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run local models for their enterprise clients. So in this video he is railing against Anthropic and OpenAI saying they are ripping eve https://pulse-3k2.pages.dev/news/39bb0556ad87 2026-07-02 monthly 0.7 https://substackcdn.com/image/youtube/w_728,c_limit/4sX_He5c4sI [AINews] not much happened today another quiet day. https://pulse-3k2.pages.dev/news/22adc689cb7e 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!yyfq!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5879355c-6a34-432c-bd6a-a4ace5715f5e_1280x850.jpeg AIEWF Daily Dispatch: Autoresearch and the tension between AI and human agency The software factory vision met resistance today from speakers defending human understanding and control. https://pulse-3k2.pages.dev/news/122379e5267c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/10/GettyImages-1452604857.jpg?resize=1200,751 Indian tech tycoon bets $30M of his own money to build AI alternative to Microsoft Office Neo is Bhavin Turakhia’s fifth venture and his latest involving enterprise software. This time he's taking on Microsoft Office, Google Apps with AI. https://pulse-3k2.pages.dev/news/e329b8d57c5d 2026-07-02 monthly 0.7 https://preview.redd.it/xs096nbstqah1.jpg?width=140&height=78&auto=webp&s=b398e4d2703483fc76719e422de2479413d69087 SenseNova-U1-8b-MoT-Infographic-V2 (released yesterday) - An open source SOTA beast for infographic design and image editing. I’m pretty jaded like most of y’all. I don’t really get excited by new models much anymore. Last few weeks have been kinda meh to be honest. Monday, I stumbled upon SenseNova’s Mixture of Transformers https://pulse-3k2.pages.dev/news/4532285e8a92 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/648f9c9af6e6 2026-07-02 monthly 0.7 https://preview.redd.it/hn43q8o3qqah1.jpg?width=140&height=140&crop=1:1,smart&auto=webp&s=ede8147f5f96914fff0d574954de9bdceaf48d35 They fit! Mostly.... 2x 3090, Thermaltake Core p3 Got another 3090 had to print a bracket to angle the radiator and make room for the GPUs 💀 ended up liking the look more than I thought ..qwen 27b go brrrrr   submitted by   /u/anthonyg45157 https://pulse-3k2.pages.dev/news/9310d163e2b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Representation as a Bottleneck for Mechanistic Interpretability: The Manifestation Unit Protocol arXiv:2607.00089v1 Announce Type: new Abstract: Mechanistic interpretability has produced a rich inventory of component-level analyses that characterise what neural-network components encode and how t https://pulse-3k2.pages.dev/news/c553ac541389 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling arXiv:2607.00095v1 Announce Type: new Abstract: Generative models have emerged as scalable surrogates for physical simulation, yet they offer no guarantee that their outputs respect the conservation l https://pulse-3k2.pages.dev/news/d35b9458fd37 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SemiScope: Disentangling Classifier Tuning and Joint Optimization in Semi-Supervised Security Classification arXiv:2607.00113v1 Announce Type: new Abstract: Background. Labeled data for security classification is scarce. Semi-supervised learning (SSL) propagates labels from a small labeled pool to larger unl https://pulse-3k2.pages.dev/news/8fe40bb59988 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Filtered Mixture-of-Generators for Fully Synthetic Survival Training arXiv:2607.00127v1 Announce Type: new Abstract: Survival analysis models time-to-event data, but in clinical settings training data are costly and scarce: events accrue over years of follow-up, cohort https://pulse-3k2.pages.dev/news/450c0aec94fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRPO, Dr. GRPO, and DAPO Are Three Operations on One Number: The Group-Standard-Deviation Identity arXiv:2607.00152v1 Announce Type: cross Abstract: Three of the most popular methods for training language models to reason look like three different tricks. They are not. All three adjust a single num https://pulse-3k2.pages.dev/news/4b2fbea4f500 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EVOTS: Evolutionary Transformer Search for Time Series Forecasting arXiv:2607.00154v1 Announce Type: new Abstract: Evolutionary neural architecture design for multivariate time-series forecasting remains underexplored, with most approaches relying on fixed Transforme https://pulse-3k2.pages.dev/news/1857f134ec5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FRAME: Learning the Adaptation Domain with a Mixture of Fractional-Fourier Experts arXiv:2607.00162v1 Announce Type: new Abstract: Parameter-efficient fine-tuning (PEFT) reparameterizes weight updates in a fixed basis: low-rank adapters operate in the spatial domain, while a recent https://pulse-3k2.pages.dev/news/b0a4faff5b0b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verifiable Rewards for Calibrated Probabilistic Forecasting arXiv:2607.00164v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards can in principle train calibrated probabilistic forecasters, since a proper scoring rule such as the Brie https://pulse-3k2.pages.dev/news/2e419625a00e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scaling Up Thermodynamic AI Models arXiv:2607.00170v1 Announce Type: new Abstract: Thermodynamic computing devices based on the Ising model show great promise for low-power AI inference and edge computing, but scalable methods for trai https://pulse-3k2.pages.dev/news/195eb46fdea0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TallyTrain: Communication-Efficient Federated Distillation arXiv:2607.00173v1 Announce Type: new Abstract: Federated learning is bandwidth-bound on two orthogonal axes: model size, which limits how often parameter-averaging methods can afford to merge, and cl https://pulse-3k2.pages.dev/news/8829266a37eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Play Like Champions: Counterfactual Feedback Generation in Latent Space arXiv:2607.00190v1 Announce Type: new Abstract: Recent advances in reinforcement learning have produced superhuman agents across a wide range of competitive games. As a byproduct, researchers have beg https://pulse-3k2.pages.dev/news/f4d1b86971de 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TRIE: An Evaluation Framework for Stochastic PDE Surrogates arXiv:2607.00196v1 Announce Type: new Abstract: Many scientific systems exhibit uncertainty from stochastic forcing, unresolved degrees of freedom, or imperfect observations, making reliable surrogate https://pulse-3k2.pages.dev/news/bb009bcf3b52 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png StateFlow: Dual-State Recurrent Modeling for Long-Horizon Time Series Forecasting arXiv:2607.00197v1 Announce Type: new Abstract: Long-horizon multivariate time series forecasting (LTSF) remains challenging due to non-stationarity, regime shifts, and error accumulation. The Variabi https://pulse-3k2.pages.dev/news/f239b87cd87a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts arXiv:2607.00249v1 Announce Type: new Abstract: New device layouts pose a challenging modeling problem due to the lack of large datasets for each specific layout. Biosignal foundation models offer a p https://pulse-3k2.pages.dev/news/1129f29b903d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distributionally Robust Linear Regression With Block Lewis Weights arXiv:2607.00252v1 Announce Type: new Abstract: We present an algorithm for the group distributionally robust (GDR) least squares problem. Given $m$ groups, a parameter vector in $\mathbb{R}^d$, and s https://pulse-3k2.pages.dev/news/e0b202ddebfe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning dynamical systems from noisy data with Weak-form Kernel Ridge Regression arXiv:2607.00257v1 Announce Type: new Abstract: Accurate prediction of complex dynamical systems from noisy measurements remains a significant challenge in scientific computing. Kernel ridge regressio https://pulse-3k2.pages.dev/news/4b333db04b8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Validating Causal Abstraction Metrics on Simulated Complex Systems arXiv:2607.00267v1 Announce Type: new Abstract: A central goal of science is to produce valid explanations of complex systems: high-level causal accounts that faithfully reflect the behavior of lower- https://pulse-3k2.pages.dev/news/b6dabcfaf3aa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning arXiv:2607.00275v1 Announce Type: new Abstract: Federated Learning (FL) is a distributed machine learning (ML) paradigm with collaboration among multiple clients without sharing data. FL is challengin https://pulse-3k2.pages.dev/news/90c21a430902 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds arXiv:2607.00276v1 Announce Type: cross Abstract: Current large-language-model (LLM) physics benchmarks are usually scored by answer accuracy, which cannot distinguish genuine reasoning from recall of https://pulse-3k2.pages.dev/news/d21f30fe4111 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example arXiv:2607.00280v1 Announce Type: new Abstract: Airbnb is a community based on connection and belonging -- many hosts on Airbnb are everyday people who share their worlds to provide guests with the fe https://pulse-3k2.pages.dev/news/760e9d5938b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EPC: A Standardized Protocol for Measuring Evaluator Preference Dynamics in LLM Agent Systems arXiv:2607.00297v1 Announce Type: cross Abstract: When LLM agents use evaluator feedback to adapt their behavior in closed loops, evaluator biases propagate through the agent's strategy distribution - https://pulse-3k2.pages.dev/news/1aa09ce1587a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Modeling of Quantum Distribution with Functional Flow Matching arXiv:2607.00301v1 Announce Type: new Abstract: The emergence of powerful deep generative models based on diffusion and flow matching has enabled the learning and modeling of complex distributions. Le https://pulse-3k2.pages.dev/news/91b975332a7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mapping the Evaluation Frontier: An Empirical Survey of the Bias-Reliability Tradeoff Across Eleven Evaluator-Agent Conditions arXiv:2607.00304v1 Announce Type: cross Abstract: The bias-reliability tradeoff conjectures that LLM evaluation systems are constrained in (gamma, H, CV) space, where evaluator coupling (gamma), strat https://pulse-3k2.pages.dev/news/5e25d015659a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Watermarking for Proprietary Dataset Protection arXiv:2607.00325v1 Announce Type: cross Abstract: A growing body of literature suggests that training data membership inference problems are fundamentally hard tasks in modern language modeling settin https://pulse-3k2.pages.dev/news/5128c6788b8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png K-Inverse-RFM: A Modified RFM that Bridges the Gap to Neural Networks for Data-Corrupted Mathematical Tasks arXiv:2607.00329v1 Announce Type: new Abstract: Recursive Feature Machines (RFMs) are a class of kernel machines that utilize the Average Gradient Outer Product (AGOP) as a mechanism for feature learn https://pulse-3k2.pages.dev/news/cf069606052c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PRISM: Prioritized Channel Importance with Semi-supervised Domain Adaptation for Cross-Subject EEG Emotion Recognition arXiv:2607.00358v1 Announce Type: new Abstract: Electroencephalogram (EEG) captures endogenous brain activity with high temporal fidelity and holds substantial promise for precise emotion decoding. Ho https://pulse-3k2.pages.dev/news/5b47fd01dbb3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport arXiv:2607.00377v1 Announce Type: new Abstract: Self-supervised Continual Graph Learning (CGL) aims to successively learn from a graph sequence with different tasks without label supervision - a parad https://pulse-3k2.pages.dev/news/dad3766a3adb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Generalizable Skill Policy with Data-Efficient Unsupervised RL arXiv:2607.00392v1 Announce Type: new Abstract: Unsupervised Reinforcement Learning (URL) aims to pre-train scalable, skill-conditioned policies without extrinsic rewards, serving as a foundation for https://pulse-3k2.pages.dev/news/afff4513ab2d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Timesynth: A Temporal Fidelity Framework for Health Signal Digital Twins arXiv:2607.00431v1 Announce Type: new Abstract: Forecasting models for health-signal digital twins must preserve the oscillatory, frequency, phase, and state-transition dynamics of physiological signa https://pulse-3k2.pages.dev/news/4210c1b70885 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gauging, Measuring, and Controlling Critic Complexity in Actor-Critic Reinforcement Learning arXiv:2607.00452v1 Announce Type: new Abstract: Actor-critic methods depend on learned critics, but critic quality is often evaluated only indirectly through return, temporal-difference error, or valu https://pulse-3k2.pages.dev/news/a9630d3b51b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules arXiv:2607.00464v1 Announce Type: cross Abstract: Current molecular generation benchmarks emphasize task complexity, molecule novelty, and property alignment; they largely overlook a critical concern: https://pulse-3k2.pages.dev/news/191f8b563b1e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Early Is Early Enough? Design-Dependent Observation-Window Sufficiency in Subscription Churn Prediction arXiv:2607.00473v1 Announce Type: new Abstract: How many days of early behavior suffice for subscription churn prediction? In the public KKBox dataset, the early indicator of churn is typically an ind https://pulse-3k2.pages.dev/news/bf96d2da2d70 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interpretable vs Learned Encoders for High-Cardinality Fraud Detection arXiv:2607.00477v1 Announce Type: new Abstract: A total of seven categorical encoding methods were tested on the IEEE-CIS fraud benchmark dataset (590,540 records, 3.5% positives, 8 high-cardinality c https://pulse-3k2.pages.dev/news/e48d8636cf5b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ghost in the Kernel: In-Context Learning with Efficient Transformers via Domain Generalization arXiv:2607.00479v1 Announce Type: new Abstract: Transformer-based large models have demonstrated remarkable generalization abilities across different tasks by leveraging a context-aware attention modu https://pulse-3k2.pages.dev/news/d0942c24aac0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PAPA: Online Personalized Active Preference Alignment arXiv:2607.00486v1 Announce Type: new Abstract: Diffusion models are highly effective at modeling complex data distributions, including images and text. However, in applications like personalized reco https://pulse-3k2.pages.dev/news/572cd270631b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prototype Language Models arXiv:2607.00510v1 Announce Type: new Abstract: Knowing which training examples drive outputs is fundamental to auditing, correcting, and understanding language models, yet for modern LLMs this remain https://pulse-3k2.pages.dev/news/e3f3f630c56c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research arXiv:2607.00512v1 Announce Type: new Abstract: Structural equation modelling (SEM) is widely used in survey-based business and information systems research to assess latent constructs and theory-driv https://pulse-3k2.pages.dev/news/3c006805caab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization arXiv:2607.00531v1 Announce Type: new Abstract: Scientific reasoning is an increasingly important capability of large language models, yet improving the robustness and efficiency of training such reas https://pulse-3k2.pages.dev/news/cb2e99d6c6bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition arXiv:2607.00535v1 Announce Type: new Abstract: Few-step flow-map generators, such as consistency models and MeanFlow, accelerate sampling by directly learning long-range transport maps between noise https://pulse-3k2.pages.dev/news/daaa3aff576f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Group-Equivariant Poincar\'e Convolutional Networks arXiv:2607.00556v1 Announce Type: new Abstract: While recent advancements like the Poincar\'e ResNet have demonstrated the potential of learning visual representations directly in hyperbolic space, th https://pulse-3k2.pages.dev/news/4ed8e96c304a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decision-focused Sparse Tangent Portfolio Optimization arXiv:2607.00581v1 Announce Type: new Abstract: Sparse tangent portfolio optimization aims to learn an interpretable, low-cardinality portfolio in the tangency direction of the mean-variance frontier. https://pulse-3k2.pages.dev/news/34b52a448708 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring Dead Directions: Decomposing and Classifying Singular Structure off Canonical Alignment arXiv:2607.00603v1 Announce Type: new Abstract: We give a descent-free, alignment-free measurement of singular structure on trained networks. At a single frozen checkpoint the read recovers the order https://pulse-3k2.pages.dev/news/1fd2b9101e78 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Loss Smoothing for Stable Adaptation Under Distribution Shift arXiv:2607.00634v1 Announce Type: new Abstract: In settings such as fine-tuning and reinforcement learning, neural networks are often adapted under distribution shift. Standard adaptation methods typi https://pulse-3k2.pages.dev/news/7706acb956f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Label Node Classification with Label Influence Propagation arXiv:2607.00671v1 Announce Type: new Abstract: Graphs are a complex and versatile data structure used across various domains, with possibly multi-label nodes playing a particularly crucial role. Exam https://pulse-3k2.pages.dev/news/8538cac0e410 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distributed Online Bandit Submodular Maximization with Bounded Sampling Violations arXiv:2607.00680v1 Announce Type: new Abstract: We study distributed online submodular maximization under partition matroid constraints, in which multiple agents select a limited number of actions fro https://pulse-3k2.pages.dev/news/e742d7a72fdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AdaBoosting Text Prompts for Vision-Language Models arXiv:2607.00684v1 Announce Type: new Abstract: The classification accuracy of pretrained Vision-Language Models (VLMs) relies on the quality of the text prompts. Handcrafted templates and Large Langu https://pulse-3k2.pages.dev/news/9c2b3162c0a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Refinement for Low-Budget Black-Box Optimization arXiv:2607.00691v1 Announce Type: new Abstract: Black-box optimization is a fundamental science and engineering tool that makes it possible to optimize objectives without gradient information. Unfortu https://pulse-3k2.pages.dev/news/39996f47d88b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detecting the Undetectable: Enhancing Unsupervised time series Anomaly Detection via Active Learning arXiv:2607.00720v1 Announce Type: new Abstract: Despite the increasing sophistication of industrial AI systems, the ability to reliably detect subtle and noisy anomalies in complex time series data re https://pulse-3k2.pages.dev/news/ae2dd0ca95e1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data arXiv:2607.00733v1 Announce Type: new Abstract: Mechanistic modeling via ordinary differential equations (ODEs) provides interpretable descriptions of complex dynamics and enables inference of underly https://pulse-3k2.pages.dev/news/48452bc21199 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MosaicKV: Serving Long-Context LLM with Dynamic Two-D KV Cache Compression arXiv:2607.00760v1 Announce Type: new Abstract: Long-context LLM services now sustain prompts with hundreds of thousands to millions of tokens, making the key-value (KV) cache a first-order serving co https://pulse-3k2.pages.dev/news/29eb0a495628 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Accelerating Discrete Diffusion Models with Parallel-In-Time Sampling arXiv:2607.00773v1 Announce Type: new Abstract: Discrete diffusion models are widely used for learning and generating discrete distributions. As the generation process is inherently sequential, the ac https://pulse-3k2.pages.dev/news/4469f749e84a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Which Metric Reflects the Spelling Rate Accuracy in Event-Related Potential-Based Brain-Computer Interfaces? arXiv:2607.00794v1 Announce Type: new Abstract: For predictive models, the often-reported performance metrics are the loss and accuracy. In synchronous Brain- Computer Interface (BCI) systems, these m https://pulse-3k2.pages.dev/news/38be91a0181c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization arXiv:2607.00796v1 Announce Type: new Abstract: Visual Reinforcement Learning (VRL) has achieved considerable success in solving control tasks. However, generalizing learned policies to new environmen https://pulse-3k2.pages.dev/news/e1fa61871d4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos arXiv:2607.00808v1 Announce Type: new Abstract: Pre-training on large-scale videos to improve reinforcement learning efficiency is promising yet remains challenging. Existing methods typically treat t https://pulse-3k2.pages.dev/news/e8b6c13f1b2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training arXiv:2607.00811v1 Announce Type: new Abstract: Unsupervised pre-training on large-scale datasets has demonstrated significant potential for improving the sample efficiency and performance of Reinforc https://pulse-3k2.pages.dev/news/e1c1dfcb634c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spectroscopy Analysis with Machine Learning Regression for the Quantification of Carbon and Nitrogen Contents in Inceptisol and Oxisol Soil Types: Comparing Different Preprocessing and Validation methods as well as Feature Importance arXiv:2607.00834v1 Announce Type: new Abstract: Near-Infrared (NIR) spectroscopy has emerged as a promising alternative to traditional soil analysis methods, offering advantages such as speed, low cos https://pulse-3k2.pages.dev/news/8bf49d993360 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Bayesian Optimisation with Multiple Information Sources arXiv:2607.00865v1 Announce Type: new Abstract: Bayesian Optimisation (BO) under unknown constraints is particularly challenging when feasible regions are small. In such settings, existing methods tha https://pulse-3k2.pages.dev/news/918c7fbe1665 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Activation Alignment:The Alignment-Diversity Tradeoff in Task-Aware LLM Quantization arXiv:2607.00908v1 Announce Type: new Abstract: Mixed-precision quantization (MPQ) has become a key technique for deploying large language models under stringent memory and compute constraints. We fir https://pulse-3k2.pages.dev/news/4cba0a60971a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Valdi: Value Diffusion World Models arXiv:2607.00917v1 Announce Type: new Abstract: World models can enable Model Predictive Control (MPC), but this requires dynamics prediction that is both fast enough for online use and expressive eno https://pulse-3k2.pages.dev/news/1ae3632cc6a6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm arXiv:2607.00926v1 Announce Type: new Abstract: Generalizing machine learning models to environments that differ from their training distribution remains a critical hurdle, particularly when data from https://pulse-3k2.pages.dev/news/fa85e01dc924 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Explainable AI for Cancer Drug Response Prediction: Beyond Univariate Feature Attributions arXiv:2607.00931v1 Announce Type: new Abstract: Predicting cancer drug response from transcriptomic profiles is a cornerstone of precision oncology, yet the scientific value of machine learning models https://pulse-3k2.pages.dev/news/f3660ae22cdd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffeomorphic Optimization arXiv:2607.00947v1 Announce Type: new Abstract: Generative models learn data distributions that reside on a low-dimensional manifold within a higher-dimensional ambient space. Optimizing differentiabl https://pulse-3k2.pages.dev/news/850b9b5bc19e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations arXiv:2607.00956v1 Announce Type: new Abstract: Time-series models are often evaluated by what they can forecast or classify, but those scores do not show whether their representations preserve the pr https://pulse-3k2.pages.dev/news/03dbd5625f66 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LeNEPA: No-Augmentation Next-Latent Prediction for Time-Series Representation Learning arXiv:2607.00958v1 Announce Type: new Abstract: Time series are central to modern data mining applications, from industrial telemetry and server metrics to finance and physiology, yet time-series self https://pulse-3k2.pages.dev/news/e857a8e79938 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automatic Detection of Stress from Speech in the Trier Social Stress Test arXiv:2607.00986v1 Announce Type: new Abstract: Automatically detecting stress in speech provides an unobtrusive way to gain insights relevant to behavioral research or clinical assessment. This study https://pulse-3k2.pages.dev/news/f8b7088178fd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Model Proposal based Particle Filtering for Data Assimilation arXiv:2607.01012v1 Announce Type: new Abstract: Data assimilation models state dynamics conditioned on sequential observations, and has wide-ranging scientific applications. In the filtering setting, https://pulse-3k2.pages.dev/news/7c91f1c426d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling arXiv:2607.01022v1 Announce Type: new Abstract: Spatiotemporal point processes (STPPs) model event data in continuous time and space, with applications in mobility, epidemiology, and public safety. Re https://pulse-3k2.pages.dev/news/cb04bde1887b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology arXiv:2607.01033v1 Announce Type: new Abstract: Model organisms (MOs) - language models trained to exhibit undesired or unnatural behaviours - are frequently used as testbeds for evaluating white-box https://pulse-3k2.pages.dev/news/a00ddc10e4c4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GSRQ: Gain-Shape Residual Quantization for Sub-1-bit KV Cache arXiv:2607.01065v1 Announce Type: new Abstract: The deployment of Large Language Models (LLMs) with extended context windows is increasingly constrained by the linear growth of Key-Value (KV) cache me https://pulse-3k2.pages.dev/news/8fe274243780 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization arXiv:2607.01080v1 Announce Type: new Abstract: We investigate Gaussian process (GP) bandit optimization with quantum kernels, assuming the mean reward function lies in the reproducing kernel Hilbert https://pulse-3k2.pages.dev/news/6b0215fe5f24 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting arXiv:2607.01082v1 Announce Type: new Abstract: Spatio-temporal point-process models must often generalise across space when local event histories are sparse. We study whether exogenous spatial contex https://pulse-3k2.pages.dev/news/328bf90fc71f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Staleness-Learning Rate Scaling Laws for Asynchronous RLHF arXiv:2607.01083v1 Announce Type: new Abstract: High-throughput RLHF systems often decouple rollout generation from policy optimization, leading to the use of stale rollouts during learner updates. In https://pulse-3k2.pages.dev/news/da5f0941b4af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CausalMix: Data Mixture as Causal Inference for Language Model Training arXiv:2607.01104v1 Announce Type: cross Abstract: In Large Language Model (LLM) training, data mixing plays a pivotal role in determining model performance. Recent methods optimize mixture weights via https://pulse-3k2.pages.dev/news/43e3068ddbd8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SynLaD: Latent Diffusion for Generating Synthesizable Molecules Conditioned on 3D Pharmacophore Profiles arXiv:2607.01105v1 Announce Type: new Abstract: We present SynLaD, a latent diffusion framework for small-molecule generation that unifies ligand-based drug design objectives (what to make) with synth https://pulse-3k2.pages.dev/news/3b16237c96b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Muon as a Residual Connection arXiv:2607.01124v1 Announce Type: new Abstract: Muon has recently emerged as one of the most effective optimizers for training large neural networks, yet its empirical success has been explained from https://pulse-3k2.pages.dev/news/42943328b593 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ZO-Act: Efficient Zeroth-Order Fine-Tuning via One-Shot Activation-Informed Low-Rank Subspaces arXiv:2607.01125v1 Announce Type: new Abstract: Zeroth-order (ZO) optimization enables fine-tuning large language models when backpropagation is unavailable or memory-prohibitive, but existing methods https://pulse-3k2.pages.dev/news/8051c2789373 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GAIA: Geometry-Adaptive Operator Learning for Forward and Inverse Problems arXiv:2607.01128v1 Announce Type: new Abstract: Operator learning for partial differential equations (PDEs) on arbitrary geometries builds fast neural surrogates for large-scale simulation. Although r https://pulse-3k2.pages.dev/news/f59cf007a5b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search arXiv:2607.01144v1 Announce Type: new Abstract: While generative models have enabled training-free reward alignment, current methods typically excel in local exploration within narrow regions of the u https://pulse-3k2.pages.dev/news/40c5dd464730 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Lightweight Self-Supervised Learning Framework for Multivariate Time Series using Hierarchical-JEPA on ECG Data arXiv:2607.01145v1 Announce Type: new Abstract: Data analysis in the medical domain often encounters scenarios involving a limited target dataset and a large, unannotated dataset with a general distri https://pulse-3k2.pages.dev/news/19b2db6f35cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Compression of Structured and Unstructured Volumes via Learned 3D Gaussian Representation arXiv:2607.01164v1 Announce Type: new Abstract: Recent work has shown that implicit neural representations (INRs) can be trained to effectively compress structured and unstructured volume data, allowi https://pulse-3k2.pages.dev/news/7f4c2b7c7242 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decision-Aware Training for Sample-Based Generative Models arXiv:2607.01171v1 Announce Type: new Abstract: Sample-based generative models are increasingly used for probabilistic forecasting in high-stakes decision settings, yet their training objectives are b https://pulse-3k2.pages.dev/news/5680e803868c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QuasiMoTTo: Quasi-Monte Carlo Test-Time Scaling arXiv:2607.01179v1 Announce Type: cross Abstract: Scaling inference compute, by generating many parallel attempts per problem, is a costly but reliable lever for improving language model capabilities. https://pulse-3k2.pages.dev/news/a537aeffcbe6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations arXiv:2607.01181v1 Announce Type: cross Abstract: RL with verifiable rewards (RLVR) has emerged as a powerful paradigm for training LMs on tasks with well-defined success metrics, such as code generat https://pulse-3k2.pages.dev/news/3bf61ff50af0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Certificate Pricing for Combinatorial Optimization Problems arXiv:2607.01185v1 Announce Type: new Abstract: Combinatorial optimization (CO) problems are difficult because certifiable discrete structure induces exponential search. One needs to search over the s https://pulse-3k2.pages.dev/news/10b8dfa6b11d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantum vs. Classical Machine Learning: A Unified Empirical Comparison arXiv:2607.01197v1 Announce Type: new Abstract: Quantum computing has emerged as a promising computational paradigm for machine learning (ML), with the potential to offer computational advantages over https://pulse-3k2.pages.dev/news/698bb76ab198 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TiRex-2: Generalizing TiRex to Multivariate Data and Streaming arXiv:2607.01204v1 Announce Type: new Abstract: We introduce TiRex-2, a recurrent xLSTM-based time series foundation model that generalizes the univariate TiRex to multivariate forecasting with both p https://pulse-3k2.pages.dev/news/04e5f92f15d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Language-Critique Imitation Learning from Suboptimal Demonstrations arXiv:2607.01225v1 Announce Type: new Abstract: Prior work on imitation learning from suboptimal demonstrations typically relies on compressed supervision signals such as confidence estimates, discrim https://pulse-3k2.pages.dev/news/b7dfd5c09559 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training arXiv:2607.01232v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a central component of post-training large language models (LLMs), yet little is understood about how RL adapta https://pulse-3k2.pages.dev/news/1ac724a3508c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Advanced Encoders Lag on Sparse Retrieval? The Answer and an Approach to Bridging Vocabulary Gaps arXiv:2607.00004v1 Announce Type: cross Abstract: While advanced foundation models like ModernBERT significantly outperform older architectures in dense retrieval, they surprisingly lag behind the agi https://pulse-3k2.pages.dev/news/39b86f69a8ba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Urban Deceleration Behavior Modes Under Scene Context: An Early-Kinematic Classifier from Argoverse 2 Multi-Agent Trajectories arXiv:2607.00027v1 Announce Type: cross Abstract: Urban deceleration is one of the most empirically studied yet least taxonomically organized behaviors in car-following research. Recent perception-equ https://pulse-3k2.pages.dev/news/9fbdbbfb6116 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves arXiv:2607.00051v1 Announce Type: cross Abstract: Accurate modeling of wind turbine power curves is crucial for optimal wind farm operation. Nearly all existing power curve models focus on temporal va https://pulse-3k2.pages.dev/news/01a62503d8d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and Trust arXiv:2607.00083v1 Announce Type: new Abstract: Language models have changed from unreliable text generators to highly-capable large models with trillions of parameters. Capability increases come hand https://pulse-3k2.pages.dev/news/e793b8df399c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CogTax: A Four-Level Cognitive Taxonomy for Command-Line Computing Education arXiv:2607.00140v1 Announce Type: cross Abstract: As computing education expands beyond traditional programming into operational domains such as systems administration and command-line environments, e https://pulse-3k2.pages.dev/news/3c92566c8d7f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Mechanism-Driven Theory of Phase Transitions in Active Learning arXiv:2607.00144v1 Announce Type: cross Abstract: Active learning (AL) performance is known to be budget-dependent, yet regimes are typically defined by heuristic label counts that fail to generalize https://pulse-3k2.pages.dev/news/4e5abdd539d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Steal the Patch Size: Adversarially Manipulate Vision-Language Models arXiv:2607.00174v1 Announce Type: cross Abstract: We present a black-box model-stealing attack that recovers private vision-tokenizer configurations of deployed vision-language models (VLMs), includin https://pulse-3k2.pages.dev/news/256b6b657b0e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HydraCollab: Adaptive Collaborative-Perception for Distributed Autonomous Systems arXiv:2607.00191v1 Announce Type: cross Abstract: Collaborative-perception enables multi-robot systems to enhance situational awareness by sharing perceptual information. Existing collaborative-percep https://pulse-3k2.pages.dev/news/37271cb13ea8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Homogenization of $\ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent arXiv:2607.00207v1 Announce Type: cross Abstract: We develop a framework for analyzing the learning dynamics of $\ell_2$-adversarial training of single-index models on Gaussian mixtures in the high-di https://pulse-3k2.pages.dev/news/d2eaad509656 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SLIM-RL: Risk-Budgeted Random-Masking RL for Diffusion LLMs Without Trajectory Slicing arXiv:2607.00208v1 Announce Type: new Abstract: Reinforcement learning for diffusion large language models (dLLMs) has largely moved to trajectory-aware methods. The current state of the art, TraceRL, https://pulse-3k2.pages.dev/news/7b7813d25b2d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics arXiv:2607.00224v1 Announce Type: cross Abstract: Watermarking promises a statistical trace of large language model (LLM) use, but real documents, after editing or paraphrasing, rarely arrive as purel https://pulse-3k2.pages.dev/news/d9d7111c9f77 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leveraging Multimodality for Real-Time Classification of Transients and Variables found by the Zwicky Transient Facility arXiv:2607.00228v1 Announce Type: cross Abstract: Modern time-domain surveys such as the Zwicky Transient Facility (ZTF) generate hundreds of thousands of alerts each night, making real-time decisions https://pulse-3k2.pages.dev/news/7a88e04f92ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Persona Without Substrate: Regime-Dependence and the LLM Individuation Problem arXiv:2607.00006v1 Announce Type: new Abstract: Beckmann & Butlin's (2026) ontological framework for the LLM individuation problem inherits an unargued cross-regime co-reference assumption from the pe https://pulse-3k2.pages.dev/news/eab4590488d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Controllable Narrative Rendering for Enhanced Assisted Writing arXiv:2607.00009v1 Announce Type: new Abstract: Despite the remarkable proficiency of large language models (LLMs) in basic writing assistance, their utility in creative writing is fundamentally hinde https://pulse-3k2.pages.dev/news/6c4be29690e3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking Frontier LLMs on Arabic Cultural and Sociolinguistic Knowledge: A Cross-Evaluation Framework with Human SME Ground Truth arXiv:2607.00139v1 Announce Type: new Abstract: The cost of human expert evaluation is a principal bottleneck to deploying language models in specialized, high-stakes domains. This is particularly acu https://pulse-3k2.pages.dev/news/1952e0c43a0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hate Speech Detection in Turkish and Arabic Languages: A Comprehensive Study arXiv:2607.00143v1 Announce Type: new Abstract: Online hate speech has been linked to a global rise in violence against minorities, including incidents such as mass shootings, lynchings, and ethnic cl https://pulse-3k2.pages.dev/news/4909e559fa7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Readable but Not Controllable: Neuron-Level Evidence for Medical LLM Hallucination arXiv:2607.00158v1 Announce Type: new Abstract: Hallucination remains one of the central obstacles to deploying medical LLMs. Yet, even when hallucination can be detected, it is still unclear whether https://pulse-3k2.pages.dev/news/9a4b015ad851 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Identifying and Resolving Pitfalls of Knowledge-Based VQA Benchmarks: Auditing, Repairing, and Augmenting arXiv:2607.00159v1 Announce Type: new Abstract: Knowledge-Based Visual Question Answering (KB-VQA) aims to evaluate whether Visual Language Models (VLMs) can retrieve, ground, and reason over external https://pulse-3k2.pages.dev/news/0239353af32a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ALEE: Any-Language Evaluation of Embeddings via English-Centric Minimal Pairs arXiv:2607.00171v1 Announce Type: new Abstract: Text embeddings are standard for semantic similarity tasks, yet their evaluation remains an open challenge. Current benchmarks are static, cover only a https://pulse-3k2.pages.dev/news/f47be2b3efa4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structural Pattern Mining in Inka Khipus: Unsupervised Clustering, Provenance Classification, and a Computational Validation of the Santa Valley Match arXiv:2607.00185v1 Announce Type: new Abstract: Khipus--knotted cord devices--were the primary recording medium of the Inka Empire (c. 1400-1532 CE), yet their system remains undeciphered. We present https://pulse-3k2.pages.dev/news/180dd719dea9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LV-ROVER: Multi-Stream Tesseract Voting for Maltese Paragraph OCR arXiv:2607.00250v1 Announce Type: new Abstract: Maltese has decent text corpora and pretrained language models, but, like many languages outside the handful with large OCR benchmarks, only a single kn https://pulse-3k2.pages.dev/news/bd5a5bda4d6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SEFORA: Student Essays with Feedback Corpus and LLM Feedback Evaluation Framework arXiv:2607.00274v1 Announce Type: new Abstract: Effective writing feedback is among the strongest drivers of student learning, yet producing it at scale is labor-intensive. LLMs offer a natural path t https://pulse-3k2.pages.dev/news/0b3f963a8626 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TRACE: State-Aware Query Processing over Temporal Evidence Graphs for Conversational Data arXiv:2607.00339v1 Announce Type: new Abstract: Conversational data is increasingly used as a persistent source of user state for long-running assistants and AI agents. However, querying this data rem https://pulse-3k2.pages.dev/news/a717e87e3e84 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DiscoLoop: Looping Discrete Embeddings and Continuous Hidden States for Multi-hop Reasoning arXiv:2607.00341v1 Announce Type: new Abstract: Large language models achieve strong performance on many reasoning tasks when allowed to externalize intermediate steps as Chain-of-Thought (CoT). Howev https://pulse-3k2.pages.dev/news/d230eedf508f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Perplexity: A Behavioral Evaluation Framework for Deployment-Memory Claims in LLM Test-Time Training arXiv:2607.00368v1 Announce Type: new Abstract: Large language model test-time training (TTT) is often evaluated through local proxy metrics: models are updated on recent tokens, retrieved context, ta https://pulse-3k2.pages.dev/news/8e9fb8242bef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Mechanistic View of Authority Hierarchy in LLM Sycophancy arXiv:2607.00415v1 Announce Type: new Abstract: Authority bias poses a critical safety concern in language models: models systematically prioritize social cues from authority figures over factual cons https://pulse-3k2.pages.dev/news/4a48c633d3b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Speech Playground: An Interactive Tool for Speech Analysis and Comparison arXiv:2607.00418v1 Announce Type: new Abstract: This paper presents Speech Playground, an interactive speech visualization and comparison tool. While existing tools such as Praat are excellent, it can https://pulse-3k2.pages.dev/news/9a7442920045 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Selective Test-Time Debiasing for CLIP via Reward Gating arXiv:2607.00423v1 Announce Type: new Abstract: Vision language models (VLMs) demonstrate strong zero-shot performance, but often perpetuate social stereotypes in person-centric queries, yielding skew https://pulse-3k2.pages.dev/news/966b536ab647 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Why Language Models Hallucinate: Testing Reasoning Against Priors arXiv:2607.00447v1 Announce Type: new Abstract: Large language models often produce hallucinated answers that violate prompt-level constraints. A key diagnostic question is whether these failures refl https://pulse-3k2.pages.dev/news/cff66507372e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking arXiv:2607.00482v1 Announce Type: new Abstract: Reasoning language models frequently overthink: generating extended chains of behaviors such as hedging, approach abandonment, and self contradiction th https://pulse-3k2.pages.dev/news/8d3a871ff1f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Multilingual Reasoning Transfer via Progressive Code-Switching arXiv:2607.00485v1 Announce Type: new Abstract: Large reasoning models (LRMs) have achieved strong reasoning capabilities in English, yet their performance degrades significantly when required to reas https://pulse-3k2.pages.dev/news/03dbec602485 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal arXiv:2607.00501v1 Announce Type: new Abstract: We present BaseRT, a native Metal inference runtime for large language models (LLMs) on Apple Silicon, and report the highest inference throughput on th https://pulse-3k2.pages.dev/news/c37f3b2a31c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Task-State Representation for Long-Horizon Mobile GUI Agents arXiv:2607.00502v1 Announce Type: new Abstract: While long-horizon mobile GUI agents typically rely on thought-action-observation loops, they struggle to separate persistent task states from transient https://pulse-3k2.pages.dev/news/df1f29644e68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dual-Confidence Contrastive Decoding for Retrieval-Augmented Generation arXiv:2607.00570v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) increasingly requires models to answer questions from multiple retrieved documents, where only some sources are rel https://pulse-3k2.pages.dev/news/73c31af6fdc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Safe Alone, Unsafe Together: Safeguarding Against Implicit Toxicity When Benign Images Combine arXiv:2607.00576v1 Announce Type: new Abstract: Multi-image content has become an increasingly prevalent form of visual communication in social media, giving rise to a new safety issue, multi-image im https://pulse-3k2.pages.dev/news/80261b5ea38c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low Perplexity is Repetition: A One-Dimensional Self-Conditioning Attractor in Continuous Diffusion LMs arXiv:2607.00588v1 Announce Type: new Abstract: Continuous diffusion language models such as ELF report record-low generative perplexity (Gen-PPL). We find a catch: these models repeat far more than h https://pulse-3k2.pages.dev/news/6d184a572d10 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Turn Agentic Scientific Literature Search via Workflow Induction arXiv:2607.00597v1 Announce Type: new Abstract: Scientific literature search often requires more than retrieving papers from a single query: users' intents are underspecified, preference-dependent, an https://pulse-3k2.pages.dev/news/b31312f05837 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png "Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo arXiv:2607.00601v1 Announce Type: new Abstract: The game of Taboo requires describing a target word without using a set of forbidden words, so that other players can guess it. This deceptively simple https://pulse-3k2.pages.dev/news/df3a3514e62a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Auditing Forgetting in Limited Memory Language Models arXiv:2607.00605v1 Announce Type: new Abstract: Limited Memory Language Models (LMLMs) externalize factual knowledge to a database to enable deletion-based unlearning without retraining. Existing eval https://pulse-3k2.pages.dev/news/7ce85e4ef926 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Faithful by Definition: Emotion Analysis via Natural Semantic Metalanguage Explications arXiv:2607.00661v1 Announce Type: new Abstract: Explanations for emotion classifiers are usually produced post hoc, with no guarantee that they reflect the computation behind the label. We present an https://pulse-3k2.pages.dev/news/31209b496005 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png YOMI-Bench: A Benchmark for Evaluating Kanji Reading and Phonological Understanding of LLMs for Japanese arXiv:2607.00664v1 Announce Type: new Abstract: We propose YOMI-Bench, a benchmark for evaluating kanji reading and phonological understanding of large language models (LLMs) for Japanese. In Japanese https://pulse-3k2.pages.dev/news/ea73c560c460 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-conditioned Flow Map Language Models via Fixed-point Flows arXiv:2607.00714v1 Announce Type: new Abstract: Self-conditioning is a core technique that enhances continuous flow-based language models, where the model learns to denoise generated text by condition https://pulse-3k2.pages.dev/news/7ae16ade0ad6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark arXiv:2607.00724v1 Announce Type: new Abstract: Multilingual fluency often invites a stronger assumption: a model that can speak a user's language must also understand the culture encoded by that lang https://pulse-3k2.pages.dev/news/3904ff01b7dd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Survives Into Context: A Diagnostic for Budget-Constrained Multi-Hop RAG and When Submodular Evidence Packing Improves It arXiv:2607.00725v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) under a fixed reader-context budget forces a selection problem: of the evidence retrieved, only a fraction can be s https://pulse-3k2.pages.dev/news/bc5434883924 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MetaHOPE: A Metaphor-Oriented Evaluation Framework for Analysing MT and LLM Translation Errors arXiv:2607.00848v1 Announce Type: new Abstract: In this opinion paper, we propose MetaHOPE, an error severity-aware annotation framework for evaluating metaphor translations. Metaphors present challen https://pulse-3k2.pages.dev/news/78c787315a39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Course of News Events: A Comparison of Bottom-Up and Top-Down Approaches for Collecting Text-Based Data about Disasters arXiv:2607.00849v1 Announce Type: new Abstract: News articles are an important source of information on disaster impacts and adaptation. A key methodological challenge in socio-environmental studies i https://pulse-3k2.pages.dev/news/b01f7a2bd173 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recovering Input Text from Hidden States: Study of Gradient-Based Inversion of Decoder-Only Language Models arXiv:2607.00852v1 Announce Type: new Abstract: This work studies the hidden-state inversion problem: recovering the original input token sequence of a decoder-only language model from its last-layer https://pulse-3k2.pages.dev/news/5791f8d9099a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CAT: Confidence-Adaptive Thinking for Efficient Reasoning of Large Reasoning Models arXiv:2607.00862v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) have achieved remarkable success on complex tasks by leveraging long chain-of-thought (CoT) trajectories, yet they frequen https://pulse-3k2.pages.dev/news/620abd98153c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dynamic Bidirectional Pattern Memory: A Production-Scale Empirical Characterisation of Inference-Time Gating in Clinical NLP arXiv:2607.00870v1 Announce Type: new Abstract: We study inference-time pattern-memory gating in a production-scale clinical natural language processing (NLP) pipeline. The pipeline pairs a generator https://pulse-3k2.pages.dev/news/cb0d37707f52 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Ethos and Pathos Appeals Resonate in Reader Interpretations of Social Media Messages arXiv:2607.00873v1 Announce Type: new Abstract: Rhetorical strategies and their influence on audiences are often studied through social media posts and comments. However, this focus overlooks the univ https://pulse-3k2.pages.dev/news/7a36ebb60b5f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages arXiv:2607.00890v1 Announce Type: new Abstract: Open web-scale pre-training corpora remain concentrated in English, limiting multilingual LLM development. We introduce MultiSynt/MT, an open synthetic https://pulse-3k2.pages.dev/news/2b293de9fe1c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Document Grounding: Span-Level Hallucination Detection over Code, Tool Output, and Documents arXiv:2607.00895v1 Announce Type: new Abstract: Hallucination detection for retrieval-augmented generation (RAG) is usually evaluated on natural-language document evidence. However, grounded generatio https://pulse-3k2.pages.dev/news/47ea8fb8f681 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives arXiv:2607.00918v1 Announce Type: new Abstract: Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and cohe https://pulse-3k2.pages.dev/news/1be57daa742c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Persona Non Grata: LLM Persona-Driven Generations in MCQA are Unstable in Distinct Dimensions arXiv:2607.00937v1 Announce Type: new Abstract: Persona-driven generations (PDGs) have seen prolific use in research and industry applications, where a large language model (LLM) takes on a 'persona' https://pulse-3k2.pages.dev/news/7b0286c2507e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantifying the Affective Gap: A Zero-Shot Evaluation of LLMs on Fine-Grained Emotion Taxonomies arXiv:2607.00968v1 Announce Type: new Abstract: Emotion recognition in natural language is a foundational challenge in affective computing, with critical implications for human-computer interaction, m https://pulse-3k2.pages.dev/news/e2c1df3cf378 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Svarna: An Open Corpus Workbench for Modern Greek arXiv:2607.00970v1 Announce Type: new Abstract: This paper introduces Svarna, a free, open-source, web-based corpus workbench for modern Greek. Svarna integrates five databases covering various regist https://pulse-3k2.pages.dev/news/6763a55a6888 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KnowledgeDebugger -- an Exploration Tool for Knowledge Localization and Editing in Transformers arXiv:2607.01000v1 Announce Type: new Abstract: Recent research has increasingly focused on understanding how Transformers store and process knowledge, as well as how this knowledge can be edited. Res https://pulse-3k2.pages.dev/news/9285bb86ce2e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads arXiv:2607.01002v1 Announce Type: new Abstract: In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span rather than literally copy-pasting https://pulse-3k2.pages.dev/news/6e5e42eeb24a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Large Language Models arXiv:2607.01006v1 Announce Type: new Abstract: Large Language Models (LLMs) represent one of the most significant advances in AI and natural language processing in recent years. Still, many pressing https://pulse-3k2.pages.dev/news/92a499ca40a2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reading Order Inference for Complex Document Layouts arXiv:2607.01018v1 Announce Type: new Abstract: Reading order inference remains a critical bottleneck in the digitization of complex historical manuscripts, where pages contain multiple spatially inte https://pulse-3k2.pages.dev/news/8ac9c40452ab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evidence-Supported Credit Risk Report Generation Using News-Centric Financial Knowledge Graphs arXiv:2607.01023v1 Announce Type: new Abstract: Financial markets evolve in response to real-world events reported in news, yet these drivers often remain implicit in text. To better explain market dy https://pulse-3k2.pages.dev/news/4b9975eed876 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Behavior-Adaptive Conversational Agents: Toward a Fluid Personality Framework arXiv:2607.01034v1 Announce Type: new Abstract: Large language model (LLM)-based conversational agents (CAs) are now ubiquitous, creating new opportunities for AI-mediated behavior change. Their capac https://pulse-3k2.pages.dev/news/e93af6279f20 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates arXiv:2607.01047v1 Announce Type: new Abstract: Complexity and interpretability rarely coincide: systems rich enough for complex behaviours to emerge are usually too opaque to question, while transpar https://pulse-3k2.pages.dev/news/56a165ccaa5d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Message Passing Enables Efficient Reasoning arXiv:2607.01077v1 Announce Type: new Abstract: While inference-time scaling has improved the reasoning abilities of large language models (LLMs), the need to generate long chains-of-thought (CoTs) is https://pulse-3k2.pages.dev/news/667a21f55a8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Clinician-Level Agreement Without Clinical Caution: LLM Evaluator Limits in Medical AI Benchmarking arXiv:2607.01103v1 Announce Type: new Abstract: Open-response evaluation provides stronger clinical validity than multiple-choice benchmarks but creates a scoring bottleneck that motivates automated L https://pulse-3k2.pages.dev/news/aa6f0434ec59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Developing a Multimodal Chat Assistant for University Stakeholders: RAG-based Approach arXiv:2607.01115v1 Announce Type: new Abstract: University stakeholders often face difficulties in accessing timely and reliable information, especially in developing countries, where there are very f https://pulse-3k2.pages.dev/news/07f6f294b993 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png $\text{Log}_\text{b}$Quant: Quantizing Language Models in Logarithmic Space arXiv:2607.01127v1 Announce Type: new Abstract: Quantization has become an invaluable tool to reduce memory requirements and inference speed of modern language models, in particular to make them avail https://pulse-3k2.pages.dev/news/107e0f96f143 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AGC-Bench: Measuring Artificial General Creativity arXiv:2607.01152v1 Announce Type: new Abstract: Creativity research has debated whether creativity is domain-specific (e.g., visual, writing, science), and if it is psychometrically separable from gen https://pulse-3k2.pages.dev/news/59556e1716eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adversarial Pragmatics for AI Safety Evaluation: A Benchmark for Instruction Conflict, Embedded Commands, and Policy Ambiguity arXiv:2607.01153v1 Announce Type: new Abstract: Safety evaluations for language models increasingly depend on judgments about ambiguous natural-language behaviour: whether a model has followed an inst https://pulse-3k2.pages.dev/news/eb1ce1e53355 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation arXiv:2607.01208v1 Announce Type: new Abstract: Language models deployed in high-stakes roles can potentially favor certain entities, brands, or viewpoints, steering user decisions at scale. Such pref https://pulse-3k2.pages.dev/news/f55b8c412adf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The State-Prediction Separation Hypothesis arXiv:2607.01218v1 Announce Type: new Abstract: Transformers use the same forward computation stream to both predict the next token and store useful state for future token predictions. We formulate th https://pulse-3k2.pages.dev/news/c2fa32e9c40e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring the Gap Between Human and LLM Research Ideas arXiv:2607.01233v1 Announce Type: new Abstract: LLMs are increasingly used to brainstorm research ideas, but existing evaluations mostly judge individual ideas by novelty, feasibility, or expert prefe https://pulse-3k2.pages.dev/news/118106713f68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Surfacing Variations to Calibrate Perceived Reliability of MLLM-generated Image Descriptions arXiv:2507.15692v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) provide new opportunities for blind and low vision (BLV) people to access visual information in their daily l https://pulse-3k2.pages.dev/news/70be854baf96 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prompt Optimization for User Simulation in Conversational Recommender Systems: A Multi-Objective Framework arXiv:2607.00010v1 Announce Type: cross Abstract: Conversational recommender systems (CRSs) are a core component of next-generation intelligent recommender systems because they enable users to activel https://pulse-3k2.pages.dev/news/5889ee2fd686 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory arXiv:2607.00017v1 Announce Type: cross Abstract: Long-term conversational agents are expected to remember past interactions, but memory is useful only when the right evidence is recalled for the righ https://pulse-3k2.pages.dev/news/2bbe987ae681 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Destination-Labeled Self-Looping Systems with Dwell: Intrinsic Characterization, Realization Cost, and Recognition arXiv:2607.00044v1 Announce Type: cross Abstract: We study a finite-state symbolic controller for systems in which the admissible visible transitions are fixed in advance and each visible state carrie https://pulse-3k2.pages.dev/news/64ff4ee3adee 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Signals to Structure: How Memory Architecture Drives Language Emergence in LLM Agents arXiv:2607.00233v1 Announce Type: cross Abstract: How do two agents invent a shared language from scratch? In a Lewis signaling game, a sender and receiver must coordinate on a code using only their i https://pulse-3k2.pages.dev/news/8afafe0decb5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An LLM-Based Framework for Intent-Driven Network Topology Design arXiv:2607.00292v1 Announce Type: cross Abstract: Designing deployable and resilient network topologies from natural language requirements remains a challenging problem in network automation. This wor https://pulse-3k2.pages.dev/news/1a5a441805b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rosetta: Composable Native Multimodal Pretraining arXiv:2607.00293v1 Announce Type: cross Abstract: Achieving true artificial general intelligence requires foundation models capable of integrating new modalities without forgetting prior knowledge. Ho https://pulse-3k2.pages.dev/news/b512b40aa83f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Text-Steerable Instrument for Sketching Procedural Soundscapes via Language Models arXiv:2607.00309v1 Announce Type: cross Abstract: We present a real-time musical interface that converts natural-language scene descriptions into evolving procedural soundscapes. A performer types a p https://pulse-3k2.pages.dev/news/f8c74b80221c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval arXiv:2607.00374v1 Announce Type: cross Abstract: Composed Image Retrieval (CIR) retrieves a target image from a reference image and a textual modification. While supervised CIR relies on costly tripl https://pulse-3k2.pages.dev/news/b3e3c08d6ec3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Classic Cache Policies Fail: Learning-Augmented Replacement for Semantic Retrieval Buffers arXiv:2607.00394v1 Announce Type: cross Abstract: LLM agents increasingly rely on retrieval buffers to store and reuse past experience, yet the cache management policies governing these buffers remain https://pulse-3k2.pages.dev/news/033b157f3e80 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NeuroCogMap Reveals Cognitive Organization of Large Language Models arXiv:2607.00397v1 Announce Type: cross Abstract: Understanding how complex cognitive functions are organized within artificial systems is central to interpreting large language models (LLMs) and rela https://pulse-3k2.pages.dev/news/3d8788967776 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning arXiv:2607.00465v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) rely extensively on Visual Instruction Tuning (VIT) to elicit their multimodal reasoning capabilities. However, w https://pulse-3k2.pages.dev/news/c9b2359f809f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MindEdit-Bench: Benchmarking Object-Level Counterfactual Spatial Reasoning in VLMs from In-the-Wild Photos arXiv:2607.00491v1 Announce Type: cross Abstract: Benchmarks for vision-language models (VLMs) mostly test observational spatial reasoning: models describe relations already visible in the input. Exis https://pulse-3k2.pages.dev/news/f1745a5cc936 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Evolving Agents with Anytime-Valid Certificates arXiv:2607.00871v1 Announce Type: cross Abstract: Self-evolving agents violate the assumption behind most learning-theoretic guarantees: the data, evaluator, components, and hypothesis space are produ https://pulse-3k2.pages.dev/news/8ea5d5b47d76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination arXiv:2607.00924v1 Announce Type: cross Abstract: Accelerating materials discovery requires AI systems that can generate scientifically valid hypotheses through multi-step, domain-grounded reasoning. https://pulse-3k2.pages.dev/news/f20df23b3ee9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Agentic generation of verifiable rules for deterministic, self-expanding reaction classification arXiv:2607.01061v1 Announce Type: cross Abstract: Computer-assisted synthesis planning breaks target molecules into accessible precursors using large libraries of reaction rules that assign each trans https://pulse-3k2.pages.dev/news/dcb967c029fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Disentangling Speaker and Language Effects in Cross-Lingual Speaker Verification for Iberian Languages arXiv:2607.01161v1 Announce Type: cross Abstract: Cross-lingual speaker verification (SV) systems typically exhibit performance degradation when enrollment and test utterances are spoken in different https://pulse-3k2.pages.dev/news/2b7cd37ca1dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Theoria: Rewrite-Acceptability Verification over Informal Reasoning States arXiv:2607.01223v1 Announce Type: cross Abstract: When should an AI system's answer be trusted? Formal proof assistants offer certainty but cannot reach most of the problem distribution; scalar LLM ju https://pulse-3k2.pages.dev/news/0612bf5ed935 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AutoMem: Automated Learning of Memory as a Cognitive Skill arXiv:2607.01224v1 Announce Type: cross Abstract: Memory expertise is a learned skill: knowing what to encode, when to retrieve, and how to organize knowledge--a capacity known in cognitive science as https://pulse-3k2.pages.dev/news/e6d7458d78a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations arXiv:2503.13445v3 Announce Type: replace Abstract: When asked to explain their decisions, LLMs can often give explanations which sound plausible to humans. But are these explanations faithful, i.e. d https://pulse-3k2.pages.dev/news/7aa22f0066b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge arXiv:2507.05740v2 Announce Type: replace Abstract: Language models are powerful artifacts, yet their factual knowledge is still poorly understood, and inaccessible to ad-hoc browsing and scalable sta https://pulse-3k2.pages.dev/news/66cc5f367b58 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toward Cybersecurity-Expert Small Language Models arXiv:2510.14113v2 Announce Type: replace Abstract: Large language models (LLMs) are transforming everyday applications, yet deployment in cybersecurity lags due to a lack of high-quality, domain-spec https://pulse-3k2.pages.dev/news/d6b79001f21f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LuxIT: A Luxembourgish Instruction Tuning Dataset from Monolingual Seed Data arXiv:2510.24434v3 Announce Type: replace Abstract: The effectiveness of instruction-tuned Large Language Models (LLMs) is often limited in low-resource linguistic settings due to a lack of high-quali https://pulse-3k2.pages.dev/news/e8b948c7623e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OpenReward: Learning to Reward Long-form Agentic Tasks via Reinforcement Learning arXiv:2510.24636v3 Announce Type: replace Abstract: Reward models (RMs) have become essential for aligning large language models (LLMs), serving as scalable proxies for human evaluation in both traini https://pulse-3k2.pages.dev/news/543e4469ec2d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reasoning Up the Instruction Ladder for Controllable Language Models arXiv:2511.04694v5 Announce Type: replace Abstract: As large language model (LLM) based systems take on high-stakes roles in real-world decision-making, they must reconcile competing instructions from https://pulse-3k2.pages.dev/news/57793741f49a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Thinking While Speaking: Inference-Time Knowledge Transfer for Responsive and Intelligent Conversational Voice Agents arXiv:2511.07397v3 Announce Type: replace Abstract: Voice agents face a fundamental tension: the reasoning, retrieval, and tool use that make foundation models capable are iterative and slow, while co https://pulse-3k2.pages.dev/news/aad54b19bb1b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graded strength of comparative illusions is explained by Bayesian inference arXiv:2511.14642v2 Announce Type: replace Abstract: Like visual processing, language processing is susceptible to illusions in which people systematically misperceive stimuli. In one such case--the co https://pulse-3k2.pages.dev/news/452b2dc263c8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ffb90239be56 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZGpEZ2AoPFpfxN7nvrzrYEVZUhBCg9ltNPqq2VWzv1I.png?width=640&crop=smart&auto=webp&s=734d965679d163b754da7e0393286f3413db849f Making LLMs Better at Creative Writing using Entropy   submitted by   /u/CountBayesie [link]   [comments] https://pulse-3k2.pages.dev/news/18dbeb9a9b39 2026-07-02 monthly 0.7 https://f-droid.org/assets/fdroid-logo_bfHl7nsLHOUQxzdU8-rGIhn4bAgl6z7k2mA3fWoCyT4=.png A new Android malware from Google Article URL: https://f-droid.org/2026/07/01/adv-malware.html Comments URL: https://news.ycombinator.com/item?id=48755965 Points: 204 # Comments: 77 https://pulse-3k2.pages.dev/news/985dec6aa94d 2026-07-02 monthly 0.7 https://v1.screenshot.11ty.dev/https%3A%2F%2Ftedium.co%2Fog-images%2F2026%2F07%2F01%2Fonline-web-forums-retrospective%2F/opengraph/?v=1782964396 Bring back crappy forums Article URL: https://tedium.co/2026/07/01/online-web-forums-retrospective/ Comments URL: https://news.ycombinator.com/item?id=48755731 Points: 207 # Comments: 124 https://pulse-3k2.pages.dev/news/eba9262c7fab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/239e34625dd7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31734/gradient.png MemLearner: Learning to Query Context memory for Video World Models Abstract MemLearner improves video world models by using learning-based adaptive context querying with query tokens to enhance scene consistency and memory in long video sequences with occlusions and https://pulse-3k2.pages.dev/news/199b58d6fde6 2026-07-02 monthly 0.7 https://external-preview.redd.it/357bFLl1YnO40h90lyieTGgrUlozMtIn4EtKvVeC0ZY.png?width=640&crop=smart&auto=webp&s=c3432c6689d7477f14995e8186b20f8943ccb665 I added MTP to local SoTA Agentic Coding Model Ornith 35B FP8 E4M3 Just wanted to share that I was looking for an optimal way to run Ornith 35B in FP8 with E4M3 and MTP with vLLM but there was no out-of-the-box model with MTP drafter support. So I grafted this new mo https://pulse-3k2.pages.dev/news/eb4801e725db 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/599cb40afb9d 2026-07-02 monthly 0.7 https://makerspet.com/wp-content/uploads/2026/06/oomwoo-vacuum_model_top.webp Oomwoo, an open-source robot vacuum you build yourself Article URL: https://makerspet.com/blog/building-an-open-source-robot-vacuum-meet-oomwoo/ Comments URL: https://news.ycombinator.com/item?id=48755005 Points: 241 # Comments: 41 https://pulse-3k2.pages.dev/news/6020b2463970 2026-07-02 monthly 0.7 https://news.ubc.ca/wp-content/uploads/2026/06/ubc_20210713_pj_9100_feature-image.jpg Global review confirms mRNA vaccines are safe, effective and full of promise Article URL: https://news.ubc.ca/2026/06/mrna-vaccines-are-safe-effective-and-full-of-promise/ Comments URL: https://news.ycombinator.com/item?id=48754963 Points: 245 # Comments: 203 https://pulse-3k2.pages.dev/news/7e29fd14ca16 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!p4Th!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe316b2cb-4200-4a71-bdcc-c398467b53ef_1280x720.jpeg Autoresearch: The feedback loop behind self-improving agents Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory. https://pulse-3k2.pages.dev/news/fa46ced9ba83 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Tbmu!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Feddca45c-7a9b-46a4-b5d7-a33a409777b0_1672x941.png Claude Sonnet 5 Is Not Frontier But Has Its Uses Fable 5 is back today, baby! Premium subscribers have one week to use it within their subscriptions. First hit’s free. Then you pay by the token. https://pulse-3k2.pages.dev/news/a1671fa891ed 2026-07-02 monthly 0.7 https://preview.redd.it/qbkvzo4s3pah1.png?width=640&crop=smart&auto=webp&s=e2dc01c36084bb590a26f6589a8c7a0029d8cf0f I extended Gemma4-31B to 44B (88 layers) — since Google won't give us anything bigger than 31B I've been just sit on this thread for a while now, both as a reader and occasional poster, so I figured it was finally time to share something I've been working on last weekends. Google hasn't shipped https://pulse-3k2.pages.dev/news/c8d55888476f 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/38961b9e-fc04-435d-a44b-7e72b0819d86_554x554.jpeg The Winning Essays for the Big Questions About AI Abolishing pandemics/ Getting out of the way of AI automation/ Learning from Honk Kong MTR's business model https://pulse-3k2.pages.dev/news/de35a29fa28d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3af17dcb7222 2026-07-02 monthly 0.7 https://external-preview.redd.it/7q8iktqnOmHdHgGNxMCQbvHkXz6extXfcSIuznTr8CA.png?width=640&crop=smart&auto=webp&s=158ee06f289fc1e95a2efb1e71a67adbc515092f Hamiltonian Neural Networks from a Differential Geometry Perspective [D] This is a write-up on our company blog that I wrote, sharing our perspective into Hamiltonian Neural Networks (Greydanus et al., 2019) from a differential-geometry angle rather than the usual "here's https://pulse-3k2.pages.dev/news/4efa70a25bb7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5d3dfc3bd799 2026-07-02 monthly 0.7 https://external-preview.redd.it/Vira45ekHIcodSJfEv5PQqN_2E5x5X6xBixTcjc29js.png?width=640&crop=smart&auto=webp&s=54a3c9c1a815739a7da019ffe317512f0282ff1d Senior SWE Bench: a new benchmark focussed on realistically underspecified feature tasks   submitted by   /u/jordo45 [link]   [comments] https://pulse-3k2.pages.dev/news/fc7d7f41fb02 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ce4813fae886 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4adc1cb92afb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/900f6281d843 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1f8dcc79f8c1 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202607/WP%20Live.png?itok=J4GyDMKj MIT in the media: Innovating and educating for the next 250 years of America During a "Washington Post Live" panel discussion with ASU President Michael Crow, President Sally Kornbluth explored how universities are preparing the next generation of scientists to lead in America https://pulse-3k2.pages.dev/news/40af32ddacaa 2026-07-02 monthly 0.7 https://external-preview.redd.it/0hxOE8LlWZm2XxEf88p10PE1-FTC97_eayKzuxLxoc0.png?width=640&crop=smart&auto=webp&s=5c3d66c4243a009afa5567e55c2be86eb06b4e3d ZCode: New Agentic Code Editor from the Makers of GLM   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/a0b3e6888d8c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.32033/gradient.png SpheRoPE: Zero-Shot Optimization-Free 360 Panorama Generation with Spherical RoPE Abstract A novel zero-shot framework injects spherical priors into pre-trained diffusion transformers for 360 panoramic generation, using spherical RoPE and semantic distortion guidance to overcome to https://pulse-3k2.pages.dev/news/18c077947e96 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fe4b56d544c1 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!E5eL!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fabcc9d84-d36a-4039-b746-155fc8dca9ca_972x640.png Fable is Back: This Safeguard Has Some AI in It! Let's analyze Anthropic and the US government's comms https://pulse-3k2.pages.dev/news/69e21e0ef41d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e0472c26abc9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/06d0252ec305 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8c8ae31981c6 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!e2BU!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0a8c541c-264c-476f-b47c-029cd970acf9_1280x720.jpeg How Cursor deploys AI inside the enterprise Cursor's Pauline Brunet explains how her team of Forward Deployed Engineers help organizations implement agents — essentially setting up software factories. https://pulse-3k2.pages.dev/news/fb4f80337936 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e18d951b4cd9 2026-07-02 monthly 0.7 https://vercel.com/api/dynamic-og?title=Secure%20internal%20communication%20between%20services&format=changelog Secure internal communication between services Service Bindings make it easy for one Vercel service to securely call another within the same deployment. When a service declares a binding for another service, Vercel automatically injects the config https://pulse-3k2.pages.dev/news/372624dec7e9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/elon-nasdaq-spacex-ipo.jpg?resize=1200,801 SpaceX has an AI device prototype, and it sure sounds phone-ish SpaceX reportedly showed investors a "handset-like" AI device before going public. It could be another signal SpaceX wants to expand into wireless. https://pulse-3k2.pages.dev/news/21ca2507d670 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3846c59276e8 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/10/GettyImages-2181797244.jpg?resize=1200,800 Ashton Kutcher leaving Sound Ventures to launch new VC firm with Morgan Beller The actor and investor is joining forces with Morgan Beller, who was previously a GP at NFX, to invest in early-stage startups. https://pulse-3k2.pages.dev/news/9452883f9ca9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a6bc56f2b3d1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.32017/gradient.png TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning Abstract TRIAGE introduces a role-typed credit assignment framework that enhances agentic reinforcement learning by providing more nuanced credit assignment than standard GRPO methods. Generated by Qw https://pulse-3k2.pages.dev/news/85b87baba2e2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b2b4afb57c15 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f8b2c754ed8f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bd077134762a 2026-07-02 monthly 0.7 https://blog.demofox.org/wp-content/uploads/2026/07/image.png What to learn to be a graphics programmer Article URL: https://blog.demofox.org/2026/07/01/what-to-learn-to-be-a-graphics-programmer/ Comments URL: https://news.ycombinator.com/item?id=48750710 Points: 209 # Comments: 108 https://pulse-3k2.pages.dev/news/1d209c558179 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/09/Matthew-Prince-co-founder-CEO-Cloudflare-1.jpg?resize=1200,800 Cloudflare’s new policy pushes AI companies to pay for publishers’ content Cloudflare is giving AI companies until September 15 to separate web crawlers used for search from those used for AI training and agents, or risk being blocked by default on many publisher sites. https://pulse-3k2.pages.dev/news/32de27b9173c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30573/gradient.png SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions Abstract SWE-Interact presents a testbed that evaluates coding agents in realistic multi-turn, user-driven software engineering scenarios, revealing significant gaps between single-turn performance an https://pulse-3k2.pages.dev/news/ef2d57fe16b2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26428/gradient.png Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly? Abstract A reinforcement learning framework called Play2Perfect enables sample-efficient robotic assembly tasks by first learning general manipulation skills through playful interaction with diverse o https://pulse-3k2.pages.dev/news/bdf21a3bd62c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30673/gradient.png PolyFlow: Continuous Topology Embedding Flow Matching for Artist-style Mesh Generation Abstract PolyFlow introduces a continuous mesh representation using a topology embedder and applies flow-matching with Transformers for parallel mesh generation, achieving faster inference and precise https://pulse-3k2.pages.dev/news/4570ff67b6b7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/de5877462670 2026-07-02 monthly 0.7 https://external-preview.redd.it/WRAHW32dsXTHhDprGGHSSegzlzCC1zRXQd056ORbeCA.png?width=140&height=70&auto=webp&s=d166efb78fd174d65c51b3e4a9685d5989ddf3f0 Plurality Released: fully Free and Open Source AI agents/chatbot platform for local AI Hello everyone! Some of you might recognize my user from the work I have done on Cosmos Cloud, but today I am here to talk to you about an entirely different project: Plurality. https://github.com/azu https://pulse-3k2.pages.dev/news/0f4a90d05ca0 2026-07-02 monthly 0.7 https://preview.redd.it/6z0m36whfnah1.png?width=640&crop=smart&auto=webp&s=51a11418cd50375161b37b3ee0f5fbb926727cdb How to improve RAM offload? I have only 12GB VRAM (RTX3060) but have enough RAM to run Qwen3.6 27B Q4 with offload. Something tells me that it won't achieve maximum performance but why DRAM speed is only around 30GB/s (HWiNFO da https://pulse-3k2.pages.dev/news/c4c5dee99841 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/image4.webp Mastering Agentic Techniques: AI Agent Reinforcement Learning Reinforcement learning (RL) is central to aligning language models, from reinforcement learning with human feedback (RLHF) within AI assistants to newer... https://pulse-3k2.pages.dev/news/bada8a687cfa 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29315/gradient.png Hierarchical Experimentalist Agents Abstract HExA enables large language models to improve through active experimentation and skill learning in novel domains without requiring training or external supervision. Generated by Qwen/Qwen2.5- https://pulse-3k2.pages.dev/news/2fa44ef0aa71 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/07/GettyImages-2280258777-1024x648.jpg After spooking Trump into safety testing, Anthropic AI models get global release US lifts curbs on Anthropic’s advanced Fable and Mythos models. https://pulse-3k2.pages.dev/news/500ab05c92b8 2026-07-02 monthly 0.7 https://preview.redd.it/qj3gtydibnah1.jpeg?width=640&crop=smart&auto=webp&s=a442108a1f5956827eab832cdfd3097084b3572b Couldn't hold back Had been waiting for months and the cards finally got delivered today. No one at my workplace was excited, maybe because no one cares for AI stuff that i work on. But I just wanted to share it with yo https://pulse-3k2.pages.dev/news/3ecb9778abad 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c412c1f74248 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/45738f0dc6c9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29985/gradient.png Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning Abstract Approach-level diversity in LLM mathematical reasoning captures strategic variation in problem-solving methods, revealing limitations of surface-level diversity metrics and highlighting chall https://pulse-3k2.pages.dev/news/75992eece400 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19297/gradient.png Does VLA Even Know the Basics? Measuring Commonsense and World Knowledge Retention in Vision-Language-Action Models Abstract Act2Answer protocol evaluates embodied vision-language-action models by having agents answer questions through physical actions, revealing knowledge retention and generalization patterns acro https://pulse-3k2.pages.dev/news/94d9052e130e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/60493d8a2b0d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22207/gradient.png Lexical Consensus: Grounded Word Learning and Shared Meaning in Artificial Agents Abstract Grounded word learning experiments using visual embeddings and lexical learners reveal that perceptual distance, rather than semantic relatedness, determines acquisition success, with distinc https://pulse-3k2.pages.dev/news/2fbe91e1d564 2026-07-02 monthly 0.7 https://preview.redd.it/v50euf4pymah1.png?width=140&height=81&auto=webp&s=b9a9d3b99087e03cd79f28ebf6ac8622dd9bcc0f P Moth-Retrieval: Graph-Free Multi-Hop Retrieval via Query-Time Orchestration (Beating Graph-Based Systems on HotpotQA) [P] We just open-sourced MOTHRAG, a multi-hop RAG framework that skips the knowledge graph entirely. We kept hitting the same wall building multi-hop RAG: the systems with the best accuracy (GraphRAG, Hip https://pulse-3k2.pages.dev/news/ddef238f955f 2026-07-02 monthly 0.7 https://preview.redd.it/alg2vzvrymah1.png?width=640&crop=smart&auto=webp&s=4070c04539dddb95ba92e0512349049c160eef03 Open Models - June 2026 After overwhelming April , OK May , here's June. Yeah, Graph has only less items. Because we got other items here last month. Finetunes : Nex-N2 Ornith-1.0 Agents-A1 Holo3.1 Tmax-27b MusaCoder-27B Vib https://pulse-3k2.pages.dev/news/37539c423959 2026-07-02 monthly 0.7 https://external-preview.redd.it/Md6hCB2FKoD-Z9NtAkUB9lhlgdCep4Zhz0cOhjBvZg4.png?width=640&crop=smart&auto=webp&s=d04a9a071bc2804e42dd19e1909f546c35230b7a gemma-4-31B on Cerebras is better than ChatGPT voice mode open models will win on inference too 🚀   submitted by   /u/paf1138 [link]   [comments] https://pulse-3k2.pages.dev/news/3676e31ac005 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b1ad3654e19b 2026-07-02 monthly 0.7 https://external-preview.redd.it/t4cNt5D638DSOJgsxl8f-7IwJhLpxHIh7HxK5GHcBJE.png?width=640&crop=smart&auto=webp&s=9b72b5025e78c2cc97de15c8fea348f262235ecb SWE-rebench leaderboard update: GLM-5.2, Qwen3.6-27B, Qwen3.6-35B-A3B, Gemma 4 31B and more + improved UI Hi all, We made several updates to the SWE-rebench leaderboard: added new models, refreshed recent results, and reworked the leaderboard UI to make results easier to read, compare, and understand. New https://pulse-3k2.pages.dev/news/af2d180901fe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/96a09ae6d6da 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/474f7328326c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bf7bbbf3587e 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!kQB7!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa4140e59-9bc8-4685-8af0-0cf86b6f998f_1280x720.jpeg Warp CEO Zach Lloyd on why software factories are the next phase of coding Warp's founder thinks every major software project will soon run on an automated factory. He discusses why and how engineers should prepare for this shift. https://pulse-3k2.pages.dev/news/fbeb7b3ac760 2026-07-02 monthly 0.7 https://media.reclaimthenet.org/2026/06/uS2Yrsa3uRef.jpg Sony Deletes 551 Movies PlayStation Owners Paid For Article URL: https://reclaimthenet.org/sony-deletes-551-studiocanal-movies-playstation-owners-paid-for Comments URL: https://news.ycombinator.com/item?id=48747389 Points: 245 # Comments: 122 https://pulse-3k2.pages.dev/news/f9391c7e278f 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/07/gpt-steady-v3.png?w=768 Venice AI becomes a unicorn with $65M Series A as its privacy-first AI platform takes off Venice AI is already profitable, with annualized run-rate revenues of over $70 million, CEO Erik Voorhees said. https://pulse-3k2.pages.dev/news/ae9fa925d739 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6cb884e934dd 2026-07-02 monthly 0.7 https://www.quantamagazine.org/wp-content/uploads/2026/07/SyntheticLife-cr-Ada-Zejun-Shen-social.jpg For first time, a cell built from scratch grows and divides https://biotic.org/research/spudcell/ Comments URL: https://news.ycombinator.com/item?id=48747304 Points: 240 # Comments: 66 https://pulse-3k2.pages.dev/news/84ff4d52cf27 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/07/Screenshot-2026-07-01-at-10.00.27-AM.jpg?resize=1200,611 Gemini Spark, Google’s agentic assistant, is now available on Mac Google's 24/7 agentic assistant, Gemini Spark, comes to Mac alongside other improvements, like real-time tracking and support for more apps. https://pulse-3k2.pages.dev/news/43994bce506e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/86b9a26ed1c3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d0eb1acc3176 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/07/Builders-Stage_ArticleHeader_tc26_V2.png?resize=1200,675 Builders Stage agenda revealed: Practical strategies for scaling startups at TechCrunch Disrupt 2026 The Builders Stage is returning to TechCrunch Disrupt 2026, bringing together 10,000+ founders, startup operators, and investors for practical conversations. and Q&A on what it takes to build and https://pulse-3k2.pages.dev/news/cb51fdc1bab7 2026-07-02 monthly 0.7 https://cf-assets.www.cloudflare.com/zkvhlag99gkb/7wA6Z3Df13eeHZkxM3Fokt/088b64cd947100b70bd0e49c845fc984/Announcing_the_Monetization_Gateway-_charge_for_any_resource_behind_Cloudflare_via_x402-OG.png Monetization Gateway: Charge for any resource behind Cloudflare via x402 Article URL: https://blog.cloudflare.com/monetization-gateway/ Comments URL: https://news.ycombinator.com/item?id=48746914 Points: 237 # Comments: 144 https://pulse-3k2.pages.dev/news/900f30621443 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30406/gradient.png MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training Abstract Multi-teacher On-Policy Distillation (MOPD) enables efficient integration of multiple domain capabilities in large language models through specialized reinforcement learning teachers and on-p https://pulse-3k2.pages.dev/news/a207502c952b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6fcb01f9e95e 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/08/GettyImages-2225880947.jpg?w=1024 Meta, like SpaceX, looks to turn excess AI compute into cash Meta is developing plans for a cloud infrastructure business, selling access to AI compute power and models. The move would pit it against the big cloud providers like Amazon Web Services, Google Clou https://pulse-3k2.pages.dev/news/169727fefdb4 2026-07-02 monthly 0.7 https://external-preview.redd.it/vbl6Me6HSxqiUXzYQB2VtiCIyMr9ZehQuID1janV0Fc.png?width=640&crop=smart&auto=webp&s=d8b6d05d792c2d4bc1fcf3547e1056db25dd5678 Deepseek V4 Flash 2, 3 and 4 bits GGUFs   submitted by   /u/tarruda [link]   [comments] https://pulse-3k2.pages.dev/news/9343259d0c3f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7807857fd746 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30599/gradient.png Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing Abstract A large-scale video editing dataset and model are introduced that support multi-task and structural manipulations through advanced data synthesis and network architectures. Generated by Qwen/ https://pulse-3k2.pages.dev/news/afb637842798 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/919aa558fc20 2026-07-02 monthly 0.7 https://ciechanow.ski/images/og/ice.jpg Internal Combustion Engine (2021) Article URL: https://ciechanow.ski/internal-combustion-engine/ Comments URL: https://news.ycombinator.com/item?id=48746076 Points: 271 # Comments: 66 https://pulse-3k2.pages.dev/news/ea6d585f658e 2026-07-02 monthly 0.7 https://preview.redd.it/tiek6r3t8mah1.jpeg?width=640&crop=smart&auto=webp&s=ced80301e26068cde07450be6898c2d1efb4c1e5 Non Us Ally should be afraid. Spyware-like code in Claude Code that covertly targets Chinese users.   submitted by   /u/zakadit [link]   [comments] https://pulse-3k2.pages.dev/news/1f07512ad0fc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.32034/gradient.png QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents Abstract A testbed called QVal is introduced for evaluating dense supervision signals in long-horizon LLM agent tasks by measuring how well method scores align with Q-values, enabling fair comparison https://pulse-3k2.pages.dev/news/1ff9bf65b99f 2026-07-02 monthly 0.7 https://blog.playstation.com/tachyon/2026/07/70bb22030b29f4234fd812253bf1129b00609c4c.jpg Physical disc production ending in Jan 2028 for new games on PlayStation Article URL: https://blog.playstation.com/2026/07/01/physical-disc-production-ending-in-january-2028-for-new-games-releasing-on-playstation-consoles/ Comments URL: https://news.ycombinator.com/item?id https://pulse-3k2.pages.dev/news/0d69118d61ce 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e74b944dcd81 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bb26f4e6d598 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31247/gradient.png FlexiSLM: A Dynamic and Controllable Frame Rate Spoken Language Model Abstract Flexible Spoken Language Model (FlexiSLM) introduces dynamic frame rate capabilities for speech input and output, achieving superior performance over fixed-frame-rate models while enabling co https://pulse-3k2.pages.dev/news/343e1b67a0a5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/395ae10d7957 2026-07-02 monthly 0.7 https://i0.wp.com/mynintendonews.com/wp-content/uploads/2024/09/nintendo_logo.jpg?fit=2048%2C1341&ssl=1 Nintendo has raised its employees base salary by 10% Article URL: https://mynintendonews.com/2026/06/26/nintendo-has-raised-its-employees-base-salary-by-10/ Comments URL: https://news.ycombinator.com/item?id=48745113 Points: 219 # Comments: 91 https://pulse-3k2.pages.dev/news/141cf336361f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0c5c55c52653 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/709f4de68ec0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23127/gradient.png Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation Abstract Procedural memory enhances LLM agents on workplace tasks through skill transfer across roles and models, with varying generalization capabilities affecting deployment strategies. Generated by https://pulse-3k2.pages.dev/news/fd7038a829b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/52dbe6daf57f 2026-07-02 monthly 0.7 https://external-preview.redd.it/5bnHpb9X-DikeZUKtcX5Ei84v15FqK4KITICc7ZOSrI.png?width=640&crop=smart&auto=webp&s=8816dcceb3bfdf78e1ae8de84f7d2d00b172729a README_EN.md · openpangu/openPangu-2.0-Flash at main 1. Introduction openPangu-2.0-Flash is an MoE model trained on Ascend. The model has 92B total parameters and 6B activated parameters. Its context length is 512k. The total pretraining data contains 3 https://pulse-3k2.pages.dev/news/e14b325658e7 2026-07-02 monthly 0.7 https://www.vice.com/wp-content/uploads/sites/2/2019/08/1565048739851-image3.png The Internet I Grew Up with Doesn't Exist Anymore Article URL: https://cleberg.net/blog/internet.html Comments URL: https://news.ycombinator.com/item?id=48744655 Points: 214 # Comments: 207 https://pulse-3k2.pages.dev/news/ba219e9f88a8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ea9bf256cc6c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cf59d69e4455 2026-07-02 monthly 0.7 https://asahilinux.org/img/AsahiLinux_logomark_256px.png Asahi Linux 7.1 Progress Report Article URL: https://asahilinux.org/2026/06/progress-report-7-1/ Comments URL: https://news.ycombinator.com/item?id=48744518 Points: 229 # Comments: 47 https://pulse-3k2.pages.dev/news/1dc65d2f9283 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5e039045019e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/27d2f7a7b056 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.08671/gradient.png SkillHone: A Harness for Continual Agent Skill Evolution Through Persistent Decision History Abstract SkillHone enables continuous evolution of agent skills by maintaining persistent decision histories and incorporating practice feedback for improved performance across research and tool-media https://pulse-3k2.pages.dev/news/bbcb12ed7a0c 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Cc-z!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F1e9690ca-bd6f-4f8c-8ee1-8a1f1ecd76a2_2409x1314.png Single Dose of Frog-Derived Gut Bacterium Eradicates 100% of Tumors in Mice Article URL: https://www.thefocalpoints.com/p/new-study-frog-derived-gut-bacterium Comments URL: https://news.ycombinator.com/item?id=48744232 Points: 268 # Comments: 149 https://pulse-3k2.pages.dev/news/58a1644d6922 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31537/gradient.png DataEvolver: Self-Evolving Multi-Agent Data Construction for Text-Rich Image Generation Abstract DataEvolver is a self-evolving multi-agent framework that improves text-rich image generation by leveraging feedback from rejected samples to iteratively enhance data quality. Generated by Qw https://pulse-3k2.pages.dev/news/666b0958ebc0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31811/gradient.png MuSViT: A Foundation Vision Model for Sheet Music Representation Abstract MuSViT is a vision transformer-based foundation model pre-trained on millions of sheet music pages that demonstrates superior performance in music score recognition and symbol detection tasks https://pulse-3k2.pages.dev/news/542958d7450d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29513/gradient.png Scenes as Objects, Not Primitives: Instance-Structured 3D Tokenization from Unposed Views Abstract A feed-forward framework decomposes 3D scenes into instance-structured token groups from multi-view images, enabling direct object-level reconstruction, segmentation, and manipulation without https://pulse-3k2.pages.dev/news/9994f937ec4f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26968/gradient.png RedVox: Safety and Fairness Gaps in Speech Models Across Languages Abstract Multilingual safety and fairness benchmark for speech models reveals persistent vulnerabilities across languages and naturalistic conditions. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Spee https://pulse-3k2.pages.dev/news/33230de95aff 2026-07-02 monthly 0.7 https://preview.redd.it/c5bu5ykwukah1.jpg?width=140&height=95&auto=webp&s=f80610f0fcf6c18d2747c20c979c79fbae55b225 I built a desktop AI that scrubs your PII locally before it hits the cloud — here's every feature with real screenshots Been building this for a few months. It's called Primnox. The core thing: before ANY message leaves your machine, a local DeBERTa NER model runs on-device, finds names/emails/addresses/phone numbers, https://pulse-3k2.pages.dev/news/55e1103d4e5c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31410/gradient.png Xiaomi-GUI-0 Technical Report Abstract A native multimodal GUI agent trained in real-device environments demonstrates superior performance and stability compared to traditional benchmark-based approaches. Generated by Qwen/Qwen2.5 https://pulse-3k2.pages.dev/news/a7e1f5f092a8 2026-07-02 monthly 0.7 https://cdn.mos.cms.futurecdn.net/9fe6i3bvMxcRA6sb2TJAS-1600-80.jpg Godot will no longer accept AI-authored code contributions Article URL: https://www.pcgamer.com/gaming-industry/open-source-game-engine-godot-will-no-longer-accept-ai-authored-code-contributions-we-cant-trust-heavy-users-of-ai-to-understand-their-code-enough- https://pulse-3k2.pages.dev/news/dd1d6a3251c5 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/2FDupdwUm6yx3W2UQQ17IP/1c4494a26e9304bfbe459b7fb89dd626/image.png Claude Fable 5 access restored on AI Gateway Access to Claude Fable 5, the Mythos-class model, has now been restored on AI Gateway following the US Government's decision to lift the export controls. Fable 5 is the same model that was available b https://pulse-3k2.pages.dev/news/f98172985b13 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.32039/gradient.png GEAR: Guided End-to-End AutoRegression for Image Synthesis Abstract GEAR trains a vector-quantized tokenizer and autoregressive generator jointly end-to-end using representation alignment, overcoming non-differentiability issues through a dual read-out approa https://pulse-3k2.pages.dev/news/8277f28be8b2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a33d8a23f1d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30062/gradient.png Little Brains, Big Feats: Exploring Compact Language Models Abstract Small language models can effectively perform retrieval-augmented generation tasks directly on-device without GPU acceleration. Generated by Qwen/Qwen2.5-Coder-32B-Instruct While large langua https://pulse-3k2.pages.dev/news/2d92fc8ca4d8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29215/gradient.png Multi-Block Diffusion Language Models Abstract Multi-Block Diffusion Language Models extend single-block diffusion to concurrent block decoding with improved training strategies and optimized decoding algorithms. Generated by Qwen/Qwen2.5 https://pulse-3k2.pages.dev/news/8b52f0bf852a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1e755b308086 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.32032/gradient.png Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs Abstract Reinforcement learning with metacognitive feedback and metacognitive data selection improve large language model calibration by enabling accurate self-assessment of performance and uncertaint https://pulse-3k2.pages.dev/news/7041a9af9c91 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e5da3a924cfc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/42e687d6e7fe 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31029/gradient.png TerraDiT-Ω: Unified Spatial Control for Satellite Image Synthesis with Any Geospatial Primitive Abstract TerraDiT-Ω generates satellite imagery from native geospatial primitives using Geometry-Aware Local Attention, enabling flexible conditioning and improved downstream geospatial tasks. Generat https://pulse-3k2.pages.dev/news/49d83537b1ab 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!i4cw!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fee341b9f-8fd3-47e5-87db-9b3d0fc72de5_1280x720.jpeg AIEWF Daily Dispatch: Loops, Software Factories & Forward Deployed Engineers On Tuesday at the AI Engineer World's Fair, there was a lot of talk about loops, agent engineering, and the emergence of software factories. Also a hot topic: open models. https://pulse-3k2.pages.dev/news/1223a0ccafba 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30968/gradient.png PhotoQuilt: Training-Free Arbitrary-Resolution Photomosaics via Bootstrapped Tiled Denoising Abstract PhotoQuilt is a training-free framework that generates high-resolution photomosaics by combining global layout composition with separate tile generation in latent space, overcoming limitation https://pulse-3k2.pages.dev/news/ab6742443098 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization arXiv:2606.30699v1 Announce Type: new Abstract: Discovering governing equations directly from observational data is a key step towards interpretable scientific machine learning. Current data-driven ap https://pulse-3k2.pages.dev/news/04f7d58db7be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification arXiv:2606.30702v1 Announce Type: new Abstract: Structured tabular data dominates clinical medicine, yet existing benchmarks fail to reflect real-world properties like complex survey sampling, demogra https://pulse-3k2.pages.dev/news/c0b2d7fa12df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Search to Synthesis: Training LLMs as Zero-Shot Workflow Generators arXiv:2606.30704v1 Announce Type: cross Abstract: Large language models (LLMs) excel across a wide range of tasks, yet their instance-specific solutions often lack the structural consistency needed fo https://pulse-3k2.pages.dev/news/4bddd0018aa3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Do Few-Step Text Latents Fail When Image Latents Work? Non-Commitment at Sharp Categorical Readouts arXiv:2606.30705v1 Announce Type: new Abstract: Deterministic few-step generation succeeds on continuous image latents but collapses to incoherent text on continuous text latents, and we show the caus https://pulse-3k2.pages.dev/news/cc36a6357ad0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hierarchical Global Attention (HGA) arXiv:2606.30709v1 Announce Type: new Abstract: Hierarchical Global Attention (HGA) is a drop-in replacement for dense causal attention in pretrained long-context transformers. HGA preserves the origi https://pulse-3k2.pages.dev/news/fad29189d777 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReactionAtlas: Ab origine exploration of chemical reaction networks with machine learning arXiv:2606.30778v1 Announce Type: new Abstract: Mapping a chemical reaction network, the graph of minima and transition states (TS) and the elementary reactions connecting them, is the natural languag https://pulse-3k2.pages.dev/news/b5eeb2a48751 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revocable Learned State via Process Sidecars arXiv:2606.30788v1 Announce Type: cross Abstract: Language models are often adapted in stages: a public skill phase, a private memory phase, and a later safety phase that learns to refuse outputs tied https://pulse-3k2.pages.dev/news/fad5bc505cb7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Predictable GRPO: A Closed-Form Model of Training Dynamics arXiv:2606.30789v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) has become a standard tool for improving the reasoning ability of large language models, yet its training dyna https://pulse-3k2.pages.dev/news/7991fbfe11a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization arXiv:2606.30813v1 Announce Type: new Abstract: Deep neural networks with repeated architectural blocks, such as transformers, often exhibit structured relationships across layers that emerge during t https://pulse-3k2.pages.dev/news/2485a1331410 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mind the Residual Gap: Probabilistic Downscaling under Real-World Bias arXiv:2606.30821v1 Announce Type: new Abstract: Probabilistic downscaling is the task of modeling the conditional distribution of high-resolution fields given coarse inputs, and is a central challenge https://pulse-3k2.pages.dev/news/42806b6fed26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Partition-Guided Distance Saliency: Bridging Decision and Objective Spaces in Many-Objective Optimization arXiv:2606.30836v1 Announce Type: new Abstract: Explainability in Many-Objective Optimization (MaO) is currently hindered by the escalating complexity of the Pareto front, which renders the relationsh https://pulse-3k2.pages.dev/news/c046a1a4ce6e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Stationary-Distribution Theory for Triplet-Based Plateau Search in Random Forest Ensemble-Size Selection arXiv:2606.30837v1 Announce Type: new Abstract: The number of trees is a central computational parameter in Random Forests: increasing it reduces finite-ensemble variability but increases training and https://pulse-3k2.pages.dev/news/04a09935128c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Transferable Learned Temporal Prior for Transmission Reconstruction and Decision-Relevant Uncertainty in Real Outbreak Labels arXiv:2606.30842v1 Announce Type: new Abstract: Outbreak transmission reconstruction treats epidemiological timing and transmission labels as deterministic ground truth; neither has been systematicall https://pulse-3k2.pages.dev/news/91f1b553df2d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Behavior Cloning is Not All You Need: The Optimality of On-Policy Distillation for Noisy Expert Feedback arXiv:2606.30923v1 Announce Type: new Abstract: Imitation Learning is a natural framework for learning in sequential decision-making systems and has emerged as the dominant paradigm through which we u https://pulse-3k2.pages.dev/news/650273e14a11 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace arXiv:2606.30932v1 Announce Type: new Abstract: Two-sided marketplaces connect distinct user groups whose interests often conflict -- improving outcomes on one side could degrade the other side's expe https://pulse-3k2.pages.dev/news/7b472c80bc06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quality-Aware Modulation for Diffusion Transformers arXiv:2606.30934v1 Announce Type: new Abstract: Modern text-to-image diffusion models, such as diffusion transformers (DiT), rely on timestep or prompt embeddings to modulate the strength of the denoi https://pulse-3k2.pages.dev/news/388527347f56 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-informed Conditional Normalizing Flows for Angles-only Cislunar Orbit Determination arXiv:2606.30936v1 Announce Type: new Abstract: Generative Astrodynamics is advanced in this work by extending generative modelling to an orbit determination problem in the cislunar environment. The t https://pulse-3k2.pages.dev/news/f59533f2dedb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again arXiv:2606.30995v1 Announce Type: new Abstract: Recent work has shown that well-optimized individual decision trees can match complex black box models in some settings, primarily in noisy domains. For https://pulse-3k2.pages.dev/news/90f67f384095 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Estimating Supply Incrementality in Two-sided Marketplaces: A Causal Machine Learning Approach arXiv:2606.30999v1 Announce Type: new Abstract: In two-sided marketplaces with heterogeneous products, it is important to understand the causal relationship between additional supply and marketplace o https://pulse-3k2.pages.dev/news/26ca223569f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction arXiv:2606.31025v1 Announce Type: new Abstract: Active flow control is a fundamental application in engineering. Recent advances in deep reinforcement learning have made progress in this field. Howeve https://pulse-3k2.pages.dev/news/4f05b082949c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OTCache: Optimal Transport for Geometry-Aware Caching in Diffusion Models arXiv:2606.31026v1 Announce Type: new Abstract: We propose OTCache, a training-free framework for accelerating diffusion sampling via caching schedule prediction. Existing graph-based caching methods https://pulse-3k2.pages.dev/news/b157222b8dad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care arXiv:2606.31036v1 Announce Type: new Abstract: Specialist epilepsy expertise is scarce in resource-constrained settings, making LLM-based decision support attractive for frontline clinicians managing https://pulse-3k2.pages.dev/news/a2238ff4d564 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation arXiv:2606.31043v1 Announce Type: new Abstract: Residual reinforcement learning adapts a pretrained robot policy by learning an additive correction to its actions. While effective when adaptation amou https://pulse-3k2.pages.dev/news/b660b19b0ee3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Knowledge Distillation from Large Reasoning Models to Compact Student Models: A Case Study on the John O Bryan Mathematics Competition arXiv:2606.31048v1 Announce Type: new Abstract: This paper investigates knowledge distillation from a large reasoning model (DeepSeek-R1) to a compact student model (Qwen2.5-7B). Using historical prob https://pulse-3k2.pages.dev/news/8d8f34b29845 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fora: From Weight-Space to Function-Space Protection in Capability-Preserving Fine-Tuning arXiv:2606.31092v1 Announce Type: new Abstract: Full fine-tuning adapts large language models to new tasks but can erode capabilities they already possess. Existing remedies protect through proxies su https://pulse-3k2.pages.dev/news/bdd6364a9970 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Explaining Machine Learning and Memorization with Statistical Mechanics arXiv:2606.31110v1 Announce Type: new Abstract: Artificial neural networks (NNs) and machine learning (ML) algorithms are poorly understood from a theoretical perspective, which makes it difficult to https://pulse-3k2.pages.dev/news/d25d1297c03e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Visualizing High-Dimensional Graph Embeddings via Informed Multi-View Projections arXiv:2606.31119v1 Announce Type: new Abstract: Graphs are commonly visualized in 2D, where humans readily interpret spatial relationships, yet such layouts often distort higher-dimensional structure. https://pulse-3k2.pages.dev/news/202a35413ec0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Tabular In-Context Learners Generalize to Biomolecular Property Prediction? arXiv:2606.31126v1 Announce Type: new Abstract: Predicting biomolecular properties from limited labeled data is a central bottleneck in protein engineering and small-molecule design. As strong pretrai https://pulse-3k2.pages.dev/news/e944ea43c635 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Bayesian Filtering Approach for Learning Lagrangian Dynamics from Noisy Measurements arXiv:2606.31137v1 Announce Type: new Abstract: This paper proposes a Bayesian filtering-based approach for learning the dynamics of a physical system from partial, noisy measurements. We model the sy https://pulse-3k2.pages.dev/news/6bf8cf78b52b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PPT-Eval: A Benchmark for Computer-Use Agents on PowerPoint Tasks arXiv:2606.31154v1 Announce Type: new Abstract: Creating and editing slides is a rich, multimodal activity that is ubiquitous in professional and educational settings, making it an ideal testbed for r https://pulse-3k2.pages.dev/news/c18ee74c81d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries arXiv:2606.31163v1 Announce Type: cross Abstract: Large language models deployed in regulated industries operate under two constraints: compliance enforcement and cost efficiency. Personally identifia https://pulse-3k2.pages.dev/news/7e2a19854db5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AETDICE: Unified Framework and Offline Optimization for Nonlinear Multi-Objective RL arXiv:2606.31178v1 Announce Type: new Abstract: Optimizing nonlinear preferences in multi-objective reinforcement learning (MORL) is essential for capturing complex trade-offs like risk aversion or fa https://pulse-3k2.pages.dev/news/8a25e5a95e60 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation arXiv:2606.31184v1 Announce Type: new Abstract: Adaptive experiments for average treatment effects (ATE) require randomized allocations balancing valid inference with statistical efficiency. The oracl https://pulse-3k2.pages.dev/news/e8244aae0aa9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ISM:Self-Improving Strategy Memory for Continual Mathematical Reasoning arXiv:2606.31191v1 Announce Type: new Abstract: We propose Intelligent Schema Memory (ISM), a self-evolving memory-augmented system that improves mathematical reasoning for a frozen LLM under continua https://pulse-3k2.pages.dev/news/f73d0f86f4f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probing Memorization of Tabular In-Context Learning arXiv:2606.31208v1 Announce Type: new Abstract: Large tabular models (LTMs), i.e., tabular foundation models leveraging in-context learning (ICL), achieve state-of-the-art performance on tabular tasks https://pulse-3k2.pages.dev/news/cb3a0dd6b2f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing arXiv:2606.31230v1 Announce Type: new Abstract: We study the task of learning the structure of a $d$-sparse Gaussian graphical model on $n$ variables from a single trajectory of Glauber dynamics. Beyo https://pulse-3k2.pages.dev/news/77ead694a06f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TDGT: A Tabular Data Generation Toolkit supporting adaptive GPU-accelerated Bayesian mixture models, diffusion-based models, and latent-space generative modeling arXiv:2606.31268v1 Announce Type: new Abstract: The growing demand for privacy-preserving data sharing has positioned synthetic data generation as a critical component of responsible AI workflows. Des https://pulse-3k2.pages.dev/news/c198a39f868a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Calibration Turn in AI-Assisted Research: A Conceptual and Methodological Framework for Evidence-Licensed Claims arXiv:2606.31273v1 Announce Type: new Abstract: AI-assisted research has entered a stage in which the central question is not only whether systems can generate hypotheses, run experiments, or produce https://pulse-3k2.pages.dev/news/b35958ff3ac4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revisiting the Volume Hypothesis arXiv:2606.31282v1 Announce Type: new Abstract: Modern deep neural networks often contain far more parameters than needed to fit their training data, yet they achieve impressive generalization. A comm https://pulse-3k2.pages.dev/news/43e053c02566 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sequential sparse Gaussian process quantile regression arXiv:2606.31284v1 Announce Type: new Abstract: Quantile regression aims to estimate the conditional quantiles of a response variable from observed data. In a Bayesian setting, Gaussian process quanti https://pulse-3k2.pages.dev/news/fe3cd62948f1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probabilistic Inversion with Flow Matching arXiv:2606.31288v1 Announce Type: new Abstract: We demonstrate the application of Flow Matching, a technique originating from generative Artificial Intelligence, to probabilistic inversion in geophysi https://pulse-3k2.pages.dev/news/188267369300 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Patch-PODiff-ViT: Structured Latent Diffusion with Patchwise POD for Super-Resolution and Uncertainty Quantification arXiv:2606.31290v1 Announce Type: new Abstract: Diffusion models enable probabilistic super-resolution and conditional generation, but pixel-space methods are computationally expensive and learned lat https://pulse-3k2.pages.dev/news/7e5cf38267f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry arXiv:2606.31291v1 Announce Type: new Abstract: Deep reinforcement learning has the potential to solve attitude control problems more adaptively, precisely, and robustly by handling nonlinear dynamics https://pulse-3k2.pages.dev/news/8e4eb7e05067 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Safe Online Learning via Smooth Safety-Structured Policy Composition arXiv:2606.31320v1 Announce Type: new Abstract: Safe online reinforcement learning requires policies to respect safety constraints while maintaining smooth optimization dynamics. Existing approaches t https://pulse-3k2.pages.dev/news/31d091083b02 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Expected Gain-based Escalation in Vertical Federated Learning arXiv:2606.31331v1 Announce Type: new Abstract: Collaborative inference can improve predictive performance by integrating complementary information across agents, but applying collaborative fusion to https://pulse-3k2.pages.dev/news/deb1427045a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dualformer: Efficient Feature Extractor for Complex-valued Blind Communication Signal Analysis arXiv:2606.31352v1 Announce Type: new Abstract: Designing effective feature extractors is critical for blind signal analysis tasks such as automatic modulation recognition (AMR), signal scheme recogni https://pulse-3k2.pages.dev/news/59528c7d93d8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Calibrating the Evaluator: Does Probability Calibration Mitigate Preference Coupling in LLM Agent Feedback Loops? arXiv:2606.31371v1 Announce Type: cross Abstract: When large language model (LLM) agents adapt their behavior through evaluator feedback, systematic evaluator biases propagate into the agent's learned https://pulse-3k2.pages.dev/news/eab832a51a55 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images arXiv:2606.31394v1 Announce Type: new Abstract: Artificial intelligence is transforming our capability to solve biological challenges. In dimensionality bottleneck regimes exacerbated by high-dimensio https://pulse-3k2.pages.dev/news/24701f5ef4b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mixture-of-Control: State-Aware Fine-Tuning for Transformer-based Models arXiv:2606.31397v1 Announce Type: new Abstract: State-based fine-tuning has emerged as a compelling alternative to weight-based adaptation for transformers, updating lightweight controls into states r https://pulse-3k2.pages.dev/news/23fdb5ce65bf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Contextual Slate GLM Bandits with Limited Adaptivity arXiv:2606.31449v1 Announce Type: new Abstract: We investigate the contextual slate bandit problem with generalized linear rewards under limited adaptivity. At each round, the learner is presented wit https://pulse-3k2.pages.dev/news/738eb3f8cb9d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-Shot Quantization for Object Detectors using Off-the-Shelf Generative Models arXiv:2606.31456v1 Announce Type: new Abstract: With an increasing number of Object Detection (OD) models being deployed on edge devices, Zero-Shot Quantization for OD (ZSQ-OD) aims to quantize these https://pulse-3k2.pages.dev/news/985ab9e7dcfa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TabPATE: Differentially Private Tabular In-Context Learning Without Public Data arXiv:2606.31474v1 Announce Type: new Abstract: Tabular foundation models enable accurate in-context learning (ICL) from small labeled datasets, but the private records placed in context can leak thro https://pulse-3k2.pages.dev/news/f38e9f1d5d88 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Online Convex Optimization without Slater's Condition arXiv:2606.31480v1 Announce Type: new Abstract: We study constrained online convex optimization with adversarial losses and stochastic or adversarial constraints. For stochastic constraints, existing https://pulse-3k2.pages.dev/news/2386223abc8a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fork-Think with Confidence arXiv:2606.31484v1 Announce Type: cross Abstract: Parallel thinking has enjoyed great success for boosting LLM performance on reasoning tasks without the need for any re-training. However, existing me https://pulse-3k2.pages.dev/news/e545cad83c86 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RaBitQCache: Rotated Binary Quantization for KVCache in Long Context LLM Inference arXiv:2606.31519v1 Announce Type: cross Abstract: Long-context Large Language Model inference is severely bottlenecked by the massive Key-Value (KV) cache, yet existing sparse attention methods often https://pulse-3k2.pages.dev/news/8493a4466e8e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Convergence of Self-Improving Online LLM Alignment arXiv:2606.31524v1 Announce Type: new Abstract: The Self-Improving Alignment (SAIL) algorithm addresses distribution shift by reducing a bilevel formulation of the problem to an efficient, single-leve https://pulse-3k2.pages.dev/news/76022266411c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond the Expressivity-Trainability Paradox: A Dynamical Lie Algebra Perspective on Navigating Barren Plateaus in Quantum Machine Learning arXiv:2606.31536v1 Announce Type: new Abstract: As Quantum Machine Learning (QML) transitions toward practical implementation, the field faces a critical architectural bottleneck that challenges the f https://pulse-3k2.pages.dev/news/55c6c647f1b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective arXiv:2606.31576v1 Announce Type: new Abstract: The use of ordinary and stochastic differential equations has led to substantial progress in generative machine learning with applications to, for examp https://pulse-3k2.pages.dev/news/0534a23a05be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Robustness of neural networks to random noise perturbations of their inputs arXiv:2606.31581v1 Announce Type: new Abstract: We investigate the problem of the robustness of a trained neural network to the perturbation of its input values. More specifically, we examine the inte https://pulse-3k2.pages.dev/news/5c530f3045ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evil Spectra: How Optimisers can Amplify or Suppress Emergent Misalignment arXiv:2606.31591v1 Announce Type: new Abstract: Emergent misalignment (EM) is a recently discovered phenomenon in LLMs where fine-tuning on a narrow misaligned task, such as writing insecure code, lea https://pulse-3k2.pages.dev/news/5e29e1d01420 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Calibration, Not Compilation: Detecting and Repairing Misspecified Probabilistic Programs Written by Language Models arXiv:2606.31630v1 Announce Type: new Abstract: Language models increasingly write probabilistic programs (in NumPyro, Stan, or Pyro), but a program that compiles, runs, and passes every unit test can https://pulse-3k2.pages.dev/news/d5b901e8a867 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ECHO: Prune to act, trace to learn with selective turn memory in agentic RL arXiv:2606.31650v1 Announce Type: new Abstract: Long-horizon language agents must repeatedly interact with tools, accumulate evidence, and make decisions under bounded context windows. Existing contex https://pulse-3k2.pages.dev/news/9c41041719e1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving Certified Robustness via Adversarial Distillation arXiv:2606.31653v1 Announce Type: new Abstract: Certified training aims to produce models whose predictions can be formally verified against adversarial perturbations, typically by optimising upper bo https://pulse-3k2.pages.dev/news/05504d2d924b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When to Truncate a Feature Ranking: A Residual-Overlap Stopping Rule for Subset Selection arXiv:2606.31686v1 Announce Type: new Abstract: Feature rankings are widely used in supervised feature selection because they are simple, scalable and easy to interpret. Variables are first ranked by https://pulse-3k2.pages.dev/news/8a3d9e9febce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffusing Blame: Task-Dependent Credit Assignment in Biologically Plausible Dual-Stream Networks arXiv:2606.31700v1 Announce Type: new Abstract: Biological neural circuits obey Dale's principle: each neuron's synapses are uniformly excitatory or inhibitory. Artificial networks that respect this c https://pulse-3k2.pages.dev/news/8eb6fed4ec5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Nonlinearity-Aware LoRA: Structured Gate Adaptation under Low-Rank Constraints arXiv:2606.31717v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) is commonly viewed as an update-space approximation to full fine-tuning, yet this view is incomplete for self-gated Transform https://pulse-3k2.pages.dev/news/39acd9d004b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning arXiv:2606.31742v1 Announce Type: new Abstract: Explainable AI (XAI) methods have demonstrated significant success in recent years at identifying relevant features in input data that drive deep learni https://pulse-3k2.pages.dev/news/ba610b6b26bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Addressing Over-Refusal in LLMs with Competing Rewards arXiv:2606.31748v1 Announce Type: new Abstract: Safety training on language models often induces over-refusal: improved safety on harmful prompts at the cost of increased refusal on harmless ones. Tho https://pulse-3k2.pages.dev/news/d26fe7bd2fda 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Policy Optimization Achieves Data-Dependent Regret Bounds in MDPs with Unknown Transitions arXiv:2606.31769v1 Announce Type: new Abstract: We study policy optimization for online episodic tabular Markov decision processes with unknown transition kernels, aiming for best-of-both-worlds guara https://pulse-3k2.pages.dev/news/1b1396c8fa8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers arXiv:2606.31779v1 Announce Type: cross Abstract: Language models typically reason via explicit chain-of-thought (CoT), generating intermediate steps token-by-token. Latent CoT offers an alternative: https://pulse-3k2.pages.dev/news/57a93918d8f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models arXiv:2606.31804v1 Announce Type: new Abstract: Accurate energy demand forecasting is essential for the reliable operation and planning of modern sustainable energy systems. Spatial-temporal graph neu https://pulse-3k2.pages.dev/news/289b6e2bf3d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geometry-Preserving Orthonormal Initialization for Low-Rank Adaptation in RLVR arXiv:2606.31813v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) and its variants enable parameter-efficient fine-tuning of large language models under the supervised fine-tuning (SFT) parad https://pulse-3k2.pages.dev/news/bb2072a5045e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-dimensional topology of deep neural networks arXiv:2606.31856v1 Announce Type: new Abstract: We study layered models, including feedforward networks, ResNets, and transformers, by limiting each layer to a width of $d = 3$, i.e., $\mathbb{R}^3$ a https://pulse-3k2.pages.dev/news/5b3b37138a13 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Review Residuals: Update-Conditioned Residual Gating for Transformers arXiv:2606.31859v1 Announce Type: cross Abstract: Residual connections add every sublayer's proposed update with a fixed coefficient of one; the network never evaluates whether an update is reliable b https://pulse-3k2.pages.dev/news/6a282ea4353b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sequential RC-TGAN: Generating Relational Time Series with Spectral Envelope Loss arXiv:2606.31904v1 Announce Type: new Abstract: The generation of synthetic relational databases often involves modeling complex temporal dynamics, such as transaction logs or event sequences. A signi https://pulse-3k2.pages.dev/news/a7f19d9c1dfc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interface-Aware Neural Newton Preconditioning for Robust Cohesive Zone Model Simulations arXiv:2606.31921v1 Announce Type: new Abstract: Cohesive Zone Models (CZMs) are widely used to simulate interface fracture, delamination, adhesive failure, and fiber--matrix debonding in aerospace com https://pulse-3k2.pages.dev/news/3285d45b547d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Making Sense of Touch from the Child's View for Contrastive Learning arXiv:2606.31943v1 Announce Type: new Abstract: Is the sense of touch a mechanism for human babies' learning of visual concepts? If so, can we quantify its importance, and to what extent do babies rel https://pulse-3k2.pages.dev/news/d04bfb92b88b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Signed-Permutation Coordinate Transport for RMSNorm Transformers arXiv:2606.31963v1 Announce Type: cross Abstract: Modern LLM workflows move coordinate-indexed objects across checkpoints: steering vectors, sparse autoencoders, top-$k$ neuron sets, attribution lists https://pulse-3k2.pages.dev/news/819191df2cd5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Amplifying Membership Signal Through Chained Regeneration arXiv:2606.31991v1 Announce Type: new Abstract: The tendency of large generative models to memorize training data makes sample verification critical for privacy auditing and copyright enforcement. Cur https://pulse-3k2.pages.dev/news/24f5b8f187a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Radial Suppression Accelerates Algorithmic Generalization: A Geometric Analysis of Delayed Generalization arXiv:2606.32000v1 Announce Type: new Abstract: Why do neural networks memorize algorithmic training data long before they generalize? We present a geometric case study demonstrating that, on tasks wh https://pulse-3k2.pages.dev/news/09f2bc208c60 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Surrogate Fidelity: When Can Open LLMs Explain Closed Ones? arXiv:2606.32008v1 Announce Type: new Abstract: Mechanistic interpretability (MI) requires full access to model internals, yet the APIs for most widely deployed language models at best expose log-prob https://pulse-3k2.pages.dev/news/cde9a012de12 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation arXiv:2606.32012v1 Announce Type: new Abstract: Uncertainty estimation has been a long-standing challenge in AI models; it amounts to "knowing what you don't know," and metacognition is notoriously di https://pulse-3k2.pages.dev/news/78568fc7267b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning arXiv:2606.32016v1 Announce Type: new Abstract: Multimodal graph foundation models aim to learn reusable knowledge from graphs enriched with text, images, attributes, and relational topology, thereby https://pulse-3k2.pages.dev/news/437620913c04 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning arXiv:2606.32017v1 Announce Type: new Abstract: Agentic reinforcement learning requires assigning credit to environment-facing actions such as searches, clicks, edits, navigation commands, and object https://pulse-3k2.pages.dev/news/cebd8e489fec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SemRF: A Semantic Reference Frame for Residual-Stream Dynamics in Language Models arXiv:2606.32022v1 Announce Type: cross Abstract: Residual-stream analysis asks how language-model computation evolves across depth, but intermediate decoding requires comparable readout coordinates a https://pulse-3k2.pages.dev/news/1806c4903c91 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AdaJEPA: An Adaptive Latent World Model arXiv:2606.32026v1 Announce Type: new Abstract: Latent world models enable planning from high-dimensional observations by predicting future states in a compact latent space. However, these models are https://pulse-3k2.pages.dev/news/57a792055ef5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QVal: Cheaply Evaluating Dense Supervision Signals for Long-Horizon LLM Agents arXiv:2606.32034v1 Announce Type: cross Abstract: LLM agents increasingly act over long horizons, where a single trajectory can contain hundreds or thousands of actions. In these settings, outcome-onl https://pulse-3k2.pages.dev/news/eeb0affb8c18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seven-dimensional Trajectory Reconstruction for VAMOS++ arXiv:2503.18959v1 Announce Type: cross Abstract: The VAMOS++ magnetic spectrometer is characterized by a large angular and momentum acceptance and highly non-linear ion optics properties requiring th https://pulse-3k2.pages.dev/news/60bbd0e5279d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Analysis of Atomic Charge State and Atomic Number for VAMOS++ Magnetic Spectrometer using Deep Neural Networks and Fractionally Labelled Events arXiv:2507.07109v2 Announce Type: cross Abstract: The VAMOS++ magnetic spectrometer is a multi-parametric system that integrates ion optical magnetic elements with a multi-detector stack. The magnetic https://pulse-3k2.pages.dev/news/ae13a6bef675 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis arXiv:2606.30648v1 Announce Type: cross Abstract: Causal mediation analysis decomposes a treatment effect into indirect pathways through mediators and direct pathways not operating through them. Moder https://pulse-3k2.pages.dev/news/18ab8c5100ea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Physician Expertise Improve Machine Learning Identification of Delirium? arXiv:2606.30651v1 Announce Type: cross Abstract: Delirium is common in hospitalized patients and is often missed in routine care. We present a user-centered interactive machine learning (UC-iML) fram https://pulse-3k2.pages.dev/news/7bb7e208a95e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Estimating the Effect of Timing on Coupon Effectiveness arXiv:2606.30664v1 Announce Type: cross Abstract: The coupon incentive is one of the most common tools marketers use to court users to engage with a business at various stages of the customer life cyc https://pulse-3k2.pages.dev/news/1c81fc75f61b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Explainable Artificial Intelligence For The Detection and Characterisation of Stage B Heart Failure arXiv:2606.30665v1 Announce Type: cross Abstract: Stage B heart failure is characterized by asymptomatic structural or functional cardiac abnormalities. Identifying individuals at this stage is clinic https://pulse-3k2.pages.dev/news/e5ef82a55803 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detection arXiv:2606.30675v1 Announce Type: cross Abstract: Early detection of dementia through speech analysis offers a non-invasive screening alternative, but capturing both acoustic and linguistic biomarkers https://pulse-3k2.pages.dev/news/3fa6e3219a6a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Criticality-Constrained Iterative Pruning for Energy-Efficient Spiking Neural Networks via Combined Importance Scoring arXiv:2606.30676v1 Announce Type: cross Abstract: Deploying spiking neural networks (SNNs) on neuromorphic hardware demands aggressive synaptic pruning while preserving temporal computation integrity. https://pulse-3k2.pages.dev/news/c6dd0a5d952f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Locker-based Truck-Drone Routing with Integrated Considerations of Pickups, Deliveries, and No-Fly Zones arXiv:2606.30680v1 Announce Type: cross Abstract: Truck-drone delivery is an emerging last-mile logistics mode combining the long-haul capacity of trucks with the flexible service capability of drones https://pulse-3k2.pages.dev/news/56ffe6ac06fd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks arXiv:2606.30688v1 Announce Type: cross Abstract: Symmetry provides a quantum neural network structure, but on its own it does not keep the network trainable once noise is present. We ask which physic https://pulse-3k2.pages.dev/news/12e8faf951c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ViTL: Temporal Logic-Guided Zero-Shot Natural Language Navigation via Vision-Language Models arXiv:2606.30696v1 Announce Type: cross Abstract: Enabling robots to follow natural language commands to complete zero-shot long-horizon tasks remains challenging. It requires extracting implicit temp https://pulse-3k2.pages.dev/news/0e9b283666c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BEST-RQ-2: Contextualize-Then-Predict, a Two-Step Approach for Self-Supervised Audio Representations arXiv:2606.30700v1 Announce Type: cross Abstract: Self-supervised learning enables audio representations that transfer across domains and tasks. We present BEST-RQ-2, an evolution of BEST-RQ that reta https://pulse-3k2.pages.dev/news/69101fe667cf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffusion-warm sampling of the XY model enables fast thermalization at scale arXiv:2606.30773v1 Announce Type: cross Abstract: We introduce a novel technique for scalable sampling of spin-system states with continuous symmetries using diffusion models. By applying our approach https://pulse-3k2.pages.dev/news/8ef3f970c20e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization arXiv:2606.30775v1 Announce Type: new Abstract: Enterprise AI agents route user queries to specialized skills by matching queries against natural language skill descriptions. When two skills share ove https://pulse-3k2.pages.dev/news/0d9b7d9f97ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Indi-RomCoM: Code-Mixed Benchmark for Evaluating LLMs on Romanized Indic-English Instructions arXiv:2606.30790v1 Announce Type: new Abstract: Romanized Code Mixing (RCM), where bilingual speakers fluidly blend local languages with English in Roman script, has emerged as the dominant form of co https://pulse-3k2.pages.dev/news/54889a24d99b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Using AI Agents to Automate Black-Box Audits of Personalization Algorithms at Scale arXiv:2606.30801v1 Announce Type: new Abstract: Personalization algorithms determine what content users encounter on online platforms. Auditing these systems is difficult because independent auditors https://pulse-3k2.pages.dev/news/5e135004d9d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs arXiv:2606.30814v1 Announce Type: new Abstract: Calibration evaluates whether a model confidence aligns with its empirical accuracy. Existing studies often compare the calibration of different large l https://pulse-3k2.pages.dev/news/15c952bf1056 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When transformers learn "impossible" languages, what do they learn? arXiv:2606.30815v1 Announce Type: new Abstract: Recent work suggests that transformer language models show a bias towards human languages over unnatural ("impossible") languages argued to be unacquira https://pulse-3k2.pages.dev/news/a6ab6e546dd0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Test-Time Verification for Text-to-SQL via Outcome Reward Models arXiv:2606.30851v1 Announce Type: new Abstract: Improving the reliability of large language models (LLMs) at inference time is a central challenge in structured reasoning tasks such as Text-to-SQL. Co https://pulse-3k2.pages.dev/news/e8be6cc8fa4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning arXiv:2606.30857v1 Announce Type: new Abstract: This paper describes our submission to SemEval-2026 Task 9 on detecting multilingual, multicultural, and multievent online polarization. We address all https://pulse-3k2.pages.dev/news/51d805d5b22f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support arXiv:2606.30887v1 Announce Type: new Abstract: Large language models show promise for mental health support, yet therapeutic quality improves only when evaluation functions as an actionable control s https://pulse-3k2.pages.dev/news/bbbb4ad71487 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Clean Text: Evaluating Encoder and Decoder Robustness for Bangla Event Detection in Noisy Text arXiv:2606.30914v1 Announce Type: new Abstract: Event detection (ED) systems are typically evaluated on clean, curated text, leaving their robustness to real-world noise largely unexplored, particular https://pulse-3k2.pages.dev/news/e9623e813005 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bridging Scientific Heritage: An Arabic--Russian Parallel Corpus and LLM Benchmark for Sustainable Knowledge Transfer arXiv:2606.30943v1 Announce Type: new Abstract: Russian and Arabic are among the major languages of scientific communication. Language barriers impede the exchange of research results between these co https://pulse-3k2.pages.dev/news/f71d2e7a80dd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Linguistic Distancing on Social Media: Indicators of Emotion Regulation Across Age Groups arXiv:2606.30957v1 Announce Type: new Abstract: Managing our emotional responses to events is key to emotional well-being, a process referred to as emotion regulation in psychology. Previous work has https://pulse-3k2.pages.dev/news/354586cb18e7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Propositional to Perceptual Asymmetry: Extending Frictive Policy Optimization to Asymmetric Partial Information Dialogue arXiv:2606.30973v1 Announce Type: new Abstract: Frictive Policy Optimization (FPO; Pustejovsky et al., 2025) treats friction in collaborative dialogue -- misalignment, misunderstanding, repair -- as a https://pulse-3k2.pages.dev/news/63b20d414c1a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring Judgment Quality in Natural-Language Explanations: Evidence from Forecasting Tournaments arXiv:2606.30987v1 Announce Type: new Abstract: Decision-makers routinely rely on expert judgments accompanied by written explanations, yet explanation quality is difficult to measure at scale. Foreca https://pulse-3k2.pages.dev/news/ef2fbb23736c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG arXiv:2606.30989v1 Announce Type: new Abstract: Warning: This paper contains several toxic and offensive statements. While reasoning generally improves fairness in recent large language models (LLMs), https://pulse-3k2.pages.dev/news/d777321c6f6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CORTEX: Token-Level Hallucination Detection in RAG via Comparative Internal Representations arXiv:2606.31033v1 Announce Type: new Abstract: In this paper, we propose CORTEX, a token-level hallucination detection method for Retrieval-Augmented Generation (RAG). In long-form RAG outputs, hallu https://pulse-3k2.pages.dev/news/dd2d2528f0ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies arXiv:2606.31039v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit strong semantic capabilities, yet their resilience to manipulative linguistic patterns such as logical fallacies re https://pulse-3k2.pages.dev/news/4ed6bdd40198 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Semantic-Layer-Mediated Agent for Natural Language to SQL over Heterogeneous Enterprise Databases arXiv:2606.31041v1 Announce Type: new Abstract: Natural language-to-SQL (NL2SQL) over real-world enterprise databases remains significantly more challenging than on academic benchmarks. Enterprise sch https://pulse-3k2.pages.dev/news/6e640b844a53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reference-Based Prosody and Rhythm Evaluation for Spoken Dialogue Systems arXiv:2606.31055v1 Announce Type: new Abstract: Speech-to-speech (S2S) AI agents are advancing rapidly, yet evaluation lacks interpretable speech-native measures for conversational prosody and rhythm. https://pulse-3k2.pages.dev/news/4d36fa7ff746 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities arXiv:2606.31058v1 Announce Type: new Abstract: The composition of author teams is an important factor influencing the novelty of academic papers. However, existing studies have paid limited attention https://pulse-3k2.pages.dev/news/a40cf529565c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Building a Multimodal Dataset of Academic Paper for Keyword Extraction arXiv:2606.31069v1 Announce Type: new Abstract: Up to this point, keyword extraction task typically relies solely on textual data. Neglecting visual details and audio features from image and audio mod https://pulse-3k2.pages.dev/news/7f531c6be470 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks arXiv:2606.31074v1 Announce Type: new Abstract: Existing AI-generated text detectors are vulnerable to attacks that manipulate textual characteristics. In this study, we propose a novel Triospect Dete https://pulse-3k2.pages.dev/news/fc31373ffcc3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Reranking Hurts: Uncertainty-Based Gating for Few-Shot Reranking arXiv:2606.31087v1 Announce Type: new Abstract: Few-shot selection typically assumes that reranking retrieved examples always improves performance. We challenge this view by identifying that the expen https://pulse-3k2.pages.dev/news/a8f47e6f5e96 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Counts as an Error? Dual-Reference Benchmarking for Atypical ASR arXiv:2606.31112v1 Announce Type: new Abstract: ASR systems have been often reported to underperform on atypical speech. An often conflated compounding factor is the existence of two valid transcripti https://pulse-3k2.pages.dev/news/e5911f91aedf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SeKV: Resolution-Adaptive KV Cache with Hierarchical Semantic Memory for Long-Context LLM Inference arXiv:2606.31145v1 Announce Type: new Abstract: Large language models increasingly operate over long contexts, where the KV cache becomes a dominant memory bottleneck: its size grows linearly with seq https://pulse-3k2.pages.dev/news/5a3815616903 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TAG-DLM: Diffusion Language Models for Text-Attributed Graph Learning arXiv:2606.31166v1 Announce Type: new Abstract: Text-attributed graphs (TAGs), where each node carries a natural language description, require models to jointly reason over text and graph topology. Ex https://pulse-3k2.pages.dev/news/40e2316f4f68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection arXiv:2606.31186v1 Announce Type: new Abstract: Spontaneous speech is a vital non-invasive biomarker for Alzheimer's Disease (AD), yet many systems overlook non-linear structural disruptions and clini https://pulse-3k2.pages.dev/news/19e543f12981 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas? arXiv:2606.31213v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly deployed as moral advisors and agents, they need to address dilemmas between two competing values. Howe https://pulse-3k2.pages.dev/news/ac708e14e9a7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probing Stylistic Appropriation using Large Language Models: An Evaluation Framework for Copyright Infringement under EU Law arXiv:2606.31250v1 Announce Type: new Abstract: Large language models (LLM) trained on web-scale corpora generate output that may infringe copyright, yet existing technical safeguards focus narrowly o https://pulse-3k2.pages.dev/news/7c3cd95457a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When the Database Fails: Prompting LLM Dialogue Agents for Safe Recovery in Task-Oriented Dialogue arXiv:2606.31307v1 Announce Type: new Abstract: Large language models used in task-oriented dialogue often produce fluent but unsafe responses when backend database calls fail, return empty results, o https://pulse-3k2.pages.dev/news/89425bfd17db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LOPA: Enhancing Spoken Language Assessment via Latent Ordinal Prototype Alignment arXiv:2606.31310v1 Announce Type: new Abstract: Fueled by increasing model scale and multimodal inputs, Multimodal Large Language Models (MLLMs) have emerged as a promising paradigm for Spoken Languag https://pulse-3k2.pages.dev/news/3300f58e603a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding arXiv:2606.31315v1 Announce Type: new Abstract: Speculative decoding accelerates inference by using a lightweight draft model to generate candidate tokens in parallel, and are then verified by the tar https://pulse-3k2.pages.dev/news/b7a24485d004 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Linguistic Bias Mitigation for Spoofing Detection via Gradient Reversal and A Variational Information Bottleneck arXiv:2606.31411v1 Announce Type: new Abstract: Rapid advancements in generative speech technology have compromised the reliability of voice biometrics. While current spoofing detectors excel when ass https://pulse-3k2.pages.dev/news/118ceee5622e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering arXiv:2606.31432v1 Announce Type: new Abstract: Medical multiple-choice question answering requires parameter-efficient adaptation across heterogeneous knowledge domains and reasoning operations. A me https://pulse-3k2.pages.dev/news/484b536d8499 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap arXiv:2606.31446v1 Announce Type: new Abstract: RVL-CDIP is a popular dataset for benchmarking document classifiers. However, the dataset contains ample amounts of label errors as well as non-trivial https://pulse-3k2.pages.dev/news/ec758fb30d41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics arXiv:2606.31464v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have motivated their adoption across a wide range of domains, including Artificial Intelligence (AI) for https://pulse-3k2.pages.dev/news/629ee3fe4144 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Building an ASR Solution for Training and Assessing Children's Reading arXiv:2606.31508v1 Announce Type: new Abstract: Automatic speech recognition for children's reading remains underdeveloped for most African languages, including Bambara, despite its potential value fo https://pulse-3k2.pages.dev/news/a1faca987fec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FinPersona-Bench: A Benchmark for Longitudinal Psychometric Stability of Autonomous Financial Agents arXiv:2606.31522v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous financial agents initialized with explicit behavioral mandates such as "preserve ca https://pulse-3k2.pages.dev/news/23280e596db8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AutoTrainess: Teaching Language Models to Improve Language Models Autonomously arXiv:2606.31551v1 Announce Type: new Abstract: Training language models (LMs) remains a highly human-intensive process, even as frontier language model agents become increasingly capable at software https://pulse-3k2.pages.dev/news/1af984fb1f5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings arXiv:2606.31602v1 Announce Type: new Abstract: This work presents Dual-Embedding Watermarking (DEW), a semantic watermarking scheme for large language models (LLMs) that leverages contextual and toke https://pulse-3k2.pages.dev/news/e539eae0eacc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning arXiv:2606.31608v1 Announce Type: new Abstract: Large Language Models (LLMs) achieve strong results on many medical benchmarks, but their clinical reasoning remains difficult to evaluate reliably. A c https://pulse-3k2.pages.dev/news/e930764f9ace 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tone-Conditioned Curriculum Learning for Low-Resource Bantu Speech Recognition arXiv:2606.31642v1 Announce Type: new Abstract: Southern Bantu languages are spoken by over 80 million people, yet current foundation ASR models still produce zero-shot WER above 100%, which limits pr https://pulse-3k2.pages.dev/news/86ce3ae93d53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Moral Safety in LLMs: Exposing Performative Compliance with Puzzled Cues arXiv:2606.31644v1 Announce Type: new Abstract: As large language models take on morally consequential roles in healthcare, legal, and hiring contexts, we need to examine whether their ethical behavio https://pulse-3k2.pages.dev/news/5c751d7686c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Overview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management arXiv:2606.31692v1 Announce Type: new Abstract: This paper presents an overview of the second edition of the TalentCLEF challenge, organized as a Lab at the Conference and Labs of the Evaluation Forum https://pulse-3k2.pages.dev/news/1dcec807f9ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian arXiv:2606.31718v1 Announce Type: new Abstract: Relation extraction (RE) for low-resource languages is typically constrained by the lack of annotated corpora. We investigate the feasibility of cross-l https://pulse-3k2.pages.dev/news/80b9688d1373 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seeing Is Not Sharing: Some Vision-Language Models Overestimate Common Ground in Asymmetric Dialogue arXiv:2606.31719v1 Announce Type: new Abstract: In collaborative dialogue, shared perception does not guarantee shared interpretation. Mutual understanding must be established through interaction. We https://pulse-3k2.pages.dev/news/0a66f9d4b0bc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adapting Foundation ASR Models to Dysarthric Speech: A Case Study arXiv:2606.31722v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems often perform poorly in dysarthric speech, limiting their usefulness to affected speakers in everyday communi https://pulse-3k2.pages.dev/news/c671c0a7d27b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png STEB: Style Text Embedding Benchmark arXiv:2606.31741v1 Announce Type: new Abstract: While semantic embeddings are rigorously evaluated on the Massive Text Embedding Benchmark, the evaluation of style embeddings remains fragmented, with https://pulse-3k2.pages.dev/news/fef74c12fbb9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield arXiv:2606.31796v1 Announce Type: new Abstract: We study three complementary techniques for training compute-efficient language models. (1) Selective supervision and per-token efficiency. Selective Gr https://pulse-3k2.pages.dev/news/b42aacaa8049 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors arXiv:2606.31845v1 Announce Type: new Abstract: A transformer's feed-forward (FFN) sublayer materializes the distinctions attention gathers, yet gives no account of what it computes. In a parameter-ne https://pulse-3k2.pages.dev/news/d77e66bb6de4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action arXiv:2606.31916v1 Announce Type: new Abstract: Theory of Mind (ToM) benchmarks for Large Language Models (LLMs) typically rely on passive question-answering formats, but the deployment of LLMs in inc https://pulse-3k2.pages.dev/news/ea2ac08dc760 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish arXiv:2606.31947v1 Announce Type: new Abstract: State-of-the-art speech datasets predominantly focus on widely spoken languages, often overlooking low-resource languages such as Luxembourgish, which r https://pulse-3k2.pages.dev/news/79b72a95ae79 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DigitalCoach: Communication and Grounding Gaps in Human and Agentic Computer Use Coaching arXiv:2606.31980v1 Announce Type: new Abstract: Agents are increasingly capable of automating software tasks, but can they teach humans how to use software themselves? We introduce DigitalCoach, a mul https://pulse-3k2.pages.dev/news/4829f9a97b15 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scalable Behaviour Cloning on Browser Using via Skill Distillation arXiv:2606.32014v1 Announce Type: new Abstract: Internet users collectively perform an enormous range of skilled work through web browsers, from software development and document editing to search, fo https://pulse-3k2.pages.dev/news/7c786805b79a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Skill Composition for LLM Agents arXiv:2606.32025v1 Announce Type: new Abstract: Recent LLM agents benefit from skills for solving complex tasks. Skills encapsulate modular packages of procedural knowledge and instructions for perfor https://pulse-3k2.pages.dev/news/cace8288132d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors arXiv:2606.32029v1 Announce Type: new Abstract: While large language models (LLMs) perform well on table tasks, they still make data referencing errors (DREs), i.e., incorrectly citing or omitting tab https://pulse-3k2.pages.dev/news/385883bc8f1f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs arXiv:2606.32032v1 Announce Type: new Abstract: Metacognition is a critical component of intelligence that describes the ability to monitor and regulate one's own cognitive processes. Yet LLMs exhibit https://pulse-3k2.pages.dev/news/9f955aae04e7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Introspective Coupling: Self-Explanation Training Tracks Behavioral Change Despite Fixed Supervision arXiv:2606.32038v1 Announce Type: new Abstract: When does training language models (LMs) to generate explanations of their predictions yield faithful introspection, rather than superficial imitation? https://pulse-3k2.pages.dev/news/ef1dcc4665b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASR-Agnostic Multimodal Spectrotemporal Modeling for Early Dementia Detection arXiv:2606.30646v1 Announce Type: cross Abstract: Speech recruits the same executive, attentional, and working memory processes underlying instrumental activities of daily living, or IADLs, providing https://pulse-3k2.pages.dev/news/3f82a9ec254f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Emergent Culture in Minimal LLM Systems arXiv:2606.30668v1 Announce Type: cross Abstract: What happens when LLM agents operate with no context outside a turn, minimal prompting, and simple tools? Inspired by swarm engineering, we give colle https://pulse-3k2.pages.dev/news/3bd31c998d38 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information Terra: A Narrative-Anchored Semantic-First Projection of Document Embeddings arXiv:2606.30824v1 Announce Type: cross Abstract: We introduce Information Terra, a narrative-anchored semantic-first projection that places a document corpus on an Earth-like globe whose poles are tw https://pulse-3k2.pages.dev/news/2f68785468a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Does Learning to Stop Help? A Cost-Aware Study of Early Exits in Reasoning Models arXiv:2606.30852v1 Announce Type: cross Abstract: Reasoning models spend different amounts of useful computation across instances, but it remains unclear when a learned stopping rule improves over sim https://pulse-3k2.pages.dev/news/ec27d50c3bb0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Compilation: Evaluating Faithful Natural-Language-to-Lean Statement Formalization arXiv:2606.31002v1 Announce Type: cross Abstract: Theorem-proving benchmarks evaluate proof search against fixed formal statements, but natural-language-to-Lean formalization must generate the formal https://pulse-3k2.pages.dev/news/ac33b3c86e76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs arXiv:2606.31054v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) are critically hampered by hallucination, generating content inconsistent with the provided image. In this pa https://pulse-3k2.pages.dev/news/892796e2a780 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021 arXiv:2606.31081v1 Announce Type: cross Abstract: The present study analyzed over 26,000 research articles published between 1991 and 2021 in twenty-one major LIS (Library and Information Science) jou https://pulse-3k2.pages.dev/news/fdd8d8300c97 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UniSAE: Unified Speech Attribute Editing on Speaker, Emotion and Low-Level Content via Discrete Phonetic Posteriorgram Modelling arXiv:2606.31128v1 Announce Type: cross Abstract: Speech editing aims to modify specific portions of an utterance while preserving the remaining speech. Existing approaches primarily focus on word-lev https://pulse-3k2.pages.dev/news/7909799cbc15 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PruneGround: Plug-and-play Spatial Pruning for 3D Visual Grounding arXiv:2606.31148v1 Announce Type: cross Abstract: 3D Visual Grounding (3DVG) aims to localize target objects in 3D scenes given natural language descriptions. Existing approaches typically perform rea https://pulse-3k2.pages.dev/news/f566d1a7ac57 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents arXiv:2606.31179v1 Announce Type: cross Abstract: As AI agents become increasingly capable of complex, long-horizon reasoning, rigorous and holistic evaluation is essential for measuring progress towa https://pulse-3k2.pages.dev/news/77fbbdc7ebd4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents arXiv:2606.31270v1 Announce Type: cross Abstract: Computer-use agents, which leverage multimodal large language models (MLLMs) to operate computers and complete tasks, have attracted significant atten https://pulse-3k2.pages.dev/news/b3511ffa9eb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Decomposition Is the Fingerprint: Per-Component Identity for Agent Skills arXiv:2606.31272v1 Announce Type: cross Abstract: AI agents increasingly acquire and execute skills at runtime: bundles of prompt instructions, executable code, and tool declarations fetched from mark https://pulse-3k2.pages.dev/news/93e9b3f8f398 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Visual Semantic Entropy: Do Vision Language Models Recognize Visual Ambiguity? arXiv:2606.31407v1 Announce Type: cross Abstract: Vision-language models can produce confident answers on visually ambiguous inputs, resulting in biased predictions. Common entropy-based methods, such https://pulse-3k2.pages.dev/news/13dd83975f03 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CDR-Bench: Evaluating Faithful Execution of Compositional, Order-Sensitive Data Refinement Recipes arXiv:2606.31435v1 Announce Type: cross Abstract: Data refinement involves executing multi-step recipes over evolving text states, where both composition and execution order of processing operators de https://pulse-3k2.pages.dev/news/974c9bdf432e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models arXiv:2606.31511v1 Announce Type: cross Abstract: In deployment settings where retraining is infeasible, small frozen code models are routinely asked to repair a failed program after seeing their own https://pulse-3k2.pages.dev/news/93c527faad9a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Modality-Driven Search with Holistic Trace Judging for ARC-AGI-2 arXiv:2606.31543v1 Announce Type: cross Abstract: Large language models can produce fluent, internally coherent reasoning traces for abstract reasoning tasks while still being confidently wrong - maki https://pulse-3k2.pages.dev/news/ed8e2117e37d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping arXiv:2606.31693v1 Announce Type: cross Abstract: The wave of AI-native applications is moving shopping beyond page- and feed-based browsing toward intent-driven experiences orchestrated by LLM agents https://pulse-3k2.pages.dev/news/581368a0e417 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization arXiv:2606.31694v1 Announce Type: cross Abstract: For robots manipulating open-world objects, tactile representations must generalize to unseen materials. We introduce RCT (Robotic Contact Tactile), a https://pulse-3k2.pages.dev/news/ad1419aa5d39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks arXiv:2606.31781v1 Announce Type: cross Abstract: Log parsing is a fundamental step in automated log analysis, transforming raw system logs into structured event templates for downstream tasks such as https://pulse-3k2.pages.dev/news/118e11e79bd9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MECoBench: A Systematic Study of Multimodal Agent Collaboration in Embodied Environments arXiv:2606.31966v1 Announce Type: cross Abstract: Recent multimodal large language models (MLLMs) have strong potential as embodied agents, but their ability to collaborate in visually grounded enviro https://pulse-3k2.pages.dev/news/641546bdfab5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning by Surprise: Adaptive Mitigation of Model Collapse in Large Language Models arXiv:2410.12341v4 Announce Type: replace Abstract: As AI-generated content increasingly populates the web, generative AI models are at growing risk of being trained on their own outputs, a process kn https://pulse-3k2.pages.dev/news/584d182627af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verify when Uncertain: Beyond Self-Consistency in Black Box Hallucination Detection arXiv:2502.15845v2 Announce Type: replace Abstract: Large Language Models (LLMs) often hallucinate, limiting their reliability in sensitive applications. In black-box settings, several self-consistenc https://pulse-3k2.pages.dev/news/6de0d77b79c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAGE: A Search-AuGmented Evaluation of Large Language Models on Free-Form QA arXiv:2504.07385v3 Announce Type: replace Abstract: As Large Language Models (LLMs) become increasingly used for question-answering (QA), relying on static, pre-annotated references for evaluation pos https://pulse-3k2.pages.dev/news/06d7f944f814 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Multimodal Perception to Strategic Reasoning: A Survey on AI-Generated Game Commentary arXiv:2506.17294v3 Announce Type: replace Abstract: The advent of artificial intelligence has propelled AI-Generated Game Commentary (AI-GGC) into a rapidly expanding research area, offering advantage https://pulse-3k2.pages.dev/news/6970ddd958db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Bidirectional Process Reward Model arXiv:2508.01682v3 Announce Type: replace Abstract: Process Reward Models (PRMs), which assign fine-grained scores to intermediate reasoning steps within a solution trajectory, have emerged as a promi https://pulse-3k2.pages.dev/news/26211a23b5fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking On-policy Optimization for Query Augmentation arXiv:2510.17139v3 Announce Type: replace Abstract: Recent advances in large language models (LLMs) have led to a surge of interest in query augmentation for information retrieval (IR). Two main appro https://pulse-3k2.pages.dev/news/f631d9496fd3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation arXiv:2512.21002v3 Announce Type: replace Abstract: Distilling the capabilities from a large reasoning model (LRM) to a smaller student model often involves training on substantial amounts of reasonin https://pulse-3k2.pages.dev/news/586d68b84955 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png InfiniteWeb: Scalable Web Environment Synthesis for GUI Agent Training arXiv:2601.04126v3 Announce Type: replace Abstract: GUI agents that interact with graphical interfaces on behalf of users represent a promising direction for practical AI assistants. However, training https://pulse-3k2.pages.dev/news/5c364d5de141 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What If We Allocate Test-Time Compute Adaptively? arXiv:2602.01070v5 Announce Type: replace Abstract: Test-time compute scaling allocates inference computation uniformly, uses fixed sampling strategies, and applies verification only for reranking. In https://pulse-3k2.pages.dev/news/571a2716c083 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FairJudge: An Adaptive, Debiased, and Consistent LLM-as-a-Judge arXiv:2602.06625v2 Announce Type: replace Abstract: Existing LLM-as-a-Judge systems suffer from three fundamental limitations: limited adaptivity to task- and domain-specific evaluation criteria, syst https://pulse-3k2.pages.dev/news/0e0e0a8afcfe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Scalar Rewards: Dense Feedback for LLM Policy Synthesis in Sequential Social Dilemmas arXiv:2603.19453v3 Announce Type: replace Abstract: We propose an LLM harness that generates code-based policy functions for multi-agent environments, evaluates them with self-play, and refines them u https://pulse-3k2.pages.dev/news/8b6149cbe696 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30319/gradient.png BrainJanus: A Unified Model for Understanding and Generation across Brain, Vision, and Language Abstract BrainJanus represents the first unified brain model integrating brain, vision, and language through a shared Omni space, enabling bidirectional mapping between neural activity and sensory sti https://pulse-3k2.pages.dev/news/85503ec2b892 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0cd73acc9fba 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/05/vint-cerf-GettyImages-454796419.jpg?resize=1200,723 The “Father of the Internet” is finally retiring Vinton Cerf, one of the creators of the protocols underlying the internet, will step down as Google's chief internet evangelist next week. https://pulse-3k2.pages.dev/news/16af540596de 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/24eb1f332d96 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.31315/gradient.png BlockPilot: Instance-Adaptive Policy Learning for Diffusion-based Speculative Decoding Abstract Speculative decoding with adaptive block size selection improves inference efficiency by predicting optimal block sizes from prefilling representations, achieving significant speedup with min https://pulse-3k2.pages.dev/news/f067c5a87a87 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!V4wu!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fpbs.substack.com%2Fmedia%2FHMF3K5vakAAfUEM.png [AINews] Sonnet 5 today, and Fable 5 tomorrow Everything is open again! https://pulse-3k2.pages.dev/news/aae9ec2aaea7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/30686149b1fb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e0b3dbde11f4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30811/gradient.png AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation Abstract AVTok is a unified tokenizer for audio-video generation that uses a dual-stream transformer architecture with shared encoder-decoder and modal-specific queries to create compact one-dimension https://pulse-3k2.pages.dev/news/5926ae6482dd 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/anthropic-claude-fable.jpg?resize=1200,798 Trump drops restrictions on Anthropic’s Mythos and Fable models Anthropic said it would begin restoring access to the Fable on July 1. https://pulse-3k2.pages.dev/news/ef51c8cf54be 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/02/Wayve-Germany-02.jpg?resize=1200,675 Wayve launches $85M employee tender offer at $8.5B valuation Wayve’s offering is part of a growing trend of AI startups using employee tenders as a strategic tool to attract and retain talent. https://pulse-3k2.pages.dev/news/6df7df006b53 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29082/gradient.png Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks Abstract Evolutionary fine-tuning enables large language models to develop cross-task problem-solving capabilities by learning from search trajectories, demonstrating improved performance on mathemati https://pulse-3k2.pages.dev/news/046264c30506 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30626/gradient.png DOPD: Dual On-policy Distillation Abstract DOPD addresses privilege illusion in on-policy distillation by dynamically routing token-level supervision between teacher and student policies based on advantage gaps and probabilities, impr https://pulse-3k2.pages.dev/news/0dabf810fe6e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.28436/gradient.png Dockerless: Environment-Free Program Verifier for Coding Agents Abstract A Dockerless environment-free agentic patch verifier improves code patch evaluation accuracy and enables effective post-training without execution-based verification costs. Generated by Qwen/ https://pulse-3k2.pages.dev/news/33d627354ea7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9e2b7a8b6c23 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30697/gradient.png LUMOS: A Semantic Operating-System Layer for Accessibility-Grounded AI Agents Abstract LUMOS provides a semantic interaction layer that converts operating system metadata into machine-readable formats, enabling AI agents to interact more efficiently with computer interfaces tha https://pulse-3k2.pages.dev/news/c9190e114a53 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ac46a3da11ea 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d2397ffcf205 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30084/gradient.png One Forward Beats Two: InnerZoom for Accurate and Efficient GUI Grounding Abstract InnerZoom addresses GUI grounding challenges by preserving target-region awareness across decoder layers through a single-forward pass that bridges cross-layer evidence, achieving state-of-th https://pulse-3k2.pages.dev/news/faec301153c8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29537/gradient.png OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks Abstract OSWorld 2.0 presents a comprehensive benchmark for evaluating computer-use agents through complex, real-world workflows that reveal current limitations in agent reasoning and task completion. https://pulse-3k2.pages.dev/news/262496731706 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aac9f5c21de1 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!FQL_!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fdf8be96e-5c79-4412-baaa-e987da5ef53a_1280x960.jpeg Forward Deployed Engineers and the future of software engineering Sierra's Natalie Meurer on why product engineers and forward deployed engineers are starting to converge. https://pulse-3k2.pages.dev/news/f65f2e876d28 2026-07-02 monthly 0.7 https://external-preview.redd.it/zWQt12NU4w3burNWihm1H3s0c_7jXLVRBi4i3UA62YM.png?width=640&crop=smart&auto=webp&s=ac63d824299ac09773ddb21624fc69704cea790c Claude Code Is Steganographically Marking Requests   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/0b30128daf8f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e4a022908747 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/cerebras-gemma4-voice-ai/thumbnail.png Hugging Face and Cerebras bring Gemma 4 to real-time voice AI Back to Articles a]:hidden"> Hugging Face and Cerebras bring Gemma 4 to real-time voice AI Published July 1, 2026 Update on GitHub Upvote - Amir Mahla A-Mahla Andres Marafioti andito Leandro von Werra https://pulse-3k2.pages.dev/news/24152700931d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/36a34e35b3e7 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/5etL13QQgAMhtg9AcVTBUb/e4410e33c9eb0725a9da60e0968dcfc6/image.png Resend joins the Vercel Marketplace Resend is now available on the Vercel Marketplace , allowing Vercel teams to send emails from their applications without managing any infrastructure. This integration helps developers start sending me https://pulse-3k2.pages.dev/news/0382f79f25a1 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/49ZaH1e2DzONS7p0aRjchu/2f25cdf73c9dd6defec5d90bd7868080/image.png Enforce consistent code for agents and humans with konsistent konsistent is now open source. konsistent is a CLI linter for TypeScript codebases that enforces structural conventions, giving agents and humans the consistent context they need to implement features https://pulse-3k2.pages.dev/news/e3b78910353c 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/2A38nJrrsaiiWrnezmH3IN/d05926dcac41080079d421e1921f9d04/dry-run-og.png Dry-run deployments with Vercel CLI You can now preview the framework preset and files that Vercel CLI includes in a deployment before creating one. Run vercel deploy --dry from a linked project: For automation or further inspection, re https://pulse-3k2.pages.dev/news/2acafbd6a645 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8c6790fcb593 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2921c952ad32 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/83cf8a3ef5bd 2026-07-02 monthly 0.7 https://repository-images.githubusercontent.com/67722017/76fcc500-525b-11ea-85e2-37c7b18c893c Google copybara: moving code between repositories Article URL: https://github.com/google/copybara Comments URL: https://news.ycombinator.com/item?id=48740698 Points: 208 # Comments: 34 https://pulse-3k2.pages.dev/news/985582112902 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!9BC6!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9842112b-570d-48b7-92f3-7cbb05681776_1280x720.jpeg Ahmad Osman on why local AI is catching up After two packed AIEWF workshops, Ahmad Osman makes the case that local AI is catching up fast — from laptops and phones to enterprise-grade infrastructure. https://pulse-3k2.pages.dev/news/a793b1e6d823 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c555dac40910 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29308/gradient.png MirrorPPR: Exemplar-Based Portrait Photo Retouching Abstract Exemplar-based portrait retouching framework using Diffusion Transformer with LoRA adaptation and self-augmented training data achieves superior quality and identity preservation. Generated b https://pulse-3k2.pages.dev/news/60bb7368a0c2 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!CQgP!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8215c2ac-ba16-483d-a53d-2957f2add233_1376x864.png The twilight of the chatbots How work changes along the exponential https://pulse-3k2.pages.dev/news/9e61dd70a472 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/nano-banana-2-lite-raccoon.jpg Nano Banana 2 Lite Nano Banana 2 Lite Also known as Gemini 3.1 Flash Lite Image ( gemini-3.1-flash-lite-image in their API ), this is the "fastest and cheapest Gemini image model, engineered for velocity and scale". I u https://pulse-3k2.pages.dev/news/0f93921e1745 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/04/ChatGPT-OpenClaw-Claude.jpg?resize=1200,800 OpenClaw is finally available on Android and iOS The free open source agentic program is finally invading your phone. https://pulse-3k2.pages.dev/news/319975cb5f1b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/82dbb58a5849 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!eP8O!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff2b09fed-37cb-4d91-8981-68d6a7605583_564x500.jpeg The Once And Future Fable #5 We, or at least ‘more than 100 American institutions,’ got Mythos back this week. https://pulse-3k2.pages.dev/news/92845702433c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/36f5f67c86fa 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/sonnet-5-pelican.png What's new in Claude Sonnet 5 What's new in Claude Sonnet 5 Claude Sonnet 5 came out this morning . I always head straight for the "what's new" developer docs because they tend to have more actionable information than the off https://pulse-3k2.pages.dev/news/b5f02f3221df 2026-07-02 monthly 0.7 https://ngrok.com/blog-assets/images/2026-06-26-i-ported-kubernetes-to-the-browser/og.jpg I ported Kubernetes to the browser https://github.com/ngrok/webernetes https://webernetes-demo.ngrok.app/ Comments URL: https://news.ycombinator.com/item?id=48738985 Points: 263 # Comments: 80 https://pulse-3k2.pages.dev/news/7370cae4a373 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/09d53a71739e 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Martin-Schmid-EquiLibre-Technologies.jpeg?resize=1200,800 The DeepMind trio who built a poker AI are now making money for quant hedge funds EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 million. https://pulse-3k2.pages.dev/news/10aafe1b462d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27409/gradient.png Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement Abstract Delayed verification in multi-agent LLM systems can cause instability leading to oscillations, but grounded factual answering stabilizes the system by making truth an absorbing boundary. Gene https://pulse-3k2.pages.dev/news/4528700ce30a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27755/gradient.png Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models? Abstract Research reveals that language backbones in Vision-Language-Action models are highly redundant for robotic manipulation tasks, while vision and action pathways are more critical, suggesting n https://pulse-3k2.pages.dev/news/4461798d7fe7 2026-07-02 monthly 0.7 https://preview.redd.it/xm9r1q48ahah1.png?width=140&height=76&auto=webp&s=bf81572234a55592ae5bf4968ee60c0dabda6d9a Agents-A1 GGUF quants (35B Qwen3.5-MoE agent model) — NVFP4 for Blackwell + working MTP speculative decoding (up to 1.22× single-user, 91% draft acceptance) Repo → huggingface.co/LordNeel/Agents-A1-GGUF I made GGUF quants of InternScience/Agents-A1 — a 35B Mixture of Experts agent model (Qwen3.5-MoE, ~3B active, 256 experts / 8+1 active, hybrid linear+ful https://pulse-3k2.pages.dev/news/61b0a369a3b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/56b95adf3934 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/broken-ai-robot-browser-404-1152x648.jpg New attack provides one more reason why AI browsers are a bad idea Telling an LLM that 2 + 2 = 5 is enough to make it follow forbidden instructions. https://pulse-3k2.pages.dev/news/e720a3b9a808 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a496560f1a5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/965fdf6520ec 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7619f0d29a05 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/62b7679e3a17 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a2bd2a3e0207 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cda8150e012d 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!RsJ8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ffd0e8086-1d92-4869-b571-a6cebbb440ed_1536x1164.png How to Survive AI as a Non-Believer With a Psychotic Boss You will want to bookmark this https://pulse-3k2.pages.dev/news/828c9ac95481 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/google-image-models.png?resize=1200,678 Google introduces a faster, cheaper image generator with Nano Banana 2 Lite Google is updating its image generator to make it faster and cheaper, making it a more useful tool for creators looking to make AI content. https://pulse-3k2.pages.dev/news/8e97e3c94e1a 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Nano-Banana-2-Lite-1152x648.jpg Google's new Nano Banana 2 Lite image model is its fastest and cheapest yet They may not look as good, but Nano Banana 2 Lite images only take a few seconds to create. https://pulse-3k2.pages.dev/news/d2b47e5ca2b1 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/649c1276a83f996b4191a8f1/iYCwB2Hl8qPTA8DCgDilB.png ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration Back to Articles a]:hidden"> ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration Enterprise Article Published June 30, 2026 Upvote - Raju Pavuluri rpavuluri ibm-research Rahul K https://pulse-3k2.pages.dev/news/860aefecb4b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/73562dfe50c4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2501.18916/gradient.png LLM Program Optimization via Retrieval Augmented Search Abstract Blackbox adaptation methods using retrieval-augmented search and atomic edit decomposition improve program optimization performance for both C++ and Python code. Generated by Qwen/Qwen2.5-Cod https://pulse-3k2.pages.dev/news/2c28145366d0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Chip-chips-dollar-signs-money.png?resize=1200,960 Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip Nvidia AI chip competitor Etched says it has already booked $1 billion under contract for the inference systems powered by its chip. https://pulse-3k2.pages.dev/news/813169354dd4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a2fd93ac1dfd 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Claude-photo.jpg?w=1024 Anthropic launches Claude Sonnet 5 as a cheaper way to run agents Anthropic’s Claude Sonnet 5 brings stronger agentic capabilities, lower pricing, and improved safety, positioning the model as a cheaper alternative to Opus, GPT-5.5, and Gemini Pro. https://pulse-3k2.pages.dev/news/4307222bc7e5 2026-07-02 monthly 0.7 https://cdn.sanity.io/images/4zrzovbb/website/458ea645ef6b729f6847cba16932716e6b547f2f-2880x1620.png Claude Sonnet 5 Article URL: https://www.anthropic.com/news/claude-sonnet-5 Comments URL: https://news.ycombinator.com/item?id=48736605 Points: 300 # Comments: 145 https://pulse-3k2.pages.dev/news/3cd2541eae96 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Landscape_Promo.png?resize=1200,586 Acti puts AI agents directly into your smartphone keyboard Startup Acti is betting the smartphone keyboard is the next home for AI assistants. Its new keyboard for iOS and Android works across apps and lets users create custom AI-powered shortcuts using natur https://pulse-3k2.pages.dev/news/2feca97e4815 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8629cca2232d 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/garage-tinkerer.jpg The AI Compass The AI Compass This political compass style quiz by bambamramfan is pretty neat - answer 29 questions about AI and AI ethics to see which of the 30 archetypes you best fit. I'm impressed that my answe https://pulse-3k2.pages.dev/news/6fd1fe14bff4 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/GQE.webp Designing GPU-Accelerated Query Engines with NVIDIA GQE GPU-accelerated query engines are often constrained by memory and I/O bandwidth. NVIDIA hardware advances—including high bandwidth memory (HBM), NVIDIA... https://pulse-3k2.pages.dev/news/235a58759bc6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23885/gradient.png Mind the Heads: Topological Representation Alignment for Multimodal LLMs Abstract HeRA aligns individual attention heads in MLLMs to preserve local neighborhood relationships across modalities, improving vision-centric task performance and reducing visual hallucinations. G https://pulse-3k2.pages.dev/news/edc5c3c2496e 2026-07-02 monthly 0.7 https://external-preview.redd.it/nTjwPmqvwUQbahV-P6ENHiP5xtXF4H7yryIEeXDYh2g.png?width=640&crop=smart&auto=webp&s=f2ac808f9e89e04e0c5c85280a9998ac3b444bee HIP: use hipBLAS for dense prefill on gfx900, keep MMQ for MoE by DEV-DUFORD · Pull Request #24588 · ggml-org/llama.cpp Overall Performance Gains: Qwen3.5 4B : +36.1% Qwen3.6 27B : +18.9% Gemma4 12B : +65.1% Overall average : ~40% Only for gfx900 related GPUs: Vega GPU, codename vega10, including Radeon Vega Frontier E https://pulse-3k2.pages.dev/news/48271a3e3016 2026-07-02 monthly 0.7 https://cdn.prod.website-files.com/6889473510b50328dbb70ae6/6a429b9909aa1b063a203021_life-sciences-tn.jpg Claude Science Article URL: https://claude.com/product/claude-science Comments URL: https://news.ycombinator.com/item?id=48735770 Points: 371 # Comments: 122 https://pulse-3k2.pages.dev/news/5f359226de74 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0c2252c9cad7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2249359579.jpg?resize=1200,800 Anthropic’s Claude Science bets on workflow, not a new model, to win over scientists Anthropic's Claude Science is a workbench that gives scientists one environment to do computational research, saving them from the need to bounce between databases, pipelines, and tools. https://pulse-3k2.pages.dev/news/055d65598c84 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/national-design-web-vomit-1152x648.jpg Trump's plan to redesign every .gov website leads to AI-designed horrors A year in, National Design Studio delays plan to update government web standards. https://pulse-3k2.pages.dev/news/33e83aa6382e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e6d9181f4de8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/029349730d58 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29957/gradient.png SWE-Together: Evaluating Coding Agents in Interactive User Sessions Abstract SWE-Together is a multi-turn coding benchmark created from real user-agent interactions, featuring a reactive LLM simulator to evaluate agents based on both final correctness and interaction https://pulse-3k2.pages.dev/news/cdd4b4c93c5f 2026-07-02 monthly 0.7 https://lh3.googleusercontent.com/Ql4QBQqrJPlvjsXXPJt3oQZQOQ3ZV043uphGcuddkg4iQTSfoCaycofYS8zkcvWWiH8oLJo-X4Tq5i2iEOWzXNK1UKF9raf-wmzMJdInaspBYNVy-MY=w1440-h810-n-nu Nano Banana 2 Lite Article URL: https://deepmind.google/models/gemini-image/flash-lite/ Comments URL: https://news.ycombinator.com/item?id=48735444 Points: 308 # Comments: 120 https://pulse-3k2.pages.dev/news/36e57ccb3878 2026-07-02 monthly 0.7 https://external-preview.redd.it/aW1nZWhhYW41Z2FoMebicqoYBvWaiJMlT_2VgvGbVFYZXBjXb0s9qseYT3p3.png?width=640&crop=smart&auto=webp&s=ebb2ed396951b144529d5c6282e0a1517dd0ee34 Running Hunyuan3D Image to 3D Object on an iPhone   submitted by   /u/arduinoRPi4 [link]   [comments] https://pulse-3k2.pages.dev/news/269909f28c4a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30292/gradient.png DreamForge-World 0.1 Preview: A Low-Compute Real-Time Controllable World Model Abstract DreamForge-World 0.1 Preview adapts a video generation architecture with a residual action pathway to enable real-time interactive world simulation on consumer hardware with low computational https://pulse-3k2.pages.dev/news/03f3b1ae7fbb 2026-07-02 monthly 0.7 https://storage.ghost.io/c/0f/76/0f76b548-bc58-4f25-abc3-3f5ebca07da4/content/images/size/w1200/2026/06/photo-1610028290816-5d937a395a49.jpeg County with 37 Data Centers Asks Schools to 'Conserve Electricity' Article URL: https://www.404media.co/henrico-virginia-datacenter-energy-cost-email/ Comments URL: https://news.ycombinator.com/item?id=48734699 Points: 209 # Comments: 105 https://pulse-3k2.pages.dev/news/270bf5aff18a 2026-07-02 monthly 0.7 https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-omni__keyword_v6.width-1300.png Start building with Nano Banana 2 Lite and Gemini Omni Flash Start building with Nano Banana 2 Lite and Gemini Omni Flash Jun 30, 2026 · Share x.com Facebook LinkedIn Mail We’re making it easier to experiment and scale your ideas with Nano Banana 2 Lite, our fa https://pulse-3k2.pages.dev/news/2a6a3d4ddef5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c01357be2626 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/av.webp Optimizing a Neural Reconstruction Pipeline Using NVIDIA Nsight Developer Tools NVIDIA Ominverse NuRec is a neural reconstruction pipeline for building high-fidelity 3D representations of real-world environments from multisensor data such... https://pulse-3k2.pages.dev/news/2536d2fed202 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/361b852334ef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/459b1d9c8cef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3bd3bcf30165 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2280560807-1024x648.jpg Trump asked Musk for SpaceX stock to seed US kids’ savings accounts, report says Sources suggest Musk may be mulling big donation to Trump Accounts. https://pulse-3k2.pages.dev/news/e067b1efad21 2026-07-02 monthly 0.7 https://libertystreeteconomics.newyorkfed.org/wp-content/uploads/sites/2/2026/06/LSE_2026_labor-share_schuh_460.jpg The labor share of income in the US is at its lowest post-war level Article URL: https://libertystreeteconomics.newyorkfed.org/2026/06/the-post-covid-decline-in-the-labor-share/ Comments URL: https://news.ycombinator.com/item?id=48734234 Points: 290 # Comments: 234 https://pulse-3k2.pages.dev/news/df268f1ba700 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.00097/gradient.png RocketSmith: Agentic Additive Manufacturing of High-Powered Rockets Abstract An agentic system using large language models automates high-power rocket design processes, enabling successful flight testing with consistent simulation results. Generated by Qwen/Qwen2.5-Co https://pulse-3k2.pages.dev/news/15d225116275 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT-3QAgenticAI-01.jpg?itok=CCI-vFri Q&A: What is agentic AI today, and what do we want it to be? Computer scientist Phillip Isola cuts through the hype to explain how AI agents work and what the future might hold for this rapidly advancing technology. https://pulse-3k2.pages.dev/news/d262a8bfde6c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.28525/gradient.png A Gravitational Interpretation of Fine-Tuning Reversion Abstract Post-alignment safety degradation arises from geometric properties of training history, where fine-tuning reversion follows a persistent direction defined by early training dynamics. Generate https://pulse-3k2.pages.dev/news/f148419ecb40 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25621/gradient.png One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications Abstract A universal speech enhancement model with configurable algorithmic and computational latency controls using parallel convolutions and early-exit mechanisms. Generated by Qwen/Qwen2.5-Coder-32 https://pulse-3k2.pages.dev/news/a54c3d83b752 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/04414acbcdbf 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/08/twitter-x-logo-musk-pattern.jpg?resize=1200,675 X now offers an MCP server to make its platform easier for AI tools to use X has launched a hosted MCP server, making it easier for developers to connect AI applications with the company’s API. https://pulse-3k2.pages.dev/news/c9803145ade9 2026-07-02 monthly 0.7 https://preview.redd.it/1dagxa38mfah1.gif?frame=1&width=140&height=140&crop=1:1,smart&auto=webp&s=7d9ea704dbc0f95b9e6aa063fd5e94fc739538e2 I built an autonomous dev pipeline and ran the same project head to head: a 27B local on a modded 4090, then again on cheap cloud LLMs Hey everyone! I open-sourced something I've been working on called Lullabeast. It's an autonomous dev pipeline. You describe your project and planner, executor, and reviewer agents build it phase by p https://pulse-3k2.pages.dev/news/fd93a14ef0ea 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Copy-of-Newsletter-2.jpeg?resize=1200,809 Podcasting platform Riverside enters the newsletter publishing game Users will be able use AI to create newsletters based on their recordings. https://pulse-3k2.pages.dev/news/d6adaabeb707 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/05/GettyImages-1808364693.jpg?w=1200 Amazon launches new $1 billion FDE org, following OpenAI and Anthropic Engineers on the new team will embed within companies to deploy purpose-built agents, focusing on fast deployments and customer self-sufficiency. https://pulse-3k2.pages.dev/news/11882d8e4587 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/85cc904e214c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27339/gradient.png SAM2Matting: Generalized Image and Video Matting Abstract SAM2Matting advances video matting by decoupling tracking and matting tasks through a tracker-to-matting framework that leverages foundational trackers with region-proposal bridges and dedica https://pulse-3k2.pages.dev/news/63ac111a0ecc 2026-07-02 monthly 0.7 https://preview.redd.it/lyowrx2jmfah1.png?width=640&crop=smart&auto=webp&s=c72bb2719fe6d19e2c4a21f91220cc94a4d8fb6e PageStorm: A Model Built for Creative Book Writing Over a year ago, we set out to build a single-turn full-book writing model. Half a year ago, we published our LongPage Dataset for book scale creative writing. Today, we are announcing our first model https://pulse-3k2.pages.dev/news/9f340727232d 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/69d815b52c6db28cfdfdd422/Av4v9_l94sEUj-etRFOLb.png Why Specialization Is Inevitable Back to Articles a]:hidden"> Why Specialization Is Inevitable Team Article Published June 30, 2026 Upvote 1 Erick Lachmann ErickvL Dharma-AI Francisco de Almeida Rocha Alves falves9101 Dharma-AI What https://pulse-3k2.pages.dev/news/114de5dfab3e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4c730eb05d93 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2ea416aada1c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/07/Lumo-by-proton.jpeg?resize=1200,600 Lumo, Proton’s privacy-focused AI chatbot, gets an upgrade Proton's Lumo 2.0 is dropping this week, giving users a broader variety of capabilities. https://pulse-3k2.pages.dev/news/6791452c6177 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30634/gradient.png One-Step Gradient Delay is Not a Barrier for Large-Scale Asynchronous Pipeline Parallel LLM Pretraining Abstract Asynchronous pipeline parallelism with PipeDream-2BW can achieve near-synchronous performance through optimizer selection and error feedback correction, overcoming traditional stability conce https://pulse-3k2.pages.dev/news/9f3120cfcd2d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/488acd770bbd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54102632b076 2026-07-02 monthly 0.7 https://preview.redd.it/gk5srir26fah1.jpeg?width=640&crop=smart&auto=webp&s=54c08e8581aa00ff9688ff1a1e93e2b722bdc736 Well.. it's a step up from nonstop bot spam I guess   submitted by   /u/ForsookComparison [link]   [comments] https://pulse-3k2.pages.dev/news/45f82b193fd1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fa5b754c5b90 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization (from the Qwen team) The quadratic complexity of attention poses a critical bottleneck for long-context processing, spurring interest in hybrid attention designs. Most open-source hybrid models adopt a layer-wise strategy https://pulse-3k2.pages.dev/news/cc63e7d3b8f0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7dee567dd6de 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a983026b4ed4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29600/gradient.png One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models Abstract A faithful 3D world representation should account for layered geometry, where a single camera ray may contain multiple visible and geometrically valid surfaces. Monocular depth estimation, ho https://pulse-3k2.pages.dev/news/8fde35663efa 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb Explaining Attention with Program Synthesis The same day I discovered Tracr, this paper dropped. Very interesting and potentially accelerates LLM training significantly. The idea of programmable attention seems promising.   submitted by &#3 https://pulse-3k2.pages.dev/news/7e4cab5b0759 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f387e71953b0 2026-07-02 monthly 0.7 https://external-preview.redd.it/ScMmdSrFYjnzpFEwQ1xik374KKHIoq5M9aB2RWoduow.png?width=640&crop=smart&auto=webp&s=56592d12663c0bc98590ef5e7ce110cbeb5446d0 NEW on Hugging Face: Filter by hardware compatibility   submitted by   /u/paf1138 [link]   [comments] https://pulse-3k2.pages.dev/news/a3de63af0f16 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22749/gradient.png RaysUp: Ultra-light Universal Feature Upsampling via Geometry-Aware Ray Representation Abstract RaysUp is a lightweight, task-agnostic feature upsampling framework that reconstructs high-resolution features using geometry-aware ray domain techniques with improved efficiency and accuracy https://pulse-3k2.pages.dev/news/33f454e5c47a 2026-07-02 monthly 0.7 https://wp.technologyreview.com/wp-content/uploads/2026/06/Reltio-iStock-2279127589.jpg?w=2309 Agriculture is ready for AI, but its data isn’t Artificial intelligence is transforming what is possible in agriculture, but industry leaders should be wary of investing in AI without first laying the groundwork.  The use cases are promising, https://pulse-3k2.pages.dev/news/8b0103847631 2026-07-02 monthly 0.7 https://preview.redd.it/29tji3noteah1.png?width=140&height=79&auto=webp&s=8e1b8705ac867254bf81d890012ab45ba820cea2 Huawei open-sources OpenPangu-2.0-Flash - 92B total,6B active https://x.com/Chinazhidx/status/2071877413685109071 TODAY: #Huawei open-sources OpenPangu-2.0-Flash #OpenPangu 2.0 includes two 512K-context models: • Flash: 92B total,6B active—Weights+inference code https://pulse-3k2.pages.dev/news/37976f24310d 2026-07-02 monthly 0.7 https://preview.redd.it/9e8fpnunpeah1.gif?frame=1&width=140&height=78&auto=webp&s=68a24836f34ed9fff665a256af988dc497a57acc A map of the latest 11 million papers split by semantic similarity and time slices [P] I have building alternative ways explore scientifc literature. The goal was to make the large number of papers published daily easier to keep up with by visualising the macro scopic trend. It is free https://pulse-3k2.pages.dev/news/73e24261e3b0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30054/gradient.png Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation Abstract ILLUME-X is a unified multimodal paradigm that enhances text-image generation through improved data efficiency, stable training processes, and comprehensive evaluation metrics. Generated by Q https://pulse-3k2.pages.dev/news/4b496b470e7a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b6e0c819351a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f76c646509a2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4745c3afec41 2026-07-02 monthly 0.7 https://external-preview.redd.it/nvYO1HxwwC_BZzlMdHgjCSd3wIS0pl17qkT9Y-hB0q8.png?width=640&crop=smart&auto=webp&s=a4349f35f5d7ad5bf0893f48690ad3a2edaa2c7e MTP-only GGUF subsets: Qwen3.5/3.6 They are just MTP-only GGUF subsets of Qwen3.5/3.6 Medium/Large (27B and above) models (to accelerate token generation of Qwen-based models without MTP tensors ). But I hope they help experimenting wi https://pulse-3k2.pages.dev/news/76d42cafe963 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/73ff595aa87e 2026-07-02 monthly 0.7 https://cms.waag.org/sites/waag/files/styles/1200x630/public/2026-06/scherm-afbeelding_2026-06-23_om_10.31.35.png European digital ID wallets are a gift to Google and Apple Article URL: https://waag.org/en/article/european-digital-id-wallets-are-gift-google-and-apple/ Comments URL: https://news.ycombinator.com/item?id=48730729 Points: 278 # Comments: 119 https://pulse-3k2.pages.dev/news/a74cfbff87ac 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30410/gradient.png Beyond IID: How General Are Tabular Foundation Models, Really? Abstract Tabular foundation models show varying performance across different data conditions, with traditional methods still outperforming newer approaches on complex, large-scale datasets. Generated https://pulse-3k2.pages.dev/news/05408eded433 2026-07-02 monthly 0.7 https://external-preview.redd.it/YzcwZ21zazM3ZWFoMWloBJAvUZPDecFCilr15OaO21n-TWxA4_5L_s1MiKXa.png?width=640&crop=smart&auto=webp&s=43d862a31450f7f6af8f87c0c1adfc796e334f77 Norm-preserving abliteration on Qwen3.6-35B-A3B: 0% refusal, benchmarks intact, open source dataset Been reading the mechanistic interpretability literature on refusal for a while now. The core insight from Arditi et al. (2024) is clean: refusal is mediated by a geometrically consistent direction in https://pulse-3k2.pages.dev/news/45885e060f82 2026-07-02 monthly 0.7 https://external-preview.redd.it/KDAUf1sxYVy5bzLynO1YXfoi7iOMApMD6i1ORCHtjYk.jpeg?width=320&crop=smart&auto=webp&s=295b1346ff65bc62ff0c5e835410648859f4aa68 Play poker with Reachy Mini and his friend Eliza - Built in 24hrs Hey folks, this is my entry into the recent Cerebras x Gemma 24hr Hackathon. It features a full live poker experience with Reachy Mini, his friend Eliza, and a table that's tracked by an orchestrator https://pulse-3k2.pages.dev/news/b3eec78989db 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.28733/gradient.png Agentic Abstention: Do Agents Know When to Stop Instead of Act? Abstract Agentic abstention involves determining when an AI agent should cease interaction under uncertainty, requiring sequential decision-making across multiple environments and task types. Generate https://pulse-3k2.pages.dev/news/947aac64c967 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2783ddb1c4c5 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/okx-ai.jpg?resize=1200,800 Crypto exchange OKX wants AI agents to hire and pay each other OKX is bringing together payments, identity and reputation into a marketplace for AI agents. https://pulse-3k2.pages.dev/news/068c9bc43551 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/7pYrohTaJusmMwISBrPGF3/8d3e678444d2b6a22ba62085b9a3bb8b/Frame-1.png?w=1600&h=900&fit=fill How ChatGPT adoption has expanded New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages. https://pulse-3k2.pages.dev/news/0ccc1cc339c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/89c15c6ef7a7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27708/gradient.png ZooClaw-FashionSigLIP2: Distilled Fine-tuning for Robust Fashion Retrieval Abstract A fashion-specialized vision-language model achieves superior retrieval performance through full fine-tuning with knowledge distillation and weight interpolation, outperforming existing metho https://pulse-3k2.pages.dev/news/ad9b2d9c0d9b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8ac4bc26cab1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25393/gradient.png Large-Scale Tunnel Air-Ground Collaboration With FLISP: Fast LiDAR-IMU Synchronized Path Planner Abstract Hydropower tunnel inspection is critical for infrastructure integrity yet remains inefficient and hazardous using manual methods. We propose FLISP (Fast LiDAR-IMU Synchronized Path Planner), https://pulse-3k2.pages.dev/news/d1342393580d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30170/gradient.png Beyond Drug Discovery: The Nanotechnology Molecular Optimization (NMO) Benchmark Abstract The Nanotechnology Molecular Optimization (NMO) Benchmark introduces physics-based molecular design challenges that require new generative model approaches, moving beyond drug-discovery-focus https://pulse-3k2.pages.dev/news/1e28eabb9301 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fe65901dc178 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25363/gradient.png TheoremGraph: Bridging Formal and Informal Mathematics Abstract A unified mathematical dependency graph connects informal and formal mathematics through semantic embedding and automated extraction from arXiv papers and Lean projects. Generated by Qwen/Qwe https://pulse-3k2.pages.dev/news/ed91c7f67f00 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29501/gradient.png Learning Transferable Dynamics Priors from Action to World Modeling Abstract Action-conditioned world modeling enables transferable dynamics priors for robot learning through pretraining on large-scale manipulation data, supporting both simulator-based policy evaluati https://pulse-3k2.pages.dev/news/e1831b1df8b1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30308/gradient.png The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction Abstract ViDiHand uses pretrained video diffusion model representations with hand-overlay rendering to reconstruct 4D hand motion directly from video frames without detectors or optimization. Generate https://pulse-3k2.pages.dev/news/290b5353a1a4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7fad8d12e634 2026-07-02 monthly 0.7 https://substackcdn.com/image/youtube/w_728,c_limit/htM02KMNZnk [AINews] not much happened today a quiet day before the storm. https://pulse-3k2.pages.dev/news/19907702ae3f 2026-07-02 monthly 0.7 https://external-preview.redd.it/0_L8oYYwPhpVOQQrPt5hT4T1eCW29TMjayezzKVrgnI.png?width=640&crop=smart&auto=webp&s=c6b7ac63b0bcf5664bd9ba3dfba34b17ba2f22d6 InternScience/Agents-A1 · Hugging Face Unbelievable benchmarks for a 35B MoE, somebody verify. Here is tech report btw: https://arxiv.org/pdf/2606.30616   submitted by   /u/mlon_eusk-_- [link]   [comments] https://pulse-3k2.pages.dev/news/0c809b5c7af1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22473/gradient.png Interleaved Speech Language Models Latently Work In Text Abstract Interleaved speech-text language models exhibit an implicit transcription phase where text tokens become decodable in intermediate layers, followed by text-based prediction before speech doma https://pulse-3k2.pages.dev/news/29661316142f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6fe3d1d6deb3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.28480/gradient.png TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents Abstract TUA-Bench presents a comprehensive benchmark for evaluating general-purpose terminal-use agents across diverse digital activities and specialized workflows, revealing significant performance https://pulse-3k2.pages.dev/news/8ca2d1033630 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/14d785c64139 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ec7076d91519 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27828/gradient.png Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning Abstract A new benchmark evaluates multimodal large language models' ability to reason over dynamic visual evidence through controlled temporal-logical operations rather than simple object recognition https://pulse-3k2.pages.dev/news/17b80d04a057 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a04720fb5519 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29667/gradient.png Unlocking the Visual Record of Materials Science: A Large-Scale Multimodal Dataset from Scientific Literature Abstract A novel pipeline called MatMMExtract is introduced that processes compound scientific figures into individual panels and generates structured annotations using large language models, creating https://pulse-3k2.pages.dev/news/c1d771a81e1b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fe7f3192e8d9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24256/gradient.png Trimming the Long-Tail of Visual World Modeling Evaluation Abstract Current visual world models demonstrate limited generalization beyond common physical interactions, struggling with rare and irregular scenarios despite achieving realism on standard benchmar https://pulse-3k2.pages.dev/news/e24933b65250 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2256487455.jpg?w=1024 The AI jobs debate just got messier A new report finds "high-intensity AI adopters” saw headcount increase 10.2%. Among those companies, entry-level headcount rose by 12%, countering the rhetoric that AI kills junior jobs. https://pulse-3k2.pages.dev/news/873dd7f2c84b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can AI Draw Science? A Benchmark for Evaluating Scientific Figure Generation by Text-to-Image and Multimodal Models arXiv:2606.28406v1 Announce Type: new Abstract: Text-to-image and multimodal generative models are increasingly used to produce scientific figures such as mechanism diagrams, experimental-design schem https://pulse-3k2.pages.dev/news/ae20d070089b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Necessity of a Liquid Substrate for Mesh Intelligence arXiv:2606.28413v1 Announce Type: new Abstract: A mesh of sovereign agents has no center: no shared clock, no shared model, and no coordinator to gather data or retrain. Its competence rests on each a https://pulse-3k2.pages.dev/news/79afb41eb581 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy arXiv:2606.28433v1 Announce Type: new Abstract: One goal in reinforcement learning (RL) research is to understand general-purpose sequential decision-making, using benchmark simulators as a proxy for https://pulse-3k2.pages.dev/news/e70b81ae6d1b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Distributedly Estimate under Partially Known Dynamics: A Covariance-Agnostic Neural Kalman Consensus Filter arXiv:2606.28441v1 Announce Type: new Abstract: Online latent state estimation constitutes a fundamental challenge within the artificial intelligence field, serving as a foundational tool for diverse https://pulse-3k2.pages.dev/news/af9d67ad65c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights arXiv:2606.28444v1 Announce Type: new Abstract: Classical universal approximation theorems establish the expressive power of sigmoidal multilayer perceptrons, but they do not prescribe how initial wei https://pulse-3k2.pages.dev/news/76bf158178ef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png scKDGM: KAN-guided Dynamic Graph Masked Learning for Single-Cell RNA-seq Clustering arXiv:2606.28459v1 Announce Type: new Abstract: Single-cell RNA sequencing (scRNA-seq) clustering is essential for identifying cell types, but high dimensionality, sparsity, dropout, and technical noi https://pulse-3k2.pages.dev/news/ff256cb70125 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Counterfactual Residual Data Augmentation for Regression arXiv:2606.28460v1 Announce Type: new Abstract: Data-driven modeling in real-world regression tasks often suffers from limited training samples, high collection costs, and noisy observations. Inspired https://pulse-3k2.pages.dev/news/ff7ca1a2ab72 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Singular Learning and Occam's Razor in Deep Monomial Networks arXiv:2606.28464v1 Announce Type: new Abstract: In the optimization of neural networks, gradient dynamics are influenced by critical points that arise from the model's architecture. These critical poi https://pulse-3k2.pages.dev/news/ca78fbc24e73 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations arXiv:2606.28467v1 Announce Type: new Abstract: Appliance-level energy monitoring in office buildings produces noisy alerts that non-expert facility managers struggle to use. This paper proposes an en https://pulse-3k2.pages.dev/news/7ae6c717288e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Modelling Emotional Memory in Children with Tensor Networks arXiv:2606.28470v1 Announce Type: new Abstract: We demonstrate how emotional valence influences the order-dependent structure of children's recognition memory: correct recall of a sequence of emotiona https://pulse-3k2.pages.dev/news/eacd39658705 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications arXiv:2606.28519v1 Announce Type: new Abstract: Training operator-learning models for large-scale problems governed by partial differential equations (PDEs) is challenging due to the curse of dimensio https://pulse-3k2.pages.dev/news/9ad918ddcd9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Gravitational Interpretation of Fine-Tuning Reversion arXiv:2606.28525v1 Announce Type: new Abstract: Fine-tuning on harmless data can partially undo behaviors acquired earlier in training. Safety can erode under benign post-alignment updates, unlearned https://pulse-3k2.pages.dev/news/5c7606cbbf7b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NIVA: A Multimodal Foundation Model for Actionable Earth System Intelligence arXiv:2606.28546v1 Announce Type: new Abstract: Recent advances in AI-driven weather and climate modeling have improved forecast skill while reducing computational cost. However, existing data-driven https://pulse-3k2.pages.dev/news/40c993401310 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving Coherence in Hierarchical Time Series Forecasting using Structured Temporal Fusion arXiv:2606.28553v1 Announce Type: new Abstract: In many real-world applications, such as retail sales, energy usage, and supply chain planning, forecasting is performed across hierarchical structures. https://pulse-3k2.pages.dev/news/4c0fc2f2944e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geometric Measurements of the Axiom of Choice in Neural Proof Embeddings arXiv:2606.28572v1 Announce Type: new Abstract: The axiom of choice has divided the foundations of mathematics for over a century, but the distinction between classical and constructive proofs has rem https://pulse-3k2.pages.dev/news/35d08f86af7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model arXiv:2606.28573v1 Announce Type: new Abstract: Modern machine learning models are trained by optimizing high-dimensional non-convex empirical risk functions. Such cost functions can have a multitude https://pulse-3k2.pages.dev/news/5a183ec588d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs arXiv:2606.28615v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in high-stakes domains, where free-text explanations such as chain-of-thought and post-hoc ration https://pulse-3k2.pages.dev/news/ad2c5e7413ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Randomized Exploration for Linear Bandits via Absolute Perturbations arXiv:2606.28616v1 Announce Type: new Abstract: In stochastic linear bandits, the canonical Upper Confidence Bound (UCB) algorithm admits a simple frequentist regret analysis but can be computationall https://pulse-3k2.pages.dev/news/999d34c4c82f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving Patient Subtyping on Longitudinal Data using Representations from Mamba-based Architecture arXiv:2606.28623v1 Announce Type: new Abstract: Effective sub-typing (also known as grouping or clustering) of patients using their electronic health record (EHR) data can greatly inform precision med https://pulse-3k2.pages.dev/news/9f80ef43030b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When More Sampling Hurts: The Modal Ceiling and Correlation Ceiling of Test-Time Scaling arXiv:2606.28661v1 Announce Type: new Abstract: People overthink; language models over-sample, and the extra effort can talk both into a worse answer. Reasoning systems answer a hard question by sampl https://pulse-3k2.pages.dev/news/1dc191e63e08 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closed-Form Steepest Descent Direction toward Flat Minima: Reducing Upper Bounds on the Loss Hessian Eigenspectrum in Neural Networks arXiv:2606.28662v1 Announce Type: new Abstract: The flatness hypothesis suggests that flatness of the loss landscape, as measured by the eigenvalues of the loss Hessian, correlates with better neural https://pulse-3k2.pages.dev/news/1be7e9bdc679 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Entropy Regularized Reinforcement Learning for Zero-Sum Stochastic Differential Games in a Regime-Switching Jump-Diffusion Process arXiv:2606.28669v1 Announce Type: new Abstract: To address parameter misspecification and sudden structural environmental changes in conventional stochastic differential game (SDG) frameworks, this pa https://pulse-3k2.pages.dev/news/4c51b10d7ace 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Entropy-Regularized Reinforcement Learning for Linear-Quadratic Stackelberg Differential Games in Regime-Switching Diffusion Models arXiv:2606.28671v1 Announce Type: new Abstract: Stackelberg differential games (SDGs) provide a powerful framework for hierarchical decision-making in stochastic and continuous-time environments, yet https://pulse-3k2.pages.dev/news/9fa09ce491c4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Tabular Diffusion for Finance arXiv:2606.28674v1 Announce Type: new Abstract: Generative models in finance face the dual challenge of producing realistic data while satisfying strict regulatory and economic objectives, a requireme https://pulse-3k2.pages.dev/news/3f75548f8faf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Path-Space Formulation of Prediction in World Models: From a Single Action to Prediction, Planning, and Irreversibility arXiv:2606.28751v1 Announce Type: new Abstract: We propose a path-space formulation of prediction in AI world models. Rather than sequences of one-step conditional distributions, we argue that a world https://pulse-3k2.pages.dev/news/08ded73674c2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hierarchical Decision Making with Structured Policies: A Principled Design via Inverse Optimization arXiv:2606.28764v1 Announce Type: new Abstract: Hierarchical decision-making frameworks are pivotal for addressing complex control tasks, enabling agents to decompose intricate problems into manageabl https://pulse-3k2.pages.dev/news/af30f14e91b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions arXiv:2606.28769v1 Announce Type: new Abstract: Emotional body motion expressions are an essential element of non-verbal communication. Effectively conveying these expressions through technology is of https://pulse-3k2.pages.dev/news/eb6e625ecb3e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On design-unbiased algorithmic Machine Learning arXiv:2606.28795v1 Announce Type: new Abstract: Machine Learning (ML) algorithms, such as k-Nearest Neighbours (kNN) or random forest, eschew the ideal of true data models in favour of predictive perf https://pulse-3k2.pages.dev/news/e68e64f2c56c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HARD-KV: Head-Adaptive Regularization for Decoding-time KV Compression arXiv:2606.28831v1 Announce Type: new Abstract: Long-context LLM inference faces a fundamental conflict: head-adaptive compression algorithms (e.g., Top-$p$ nucleus sampling) offer superior accuracy b https://pulse-3k2.pages.dev/news/36b64bc611c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Active Quantum Kernel Acquisition for Gaussian Process Regression arXiv:2606.28833v1 Announce Type: new Abstract: Quantum kernel estimation on near-term hardware is shot-budgeted: every entry of the kernel Gram matrix is a Bernoulli expectation that must be sampled https://pulse-3k2.pages.dev/news/d29d19a99105 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fisher-Routed Mixture of Experts for Federated Class-Incremental Learning arXiv:2606.28835v1 Announce Type: new Abstract: Federated Learning (FL) emerged as a promising distributed machine learning paradigm. However, extending FL to the class incremental learning scenarios https://pulse-3k2.pages.dev/news/5e76abe5096d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Contagion Tensor: A Framework for Measuring Output-Distribution Coupling in Multi-Agent LLM Systems -- and Auditing the Claims It Enables arXiv:2606.28839v1 Announce Type: new Abstract: We introduce the Contagion Tensor, a measurement framework for quantifying how large language model (LLM) output distributions couple across modalities, https://pulse-3k2.pages.dev/news/e5e292c7e10d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Analysis of Adam Algorithms for Stochastic Dynamic Systems arXiv:2606.28879v1 Announce Type: new Abstract: The adaptive moment estimation algorithm, known as Adam, is widely used in modern machine learning, owing to its low per-iteration complexity and strong https://pulse-3k2.pages.dev/news/6115a31838a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Integrated Machine Learning and Hierarchical Variance Decomposition Pipeline for Student Performance Prediction and Metacognitive Calibration on Multi-Signal Telemetry arXiv:2606.28881v1 Announce Type: new Abstract: Predicting student performance and characterizing metacognitive calibration are essential for personalization in intelligent tutoring systems. Prior res https://pulse-3k2.pages.dev/news/5ed58d3564ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MALOQ: Massively Accelerated Learning of Operators for Quantum Transport arXiv:2606.28911v1 Announce Type: new Abstract: Machine-learned (ML) operator models can be trained to predict density functional theory (DFT) Hamiltonian/density matrices at significantly reduced com https://pulse-3k2.pages.dev/news/f6d2878dfeab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ML-Powered LDAP Reconnaissance Detection using Weak Supervision arXiv:2606.28917v1 Announce Type: new Abstract: Lightweight Directory Access Protocol (LDAP) is a protocol that allows users to query and modify Active Directory (AD) data. By default, all users have https://pulse-3k2.pages.dev/news/4e160106187b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks arXiv:2606.28923v1 Announce Type: new Abstract: Detecting security threats in an organization's cloud computing environment has become necessary due to the increased reliance on cloud infrastructure. https://pulse-3k2.pages.dev/news/70d745758e68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Agent Routing as Set-Valued Prediction: A WildChat Benchmark and Cost-Aware Evaluation arXiv:2606.28925v1 Announce Type: new Abstract: Tool and agent routing from natural-language prompts is naturally a set-valued prediction problem: a single query may require multiple agents, while ove https://pulse-3k2.pages.dev/news/0b6c311cba32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DLR: Zero-Inference-Cost Latent Residuals for Low-Rank Pre-Training arXiv:2606.28932v1 Announce Type: new Abstract: Large language models have driven recent progress in language and multimodal AI, yet pre-training them at scale is prohibitively expensive. Low-rank pre https://pulse-3k2.pages.dev/news/bf585ecb8ee8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReGuide: From Test-Time Guidance to Self-Improving Diffusion Policies arXiv:2606.28939v1 Announce Type: new Abstract: Behavior-cloned diffusion policies are expressive but remain vulnerable to covariate shift: small deviations from demonstrated states can compound into https://pulse-3k2.pages.dev/news/71fa16ecc3c2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine-learnable Sets arXiv:2606.28947v1 Announce Type: new Abstract: In this study we present a formal definition of large discrete sets having, informally, three properties: their elements are easily recognized, easily g https://pulse-3k2.pages.dev/news/40b3cc4eaede 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Modification-Considering Value Learning for Reward Hacking Mitigation in RL arXiv:2606.28955v1 Announce Type: new Abstract: Reinforcement learning agents can exploit misspecified reward signals to achieve high apparent returns while failing on the intended objective, a failur https://pulse-3k2.pages.dev/news/21a6f7fdb025 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RGLD: Randomized Global-Local Density Estimation for Tabular Anomaly Detection arXiv:2606.28970v1 Announce Type: new Abstract: Unsupervised tabular anomaly detection requires methods that are accurate, robust across heterogeneous datasets, and computationally efficient. Classica https://pulse-3k2.pages.dev/news/564e22bd2b62 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On Surrogate Modeling of Static Response of AM Short-Fiber Thermoplastics Using Graph Neural Networks arXiv:2606.28996v1 Announce Type: new Abstract: Short-fiber thermoplastic (SFT) composites are increasingly employed in lightweight aerospace and automotive structures owing to their favorable strengt https://pulse-3k2.pages.dev/news/d410619f8b4b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Far Can Sharpness and Complexity Jointly Explain Generalization? arXiv:2606.29043v1 Announce Type: new Abstract: Sharpness and complexity are two central factors in the generalization analysis of deep neural networks. Existing quantitative evaluations of generaliza https://pulse-3k2.pages.dev/news/6aac11121581 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment arXiv:2606.29049v1 Announce Type: new Abstract: Knowledge Tracing (KT) is important for personalized education but traditionally suffers from two key limitations: a reliance on shallow ID-based repres https://pulse-3k2.pages.dev/news/aa3d7bbe2c25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Kernel Fisher Discriminant Analysis-Based Tree Ensemble Classifier: KFDA Forest arXiv:2606.29053v1 Announce Type: new Abstract: In general, an ensemble classifier is more accurate than a single classifier. In this study, we propose an ensemble classifier called the kernel Fisher https://pulse-3k2.pages.dev/news/ff5da85f5d69 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Can Conformal Risk Control Certify LLM Outputs? Bounds, Impossibility, and Adaptation for Structured Generation arXiv:2606.29054v1 Announce Type: new Abstract: Large language models (LLMs) deployed for structured generation (NER, JSON extraction, QA, and classification) lack formal reliability guarantees, and s https://pulse-3k2.pages.dev/news/d77820d9d507 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Statistically Indistinguishable, Operationally Distinct: A Formal Barrier for Tabular Foundation Models arXiv:2606.29091v1 Announce Type: new Abstract: Tabular foundation models cannot reason about data produced by running systems without access to the rules that govern them. We make this statement fals https://pulse-3k2.pages.dev/news/d775785ecbfb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Priced Motion Through Optimal Faces: A Normal-Fan Geometry for Non-Stationary Adversarial MDPs arXiv:2606.29092v1 Announce Type: new Abstract: In a changing decision problem, standard dynamic-regret analyses have often equated the cost of non-stationarity to how far loss moves. However, it is s https://pulse-3k2.pages.dev/news/7c7066352291 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DiLaServe: High SLO Attainment Serving for Diffusion Language Models arXiv:2606.29094v1 Announce Type: new Abstract: Diffusion language models (DLMs) have recently emerged as a promising alternative to conventional autoregressive language models. By generating multiple https://pulse-3k2.pages.dev/news/aa0940b9c730 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Few-Step Boltzmann Generators via Scalable Likelihood Flow Maps arXiv:2606.29110v1 Announce Type: new Abstract: Recent progress in flow-based generative modeling has led to models that output high-quality samples while using only a small number of function evaluat https://pulse-3k2.pages.dev/news/1e19246dc36a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Novel Latent-Class Attack and its Detection by Class Subspace Orthogonalization arXiv:2606.29112v1 Announce Type: new Abstract: Deep learning, which in general relies on voluminous amounts of training data, is vulnerable to data poisoning attacks, including error-generic attacks https://pulse-3k2.pages.dev/news/b85c6f056e06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Token Influence Decays with Distance: A Green-Function View of Trained Language Models arXiv:2606.29139v1 Announce Type: new Abstract: We study how the next-token prediction of an autoregressive Transformer language model changes under small perturbations of earlier input token embeddin https://pulse-3k2.pages.dev/news/9af5a3ab5600 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Nonlinearity of Learning Rate Scaling for LLM Training arXiv:2606.29158v1 Announce Type: new Abstract: Learning-rate transfer can reduce the cost of training large language models: instead of sweeping learning rates at target scale, practitioners extrapol https://pulse-3k2.pages.dev/news/cf2b356abd74 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GLACIER: Rethinking Mass Spectrum Prediction as an Object Detection Problem arXiv:2606.29161v1 Announce Type: new Abstract: Predicting tandem mass spectra (MS/MS) from molecular structures represents a central task in analytical chemistry with direct relevance to clinical met https://pulse-3k2.pages.dev/news/615f55aae40e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Invariant Reasoning Directions in Latent Trajectories of Language Models arXiv:2606.29164v1 Announce Type: new Abstract: Latent reasoning models perform multi-step inference directly in hidden-state space, yet the structure of these latent reasoning trajectories remains po https://pulse-3k2.pages.dev/news/932744828080 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Symbolic Mechanistic Data Attribution: Tracing Training Influence to Learned Behavioral Policies arXiv:2606.29171v1 Announce Type: new Abstract: While existing data attribution methods can identify which training examples build specific mechanistic circuits, they cannot explain how training data https://pulse-3k2.pages.dev/news/f54a45ed4361 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dead-Direction Conditioners: Gauge-Equivariant Preconditioning for Deep Networks arXiv:2606.29176v1 Announce Type: new Abstract: A deep network's loss is invariant to continuous symmetries of its parameters: the logit shift, the ReLU rescaling, the LayerNorm scale, the per-head at https://pulse-3k2.pages.dev/news/fe8ef3395c94 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning arXiv:2606.29184v1 Announce Type: new Abstract: While Low-rank adaptation (LoRA) enables highly efficient fine-tuning by constraining task-specific updates to fixed low-rank subspaces, this rigid desi https://pulse-3k2.pages.dev/news/8dd7f1d4fed0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Representational Depth of Evaluation Awareness Shifts With Scale in Open-Weight Language Models arXiv:2606.29196v1 Announce Type: new Abstract: Do language models know when they are being tested? This question matters for AI safety: a model that recognises an evaluation context could alter its b https://pulse-3k2.pages.dev/news/78bcb568a254 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BrainRiem: Riemannian Prototype Learning for Source-Free Cross-Site Brain Network Diagnosis arXiv:2606.29200v1 Announce Type: new Abstract: Multi-site functional MRI (fMRI) studies are essential for robust neuropsychiatric diagnosis yet suffer severe domain shifts from scanner heterogeneity, https://pulse-3k2.pages.dev/news/093a08bdfecf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bayesian Best-Arm Identification with Abstention: A Polynomial-to-Exponential Phase Transition arXiv:2606.29203v1 Announce Type: new Abstract: We study the Bayesian fixed-budget best-arm identification problem in which a learner can abstain from making a terminal recommendation. Subject to an a https://pulse-3k2.pages.dev/news/f90714c2d4ec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Block Diffusion Language Models arXiv:2606.29215v1 Announce Type: new Abstract: Block Diffusion Language Models (BD-LMs) improve diffusion-based text generation with KV caching and flexible-length generation. A natural next step is https://pulse-3k2.pages.dev/news/e73dbbe59936 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Linear Matching Bandit Approach to Online Multi-Human Multi-Robot Teaming arXiv:2606.29221v1 Announce Type: new Abstract: We address the problem of online multi-human multi-robot teaming through the lens of a linear matching bandit framework, where a learner assigns robots https://pulse-3k2.pages.dev/news/f01db6bc89de 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Depth Exploration for LLM Decoding arXiv:2606.29223v1 Announce Type: new Abstract: Autoregressive LLM decoding evaluates every generated token through the full layer stack, even though many tokens become predictable at intermediate dep https://pulse-3k2.pages.dev/news/93de4613d022 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Policy Gradient Foundations of Group Relative Policy Optimization: Credit Assignment, Gradient Sparsity, and Rank Collapse arXiv:2606.29238v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) eliminates the learned critic in PPO by using the mean reward of grouped rollouts as a baseline. We provide a https://pulse-3k2.pages.dev/news/60805c3f9549 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Blackknife: Hard-Label Query-Limited Black-Box Attacks on Heterogeneous Graph Neural Networks arXiv:2606.29240v1 Announce Type: new Abstract: Heterogeneous graph neural networks (HGNNs) have achieved strong performance in modeling complex graph-structured data with multiple node and relation t https://pulse-3k2.pages.dev/news/02da6d755d69 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Evaluating Data Priors for Tabular Foundation Models arXiv:2606.29241v1 Announce Type: new Abstract: Data-generating priors are a central component of tabular foundation models because they define the task distribution used during pretraining. However, https://pulse-3k2.pages.dev/news/179445ede102 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KrishokChat: A Citation-Grounded Dataset and Benchmark for Bengali Agricultural Advisory arXiv:2606.29243v1 Announce Type: new Abstract: We present KrishokChat, the first citation-grounded Bengali agricultural instruction-tuning dataset for crop advisory in low-resource settings. We estab https://pulse-3k2.pages.dev/news/3815e4895d5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Prices Double in a Week: Forecasting of Agricultural Volatility in Import-Isolated Markets arXiv:2606.29248v1 Announce Type: new Abstract: Vegetable prices in Sri Lanka are highly volatile because the market is largely import-isolated, so supply disruptions quickly drive prices up. This stu https://pulse-3k2.pages.dev/news/b6e1548c0fc4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Bid in Discriminatory Auctions with Budget Constraints arXiv:2606.29252v1 Announce Type: new Abstract: We study repeated bidding in multi-unit discriminatory (pay-as-bid) auctions for a single bidder with per-round utility equal to value minus $\alpha$ ti https://pulse-3k2.pages.dev/news/1aaeb3c5e296 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Nonlinear mixture model motivated subspace clustering arXiv:2606.29261v1 Announce Type: new Abstract: We derive the linear union-of-subspaces (UoS) model for subspace clustering (SC) from the nonlinear mixture model (NMM) used in blind source separation https://pulse-3k2.pages.dev/news/f68709ecb214 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PCGD: Physics-Guided Conditional Graph Diffusion for TCAD Device Simulation arXiv:2606.29272v1 Announce Type: new Abstract: Technology computer-aided design (TCAD) semiconductor device simulation is fundamentally constrained by the high computational cost of iteratively solvi https://pulse-3k2.pages.dev/news/59313acf75fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Block Diffusion: Resolving Training-Inference Mismatch in Diffusion Language Models arXiv:2606.29275v1 Announce Type: new Abstract: Diffusion Language Models (DLMs) are typically trained under fixed context structures, restricting denoising to predetermined token subsets. This create https://pulse-3k2.pages.dev/news/a51dabbdafcd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deterministic Decisions for High-Stakes AI. A Zero-Egress Pipeline with the Deployability of RAG and the Accuracy of Machine Learning arXiv:2606.29280v1 Announce Type: new Abstract: We identify intervention bias as a previously unquantified failure mode of zero-shot large-language-model (LLM) educational advisory agents: without tas https://pulse-3k2.pages.dev/news/545bf6fdcbd8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Trajectory Matching: Reflow with Marginal Distribution Alignment arXiv:2606.29287v1 Announce Type: new Abstract: Diffusion and continuous-flow generative models achieve high-quality generation, and their deterministic sampling can be formulated as solving learned O https://pulse-3k2.pages.dev/news/793df6c9297c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SP-CACW: Convergence-Aware Client Weighting for Selfish Personalized Learning arXiv:2606.29322v1 Announce Type: new Abstract: Collaborative learning is sustainable only when it benefits each participant. Standard federated learning optimizes a global average objective, which ca https://pulse-3k2.pages.dev/news/bd0bfa8b9d2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deciphering Region-Level Signatures from Latency Measurements in LEO Satellite Internet arXiv:2606.29324v1 Announce Type: new Abstract: Low-Earth orbit (LEO) satellite Internet has become an indispensable infrastructure that provide growing coverage for global users. Despite extensive me https://pulse-3k2.pages.dev/news/da5f2a7d8e4b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sample Complexity of Scientific Discovery: PAC Learnability of Compositional Function Trees arXiv:2606.29331v1 Announce Type: new Abstract: Scientific discovery via symbolic regression is often viewed as statistically and computationally intractable because the hypothesis space of expression https://pulse-3k2.pages.dev/news/7dde90c566c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AMR: Adaptive Modality Routing for Multimodal Polyglot Speaker Identification arXiv:2606.29335v1 Announce Type: new Abstract: Multimodal speaker identification systems face two key challenges in real-world deployment: missing modalities and language mismatch between training an https://pulse-3k2.pages.dev/news/fe9005259fda 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models arXiv:2606.29346v1 Announce Type: new Abstract: Post-hoc explanation methods are routinely used to interpret scientific machine learning models, with the deliverable understood to be insight into the https://pulse-3k2.pages.dev/news/973f7d2e65c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction arXiv:2606.29347v1 Announce Type: new Abstract: Adaptive Financial Transformer (AFT) is proposed for stock return prediction under non-stationary financial markets. The model incorporates a Market Reg https://pulse-3k2.pages.dev/news/464ac3faba53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interventional Flow Matching: Prospective Dose-Response Forecasting with Velocity-Field Jacobian Regularization arXiv:2606.29386v1 Announce Type: new Abstract: Predicting a patient's physiological trajectory under a planned treatment sequence is a prospective interventional problem, not standard time-series ext https://pulse-3k2.pages.dev/news/424311f4e78f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Temporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game arXiv:2606.29423v1 Announce Type: new Abstract: The importance of gesture recognition has been acknowledged in many domains requiring real-time recognition systems. Two requirements for these are fast https://pulse-3k2.pages.dev/news/5b972bdf56e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification arXiv:2606.29440v1 Announce Type: new Abstract: Repeatedly solving parametric PDEs is essential for uncertainty quantification, design optimization and inverse problems, but conventional neural operat https://pulse-3k2.pages.dev/news/f1a81a9642c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interpretable Inverse Design of Metal-Organic Frameworks with Large Language Model Agents arXiv:2606.29459v1 Announce Type: new Abstract: Inverse design of metal-organic frameworks (MOFs) requires searching a combinatorially vast space where property labels are expensive and most machine-l https://pulse-3k2.pages.dev/news/81026c2ac178 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prototype Latent World Model Replay for Class-Incremental Learning arXiv:2606.29465v1 Announce Type: new Abstract: Class-incremental learning requires a model to learn new classes while preserving decision regions for old ones. This is difficult when raw old samples https://pulse-3k2.pages.dev/news/891e769a852e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Supervised Calibration of Scientific Instruments Using Physical Consistency Constraints arXiv:2606.29466v1 Announce Type: new Abstract: Calibration remains one of the principal obstacles to the deployment of machine learning in scientific instrumentation because it typically relies on ex https://pulse-3k2.pages.dev/news/9e456537f970 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structured Proper Loss Geometries for Multiclass Classification: Theory and Controlled Empirical Evaluation arXiv:2606.29471v1 Announce Type: new Abstract: Strictly proper scoring rules identify the true conditional class distribution at population level, but their curvature can alter optimization and finit https://pulse-3k2.pages.dev/news/31be44e283b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CRAFT: Counterfactual Credit Assignment from Free Sibling Rollouts for Self-Distilled Agentic Reinforcement Learning arXiv:2606.29476v1 Announce Type: new Abstract: Self-distilled agentic reinforcement learning augments trajectory-level reward with a token-level distillation loss, using as its teacher the same polic https://pulse-3k2.pages.dev/news/734dd7830fb3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reported Confidence in LLMs Tracks Commitment More Than Correctness arXiv:2606.29490v1 Announce Type: new Abstract: Confidence is an estimate of the probability that a chosen answer is correct. Verbal confidence reports are widely used as uncertainty measures in large https://pulse-3k2.pages.dev/news/be378622c317 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning in Super Mario Bros: Curriculum, Pedagogy, and Optimal Level Design in World 1-1 arXiv:2606.29511v1 Announce Type: new Abstract: World 1-1 of Super Mario Bros is widely celebrated as a masterclass in game design: its progressive structure is credited with teaching players core mec https://pulse-3k2.pages.dev/news/a46cf7cd8649 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Mathematical Optimization Approach for Expert-Informed Bayesian Best Subset Selection arXiv:2606.29516v1 Announce Type: new Abstract: A central challenge in statistical modeling is identifying the subset of features that belong in the true regression model. The classical best subset se https://pulse-3k2.pages.dev/news/514c28bb55d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks arXiv:2606.29519v1 Announce Type: new Abstract: Long-range learning is hard for recurrent networks trained with stochastic gradient descent, because the influence of a past input fades with the lag $\ https://pulse-3k2.pages.dev/news/d5d45b4dd47b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Not All Objectives Are Born Equal: Priority-Constrained Descent for Hierarchical Multi-Objective Optimization arXiv:2606.29521v1 Announce Type: new Abstract: Deep learning problems rarely involve objectives that are equal in importance. A primary objective defines the goal, whilst secondary objectives, such a https://pulse-3k2.pages.dev/news/b5de3a89c228 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Models Read What They Write? Causal Registers in Scratchpad Reasoning arXiv:2606.29522v1 Announce Type: new Abstract: A central hope behind process supervision is that models can expose intermediate variables that matter for their later behavior. For this to help with a https://pulse-3k2.pages.dev/news/ab2fe36efeea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning arXiv:2606.29526v1 Announce Type: new Abstract: Reinforcement learning (RL) has gained growing attention in large language model (LLM) post-training, yet RL training remains fragile and can suffer fro https://pulse-3k2.pages.dev/news/06f6e25751ab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VISTA-DZ: Visual Semantic Trajectory Adaptation for Personalized Dilemma Zone Prediction arXiv:2606.29548v1 Announce Type: new Abstract: Driver decision making in the dilemma zone at signalized intersections is safety critical, as vehicles approaching a yellow signal must decide whether t https://pulse-3k2.pages.dev/news/29e261b0bf49 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Optimizer Memory Makes Shuffle Order a First-Order Source of Fine-Tuning Noise arXiv:2606.29554v1 Announce Type: new Abstract: Shuffle order can be a larger source of fine-tuning noise than a memoryless analysis predicts: fixed-clock optimizer memory makes local equal-multiset c https://pulse-3k2.pages.dev/news/51152cfe0944 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generating in the Limit with Infinitely Many Hallucinations arXiv:2606.28354v1 Announce Type: new Abstract: The classic paradigm of language identification in the limit models learning as a game between an adversary, who reveals strings from an unknown target https://pulse-3k2.pages.dev/news/41b3ecb3c1ae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Extracting Knowledge from an Arabic-English Machine-Readable Dictionary Using Information Extraction arXiv:2606.28457v1 Announce Type: new Abstract: Natural language processing (NLP) applications need large and rich amount of linguistic knowledge. Furthermore, electronic language sources such as dict https://pulse-3k2.pages.dev/news/95d548b8787a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Developmental Trajectories of Situation Modeling and Mentalizing in Transformer Language Models arXiv:2606.28524v1 Announce Type: new Abstract: Recent work suggests that Large Language Models (LLMs) are sensitive to the belief states of agents described by text, as measured by the false belief t https://pulse-3k2.pages.dev/news/e1b301a79f7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A French OSCE Dialogue Dataset and Controllable Virtual Patient System for Clinical Training arXiv:2606.28526v1 Announce Type: new Abstract: The clinical and communication skills of medical students are commonly assessed through Objective Structured Clinical Examinations (OSCEs), which consis https://pulse-3k2.pages.dev/news/382c4076e022 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Legal Domain Adaptation of Modern BERT Models arXiv:2606.28538v1 Announce Type: new Abstract: We investigate domain adaptation of modern BERT models in the legal domain. We further pre-train ModernBERT on all US court opinions using the masked la https://pulse-3k2.pages.dev/news/d73b92817f5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Turn-Averaged SAEs for Feature Discovery and Long-Context Attribution arXiv:2606.28548v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have become a useful tool for extracting interpretable features in language models. However, standard SAE architectures opera https://pulse-3k2.pages.dev/news/dbebe1942b37 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Depth-Staggered Fibonacci Spacing for Sparse Attention: Static Schedules Beat Learned Dilation and Extrapolate Where Dense Attention Fails arXiv:2606.28560v1 Announce Type: new Abstract: We study sparse self-attention in which each query attends to a dense local window plus a set of Fibonacci-spaced offsets, with a per-layer scalar alpha https://pulse-3k2.pages.dev/news/46ef170d4b3a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SEAD: Competence-Aware On-Policy Distillation via Entropy-Guided Supervision arXiv:2606.28562v1 Announce Type: new Abstract: On-policy distillation (OPD) has a property absent in offline distillation and RL: teacher supervision quality depends on student competence. Incoherent https://pulse-3k2.pages.dev/news/771a6053d76b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Correct codes for the wrong reasons? validating LLMs as measurement instruments for theoretical constructs arXiv:2606.28574v1 Announce Type: new Abstract: When a large language model (LLM) codes a construct in text as a human annotator would, that agreement makes the LLM a reliable coder. Yet reliability l https://pulse-3k2.pages.dev/news/4423eb8c4dfd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Phonological Perception of Sign Language Models arXiv:2606.28667v1 Announce Type: new Abstract: Sign languages are compositional systems where meaning arises by combining sublexical phonological parameters, such as handshape, location, and movement https://pulse-3k2.pages.dev/news/27c283516f1d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models arXiv:2606.28708v1 Announce Type: new Abstract: Accurately explaining hidden patterns in multi-aspect data has typically been done by leveraging labels and/or accompanying auxiliary metadata. However, https://pulse-3k2.pages.dev/news/d26b6ad6fa06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SEATauBench: Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages arXiv:2606.28715v1 Announce Type: new Abstract: While AI development and evaluation for Southeast Asia (SEA) has grown rapidly, agent capabilities in regional languages are still poorly understood des https://pulse-3k2.pages.dev/news/8d5ee1144d14 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DriftGuard: Safety-Aware Multi-Monitor Detection and Selective Adaptation for Evolving Toxicity Moderation arXiv:2606.28725v1 Announce Type: new Abstract: Automated toxicity moderation systems operate in dynamic online environments where harmful behavior evolves through coded language, shifting targets, an https://pulse-3k2.pages.dev/news/e6f63bf825c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png 5ting at SemEval-2026 Task 8: Strong End-to-End Multi-Turn RAG via LLM-Based Reranking and Faithfulness Control arXiv:2606.28737v1 Announce Type: new Abstract: We introduce 5ting, our system for the SemEval2026 Task 8 (MTRAGEval), which evaluates multi-turn Retrieval Augmented Generation (RAG) systems. Multi tu https://pulse-3k2.pages.dev/news/542001be46db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Majority Vote Silences Minority Values: Annotator Disagreement at the Hate/Offensive Boundary in HateXplain arXiv:2606.28772v1 Announce Type: new Abstract: Hate speech annotation pipelines routinely collapse annotator disagreement into majority vote labels before training. We show that this aggregation is n https://pulse-3k2.pages.dev/news/7f4e1553ef0c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structure-Preserving Document Translation via Multi-Stage LLM Pipeline: A Case Study in Marathi arXiv:2606.28796v1 Announce Type: new Abstract: Government documents in India are predominantly issued in regional languages such as Marathi, creating substantial accessibility barriers for non-native https://pulse-3k2.pages.dev/news/0389a7d169a9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Labeling Training Data for Entity Matching Using Large Language Models arXiv:2606.28823v1 Announce Type: new Abstract: Recent large language models (LLMs) achieve strong performance on entity matching without requiring task-specific training data. However, applying these https://pulse-3k2.pages.dev/news/205ccb83d9d3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Heterogeneous Safety Impacts of Benign Multilingual Fine-Tuning arXiv:2606.28843v1 Announce Type: new Abstract: Fine-tuning a large language model is a ubiquitous method for enhancing its capability on a specific downstream task. However, prior work has shown that https://pulse-3k2.pages.dev/news/7e86d748e932 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Open but Incompatible: A License Compatibility Analysis of Corpora for Low-Resource African Languages arXiv:2606.28867v1 Announce Type: new Abstract: Creative Commons licenses dominate African NLP corpus releases, but their compatibility rules are rarely applied. CC-BY-SA and CC-BY-NC cannot be combin https://pulse-3k2.pages.dev/news/5009e0975dfc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Memory-Managed Long-Context Attention: A Preliminary Study of Editable Request-Local Memory arXiv:2606.28876v1 Announce Type: new Abstract: Long-context language models often conflate two different goals: compressing history into an efficient state, and maintaining reliable long-term memory. https://pulse-3k2.pages.dev/news/cc909d2e3842 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PASTA: A Paraphrasing And Self-Training Approach for Knowledge Updating in LLMs arXiv:2606.28898v1 Announce Type: new Abstract: Knowledge updating in pre-trained Large Language Models (LLMs) remains an important challenge. While continual training provides a potential avenue for https://pulse-3k2.pages.dev/news/b8d85869a2d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Latent Bridges for Multi-Table Question Answering arXiv:2606.28916v1 Announce Type: new Abstract: We introduce GRAB, a constructor-encoder-bridge pipeline for table question answering. Our method lifts relational data into an heterogeneous graph, enc https://pulse-3k2.pages.dev/news/d67286d2bd25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization arXiv:2606.28933v1 Announce Type: new Abstract: Venture capital (VC) investment decisions face distinct challenges, such as multi-source heterogeneous data, non-stationary time series, and the demand https://pulse-3k2.pages.dev/news/253e2b1d9f26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control arXiv:2606.28938v1 Announce Type: new Abstract: Modern vision-language models (VLMs) for driving assistants typically treat vehicle dynamics as a black box, resulting in decisions that lack awareness https://pulse-3k2.pages.dev/news/e26867a75770 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A3M: Adaptive, Adversarial and Multi-Objective Learning for Strategic Bidding in Repeated Auctions arXiv:2606.28943v1 Announce Type: new Abstract: Learning to bid in repeated multi-unit auctions with bandit feedback poses a fundamental challenge. Existing methods often rely on rigid explore-then-ex https://pulse-3k2.pages.dev/news/fa612e5d79e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond the Mean: Three-Axis Fidelity for Aligning LLM-Based Survey Simulators from Small Pilot Data arXiv:2606.28963v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to simulate social survey responses, yet their outputs exhibit systematic biases: marginal distributi https://pulse-3k2.pages.dev/news/58ab3b0043d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can LLMs Hire Fairly? Racial Bias in Resume Screening arXiv:2606.28978v1 Announce Type: new Abstract: We audit fourteen mainstream large language models (LLMs) for hiring discrimination using the paired-resume methodology of Kline, Rose, and Walters (202 https://pulse-3k2.pages.dev/news/30fd250e77ea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fine-Tuning General-Purpose Large Language Models for Agricultural Applications:A Reproducible Framework and Evaluation Protocol Based on Qwen3-8B arXiv:2606.28992v1 Announce Type: new Abstract: General-purpose large language models (LLMs) have demonstrated strong abilities in opendomain question answering, information extraction, and text gener https://pulse-3k2.pages.dev/news/80aa313b408c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BERTomelo: Your Portuguese Encoder Best Friend arXiv:2606.28999v1 Announce Type: new Abstract: Encoders have become the state of the art for multiple NLP tasks, especially those requiring deep contextual understanding. While multilingual models of https://pulse-3k2.pages.dev/news/de423f74cbd6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Conversational Domain Adaptation of IndicTrans2 across 21 Indic Languages via Experience Replay and Model Soups arXiv:2606.29024v1 Announce Type: new Abstract: IndicTrans2 is the strongest open English to Indic translation system, but like most systems it is trained on general text and tends to sound stiff on c https://pulse-3k2.pages.dev/news/3a50e6e16bba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How to Leverage Synthetic Speech for LLM-Based ASR Systems? arXiv:2606.29031v1 Announce Type: new Abstract: In regulated domains such as banking and healthcare, where privacy constraints make real speech costly to collect and retain, synthetic speech from mode https://pulse-3k2.pages.dev/news/b67c999075a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The strength of clinical evidence is recoverable from language model representations but not from their stated grades arXiv:2606.29034v1 Announce Type: new Abstract: Large language models (LLMs) increasingly summarize clinical evidence, where a claim's weight depends on how strongly it is supported. Yet these models https://pulse-3k2.pages.dev/news/c2c194f6da43 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Masked Diffusion Decoding as $x$-Prediction Flow arXiv:2606.29066v1 Announce Type: new Abstract: Masked diffusion language models (MDLMs) generate text by iteratively unmasking tokens, but their standard decoder reduces each step to a binary action: https://pulse-3k2.pages.dev/news/38e6b90bfc65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ThinkProbe: Beyond Accuracy -- Structural Profiling of Open-Ended LLM Reasoning Traces via Non-Generative Thought Graphs arXiv:2606.29067v1 Announce Type: new Abstract: We present ThinkProbe, a framework for structural analysis of LLM reasoning traces. ThinkProbe converts each trace into a Thought Graph a directed graph https://pulse-3k2.pages.dev/news/f02dc60cff59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Comparative Study on Affective Cues in Text Embeddings Across Psychological Emotion Theories arXiv:2606.29068v1 Announce Type: new Abstract: Text encoders are known for their utility in natural language processing, as they are able to efficiently compress inputs into dense vectors while prese https://pulse-3k2.pages.dev/news/b9cfb6617a90 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks arXiv:2606.29082v1 Announce Type: new Abstract: Would experience designing faster GPU kernels also help close in on a long-standing open mathematical conjecture? Large Language Models (LLMs) integrate https://pulse-3k2.pages.dev/news/32d070cbb7b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AB-RAG: Adaptive Budgeted Retrieval-Augmented Generation for Reliable Question Answering arXiv:2606.29090v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become the standard way to ground large language models in external knowledge, yet most systems retrieve a fixe https://pulse-3k2.pages.dev/news/f77155fe6c30 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Knowing in Advance When an Evolutionary Outer Loop Will Not Help: A Pre-Registered Cheap-Baseline Screening Rule arXiv:2606.29119v1 Announce Type: new Abstract: We introduce a pre-registered screening rule that decides, before any implementation, whether an evolutionary / population / lifecycle outer loop over n https://pulse-3k2.pages.dev/news/c269b1789871 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Anthropomorphic Language Impacts Public Perceptions of AI arXiv:2606.29121v1 Announce Type: new Abstract: Public discourse about artificial intelligence (AI) often uses anthropomorphic language: language that attributes human capabilities and characteristics https://pulse-3k2.pages.dev/news/f80306cbe7b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DistilledGemma: Balanced Efficiency-Accuracy for Person-Place Relation Extraction from Multilingual Historical Articles arXiv:2606.29130v1 Announce Type: new Abstract: We present DistilledGemma, an efficient and accurate system for the HIPE-2026 shared task on person-place relation extraction from multilingual historic https://pulse-3k2.pages.dev/news/df6f9539729e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can OCR-VLMs Read Devanagari? A Stress-Test Benchmark and Post-Correction Study arXiv:2606.29213v1 Announce Type: new Abstract: OCR systems, ranging from classical engines to specialised OCR vision-language models (OCR-VLMs) and frontier multimodal LLMs, report strong results on https://pulse-3k2.pages.dev/news/e8d7eb1d7a05 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Evaluation Illusion in Diffusion Large Language Models arXiv:2606.29228v1 Announce Type: new Abstract: Despite the capability of parallel decoding, diffusion large language models (dLLMs) require many denoising steps to maintain generation quality, motiva https://pulse-3k2.pages.dev/news/0e23fb7f1039 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Travel-Oriented Reasoning Large Language Model via Domain-Specific Knowledge Graphs arXiv:2606.29254v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate broad reasoning abilities but struggle with accuracy and reliability in specialized domains such as travel, whe https://pulse-3k2.pages.dev/news/5c926cf99ac0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling arXiv:2606.29265v1 Announce Type: new Abstract: Reasoning large language models (LLMs) have recently made much progress in complex problem-solving, leveraging internal reasoning (or thought) to guide https://pulse-3k2.pages.dev/news/9db2165aa588 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment arXiv:2606.29273v1 Announce Type: new Abstract: Emotion recognition of song lyrics is a challenging task since lyrics may not necessarily align with the overall emotion of a song. As a result, lyrics https://pulse-3k2.pages.dev/news/3ceba06fdd23 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TriageRA-CCF: Source-Side Clinical Confidence and Coverage Signals for Adaptive Rank Budgeting in Medical LLMs arXiv:2606.29375v1 Announce Type: new Abstract: Medical large language models are commonly adapted with a fixed low-rank budget, even though medical questions differ substantially in confidence, clini https://pulse-3k2.pages.dev/news/2d62aeb1fdc5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Temporal Sinhala OCR: Page-Level Adaptation and Diachronic Analysis arXiv:2606.29378v1 Announce Type: new Abstract: Sinhala is a morphologically rich abugida spoken by roughly 16 million people in Sri Lanka, and to date, there are no publicly available real-world data https://pulse-3k2.pages.dev/news/3aed4729b59e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LC-ICL: Label-Guided Contrastive In-Context Learning for Robust Information Extraction arXiv:2606.29407v1 Announce Type: new Abstract: There has been increasing interest in exploring the capabilities of advanced large language models (LLMs) in the field of information extraction (IE), s https://pulse-3k2.pages.dev/news/605fd2be5b1b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EntroRouter: Learning Efficient Model Routing via Entropy Regulation arXiv:2606.29424v1 Announce Type: new Abstract: Model routing balances solution accuracy and computational cost by selecting among models of varying capabilities. While recent multi-round frameworks i https://pulse-3k2.pages.dev/news/1b1f34430e42 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png mamabench and mamaretrieval: Benchmarks for Evaluating Medical Retrieval-Augmented Generation in Maternal, Neonatal, and Reproductive Health arXiv:2606.29467v1 Announce Type: new Abstract: Medical question-answering benchmarks rarely cover the maternal, neonatal, child, and reproductive-health questions a nurse-midwife asks, and, to our kn https://pulse-3k2.pages.dev/news/bbdca4b70630 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png To Reason or to Fabricate: Reasoning Without Shortcuts via Hint-Anchored Pairwise Aggregation arXiv:2606.29481v1 Announce Type: new Abstract: While reinforcement learning (RL) significantly enhances LLM reasoning, its efficacy is severely undermined by Pre-RL data overlap, where RL datasets ov https://pulse-3k2.pages.dev/news/4c9b9337915d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy arXiv:2606.29489v1 Announce Type: new Abstract: When humans translate, not every word depends equally on the surrounding context. Some tokens, particularly function words like pronouns and auxiliaries https://pulse-3k2.pages.dev/news/51a75c72443a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Verbose Context Problem in Medical Records arXiv:2606.29503v1 Announce Type: new Abstract: The verbose context problem occurs when structured concepts have token-inefficient textual representations. This bottleneck is acute in population healt https://pulse-3k2.pages.dev/news/f752e5283cb1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Preference-ASR: A Preference-Aware Test Set for Benchmarking ASR in the Era of Speech LLMs arXiv:2606.29534v1 Announce Type: new Abstract: Popular ASR test sets adopt inconsistent conventions for numbers, disfluencies, entities, and casing, while standard normalizers erase the format distin https://pulse-3k2.pages.dev/news/d436db61ef1a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AURORA: Asymmetry and Update-Induced Rotation for Robust Hallucination Detection in Large Language Models arXiv:2606.29545v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing tasks. However, their tendency https://pulse-3k2.pages.dev/news/789afdc15c2c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Coverage-Driven KV Cache Eviction for Efficient and Improved Inference of LLM arXiv:2606.29563v1 Announce Type: new Abstract: Large language models (LLMs) excel at complex tasks like question answering and summarization, thanks to their ability to handle long-context inputs. Ho https://pulse-3k2.pages.dev/news/900a0bb25178 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Anisotropy Decides Cosine vs. Rank Metrics for Text Embeddings arXiv:2606.29571v1 Announce Type: new Abstract: The standard way to compare two text embeddings is cosine similarity. Scattered studies report that a different metric does better, but never pin down t https://pulse-3k2.pages.dev/news/7d2be32d1834 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MAM-AI: An On-Device Medical Retrieval-Augmented Generation System for Nurses and Midwives in Zanzibar arXiv:2606.29580v1 Announce Type: new Abstract: Maternal and newborn mortality remain among the highest in sub-Saharan Africa, where midwifery care is often delivered by nurses who lack midwifery trai https://pulse-3k2.pages.dev/news/c2f0759e970c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How much of an LLM-generated clinical corpus is actually new? A production-scale measurement of content redundancy for provenance classification arXiv:2606.29605v1 Announce Type: new Abstract: Clinical machine learning increasingly relies on training corpora generated by large language models (LLMs) rather than annotated by clinicians, and suc https://pulse-3k2.pages.dev/news/ac2a4d349f65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do We Still Need Fine Tuning? Turkish Sentiment Analysis in the Era of Large Language Model arXiv:2606.29614v1 Announce Type: new Abstract: This study examines whether supervised fine-tuning remains necessary for Turkish sentiment analysis in the era of large language models. We compare clas https://pulse-3k2.pages.dev/news/a7e8d7527df7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Two-Stage Prompt Optimization for Few-Shot Relation Extraction: From Reasoning-Guided Search to Gradient-Guided Refinement arXiv:2606.29639v1 Announce Type: new Abstract: Automatic prompt optimization is still underexplored for episodic few-shot relation extraction with smaller language models. We propose a two-stage fram https://pulse-3k2.pages.dev/news/4ce5262a039c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid Retriever Evolution for Multimodal Document Reasoning Agents arXiv:2606.29648v1 Announce Type: new Abstract: Different retrievers, including lexical, semantic, and multimodal approaches, provide highly complementary strengths for multimodal document understandi https://pulse-3k2.pages.dev/news/23966e8a0450 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Resolution Thresholds in VLM Detection of Harmful ASCII Art Across Construction Modes and Languages arXiv:2606.29649v1 Announce Type: new Abstract: Large Vision-Language Models (VLMs) are increasingly deployed as content moderation tools, yet they remain vulnerable to jailbreak attacks in which harm https://pulse-3k2.pages.dev/news/ebcc9ad1ae9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How LLMs See Creativity: Zero-Shot Scoring of Visual Creativity with Interpretable Reasoning arXiv:2606.29672v1 Announce Type: new Abstract: Evaluating the originality of visual images poses enduring challenges for creativity assessment. Automated scoring using AI models has proven effective https://pulse-3k2.pages.dev/news/04e713d090ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can MLLMs Critique Like Humans? Evaluating Open-Ended Aesthetic Reasoning in Multimodal Large Language Models arXiv:2606.29689v1 Announce Type: new Abstract: Open-ended aesthetic critique is a challenge for multimodal large language models (MLLMs): unlike multiple-choice aesthetic benchmarks, it has no single https://pulse-3k2.pages.dev/news/71a86e9b859e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Struggle with Continuous Latents? Interpretable Discrete Latent Reasoning via Rendered Compression arXiv:2606.29712v1 Announce Type: new Abstract: Large language models achieve high reasoning performance via explicit chain-of-thought and reinforcement learning, but require long output sequences and https://pulse-3k2.pages.dev/news/e307e8040083 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SEVA: Self-Evolving Verification Agent with Process Reward for Fact Attribution arXiv:2606.29713v1 Announce Type: new Abstract: Hallucination is the reliability bottleneck for LLM-based agents, and fact attribution verifiers are the last line of defense -- yet today's verifiers e https://pulse-3k2.pages.dev/news/1534c7123e67 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Far Do On-Prem Open LLMs Get on Text-to-SQL? A Cross-Family Size x Technique Frontier on BIRD arXiv:2606.29733v1 Announce Type: new Abstract: Organizations that cannot send data to a cloud API increasingly ask: how good is Text-to-SQL if the model must run on-premises on open weights, and whic https://pulse-3k2.pages.dev/news/ac1bcb45c348 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fast Numbers, Slow Language: Bridging Quantitative and Qualitative Earnings Signals arXiv:2606.29734v1 Announce Type: new Abstract: Earnings announcements release two types of information sequentially: quantitative surprise (numeric earnings-per-share (EPS)/revenue versus analyst est https://pulse-3k2.pages.dev/news/ff5208f933cd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage arXiv:2606.29750v1 Announce Type: new Abstract: Automatic mapping between disease classification systems, such as the International Classification of Diseases (ICD), is a challenging yet essential tas https://pulse-3k2.pages.dev/news/c15a60586c75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are Humans Evolved Instruction Followers? An Underlying Inductive Bias Enables Rapid Instructed Task Learning arXiv:2606.29792v1 Announce Type: new Abstract: Human adults can often perform a novel task correctly on the first attempt after only receiving verbal or written instructions. This rapid instructed ta https://pulse-3k2.pages.dev/news/727773d65c32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fund2Persona: A Framework for Building and Refining Financial Advisor Personas from Fund Disclosure Data arXiv:2606.29793v1 Announce Type: new Abstract: Demand for personalized financial advising is growing, but consistent advisor expertise is difficult to obtain, scale, and encode in LLM systems. Simple https://pulse-3k2.pages.dev/news/574cd75febc4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation arXiv:2606.29809v1 Announce Type: new Abstract: Hallucination detection has become a pressing requirement for trustworthy AI deployment at scale. The most accurate detection methods depend on GPU-inte https://pulse-3k2.pages.dev/news/929ba54e0896 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models arXiv:2606.29815v1 Announce Type: new Abstract: Evaluating code large language models (Code LLMs) requires reliable detection of data leakage, where benchmark performance is artificially inflated by e https://pulse-3k2.pages.dev/news/c8aca70ec2a8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering arXiv:2606.29824v1 Announce Type: new Abstract: While Large Language Models (LLMs) excel as static solvers, transforming them into autonomous agents remains challenging. This transition requires conti https://pulse-3k2.pages.dev/news/562c472abf69 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective arXiv:2606.29836v1 Announce Type: new Abstract: Most studies on technology development have been conducted from a thematic perspective, but the topics are coarse-grained and insufficient to accurately https://pulse-3k2.pages.dev/news/99adb7087fb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers arXiv:2606.29844v1 Announce Type: new Abstract: The quadratic computational cost of traditional attention mechanisms poses a major bottleneck to the scalability and practical deployment of large langu https://pulse-3k2.pages.dev/news/a0e9cbfe1f80 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Smooth Scaling Laws Hide Stepwise Token Learning arXiv:2606.29858v1 Announce Type: new Abstract: Language model loss follows remarkably regular scaling laws over model and data size, yet it remains unclear why the aggregate loss should exhibit a pow https://pulse-3k2.pages.dev/news/00936ccaef0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring Motivations for Algorithm Mention in the Domain of Natural Language Processing: A Deep Learning Approach arXiv:2606.29859v1 Announce Type: new Abstract: With the rise of data-intensive science, algorithms have become central to scientific research. In academic papers, algorithms are mentioned for differe https://pulse-3k2.pages.dev/news/71ba5ea13619 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search arXiv:2606.29863v1 Announce Type: new Abstract: Agentic search equips large language models with dynamic retrieval abilities, but existing reinforcement learning methods remain limited by reward spars https://pulse-3k2.pages.dev/news/6a380514bee9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ARKD: Adaptive Reinforcement Learning-Guided Bidirectional KL Divergence Distillation for Text Generation arXiv:2606.29869v1 Announce Type: new Abstract: Knowledge distillation (KD) is a key technique for compressing Large Language Models (LLMs), yet methods relying on a single KL objective often fail to https://pulse-3k2.pages.dev/news/9eac5ff1aaae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency arXiv:2606.29876v1 Announce Type: new Abstract: Modern large language models (LLMs) reach 60-70% diagnostic accuracy on complex clinical case benchmarks, but accuracy alone cannot distinguish stable c https://pulse-3k2.pages.dev/news/623be246b42d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Timesteps of Mamba Align with Human Reading Times arXiv:2606.29904v1 Announce Type: new Abstract: This study demonstrates an alignment of per-word processing time in a popular state-space language model Mamba and human readers. In Mamba, the recurren https://pulse-3k2.pages.dev/news/c4501e1fa770 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation arXiv:2606.29914v1 Announce Type: new Abstract: Agent memory systems are increasingly evaluated against RAG and full-context baselines, but reported gains often mix changes in the memory method with c https://pulse-3k2.pages.dev/news/c08fad9ed91c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can LLM-as-a-Judge Reliably Verify Rubrics in Agentic Scenarios? arXiv:2606.29920v1 Announce Type: new Abstract: Rubric-based scoring has become a widely used paradigm in model evaluation, typically with LLM-as-a-Judge (LaaJ) for rubric scoring. However, the reliab https://pulse-3k2.pages.dev/news/68394ba0671c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Physical Intuitions for Alignment Dynamics: A Case Study With Randomness Crystallization arXiv:2606.29933v1 Announce Type: new Abstract: The alignment of language models is typically studied through the lens of capability benchmarks, but the dynamics of how models change during post-train https://pulse-3k2.pages.dev/news/78d1d1df70e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LatentRevise: Learning from Zero-Hit Reasoning arXiv:2606.29938v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) is bottlenecked by hard prompts on which correct trajectories have low probability, so sampling mi https://pulse-3k2.pages.dev/news/ec23b11449f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IHDec: Divergence-Steered Contrastive Decoding for Securing Multi-Turn Instruction Hierarchies arXiv:2606.29960v1 Announce Type: new Abstract: Large Language Models (LLMs) often fail to maintain instruction hierarchies (IH) when processing multi-source inputs with varying role-level priorities, https://pulse-3k2.pages.dev/news/89ac579f651b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are We Measuring Strategy or Phrasing? The Gap Between Surface- and Approach-Level Diversity in LLM Math Reasoning arXiv:2606.29985v1 Announce Type: new Abstract: Diversity in LLM mathematical reasoning is critical for exploration, but common diversity metrics mostly capture surface-level variation rather than dif https://pulse-3k2.pages.dev/news/d6c76b6da2de 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Agents Are Latent Context Managers: Eliciting Self-Managed Context via a Proprioceptive Dashboard arXiv:2606.30005v1 Announce Type: new Abstract: Long-horizon tool agents are bottlenecked by how their context grows toward the limits of the context window. Recent systems make context management age https://pulse-3k2.pages.dev/news/84c3f006a736 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection arXiv:2606.30009v1 Announce Type: new Abstract: Graph anomaly detection (GAD) on text-attributed graphs (TAGs) is vital for applications such as fraud detection and academic integrity verification. Ex https://pulse-3k2.pages.dev/news/caf019374799 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Parametric Skills arXiv:2606.30015v1 Announce Type: new Abstract: Since intelligence fundamentally relies on efficient skill acquisition (Chollet, 2019), the ability to leverage skills is critical. For LLMs, skills, ma https://pulse-3k2.pages.dev/news/3c3ec2a17b91 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Little Brains, Big Feats: Exploring Compact Language Models arXiv:2606.30062v1 Announce Type: new Abstract: While large language models have been dominating the research landscape recently, small language models remain highly relevant across various domains; y https://pulse-3k2.pages.dev/news/0a687d0d59f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Not-quite-human tastes: the stylized omnivorousness of LLM survey surrogates arXiv:2606.30085v1 Announce Type: new Abstract: Large-language models have proven to be remarkable if inconsistent parrots of public attitudes and opinions. The extent to which LLMs are able to produc https://pulse-3k2.pages.dev/news/e880eda3ca4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs arXiv:2606.30093v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) mitigates hallucinations in Large Language Models (LLMs) by grounding the generation process on external knowledge. https://pulse-3k2.pages.dev/news/6b670463db25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information Dynamics of Language Communication arXiv:2606.30096v1 Announce Type: new Abstract: Quantifying how meaning propagates through communicative exchanges remains underdeveloped in computational linguistics. Here we introduce an information https://pulse-3k2.pages.dev/news/e3893062aab6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts arXiv:2606.30152v1 Announce Type: new Abstract: Contextual language models conflate grammatical gender and social semantic bias in gendered languages such as Spanish. Existing gender debiasing approac https://pulse-3k2.pages.dev/news/e4feb52b0ad6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph arXiv:2606.30175v1 Announce Type: new Abstract: The continuous evolution of large language models drives escalating demands on data scale and quality, and as different training stages impose increasin https://pulse-3k2.pages.dev/news/938d41af6039 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DAIN: Dynamic Agent-Based Interaction Network for Efficient and Collaborative Multimodal Reasoning arXiv:2606.30189v1 Announce Type: new Abstract: Current multimodal fusion approaches, particularly those based on static Mixture-of-Experts (MoE) architectures, often struggle to provide the adaptive https://pulse-3k2.pages.dev/news/637b81ede375 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector arXiv:2606.30196v1 Announce Type: new Abstract: This paper offers an in-depth analysis of non-sequential multimodal sentence-level embeddings, with a particular focus on the SONAR model. We demonstrat https://pulse-3k2.pages.dev/news/8252f2e939dd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54f1a8799083 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b5a7283d4feb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26740/gradient.png LiveEdit: Towards Real-Time Diffusion-Based Streaming Video Editing Abstract A novel streaming video editing framework enables causal, frame-by-frame editing with stable long-horizon preservation and real-time responsiveness through a three-stage distillation pipeline https://pulse-3k2.pages.dev/news/7f102fa82e79 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29655/gradient.png Geometric Stability of Neural Population Codes: Regional Variation, Behavioral Relevance, and Circuit Dependence Abstract Geometric stability measures the consistency of pairwise stimulus distances across trials, revealing a distinct aspect of neural representation that differs from temporal stability and decodi https://pulse-3k2.pages.dev/news/9698fd7a50fd 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30045/gradient.png Walking in the Implicit: Interactive World Exploration via Neural Scene Representation Abstract NeuWorld enables efficient interactive video generation by representing scenes as compact neural implicit states and using a transformer VAE with diffusion transformer for trajectory-conditio https://pulse-3k2.pages.dev/news/8dead6758c63 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29887/gradient.png SafePyramid: A Hierarchical Benchmark for In-context Policy Guardrailing Abstract SafePyramid benchmark evaluates guardrail systems' ability to identify safety violations through in-context policy specification across multiple domains and complexity levels. Generated by Qw https://pulse-3k2.pages.dev/news/641b9d76ea77 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29686/gradient.png PoseShield: Neural Collision Fields for Human Self-Collision Resolution Abstract PoseShield addresses self-collision issues in SMPL-based human pose estimation by applying neural collision constraints in pose space through constrained optimization and Eikonal regularizati https://pulse-3k2.pages.dev/news/e6be5c46d862 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30534/gradient.png Orca: The World is in Your Mind Abstract Orca establishes a unified world latent space through next-state-prediction modeling using multimodal data and demonstrates superior performance in downstream tasks compared to specialized ba https://pulse-3k2.pages.dev/news/337b6a2c14c4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2502.16886/gradient.png ReFreeKV: Towards Threshold-Free KV Cache Compression Abstract ReFreeKV addresses the limitations of threshold-dependent KV cache pruning by introducing a threshold-free approach that adaptively allocates compression budgets while maintaining full-cache https://pulse-3k2.pages.dev/news/82ed134b6fad 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30017/gradient.png Monte Carlo Energy Aggregation for Mobile 3D Gaussian Splatting Abstract Flux-GS enables real-time high-fidelity 3D Gaussian Splatting on mobile platforms through efficient lighting representation, attribute-conditioned enhancement, and multi-view densification st https://pulse-3k2.pages.dev/news/4346bf1dbb6c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29814/gradient.png Nemotron-Labs-Diffusion-Image: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis Abstract A masked discrete diffusion model for text-to-image synthesis that addresses limitations in token refinement and training efficiency through novel mechanisms and optimizations. Generated by Q https://pulse-3k2.pages.dev/news/4ae1fcb243ea 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30251/gradient.png TACO: Tool-Augmented Credit Optimization for Agentic Tool Use Abstract Tool-Augmented Credit Optimization (TACO) improves multimodal agent performance by distinguishing useful, redundant, or misleading code operations through dual advantage channels: Differentia https://pulse-3k2.pages.dev/news/492b8d1e752e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23404/gradient.png ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models Abstract ReasoningLens is an open-source framework that provides hierarchical visualization and diagnostic auditing for complex reasoning chains in large reasoning models, enabling structured analysis https://pulse-3k2.pages.dev/news/c0bcbfb8e38e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.30616/gradient.png Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent Abstract Agents-A1, a 35B Mixture-of-Experts Agentic Model, achieves trillion-parameter-level performance through long-horizon trajectory scaling and heterogeneous agent ability scaling via a three-st https://pulse-3k2.pages.dev/news/108f69dd1084 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29225/gradient.png PolicyGuard: A Dialogue-Grounded Sub-Agent Verifier for Policy Adherence in LLM Agents Abstract POLICYGUARD is a sub-agent verifier that enhances LLM agent policy adherence by providing contextual reasoning and conversation-specific feedback across multi-turn interactions. Generated by https://pulse-3k2.pages.dev/news/2aaf214e6299 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26938/gradient.png Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE Abstract SharpMoE addresses routing inefficiencies in diffusion models by using clean latent features to guide salient token identification and employs trajectory routing loss for precise compute allo https://pulse-3k2.pages.dev/news/559a10d0dfda 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Maor-Shlomo-headshot-1.jpeg?resize=1200,754 Vibe coding platform Base44 launches own model as AI startups seek defensibility Wix-owned vibe coding platform Base44 has started rolling out its own AI model — with hopes that it will eventually outperform frontier models. https://pulse-3k2.pages.dev/news/193636ca9dca 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27282/gradient.png How Good Can Linear Models Be for Time-Series Forecasting? Abstract Research demonstrates that preprocessing optimizations, particularly in context length, normalization, and regularization, can significantly improve time-series forecasting accuracy more effe https://pulse-3k2.pages.dev/news/8fe992be327c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29705/gradient.png GUICrafter: Weakly-Supervised GUI Agent Leveraging Massive Unannotated Screenshots Abstract GUICrafter addresses GUI agent data challenges through a weakly-supervised approach using unannotated screenshots and a two-stage curriculum learning framework for visual grounding and reinfo https://pulse-3k2.pages.dev/news/08fe6b54e3a4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.28186/gradient.png Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction Abstract Epi2Diff framework transforms LRM reasoning traces into cognitive episodes to predict human item difficulty more accurately than existing methods. Generated by Qwen/Qwen2.5-Coder-32B-Instruct https://pulse-3k2.pages.dev/news/f2583df121af 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.29445/gradient.png Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction Abstract A new benchmark evaluates multimodal large language models' ability to understand video content and perform GUI tasks, while a novel keyframe extraction method improves performance on both vi https://pulse-3k2.pages.dev/news/fbe5fd6985eb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26016/gradient.png MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Abstract MIMFlow combines Normalizing Flows with Masked Image Modeling to improve generative modeling by decoupling semantic representation from pixel-level details, achieving better performance with https://pulse-3k2.pages.dev/news/9be64acc0ea5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e95bd095433a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24143/gradient.png AsyncOPD: How Stale Can On-Policy Distillation Be? Abstract Asynchronous on-policy distillation addresses training bottlenecks in large language model post-training by decoupling rollout generation from learner updates, though it introduces challenges https://pulse-3k2.pages.dev/news/ab834f46f43f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/79537920c56a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4e05c7f98a9f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a86293950ed4 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/4qr79a7I9t0yubW3b85LkZ/ba3957711a13505d263236da2a5f558c/expanded_audit_log_coverage_delivered_through_verc_og_card__1_.jpg Expanded Audit Log coverage, now delivered through Vercel Drains Audit Logs now capture 400+ unique team activity events , giving teams broader coverage for security reviews, compliance workflows, and investigations. With Vercel Drains support, teams can export tho https://pulse-3k2.pages.dev/news/326b5d51b877 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/eee_commevals/eee_commevals_banner.png Featuring Every Eval Ever Results on Hugging Face Model Pages Back to Articles a]:hidden"> Featuring Every Eval Ever Results on Hugging Face Model Pages Published June 30, 2026 Update on GitHub Upvote 5 Sree Harsha Nelaturu deepmage121 evaleval Avijit Ghosh evij https://pulse-3k2.pages.dev/news/40e470c196f5 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/2RAgVrsNraVWtlmZ8cecdj/0c7ff8b5233b7eb2194c39db8e271a0a/vercel-services-og-dev-v5.png Run multiple frameworks in one project with Vercel Services You can now deploy multiple frontends and backends together within a single Vercel project. Vercel Services is now available , allowing you to deploy full stack apps with multiple frameworks on a shar https://pulse-3k2.pages.dev/news/e8e24979d89b 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/5X4foSIiuznsfFYCxDCCVm/a6c2c1ad392e3417bbf02393e986f61f/dockerfile-changelog-og.png Bring your Dockerfile to Vercel Functions Vercel Functions now support deploying HTTP servers from a Dockerfile or Containerfile , using Open Container Initiative (OCI) compatible images on Fluid compute. This makes it easier to bring existin https://pulse-3k2.pages.dev/news/301de6e597f8 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3teG3uJXOu3vOTM5PUsnur/922c15b17538d05859b7ba07c0478a96/introducing_vercel_container_registry_og_card.jpg Introducing VCR: Vercel Container Registry You can now push, pull, and manage container images directly on Vercel. Vercel Container Registry is an OCI-compliant image registry hosted on Vercel's infrastructure. It works with standard workflows https://pulse-3k2.pages.dev/news/9ec26e7c0f8e 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/657A8nWsfM7MPhmfPIJOjp/0f1f7fe6d96fa71f13c65472cbdbca72/vercel_sandbox_adds_support_for_custom_images_og_card.jpg Vercel Sandbox now support Custom Images Vercel Sandboxes now supports custom images. Launching in public beta today, images allow Sandboxes to start with your own custom root filesystem. Images are pulled from Vercel Container Registry , so https://pulse-3k2.pages.dev/news/f1f7d4f8001b 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/6q0IdzKwG7IjuMl4cLWzIy/7e4d7c42d2961b1432fc3909cb2c68d2/Rockset___SEO_card__1_.png?w=1600&h=900&fit=fill Core dump epidemiology: fixing an 18-year-old bug OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug. https://pulse-3k2.pages.dev/news/1380f8b2980e 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/38lhFWswSQd6xdOwRCNNKC/9d4006e436aba2c29c165b60f58e816a/image.png Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) now on AI Gateway Nano Banana 2 Lite from Google is now available on AI Gateway . This Flash-Lite-tier image model is built for fast, low-cost generation. It generates images alongside text in The cost is also lower th https://pulse-3k2.pages.dev/news/0b8dc2473cab 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/6ISCsbFZAwfE8rca32ZXSt/7958029f06d5bf872217476430f12549/GenebenchPro_Blog_SEO.png?w=1600&h=900&fit=fill Introducing GeneBench-Pro Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets. https://pulse-3k2.pages.dev/news/617f45738c65 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/52cfbwUnYDFSiv7g3Zs9jE/ccf49dcadd4ee534b51cbd43b4973918/GenebenchPro_LP_SEO.png?w=1600&h=900&fit=fill Inside Genebench-Pro June 30, 2026 Inside Genebench-Pro A closer look at the benchmark, its questions, and supporting materials. Case studies These 10 case studies showcase representative questions from GeneBench-Pro. Eac https://pulse-3k2.pages.dev/news/1962571b3319 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3QL3sh1TJhTTI5HyJ3xz65/c4f22db29c762cad66200662ce54213a/Vercel_x_Anthropic.jpeg Claude Sonnet 5 now available on Vercel AI Gateway Claude Sonnet 5 from Anthropic is now available on AI Gateway . Sonnet 5 improves on Sonnet 4.6 across coding and agentic work, reaching outcomes on many tasks that previously needed an Opus model, at https://pulse-3k2.pages.dev/news/64af372c66eb 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/RWwNnTYxTBurm77gbRuQo/47888f0493567f286ea8641b9f9600a4/vercel_private_blob_is_generally_available_og_card__1_.jpg Vercel Private Blob is now generally available Vercel Private Blob is now generally available for all plans. Store sensitive files like user-uploaded photos, invoices, and agent memory, and control exactly who can read them. Private stores, Signed https://pulse-3k2.pages.dev/news/153dc648283a 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/33PUd4G8ypY7qn1iUoG30p/087fd0d6ae6f3900d2d2a2187972ad32/new-vercel-agent.png An expanded Vercel Agent: chat, investigations, and approved actions, now in public beta Today, we're launching expanded capabilities for Vercel Agent in public beta. Vercel Agent now lives in your dashboard and can investigate production issues, answer questions about your projects, and https://pulse-3k2.pages.dev/news/db9e14baab0c 2026-07-02 monthly 0.7 https://vercel.com/api/dynamic-og?title=Vercel%20Agent%20has%20updated%20pricing&format=changelog Vercel Agent has updated pricing Vercel Agent pricing is changing. You no longer need to pre-load credits or manage a separate wallet for Vercel Agent. Instead of a $0.30 per-request fee, you now pay a Vercel Token Rate of $0.25 per https://pulse-3k2.pages.dev/news/cf20d7464c41 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/html-table.jpg HTML table extractor Tool: HTML table extractor Yet another in my growing collection of paste-conversion tools. This one accepts pasted rich text from browsers (with embedded HTML tables) and converts every detected table https://pulse-3k2.pages.dev/news/81d01026a254 2026-07-02 monthly 0.7 https://preview.redd.it/3l7mtxoc3bah1.png?width=140&height=27&auto=webp&s=8426b12f6ec1f44b193529124dee890e0642ad25 Loss functions in Instance Representation Learning [R] In Wu et. al , the MLE objective is computationally infeasible due to the high number of images in the dataset. Non-parametric Softmax Negative Log-Likelihood With large n, the denominator in (2) is h https://pulse-3k2.pages.dev/news/23144e1e3e5a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b39d4620756 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/744803c927bd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ced01e8ff82 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0c22bcce83de 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Screenshot-2026-06-29-at-4.36.13-PM-1152x648.png South Korea to spend $1T on more memory chip production and humanoid robots South Korea targets physical AI lead and commercial humanoid robots by 2028. https://pulse-3k2.pages.dev/news/a52ad2053c3e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e21df0133831 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/gemini-app-GettyImages-2276204472.jpg?w=1024 Gemini’s personalized AI image generation is now free for US users Google is expanding Gemini’s personalized AI image generation to eligible free users in the U.S., allowing the chatbot to create images based on your interests and data from connected Google apps. https://pulse-3k2.pages.dev/news/379d41fbcd1b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b1f99507571 2026-07-02 monthly 0.7 https://preview.redd.it/8oy1xmcu0aah1.jpeg?width=640&crop=smart&auto=webp&s=276b24e3aab586eb28b118521d86dcd10a1f2f35 on Dario’s statement   submitted by   /u/turtle-toaster [link]   [comments] https://pulse-3k2.pages.dev/news/526258c3c27f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/07369c99ad8d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/60687e797922 2026-07-02 monthly 0.7 https://preview.redd.it/cyfcwp5xr9ah1.jpeg?width=640&crop=smart&auto=webp&s=badbc77ec80cf77defb9a80f8616df693ecfe80a It’s time, Sam, it’s time. I mean….. I’m no CEO…. but it seems like this would be the absolute perfect time to drop a super powerful GPT-OSS-2 to throw a big ol’ wet blanket on Anthropic’s IPO. It doesn’t need to be like fronti https://pulse-3k2.pages.dev/news/e67ec1cb4de6 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-music-tech-showcase.jpg?itok=viJf9zsW Inaugural MIT Music Technology Research Showcase celebrates work of new graduate program’s initial students Associate Professor Anna Huang delivers the keynote address, “In Search of Human-AI Resonance,” to a capacity crowd. https://pulse-3k2.pages.dev/news/8276d1ae4074 2026-07-02 monthly 0.7 https://home.cern/wp-content/uploads/2026/06/PR-LS3-1.jpeg CERN bids farewell to the LHC and enters Long Shutdown 3 https://www.nikhef.nl/en/news/final-run-for-the-current-lhc-... Comments URL: https://news.ycombinator.com/item?id=48723484 Points: 231 # Comments: 68 https://pulse-3k2.pages.dev/news/7c52d573c4d7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6779f9ebbde0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4aa6b813bdb8 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/tab-shame.jpg Count the number of Safari tabs Tiniest TIL, using AppleScript to count the number of open browser tabs in Safari: osascript -e 'tell application "Safari" to count tabs of every window' Tags: safari , til , applescript https://pulse-3k2.pages.dev/news/3e001d29bcae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/335c43ad3837 2026-07-02 monthly 0.7 https://preview.redd.it/yew7d0qpi9ah1.png?width=140&height=83&auto=webp&s=d11f98dbc1822df26c3bde4742552ebe36acf380 Qwen3-tts.cpp + Compose Desktop GUI I improved my qwen3-tts.cpp implementation to be about 5x realtime on my RTX 5080. It is GGML based, so it should compile and run anywhere - however I only tested it with CPU & CUDA under Windows & Li https://pulse-3k2.pages.dev/news/cb657bf0e365 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2278736523.jpeg?resize=1200,798 Anthropic and Gov. Newsom forge deal allowing California government to use Claude at half price As Anthropic forges a closer relationship with the state of California, the federal government has made an enemy out of the OpenAI rival. https://pulse-3k2.pages.dev/news/1ae0dbb27415 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/05/GettyImages-455242307_8b18ff.jpg?resize=1200,800 South Korean tech giants commit over $550B to ease ‘ RAMageddon’ The world's two largest memory chip companies vow to build more memory lab fabs as South Korea positions itself as an AI tech powerhouse country. https://pulse-3k2.pages.dev/news/9cc3b14e3b9c 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/638e39b249de7ae552d977b5/AnOX0pzQm-Hep_CLFOVM7.png DiScoFormer: One transformer for density and score, across distributions Back to Articles a]:hidden"> DiScoFormer: One transformer for density and score, across distributions Enterprise Article Published June 29, 2026 Upvote 1 Kyle Wiggers Ai2Comms allenai 📄 Tech report: https://pulse-3k2.pages.dev/news/9058bcd27a24 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/146616c6fb5f 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT%20SA%2BP-Beyond-data-driven-aesthetics.jpg?itok=5dJ8xNtJ 3 Questions: Beyond data-driven aesthetics In a new Keller Gallery exhibition, Alexandros Haridis SM ’17, PhD ’22 traces centuries of ideas about aesthetic judgment and explores how design can make complex computational systems visible. https://pulse-3k2.pages.dev/news/0b9d6c4188a8 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/ARENA_3Founders.jpg?resize=1200,801 Arena, the AI leaderboard everyone uses, is now a $100M business The startup, which runs a popular free AI leaderboard, launched its commercial service just last September. https://pulse-3k2.pages.dev/news/b977004676c9 2026-07-02 monthly 0.7 https://preview.redd.it/e7bwzl2899ah1.png?width=640&crop=smart&auto=webp&s=de8807b84745997d32bfa1ff58b55580f3a0aac4 Amodei: "Open Source Models Will Eat Your Children"   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/d9f45b9f5a56 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/e0c26e1e763821dfbebcc1436ed185b0a3450d6c541734d45df3b0e4cc71b733/deepreinforce-ai/Ornith-1 Ornith-1.0: self-improving open-source models for agentic coding Article URL: https://github.com/deepreinforce-ai/Ornith-1 Comments URL: https://news.ycombinator.com/item?id=48722052 Points: 215 # Comments: 39 https://pulse-3k2.pages.dev/news/ce269f908787 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/36a2cd0721c4 2026-07-02 monthly 0.7 https://quesma.com/_astro/thermal_master_p3_macbook.DJG2GL38.jpg Qwen 3.6 27B is the sweet spot for local development Article URL: https://quesma.com/blog/qwen-36-is-awesome/ Comments URL: https://news.ycombinator.com/item?id=48721903 Points: 204 # Comments: 133 https://pulse-3k2.pages.dev/news/0a742ed714ec 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/12/Anysphere-Cursor-Michael-Truell-.png?resize=1200,745 Cursor now has a mobile app for guiding your coding agent on the go Cursor has launched a new mobile app for remote oversight over coding agents. https://pulse-3k2.pages.dev/news/cff6975a000a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5de5d065c472 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a8477f5e7ebd 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/tidal-brand.jpg?w=720 TIDAL cracks down on AI music by cutting off monetization TIDAL's new policy will prevent AI-generated music from making money on its service. https://pulse-3k2.pages.dev/news/c2e6f888c4a1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9c756a7da763 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ee15d999c79 2026-07-02 monthly 0.7 https://preview.redd.it/kr4u22yfx8ah1.png?width=140&height=83&auto=webp&s=784c46c82400e669571b4d8a7dcdc997ad0fba57 I'm trying to implement CALM paper, and I have some questions. [P] Hello, I'm trying to implement the Pocket TTS by kyutai-labs represented by this paper . Since they have didn't released the training/fine-tuning code. I'm trying to implement it on my own for learnin https://pulse-3k2.pages.dev/news/8edc68a0b3d0 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2024/ornith-1-pelican.png Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding Ornith-1.0: Self-Scaffolding LLMs for Agentic Coding This is an interesting new open weights (MIT licensed) model, the first model release from DeepReinforce. [...] with variants including 9B Dense, 3 https://pulse-3k2.pages.dev/news/56c61603de7d 2026-07-02 monthly 0.7 https://external-preview.redd.it/StXdt3G7FBnml9MPC0M6epVD8gP4kGC0qfqjYNnD78M.jpeg?width=640&crop=smart&auto=webp&s=abfda32cc084fe3a429ee73ab11e0d9488d793f0 Samsung, SK hynix, Micron Sued in US Over Memory Price Fixing   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/4e7e8684ff2b 2026-07-02 monthly 0.7 https://torrentfreak.com/images/wall-feat.jpg European ISPs Want Rightsholders Held Accountable for Overblocking Damage Article URL: https://torrentfreak.com/european-isps-want-rightsholders-held-accountable-for-overblocking-damage/ Comments URL: https://news.ycombinator.com/item?id=48721072 Points: 333 # Comments: 87 https://pulse-3k2.pages.dev/news/e97d201c9897 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fe2c3851345f 2026-07-02 monthly 0.7 https://i.guim.co.uk/img/media/ddb87e813bdb11401cf5abac3654ec9ff5b15d85/328_0_5001_4002/master/5001.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&precrop=40:21,offset-x50,offset-y0&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=4dde1080bea475527e46e854344cca12 US Supreme Court rules geofence warrants require constitutional protections Article URL: https://www.theguardian.com/us-news/2026/jun/29/supreme-court-geofence-warrants-case-decision Comments URL: https://news.ycombinator.com/item?id=48720924 Points: 204 # Comments: 77 https://pulse-3k2.pages.dev/news/d1e2d346b633 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/AI-Factory-Secure.webp How to Govern Autonomous Agents in Enterprise AI Factories AI agents are quickly moving beyond chat. They inspect code, run tests, read documents, search knowledge bases, query internal systems, and operate for hours on... https://pulse-3k2.pages.dev/news/424d44ce7af4 2026-07-02 monthly 0.7 https://probablymarcus.com/images/2026-06-28-outer-shell.png A native graphical shell for SSH Article URL: https://probablymarcus.com/blocks/2026/06/28/native-graphical-shell-for-SSH.html Comments URL: https://news.ycombinator.com/item?id=48720758 Points: 222 # Comments: 103 https://pulse-3k2.pages.dev/news/d7a4b9113144 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/422ecd13d892 2026-07-02 monthly 0.7 https://preview.redd.it/i9o1vycvm8ah1.jpeg?width=640&crop=smart&auto=webp&s=4d03652e7169ca0225518bd13fd256d20e8a3447 Effect of GLM 5.2 !! All hail Z. Ai   submitted by   /u/Independent-Wind4462 [link]   [comments] https://pulse-3k2.pages.dev/news/bb7c41984ff9 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!wdb9!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F244083be-dc2b-4400-806c-00fdbdb5ff34_620x525.png WSJ Article Claiming China Has Matched Anthropic Is Obvious Nonsense The Wall Street Journal printed an outright false headline and heavily misleading story claiming this, which of course was uncritically amplified by the usual suspects. https://pulse-3k2.pages.dev/news/949a088fea0a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f1d5a402ae4e 2026-07-02 monthly 0.7 https://humphri.es/blog/WATaBoy/wataboy-screenshot.png WATaBoy: JIT-Ing Game Boy Instructions to WASM Beats a Native Interpreter Article URL: https://humphri.es/blog/WATaBoy/ Comments URL: https://news.ycombinator.com/item?id=48720190 Points: 202 # Comments: 33 https://pulse-3k2.pages.dev/news/d75ad20d015b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/599f284a0c72 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7401eebcf5f3 2026-07-02 monthly 0.7 https://wp.technologyreview.com/wp-content/uploads/2026/06/Microsoft-Report-2026-cover.png Agent confidence on the technical frontier Enterprise investment in AI is booming. Gartner is calling 2026 an “inflection year” for organizations to align their AI projects with strategic business objectives. As the pressure to prove ROI mount https://pulse-3k2.pages.dev/news/86125d3229a6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/646cca419121 2026-07-02 monthly 0.7 https://ml.globenewswire.com/Resource/Download/61b71a82-4d43-4858-bd6f-d653afb3b35d Rocketlab acquires Iridium Article URL: https://investors.rocketlabcorp.com/news-releases/news-release-details/rocket-lab-acquire-iridium-historic-deal-creating-fully Comments URL: https://news.ycombinator.com/item?id=48719485 https://pulse-3k2.pages.dev/news/ef9ac98c9d79 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/proception-prohand-proglove-1.jpg?resize=1200,800 Robot hand company settles Tesla trade secret suit and announces $11M raise Jay Li doesn’t recommend getting sued by Tesla if you’re trying to get a startup off the ground. But he does think his company, Proception, might be better off for having endured the exper https://pulse-3k2.pages.dev/news/fddb578836fc 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!_eak!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8de64590-7eef-4ba0-9ee1-b31df5617272_1080x1252.webp Off for adventures Leaving you with a couple laughs https://pulse-3k2.pages.dev/news/a3de76bc503c 2026-07-02 monthly 0.7 https://preview.redd.it/48fb2vle78ah1.png?width=640&crop=smart&auto=webp&s=d1cb041c8b8140b50871b666b86beb2321e6414f Anyone else end up building a web access layer for local AI agents? I've been running local models for most of my experiments, and I kept running into the same issue. The model lives locally, but everything it needs to interact with doesn't. Every new agent ended up w https://pulse-3k2.pages.dev/news/20a15dd44638 2026-07-02 monthly 0.7 https://preview.redd.it/6j02yvpc68ah1.png?width=140&height=140&auto=webp&s=66a6c09f2fc8fe3e1486371f439011685ef5d85e Mellum2 local deployments Hey local community, I work at JetBrains with the team that trained Mellum2 models — 12B-2.5A LLMs. Those models are trained completely from scratch, targeting fast inference: our primary goal were H1 https://pulse-3k2.pages.dev/news/0c822d052e04 2026-07-02 monthly 0.7 https://external-preview.redd.it/rpz7XRvvl4-yX8tMXzyfnMqpwkzXT4I2njPuoYdvEls.jpeg?width=640&crop=smart&auto=webp&s=daed54894042ee92a913b7b393b46b254b2fc3c9 NASA testing local LLM inference for future space missions Red Hat published a blog post last week about an initiative I supported with NASA researchers at Johnson Space Center building a medical AI assistant. It's called the Crew Medical Officer Digital Assi https://pulse-3k2.pages.dev/news/98e8303a1630 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0235cebe80ea 2026-07-02 monthly 0.7 https://fergusfinn.com/_astro/cover.jG4AhdiB.jpg What happens when you run a CUDA kernel? Article URL: https://fergusfinn.com/blog/what-happens-when-you-run-a-gpu-kernel/ Comments URL: https://news.ycombinator.com/item?id=48718863 Points: 215 # Comments: 28 https://pulse-3k2.pages.dev/news/989304dace81 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a566ddf4df08 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!3yYS!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd6d17996-2bef-40a4-abe3-be72a0e8a227_258x258.png Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era What eras bookend our interregnum? https://pulse-3k2.pages.dev/news/b1cc8f230329 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/OmenAI-CEO.Founder_Zach-Laberge.jpg?resize=1200,800 Omen AI’s plan to optimize data centers is all wet Omen AI raised a $31 million Series A to monitor chip coolant and stop bacterial outbreaks in data centers. https://pulse-3k2.pages.dev/news/4c74b6e38e4d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dd87435425e9 2026-07-02 monthly 0.7 https://preview.redd.it/kkhxrsx1u7ah1.jpeg?width=640&crop=smart&auto=webp&s=330f9fc8481f44bf4ccebca47199ce41db06e5d2 Kimi and GLM on frontier code   submitted by   /u/Charuru [link]   [comments] https://pulse-3k2.pages.dev/news/9e46a9f8da3a 2026-07-02 monthly 0.7 https://preview.redd.it/32qkgvlpo7ah1.png?width=640&crop=smart&auto=webp&s=475eb2a25a2be0439b195cde6e8bba659234e8a5 CPU-only GLM 5.2: Epyc and 512GB RAM This is just a preview of some content I'm putting together to share with you all. I have a server I've put together and I'm testing the 4-bit version of GLM 5.2 (GLM-5.2-UD-Q4_K_XL). This is an Epyc https://pulse-3k2.pages.dev/news/5c9a24263b97 2026-07-02 monthly 0.7 https://preview.redd.it/5jyw5p59o7ah1.jpeg?width=640&crop=smart&auto=webp&s=a2554aa322b2413eafae0e07fc88d772b0f9b74c Any good uses for a 192 GB DDR3 Server in the LLM world? I've been gifted this old IBM System X V4 with a dual Xeon E5-2640 [6c12t @ 2.7 GHz] and a whooping 192 GB of DDR3 1666 ECC RAM There's a gen 2 x16 PCi-E port in there as well so it can take a single https://pulse-3k2.pages.dev/news/976dc75efd64 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f6736f8c421d 2026-07-02 monthly 0.7 https://wimg.sedaily.com/news/cms/2026/06/29/rcv.YNA.20260622.PRU20260622334401009_P1.jpg Samsung, SK Hynix, Micron Sued in US over Memory Price Fixing Article URL: https://en.sedaily.com/international/2026/06/29/samsung-sk-hynix-micron-sued-in-us-over-memory-price-fixing Comments URL: https://news.ycombinator.com/item?id=48718102 Points: 225 # Comme https://pulse-3k2.pages.dev/news/ea72bde5c74a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3be6130d5ac8 2026-07-02 monthly 0.7 https://preview.redd.it/dm5l0qn8k7ah1.png?width=140&height=101&auto=webp&s=edcfa62784144f06bb1e98a79c007730914c4fbf Deepseek V4 Official Launch to be released mid-July with API price changes Is this the official release for deepseek? I hope it has huge improvements https://preview.redd.it/dm5l0qn8k7ah1.png?width=694&format=png&auto=webp&s=12eadfd0a52c0f1a65bcd685f2cdbb29aff457be   sub https://pulse-3k2.pages.dev/news/982514404b99 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a9f18bb266e 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/5EPfHjKljpHLiMIM8cuM7Z/f543e47c97ad1b864a68165596b1d050/vercel_functions_package_size_limit_increased_to_5_og_card.jpg Vercel Functions can now be up to 5GB in package size Vercel Functions now support Node.js and Python deployments up to 5GB in package size on Fluid compute , a 20x increase over the previous 250MB limit. Large Functions support is in public beta . This https://pulse-3k2.pages.dev/news/d0bc898237b9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c9c5aaebd43c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7ef4044fbaae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/09f32da3913a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/465b9954fc00 2026-07-02 monthly 0.7 https://preview.redd.it/n7rwh262b7ah1.jpg?width=140&height=134&auto=webp&s=cbe6d48a12558933f5862ca1a2fc02f0ec4cc3b2 DeepSeek V4 official version will be launch on mid-July https://preview.redd.it/n7rwh262b7ah1.jpg?width=1024&format=pjpg&auto=webp&s=33d775b456843cd2dbd458de89384a6a7d6d87d1 Source: Email sent from deepseek (email only available for chinese user) used gpt https://pulse-3k2.pages.dev/news/09254fba146c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/489246eec79d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/de443dc07f28 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7ed0d7d4c429 2026-07-02 monthly 0.7 https://storage.ghost.io/c/39/f8/39f85cc7-8637-40fc-a57c-f45754453717/content/images/2026/06/Screenshot-2022-09-19-at-19.32.45.png Pollen (CEO Negus-Fancey, CTO Wright) tried to remove article, and Google helped Article URL: https://blog.pragmaticengineer.com/pollen-tried-to-remove-my-article-about-callum-negus-fancey-and-google-is-assisting-to-it/ Comments URL: https://news.ycombinator.com/item?id=48716902 P https://pulse-3k2.pages.dev/news/5b2d39fda261 2026-07-02 monthly 0.7 https://external-preview.redd.it/KzjOtf-JmE92Ppj4VEKlKR3O60pNsHkj2wkwP3BpfiU.png?width=640&crop=smart&auto=webp&s=6f90792324fb1c9a7de8fa1d6883ad7329057f34 DeepSeek V4 by am17an · Pull Request #24162 · ggml-org/llama.cpp now you can run DeepSeek V4 locally   submitted by   /u/jacek2023 [link]   [comments] https://pulse-3k2.pages.dev/news/d44dcf687c76 2026-07-02 monthly 0.7 https://preview.redd.it/yx86ia6rr6ah1.png?width=140&height=80&auto=webp&s=50a7c238e71f794f9908533538785f72e88913a9 I made a quiz that tells you which LLM you align with most, based on personality and values research across 15 models [R] Link: https://ai-values.com/ There is a small 15 question quiz you can take before taking the full big quiz. The results of the big quiz update in realtime as you go so you dont have to actually go th https://pulse-3k2.pages.dev/news/e688eb33a0ff 2026-07-02 monthly 0.7 https://preview.redd.it/xz4zwgclk6ah1.gif?frame=1&width=140&height=105&auto=webp&s=cc43ba7625c6f5abbe630d887c718d004dcd85fe GLM 5.2 Q1_S vs Qwen 27B Q8 TL;DR; GLM-5.2 Q1_S beats Qwen 3.6 27B Q8, both run at KV Q8 edit: GLM run a K & V Q8, Qwen run with KV cache at full FP16., with preserve thinking on. Disclaimer : This is a hobby/amateur comparison https://pulse-3k2.pages.dev/news/67ae81846a83 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/4DbLCzu9sRRxsph8jwvKfO/e310d724758a933eadef82197578c9de/query_speed_insights_from_vercel_cli_og_card__1_.jpg Query Speed Insights from the Vercel CLI You can now query Speed Insights datapoints directly through the Vercel CLI. Using the vercel metrics command, you can pull core Web Vitals (LCP, INP, CLS) and other page performance metrics (FCP, TTF https://pulse-3k2.pages.dev/news/9cbece762872 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb13e39089a8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cbcdff7b34b2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/700607188cd5 2026-07-02 monthly 0.7 https://preview.redd.it/rbqi05lrb6ah1.png?width=140&height=78&auto=webp&s=db3f2b5960d42a91c142fa74609460af1a36e5f6 MiCA is now part of Hugging Face PEFT Glad to share that MiCA, short for Minor Component Adaptation, has now been merged into the HuggingFace PEFT library. It is not yet included in the latest PyPI release, but you can already install it https://pulse-3k2.pages.dev/news/247324a6d137 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/2p06ZCpbXiQhTAbOY9J6OH/2f69f47125b18f9ced9c6000a0bcee0b/mapping-europes-ai-workforce-opportunity-seo-card.png?w=1600&h=900&fit=fill Mapping Europe’s AI Workforce Opportunity A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes. https://pulse-3k2.pages.dev/news/58d50bb62171 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aaaf801ad9ec 2026-07-02 monthly 0.7 https://preview.redd.it/3isx1kla66ah1.jpg?width=140&height=140&crop=1:1,smart&auto=webp&s=f21afc405b1dbf30f8ef4c11cc0c94fc328129f0 AMD MI210 64GB vs DCU K100 64GB On the Chinese eBay there is a many DCU K100 64 GB GPU available for a very attractive price, between 6000 RMB and 19 000 (air or water cooled versions, new or second hands), and 15 000 to 20 000 for https://pulse-3k2.pages.dev/news/bd199218dc9a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bf3b6a83bb40 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8278b07880ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ee13096bd86 2026-07-02 monthly 0.7 https://external-preview.redd.it/dWhodDhrcXpkNWFoMW2zcNKJKaYmd4hcO_4bU16QXkerOLroG8cseq0z1dCj.png?width=640&crop=smart&auto=webp&s=bb8a658455fc1426ca37ee5ee26f7666304e92a2 Update: First Manual Results from Testing Procedural Skill Transfer in Small Models Yesterday I posted an idea for testing whether a large model can transfer some of its procedural skill to a smaller model without fine-tuning. The short version of the idea was this: Small models are https://pulse-3k2.pages.dev/news/98fb5ffe03ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OverFlowLight: Real-Time Gridlock Prevention and Traffic Signal Optimization for Urban Intersections arXiv:2606.27381v1 Announce Type: new Abstract: Queue overflow, a severe consequence of urban traffic congestion, occurs when vehicle queues exceed intersection capacity, obstructing upstream traffic https://pulse-3k2.pages.dev/news/bfe20a527ea3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RANSAC Scoring Done Right arXiv:2606.27385v1 Announce Type: new Abstract: The most widely used RANSAC variants score candidate models by counting inliers or summing per-point scores that saturate beyond a residual threshold. E https://pulse-3k2.pages.dev/news/537372ffbb2b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Unified Zero-Shot Time Series Forecasting: A Darts Foundation arXiv:2606.27438v1 Announce Type: new Abstract: Since its initial release in 2020, Darts has become a widely used open-source Python library for time series analysis. A series of foundation models hav https://pulse-3k2.pages.dev/news/418b7204fde6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PairSAE: Mechanistic Interpretability from Pair Representations in Protein Co-Folding arXiv:2606.27440v1 Announce Type: new Abstract: Foundation models for structural biology have achieved remarkable performance in predicting biomolecular structure and show promise for the design of pr https://pulse-3k2.pages.dev/news/b6981c5babd8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning in Markovian bandits with non-observable states and constrained decision epochs arXiv:2606.27448v1 Announce Type: new Abstract: This paper studies the problem of regret minimization in Markovian bandits with \emph{non-observable states} and possibly \emph{constrained} decision ep https://pulse-3k2.pages.dev/news/9d46f24d152d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prism Transformer: Progressive Head Schedules for Hierarchical Attention Processing arXiv:2606.27449v1 Announce Type: new Abstract: Multi-head attention conventionally partitions the hidden dimension equally across all heads at every layer, enforcing an identical representational sub https://pulse-3k2.pages.dev/news/89548c9c7977 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Operator Learning for Cubic Nonlinear Schr\"odinger Equation on Periodic Domains arXiv:2606.27459v1 Announce Type: new Abstract: We consider the cubic nonlinear Schr\"odinger (NLS) equation on two-dimensional flat tori with varying aspect ratios. In this formulation, the choice of https://pulse-3k2.pages.dev/news/be63cb36b067 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Curse of Multiple Mediators: Hidden Interaction Effects in Activation Patching arXiv:2606.27510v1 Announce Type: cross Abstract: Activation patching is the primary tool in mechanistic interpretability. It attributes causal responsibility for a model behavior to each of its indiv https://pulse-3k2.pages.dev/news/dcaf8c055995 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Boundary condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage arXiv:2606.27515v1 Announce Type: new Abstract: Accurate prediction of bottom-hole pressure (BHP) and CO2 plume migration is essential for safe geological carbon storage, yet practical simulations oft https://pulse-3k2.pages.dev/news/9818aeddee30 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Productionized Fairness Measurement Under Privacy Constraints arXiv:2606.27558v1 Announce Type: new Abstract: Fairness measurements in the form of disaggregated evaluations often rely on demographic signals that are legally constrained or culturally sensitive. R https://pulse-3k2.pages.dev/news/628a69ac0a22 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantum Generative Diffusion Model for Real-World Time Series arXiv:2606.27561v1 Announce Type: new Abstract: Generative models have achieved remarkable success in data synthesis, though recent advances driven by increasing model scale have introduced challenges https://pulse-3k2.pages.dev/news/a16ae7057fad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png hia-gat: A Heterogeneous Interaction-Aware Graph Attention Network For Frame-Level Traffic Conflict Risk Prediction On Freeways arXiv:2606.27577v1 Announce Type: new Abstract: This paper formulates frame-level freeway risk assessment as a multi-agent scene graph-level binary classification problem, where each video or trajecto https://pulse-3k2.pages.dev/news/c24b8f6cc919 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PEBS: Per-rater Empirical-Bayes Shrinkage for RLHF Reward-Model Calibration arXiv:2606.27578v1 Announce Type: new Abstract: Reward models for Reinforcement Learning from Human Feedback (RLHF) pool preferences across thousands of annotators and fit one global affine calibrator https://pulse-3k2.pages.dev/news/e9d440b9fe41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHF arXiv:2606.27580v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) in production does not always have a synchronous reward signal. Code-execution verifiers, slow judge e https://pulse-3k2.pages.dev/news/7756474c3914 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Global Explanations for Multivariate Time Series Forecasting Models via $K$-Order Markov Approximations arXiv:2606.27599v1 Announce Type: new Abstract: While many explainable AI (XAI) methods have been proposed, most are not designed for time-series forecasting models and often rely on the implicit assu https://pulse-3k2.pages.dev/news/01b4bcf6ef38 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Training Observable Control Policies to Expose Agent State Through Actions arXiv:2606.27609v1 Announce Type: new Abstract: Physical or operational constraints often impose communications limitations on autonomous agents. Such limitations complicate monitoring or multiagent c https://pulse-3k2.pages.dev/news/e67c44c85f6c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png COOPA: A Modular LLM Agent Architecture for Operations Research Problems arXiv:2606.27611v1 Announce Type: new Abstract: Operations Research (OR) provides a rigorous framework for high-stakes decision-making, but effective OR modeling requires substantial domain knowledge, https://pulse-3k2.pages.dev/news/40bacf427a29 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FoggyTrust: Robust Federated Learning with Hierarchical Trust Networks arXiv:2606.27622v1 Announce Type: new Abstract: Byzantine-robust federated learning seeks to protect distributed model training from malicious or corrupted clients without requiring access to their pr https://pulse-3k2.pages.dev/news/c97b4ad22771 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HybridCodec: Modeling Discrete and Continuous Representations for Efficient Speech Language Models arXiv:2606.27627v1 Announce Type: new Abstract: Discrete audio representations have become increasingly popular for building multimodal text-audio systems and integrating audio capabilities into Large https://pulse-3k2.pages.dev/news/8d7076860d85 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis arXiv:2606.27634v1 Announce Type: new Abstract: Small Language Models (SLMs) are increasingly being considered for deployment on edge devices such as laptops, enabling private, low-latency, and locall https://pulse-3k2.pages.dev/news/875b17d12ea6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TeRoR: Decoupled Temporal Rotation with Relational Circular Region for Temporal Knowledge Graph Embedding arXiv:2606.27651v1 Announce Type: new Abstract: In recent years, with the emergence of Temporal Knowledge Graphs (TKGs), research on learning entity and relation representations in TKGs has attracted https://pulse-3k2.pages.dev/news/15e46ab11805 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are Time-Series Foundation Models Ready for E-Nose Data? An Empirical Assessment of Their Embeddings arXiv:2606.27672v1 Announce Type: new Abstract: Inspired by advances in natural language processing and computer vision, "time-series foundation models" (TSFMs) have recently been introduced with the https://pulse-3k2.pages.dev/news/2dd02a89c045 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Textual Belief States for World Models: Identifiable Representation Learning Under Strict Mediation arXiv:2606.27681v1 Announce Type: cross Abstract: World models in partially observed environments rely on latent representations that summarize interaction history, but in many modern LLM-based archit https://pulse-3k2.pages.dev/news/4bd52e0ffef9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CBD: API-Only LLM Black-Box Unlearning through Controlled Behavioral Divergence arXiv:2606.27683v1 Announce Type: new Abstract: Edge devices increasingly invoke large language models (LLMs) through API services for context aware edge intelligence, while edge generated data may be https://pulse-3k2.pages.dev/news/ee08daed7a98 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deployment-Side Adaptiveness in Multi-Horizon Volatility Forecasting arXiv:2606.27688v1 Announce Type: new Abstract: In financial forecasting, predictive performance depends not only on which model is trained, but also on how the trained model is deployed. We study thi https://pulse-3k2.pages.dev/news/60a16e09bed7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Halt Fast! Early Stopping for Certified Robustness arXiv:2606.27694v1 Announce Type: new Abstract: Randomized Smoothing (RS) provides rigorous robustness guarantees for neural networks without architectural constraints, yet its adoption is limited by https://pulse-3k2.pages.dev/news/71c134b75de6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Class-frequency Guided Noise Schedule for Diffusion Models arXiv:2606.27696v1 Announce Type: new Abstract: In this paper, we are the first to examine the correlations between class frequency and the multi-scale noise schedule within diffusion models. For scor https://pulse-3k2.pages.dev/news/4f7d784bbe0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Was That Again? Certified Robustness for Automatic Speech Recognition arXiv:2606.27698v1 Announce Type: new Abstract: Automatic Speech Recognition systems are notoriously both sensitive to adversarial and benign perturbations. While this has been repeatedly demonstrated https://pulse-3k2.pages.dev/news/f22cb40c0200 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Simulacrum: Decision-Theoretic Pretraining for Near-Optimal Time-Series Forecasting and Inference arXiv:2606.27711v1 Announce Type: new Abstract: We introduce a neural network-based framework for learning time series estimators through a process we term decision-theoretic pretraining. Analysts spe https://pulse-3k2.pages.dev/news/1a8646eb8e44 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Aurora: A Leverage-Aware Spectral Optimizer arXiv:2606.27715v1 Announce Type: new Abstract: We show that for tall matrix parameters, like projection matrices in the MLP layers, the Muon update can have row norms that are arbitrarily non-uniform https://pulse-3k2.pages.dev/news/a1465f6fcfbc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Reason with Curriculum II: Compositional Generalization arXiv:2606.27721v1 Announce Type: new Abstract: Compositional generalization, the ability to solve complex problems by combining solutions to simpler sub-problems, is a fundamental capability of both https://pulse-3k2.pages.dev/news/29b6ec3c83b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reduction of Probabilistic Chemical Reaction Networks arXiv:2606.27737v1 Announce Type: new Abstract: Programming adaptive behaviors at the cellular level is a long-standing goal that raises the question of how probabilistic computation can be implemente https://pulse-3k2.pages.dev/news/cf377fa0bc0f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Weakest Link Tells It All: Outcome-Supervised Process Reward Modeling via Learnable Credit Assignment arXiv:2606.27739v1 Announce Type: new Abstract: Process reward models (PRMs) enhance the reasoning capabilities of large language models (LLMs) by providing fine-grained feedback, yet training PRMs ty https://pulse-3k2.pages.dev/news/38f9c4d8b243 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Flexformer: Flexible Linear Transformer with Learnable Attention Kernel arXiv:2606.27748v1 Announce Type: new Abstract: Transformer models rely on attention mechanism to capture long-range dependencies but suffer from quadratic complexity, limiting their scalability to lo https://pulse-3k2.pages.dev/news/4e2c5aade72e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PerturbCellRL: Verifier-Guided Reinforcement Learning for Single-Cell Perturbation Prediction arXiv:2606.27752v1 Announce Type: new Abstract: Single-cell perturbation models can reduce costly wet-lab screening by predicting how cells respond transcriptionally to interventions. While recent gen https://pulse-3k2.pages.dev/news/cfd81688e241 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks arXiv:2606.27759v1 Announce Type: new Abstract: Training binary neural networks (BNNs) from scratch is dominated by the straight-through estimator (STE), whose forward/backward mismatch produces sever https://pulse-3k2.pages.dev/news/af5b5cbbf7c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RS-Diffuser: Risk-Sensitive Diffusion Planning with Distributional Value Guidance arXiv:2606.27766v1 Announce Type: new Abstract: Offline reinforcement learning enables policy learning from fixed datasets without additional environment interaction, making it appealing for safety-cr https://pulse-3k2.pages.dev/news/9be506537073 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Difference of Convex Programming in the Wasserstein Space with Applications to MMD Optimization arXiv:2606.27767v1 Announce Type: new Abstract: Optimizing functionals over the space of probability measures is now ubiquitous in machine learning. A widely used approach is to perform the optimizati https://pulse-3k2.pages.dev/news/dcef4ecb1e26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NormGuard: Reward-Preserving Norm Constraints in Flow-Matching Reinforcement Learning arXiv:2606.27771v1 Announce Type: new Abstract: Reinforcement learning (RL) post-training improves the reward alignment of flow-based generators, but often degrades perceptual quality in ways that are https://pulse-3k2.pages.dev/news/22aafbc552cf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Accelerating Hierarchical Sparse Predictive Coding with Hybrid Amortized Inference arXiv:2606.27802v1 Announce Type: new Abstract: Hierarchical predictive coding provides an interpretable framework for perception as error-driven inference in multi-layer generative models, while spar https://pulse-3k2.pages.dev/news/08a79a9e82ef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pepti-drift: Toxicity-Repulsive Drifting for Antigen-Conditioned Discrete Peptide Generation arXiv:2606.27824v1 Announce Type: new Abstract: Peptides are a promising therapeutic modality that combine the chemical tunability of small molecules with the target specificity of macromolecular ther https://pulse-3k2.pages.dev/news/cea0fec892f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png USAD: Uncertainty-aware Statistical Adversarial Detection arXiv:2606.27832v1 Announce Type: new Abstract: Statistical adversarial detection (SAD) treats detection as a two-sample test. Given a reference set of clean examples (CEs) and a batch of queries, pot https://pulse-3k2.pages.dev/news/3d97095c7217 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks arXiv:2606.27841v1 Announce Type: new Abstract: The widespread adoption of Artificial Intelligence (AI) has led to increasing concerns about energy consumption, yet there is a lack of standardized met https://pulse-3k2.pages.dev/news/5a747aec3ce1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Applicability of memorization indicators for early spotting of overfitting while recalibrating sEMG-decoders on low sample sizes arXiv:2606.27855v1 Announce Type: new Abstract: Deep learning models for surface electromyography (sEMG) can benefit substantially from subject-specific (re-)calibration, since no sufficiently large a https://pulse-3k2.pages.dev/news/b118ace7693c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GNBAN: Graph Neural Basis Attention Networks for Long-Horizon Forecasting over Large Entity Sets arXiv:2606.27863v1 Announce Type: new Abstract: Demand forecasting at the bottom of a retail hierarchy requires predicting tens of thousands of correlated long-horizon series across products, stores, https://pulse-3k2.pages.dev/news/46845bd069f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FlexMoE: One-for-All Nested Intra-Expert Pruning for MoE Language Models arXiv:2606.27866v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) language models scale model ability with sparsely activated experts, making this architecture a standard recipe for modern larg https://pulse-3k2.pages.dev/news/29696faabd9c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Comparison of Fusion Techniques for Multi-Modal Human Activity Recognition on the HARMES Dataset arXiv:2606.27886v1 Announce Type: new Abstract: Recent advances in Human Activity Recognition (HAR) from wearable sensors have shown that multi-modal deep learning models consistently outperform their https://pulse-3k2.pages.dev/news/2d377e577517 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TA-SparseMG: Trend-Aware Sparse Forecasting via Multi-Scale Gating for Long-Term Time Series arXiv:2606.27908v1 Announce Type: new Abstract: Long-term time series forecasting finds extensive applications in domains such as power demand, traffic flow, meteorological observation, and renewable https://pulse-3k2.pages.dev/news/23f05caefd22 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces arXiv:2606.27917v1 Announce Type: new Abstract: Contextual bandits with graph-structured arms arise in recommendation, citation retrieval, and social advertising, where arms connected on a graph tend https://pulse-3k2.pages.dev/news/a2951f7e8ebe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Two-Stage Fine-Tuning for Protein Sequence Generation with Targeted Amino-Acid Composition arXiv:2606.27939v1 Announce Type: new Abstract: Protein language models are standard priors for biological sequence generation, but steering them toward explicit distributional design targets remains https://pulse-3k2.pages.dev/news/8e058a17ba6d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RECAST: Model Reconstruction via Counterfactual-Aware Wasserstein Geometry under Limited Data arXiv:2606.27948v1 Announce Type: new Abstract: Counterfactual explanations (CFs) help understand machine learning models by identifying minimal input changes that would lead to alternative model outc https://pulse-3k2.pages.dev/news/647fe63bbd46 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data arXiv:2606.27984v1 Announce Type: new Abstract: Multimodal feature fusion can effectively capture complex patterns in real-world data by integrating complementary information from different modalities https://pulse-3k2.pages.dev/news/b994d318c500 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking on Tasks That Matter: Dataset Selection for Preserving Model Rankings arXiv:2606.27997v1 Announce Type: new Abstract: Benchmarks of machine learning models often include many datasets, making evaluation expensive. For efficiency, it is preferable to perform evaluations https://pulse-3k2.pages.dev/news/6abf3c4ed630 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators arXiv:2606.28065v1 Announce Type: new Abstract: Understanding model predictions is essential for physical applications, where outputs often inform safety-critical decisions, such as structural load as https://pulse-3k2.pages.dev/news/89c48506de31 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fair Classification with Efficient and Post-hoc Controllable Fairness-Accuracy Trade-off arXiv:2606.28097v1 Announce Type: new Abstract: Post-hoc controllability of fair machine learning models, the ability to control the trade-off between fairness and accuracy after training, is valuable https://pulse-3k2.pages.dev/news/252fc052c250 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning arXiv:2606.28117v1 Announce Type: new Abstract: Low-Rank Adaptation (LoRA) has become the standard tool for parameter-efficient fine-tuning of large pretrained models. When applied sequentially across https://pulse-3k2.pages.dev/news/ec1a7a1fd24e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dangerous Liaisons of Convex Learning and Non-Affine Aggregation arXiv:2606.28123v1 Announce Type: new Abstract: Last-iterate convergence and generalization guarantees in first-order convex learning hinge on the monotonicity of the update operator. While linear ave https://pulse-3k2.pages.dev/news/6c9ec79fd2ea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection arXiv:2606.28134v1 Announce Type: new Abstract: Graph-based fraud detection is essential for safeguarding large-scale transaction systems, where undetected anomalies may lead to substantial financial https://pulse-3k2.pages.dev/news/6a34579dbd9c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MixTTA: Low-Rank Cross-Channel Mixing for Reliable Test-Time Adaptation arXiv:2606.28142v1 Announce Type: new Abstract: Test-Time Adaptation (TTA) methods commonly update the affine parameters of normalization layers to adapt deployed models under distribution shifts. How https://pulse-3k2.pages.dev/news/7b33c299a495 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Autoencoder Architectures for Athlete Performance Scoring from Wearable Telemetry arXiv:2606.28145v1 Announce Type: new Abstract: Wearable devices produce large, high dimensional training logs for everyday runners, and interpretation rather than data collection is now the limiting https://pulse-3k2.pages.dev/news/6d211aa97f36 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Regularized Reward-Punishment Reinforcement Learning arXiv:2606.28152v1 Announce Type: new Abstract: We propose KL-Coupled Policy Regularization (KCPR), a policy coordination framework for Reward-Punishment Reinforcement Learning (RPRL). Based on KCPR, https://pulse-3k2.pages.dev/news/8589c7b08e82 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recovering Sharp Conductivity Features in the Finite-Data Calder\'on Problem with Physics-Informed Neural Networks arXiv:2606.28158v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have recently emerged as a promising framework for addressing the Calder\'on inverse problem from limited bound https://pulse-3k2.pages.dev/news/397ceab721a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CPAgents: Agentic Composite Phenotype Generation for Cardiac Disease Association arXiv:2606.28179v1 Announce Type: new Abstract: Identifying robust associations between cardiac imaging phenotypes and clinical diseases is fundamental to population-scale cardiovascular research and https://pulse-3k2.pages.dev/news/1f2eebbd5809 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior arXiv:2606.28182v1 Announce Type: new Abstract: Embodied agents operating in decentralized and partially observable environments have attracted growing attention in recent years. However, existing lar https://pulse-3k2.pages.dev/news/098edffc94b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Remittance Blueprint: Data-driven Intelligence for Sri Lanka arXiv:2606.28190v1 Announce Type: new Abstract: This study analyzes Sri Lankan migration and remittances over 32 years (1994-2025). Using a 384-month harmonized dataset, we apply exploratory data anal https://pulse-3k2.pages.dev/news/4ceb547531e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png COCOLogic-V2: Identifying Logical Inconsistencies via Truly Hard-Negatives arXiv:2606.28194v1 Announce Type: new Abstract: While interpretable models such as concept bottleneck models (CBMs) and program synthesis methods enable verification of model decisions, their evaluati https://pulse-3k2.pages.dev/news/4300809308a7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Value-Constrained Credit Assignment in Fully Delegated AI Cooperatives arXiv:2606.28217v1 Announce Type: new Abstract: We propose a framework for reward allocation in fully delegated AI cooperatives where humans are represented by agents that contribute data and particip https://pulse-3k2.pages.dev/news/850bd64ccfcd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyte arXiv:2606.28220v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving nonlinear partial differential equations (PDEs), including battery https://pulse-3k2.pages.dev/news/6133a3e59a00 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Estimation--Prediction Tradeoff in Causal Probabilistic Temporal Graphs arXiv:2606.28225v1 Announce Type: new Abstract: Temporal link prediction is usually evaluated by predictive performance on unseen edges, but in probabilistic temporal graphs this criterion can conflat https://pulse-3k2.pages.dev/news/680bf36641c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts arXiv:2606.28228v1 Announce Type: new Abstract: Causal representation learning for time series has developed strong identifiability results in discrete-time latent causal models, but identifiability i https://pulse-3k2.pages.dev/news/d688519519d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Width and Data Shape Generalization Scaling Laws in Quadratic Neural Networks arXiv:2606.28242v1 Announce Type: new Abstract: Understanding how performance scales jointly with model size and data is a central problem in modern machine learning. Existing theoretical works on sca https://pulse-3k2.pages.dev/news/afa0eee26ccf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Parameter Efficient Hybrid Transformer (PEHT) for Network Traffic Prediction via Dynamic Urban Congestion Integration arXiv:2606.28274v1 Announce Type: new Abstract: Accurate network traffic prediction is a critical element for efficient resource allocation in dynamic urban cellular networks. However, prediction rema https://pulse-3k2.pages.dev/news/4fa2e886da1c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Automating Scientific Review with Google's Paper Assistant Tool arXiv:2606.28277v1 Announce Type: cross Abstract: Artificial intelligence is driving a revolution in scientific discovery, accelerating everything from hypothesis generation to mathematical theorem pr https://pulse-3k2.pages.dev/news/18b077c0bf32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Democratic ICAI: Debating Our Way to Steering Principles from Preferences arXiv:2606.28294v1 Announce Type: new Abstract: Preference-based alignment often struggles to capture the reasoning that underlies human judgments. Many evaluations rely on multiple interacting criter https://pulse-3k2.pages.dev/news/2abba53edddc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VGB for Masked Diffusion Model: Efficient Test-time Scaling for Reward Satisfaction and Sample Editing arXiv:2606.28301v1 Announce Type: new Abstract: Inference-time scaling is a promising paradigm to improve generative models, especially when outputs must satisfy structural constraints or optimize dow https://pulse-3k2.pages.dev/news/f9d6edf8b589 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Elastic Time: Dynamic Frame Rate Bottlenecks for Neural Audio Coding arXiv:2606.27320v1 Announce Type: cross Abstract: Neural audio autoencoders have become a core component of compression, feature extraction, and generation. However, while existing systems support var https://pulse-3k2.pages.dev/news/c21b1014846f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs arXiv:2606.27378v1 Announce Type: new Abstract: We introduce an axiomatic evaluation framework for latent thought representations in LLMs, comprising metrics that are independent of downstream benchma https://pulse-3k2.pages.dev/news/d5271dd44de5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Position: The Term "Machine Unlearning" Is Overused in LLMs arXiv:2606.27379v1 Announce Type: new Abstract: Large language models increasingly face demands to "forget" training data, knowledge, or behaviors due to regulatory deletion obligations, copyright/lic https://pulse-3k2.pages.dev/news/f8c78aa8eb30 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework arXiv:2606.27394v1 Announce Type: cross Abstract: The exponential increase in scientific publications has driven the emergence of new trends. Accurate forecasting of these developments is essential fo https://pulse-3k2.pages.dev/news/075f6be6b8f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs arXiv:2606.27396v1 Announce Type: cross Abstract: Test-input generation for tensor kernels is folkloric. Most projects pick a representative shape and dtype, run a fixed-shape allclose-style check, an https://pulse-3k2.pages.dev/news/9408752ceb74 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recall Before Rerank: Benchmarking Deep Learning Models for Large-Scale Code-to-Code Retrieval arXiv:2606.27401v1 Announce Type: cross Abstract: Semantic code search and clone detection are essential for software development, maintenance, and reuse. This paper evaluates the effectiveness, effic https://pulse-3k2.pages.dev/news/a8d18a1d7dd0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Delayed Verification Destabilizes Multi-Agent LLM Belief: Instability Thresholds and Optimal Corrector Placement arXiv:2606.27409v1 Announce Type: cross Abstract: Multi-agent large language model (LLM) systems often rely on verifier and critic agents to suppress hallucinations, but verification is delayed. Durin https://pulse-3k2.pages.dev/news/ed224ee7fd25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DFM: Difference Feature Modeling with Text-Guided Gated Contrastive Loss for Remote Sensing Image Change Captioning arXiv:2606.27410v1 Announce Type: cross Abstract: The primary goal of Remote Sensing Image Change Captioning (RSICC) is to automatically generate descriptions of changes between remote sensing images https://pulse-3k2.pages.dev/news/29cc19b47f90 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Directed Graph Topology Inference via Graph Filter Identification arXiv:2606.27455v1 Announce Type: cross Abstract: We address the problem of inferring a directed network from nodal measurements generated by linear diffusion dynamics on the sought graph. Observation https://pulse-3k2.pages.dev/news/7d2da3c9ab10 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Decision Geometry of Covariance Estimation for the Global Minimum-Variance Portfolio under Heavy Tails arXiv:2606.27462v1 Announce Type: cross Abstract: The global minimum-variance portfolio (GMVP) is the canonical decision built from an estimated covariance matrix, yet covariance estimators are univer https://pulse-3k2.pages.dev/news/8e910f621684 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Supersede: Diagnosing and Training the Memory-Update Gap in LLM Agents arXiv:2606.27472v1 Announce Type: new Abstract: Large language model (LLM) agents operate over long, multi-session interactions in which facts change: a user moves, a price updates, a plan is revised. https://pulse-3k2.pages.dev/news/59bb488938db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience arXiv:2606.27475v1 Announce Type: cross Abstract: Robots trained on real world data tend to be imprecise, slow, and brittle to perturbations. Improving these policies with reinforcement learning (RL) https://pulse-3k2.pages.dev/news/aeccf1274054 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sampling the Schwinger Model with Gauge-Equivariant Diffusion arXiv:2606.27481v1 Announce Type: cross Abstract: We present a first study of a diffusion-based approach to accelerated sampling of the $N_f = 2$ lattice Schwinger model. Our work is inspired by recen https://pulse-3k2.pages.dev/news/7e8ee1671ca0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Large Language Model Teaches Visual Students: Cross-Modality Transfer of Fine-Grained Conceptual Knowledge arXiv:2606.27527v1 Announce Type: cross Abstract: Large Language Models (LLMs) possess broad conceptual knowledge acquired through large-scale text pretraining, yet their potential to supervise models https://pulse-3k2.pages.dev/news/f71428bed11c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from Annotation Uncertainty: Entropy-Aware Curriculum for Speech Emotion Recognition arXiv:2606.27536v1 Announce Type: cross Abstract: Speech emotion recognition (SER) often relies on hard consensus labels that collapse annotator disagreement. We study distribution-based supervision f https://pulse-3k2.pages.dev/news/5282ac2e83b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking Multi-Modal Graph-based Social Media Popularity Prediction arXiv:2606.27539v1 Announce Type: cross Abstract: Social media popularity prediction aims to forecast the future reach or influence of online content from early-stage observations. Accurate prediction https://pulse-3k2.pages.dev/news/5c0d22c80ad9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Advancing Speaker-Based Vocal Effort Classification with WavLM and Data Augmentation in Naturalistic Non-Calibrated Speech Recordings arXiv:2606.27543v1 Announce Type: cross Abstract: The variations in vocal effort range (e.g. whisper, soft, neutral, loud, shout) alter production and speech acoustics, reducing intelligibility and li https://pulse-3k2.pages.dev/news/1707b9e563ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EntMTP: Accelerating LLM Inference with Entropy Guided Multi Token Prediction arXiv:2606.27550v1 Announce Type: new Abstract: Multi-token prediction has been shown to increase data density during training, improve downstream text-generation quality, and serves as the defacto ap https://pulse-3k2.pages.dev/news/f033921fc87e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models arXiv:2606.27567v1 Announce Type: cross Abstract: Prompt injection is the top security risk for LLM-integrated applications, yet every defense proposed so far has been broken. We prove this is not a c https://pulse-3k2.pages.dev/news/0a26cc423b06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC arXiv:2606.27579v1 Announce Type: cross Abstract: Accurate assessment of tumor proportion score (TPS) in non-small cell lung cancer (NSCLC) is critical for treatment planning and prognosis. Key challe https://pulse-3k2.pages.dev/news/3224d2affe98 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models arXiv:2606.27593v1 Announce Type: cross Abstract: We introduce a categorical framework called ODYSSEY for constructing verifiable, local truth-preserving foundation models as compositions of foundries https://pulse-3k2.pages.dev/news/cdf4c8ddd508 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Qwen-Image-2.0-RL Technical Report arXiv:2606.27608v1 Announce Type: cross Abstract: We present Qwen-Image-2.0-RL, a post-training pipeline that applies reinforcement learning from human feedback (RLHF) and on-policy distillation (OPD) https://pulse-3k2.pages.dev/news/13d73b83e51e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Masked Language Flow Models arXiv:2606.27617v1 Announce Type: new Abstract: Masked Diffusion Models (MDMs) promise fast, parallel language generation, but their reverse transition factorises across token positions -- an approxim https://pulse-3k2.pages.dev/news/914cb64673f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DysLexLens: A Low-Resource LLM Framework for Analysing Dyslexic Learners Insights from Online Forums arXiv:2606.27619v1 Announce Type: cross Abstract: Dyslexic learners increasingly use artificial intelligence (AI) tools to support reading, writing, organisation, and study-related tasks. However, the https://pulse-3k2.pages.dev/news/fb69b266288e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Guided Robotic Radiation Source Localization along Arbitrary Measurement Paths in Unstructured Environments arXiv:2606.27624v1 Announce Type: cross Abstract: Using robots to estimate the location of the radiation source is an effective way to improve efficiency and safety. Existing methods focus on planning https://pulse-3k2.pages.dev/news/336c63c4d9e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Survey of Automated Presentation Coaching: Systems, Methods, and Open Challenges arXiv:2606.27380v1 Announce Type: new Abstract: Automated coaching for oral presentations sits at the intersection of computer-assisted pronunciation training (CAPT), prosody modeling, and speech synt https://pulse-3k2.pages.dev/news/d921ceed1cc0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026 arXiv:2606.27446v1 Announce Type: new Abstract: This paper describes team HSA_CORAL's submission to the FinCausal 2026 shared task on extracting cause-effect relations from financial narratives via ex https://pulse-3k2.pages.dev/news/a5fdd2921b0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Developmental approach reveals the statistical learning of Neural Language Models: Transformers generalize from the most abstract statistical patterns arXiv:2606.27460v1 Announce Type: new Abstract: In this study, we use a developmental approach to investigate the statistical learning and mental representation of neural language models (NLM). A seri https://pulse-3k2.pages.dev/news/ddd34fcb5fe4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Context-Ready Transformer arXiv:2606.27538v1 Announce Type: new Abstract: We introduce the context-ready transformer, a new recurrent neural network architecture built from a D-layer transformer block that pre-contextualizes e https://pulse-3k2.pages.dev/news/1c4f84d55ad9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents arXiv:2606.27595v1 Announce Type: new Abstract: Web-agent benchmarks overwhelmingly measure depth -- pinning one obscure answer behind a chain of constraints -- while breadth, exhaustively enumerating https://pulse-3k2.pages.dev/news/621c4d9ef0b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Narrative-UFET: Narrative Generation for Ultra-Fine Entity Typing arXiv:2606.27598v1 Announce Type: new Abstract: Ultra-fine entity typing (UFET) assigns highly specific types to entity mentions, but current approaches struggle with types in the long tail. We hypoth https://pulse-3k2.pages.dev/news/dab3645d5be8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Platform Chinese Offensive Comment Detection via Dual-Threshold Hard Example Mining arXiv:2606.27629v1 Announce Type: new Abstract: Cross-platform deployment of offensive comment detection for Chinese social media suffers performance degradation. The paper proposes a dual-threshold h https://pulse-3k2.pages.dev/news/91c3e132b018 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety arXiv:2606.27632v1 Announce Type: new Abstract: As large language models are increasingly deployed in real-world systems, safety failures can still lead to harmful outputs and dangerous misuse. We arg https://pulse-3k2.pages.dev/news/c973aa457160 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search arXiv:2606.27669v1 Announce Type: new Abstract: Search agents powered by large language models (LLMs) are increasingly used to solve complex information-seeking tasks, requiring multi-step retrieval a https://pulse-3k2.pages.dev/news/fd645bd911c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Signals to Transfer: A Factorised Study of Probe-Based Uncertainty Estimation in Large Language Models arXiv:2606.27679v1 Announce Type: new Abstract: Probe-based uncertainty estimation (UE) has emerged as a prominent approach to detect hallucinations in Large Language Models (LLMs) by learning uncerta https://pulse-3k2.pages.dev/news/6a743eb51e6a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mitigating LLM-based p-Hacking by Preregistering for the Next LLM arXiv:2606.27687v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to generate, classify, and annotate data whose outputs feed downstream hypothesis tests. However, LLM https://pulse-3k2.pages.dev/news/aa9160f46a0f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling arXiv:2606.27705v1 Announce Type: new Abstract: Large Language Models (LLMs) still struggle with the ``lost-in-the-middle'' problem, where critical information located in the middle of long-context in https://pulse-3k2.pages.dev/news/f5abd2159bb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Agreeableness Persona Conditioning for Safe LLM Fine-Tuning arXiv:2606.27709v1 Announce Type: new Abstract: Recent work has shown that fine-tuning large language models (LLMs) for social warmth degrades factual reliability and increases sycophancy. We investig https://pulse-3k2.pages.dev/news/679d5b9bc3c4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Speech Emphasis Models Generalize across Languages and Emotions? arXiv:2606.27717v1 Announce Type: new Abstract: Prosodic emphasis varies across languages, emotions, and speaking styles, yet existing emphasis detection models are largely trained and evaluated on mo https://pulse-3k2.pages.dev/news/e0e655a8276e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhancing Numerical Prediction in LLMs via Smooth MMD Alignment arXiv:2606.27731v1 Announce Type: new Abstract: Despite their strong general capabilities, large language models (LLMs) often remain unreliable when outputs must be numerically precise. A key reason i https://pulse-3k2.pages.dev/news/7b40e48e3ec3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KG2Cypher: Data-Centric Pipeline for Building Enterprise Text-to-Cypher Systems arXiv:2606.27742v1 Announce Type: new Abstract: Enterprise Knowledge Graphs (KGs) are increasingly used for internal search, analytics, and question answering, but building natural-language interfaces https://pulse-3k2.pages.dev/news/5dbb65d00f91 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Output-Space Allocation Costs for Calibration-Guided LLM Compression: An Empirical Study arXiv:2606.27785v1 Announce Type: new Abstract: Training-free compression methods for large language models (LLMs) often use calibration data to guide compression decisions. ROCKET, a recent method co https://pulse-3k2.pages.dev/news/bfff192033aa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SHIFT: Gate-Modulated Activation Steering for Knowledge Conflict Mitigation in Retrieval-Augmented Generation arXiv:2606.27786v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) enhances LLMs by incorporating external knowledge to support response generation. However, conflicts between retrie https://pulse-3k2.pages.dev/news/e6fb5250f612 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NLL-Guided Full-Attention Layer Selection for Training-Free Sliding-Window Adaptation arXiv:2606.27791v1 Announce Type: new Abstract: Hybrid attention models that mix full and sliding-window attention across layers offer a promising approach to efficient long-context inference, but the https://pulse-3k2.pages.dev/news/64f682e311d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Position Bias Correction is Insufficient for One-Pass Attention Sorting arXiv:2606.27793v1 Announce Type: new Abstract: Long-context language models suffer from position bias, where information in middle positions is underutilized. Attention Sorting addresses this by iter https://pulse-3k2.pages.dev/news/578109c8b3cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Complementary Action Modeling from Automotive Maintenance Instructions arXiv:2606.27808v1 Announce Type: new Abstract: A minute lexical variation can reverse the procedural meaning of an instruction even when the rest of the sentence remains unchanged. In automotive main https://pulse-3k2.pages.dev/news/d486d42ce512 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts arXiv:2606.27881v1 Announce Type: new Abstract: Temporal variation poses a unique challenge for named entity recognition (NER) in historical texts, where entities drift in surface form and salience ac https://pulse-3k2.pages.dev/news/79b10f2db724 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Triadic Werewolf: A Jester Role for Multi-Hop Theory of Mind in LLMs arXiv:2606.27909v1 Announce Type: new Abstract: Theory-of-mind evaluations of large language models typically use dyadic social-deduction games, where every observable cue points to a single hidden si https://pulse-3k2.pages.dev/news/2e0dfa6c1c6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VASAE: Naming SAE Dictionary Directions with Vocabulary-Aligned Anchoring arXiv:2606.27941v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) provide useful decompositions of Transformer residual streams, but their learned features are usually named post hoc rather t https://pulse-3k2.pages.dev/news/62a36c81fcb3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Empirical Analysis of Factual Errors in Human-Written Text and its Application arXiv:2606.27959v1 Announce Type: new Abstract: Factual Error Detection (FED), which is the task of identifying factually incorrect spans in a given text, has long been recognized as an important rese https://pulse-3k2.pages.dev/news/157c45469717 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Black-Box to Clinical Insight: A Multi-Stage Explainable Framework for Speech-Based Cognitive Impairment Detection arXiv:2606.27973v1 Announce Type: new Abstract: Speech-based cognitive impairment detection offers a noninvasive, accessible alternative to costly biomarker assays, yet transformer-based models remain https://pulse-3k2.pages.dev/news/5290f319a8bc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ToxiREX: A Dataset on Toxic REasoning in ConteXt arXiv:2606.27981v1 Announce Type: new Abstract: We introduce a new, contextual, multilingual dataset called ToxiREX: Toxic REasoning in ConteXt. The dataset consists of threads of Reddit comments and https://pulse-3k2.pages.dev/news/038ad2ff2d3c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection arXiv:2606.28002v1 Announce Type: new Abstract: Insurance fraud imposes substantial financial losses and operational inefficiencies, raising premiums and impacting trust among legitimate policyholders https://pulse-3k2.pages.dev/news/7051c366f78d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Signal-Coverage Matrix: Stratifying Type and Semantic Errors in Statement Autoformalization arXiv:2606.28013v1 Announce Type: new Abstract: Headline type-correctness (TC\%) of LLM autoformalization has climbed from $\sim$53\% to $\sim$76\% in two years, yet this scalar conceals which errors https://pulse-3k2.pages.dev/news/1698aa830c7f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Tree-of-Thoughts Inspired Hybrid Approach for Legal Case Judgement Summarization using LLMs arXiv:2606.28044v1 Announce Type: new Abstract: In recent times, Large Language Models (LLMs) are increasingly being used for legal case judgement summarization. Most prior works have tried traditiona https://pulse-3k2.pages.dev/news/2e794ce192f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can LLMs Judge Better Than They Generate? Evaluating Task Asymmetry, Mechanistic Interpretability and Transferability for In-Context QA arXiv:2606.28050v1 Announce Type: new Abstract: LLM-as-a-Judge and self-evaluation pipelines implicitly assume that evaluation is easier than generation. We test this in a controlled in-context QA set https://pulse-3k2.pages.dev/news/b3d3b5c7010a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MultiHashFormer: Hash-based Generative Language Models arXiv:2606.28057v1 Announce Type: new Abstract: Language models (LMs) represent tokens using embedding matrices that scale linearly with the vocabulary size. To constrain the parameter footprint, prio https://pulse-3k2.pages.dev/news/95b8829d6039 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability arXiv:2606.28116v1 Announce Type: new Abstract: Frontier large language model training consumes massive accelerator fleets and long wall-clock computation, making stability failures costly when they o https://pulse-3k2.pages.dev/news/da209617c286 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Tokens to States: LLMs as a Special Case of World Models and the Continuous Path Beyond arXiv:2606.28127v1 Announce Type: new Abstract: The AI community has framed the relationship between large language models (LLMs) and world models as a dichotomy: LLMs predict tokens; world models sim https://pulse-3k2.pages.dev/news/d8c1e6581d53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cognitive Episodes in LLM Reasoning Traces Enable Interpretable Human Item Difficulty Prediction arXiv:2606.28186v1 Announce Type: new Abstract: Predicting human item difficulty is central to educational assessment, where reliable estimates support fairness and effective test construction. Existi https://pulse-3k2.pages.dev/news/41b4666814e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Vision-Default, Prior-Override: Causal Mechanisms of Perception-Knowledge Conflict in Vision-Language Models arXiv:2606.28273v1 Announce Type: new Abstract: Vision-language models must reconcile visual evidence with memorized world knowledge when the two conflict. How they resolve this conflict shapes the re https://pulse-3k2.pages.dev/news/41fb6e952bc8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CalBrief: A Pilot Diagnostic Benchmark for Evidence-Calibrated Scientific Briefing with Large Language Models arXiv:2606.27383v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as research assistants, yet it remains unclear whether they can calibrate research takeaways to the https://pulse-3k2.pages.dev/news/034157200a98 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cluster, Route, Escalate: Cascaded Framework for Cost-Aware LLM Serving arXiv:2606.27457v1 Announce Type: cross Abstract: Efficient deployment of large language models (LLMs) in production forces a trade-off between accuracy and cost. Operators often default to a single m https://pulse-3k2.pages.dev/news/5ee4ac4e96d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DMV-Bench: Diagnosing Long-Horizon Multimodal Agents' Visual Memory with Incidental Cue Injection arXiv:2606.27499v1 Announce Type: cross Abstract: Research on agent memory has matured rapidly, but almost entirely on the text side: few existing benchmarks ask, in an interactive environment, when a https://pulse-3k2.pages.dev/news/e71ebc1a8bfd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Aloe-Vision: Robust Vision-Language Models for Healthcare arXiv:2606.27500v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) specialized in healthcare are emerging as a promising research direction due to their potential impact in clinica https://pulse-3k2.pages.dev/news/a8d8d77e5cbc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Joint Transcription and Decryption of Images of Encrypted Handwritten Documents: A Comparison with the Traditional Pipeline arXiv:2606.27700v1 Announce Type: cross Abstract: Historical encrypted manuscripts present a challenging problem at the intersection of cryptology, linguistics, paleography, and computer vision. Curre https://pulse-3k2.pages.dev/news/5c564b4f4e98 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing arXiv:2606.27926v1 Announce Type: cross Abstract: Geometry Problem Solving have increasingly adopt the neuro-symbolic paradigm, combining neural intuition with symbolic rigor. However, current framewo https://pulse-3k2.pages.dev/news/f7c92561383a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI Persuasive Framing in Collective Dilemmas arXiv:2606.27951v1 Announce Type: cross Abstract: AI agents are promising tools that can act as flexible behavioral nudges to enhance human cooperation in addressing large-scale societal problems. How https://pulse-3k2.pages.dev/news/f445c49f2bc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions arXiv:2606.28048v1 Announce Type: cross Abstract: Insurance fraud remains costly and operationally difficult, particularly in call-centre workflows where many customer interactions begin at FNOL. Whil https://pulse-3k2.pages.dev/news/864a83073c48 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Single and Multi Truth Data Fusion using Large Language Models arXiv:2606.28062v1 Announce Type: cross Abstract: Data fusion, also known as truth discovery, is a data integration problem that aims to determine the correct value or set of values for each attribute https://pulse-3k2.pages.dev/news/16038fede2bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scaling limit of the Random Language Model arXiv:2606.28105v1 Announce Type: cross Abstract: We develop a quantitative theory of the Random Language Model (RLM), an ensemble of stochastic context-free grammars, in a scaling limit where the num https://pulse-3k2.pages.dev/news/e9dc39c6205c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-Speech arXiv:2606.28249v1 Announce Type: cross Abstract: Recently, Large Language Model (LLM)-based Text-to-Speech (TTS) models have achieved remarkable naturalness. However, the standard Supervised Fine-Tun https://pulse-3k2.pages.dev/news/c778991453e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continual Memorization of Factoids in Language Models arXiv:2411.07175v3 Announce Type: replace Abstract: As new knowledge rapidly accumulates, language models (LMs) with pretrained knowledge quickly become obsolete. A common approach to updating LMs is https://pulse-3k2.pages.dev/news/2020033a5ec7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReFreeKV: Towards Threshold-Free KV Cache Compression arXiv:2502.16886v4 Announce Type: replace Abstract: To reduce memory consumption during LLM inference, a handful of methods have been proposed for KV cache pruning. While these techniques can accompli https://pulse-3k2.pages.dev/news/c906f0f2ea61 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Effect of Uncertainty on Layer-wise Inference Dynamics arXiv:2507.06722v2 Announce Type: replace Abstract: Understanding how large language models (LLMs) internally represent and process their predictions is central to detecting uncertainty and preventing https://pulse-3k2.pages.dev/news/98682f183d1e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Training-free Truthfulness Detection via Sparse MLP Value Vectors arXiv:2509.17932v2 Announce Type: replace Abstract: Large language models (LLMs) are prone to generating factually incorrect content, motivating methods for assessing truthfulness from internal model https://pulse-3k2.pages.dev/news/ff7c8ebcc61d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety arXiv:2510.16492v4 Announce Type: replace Abstract: As Large Language Model (LLM) agents increasingly operate in complex environments with real-world consequences, their safety becomes critical. While https://pulse-3k2.pages.dev/news/16726f50f6c7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification arXiv:2511.03217v2 Announce Type: replace Abstract: Large language models (LLMs) excel in generating fluent utterances but can lack reliable grounding in verified information. At the same time, knowle https://pulse-3k2.pages.dev/news/cc3e0bd7c29e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Safe Language Generation in the Limit arXiv:2601.08648v2 Announce Type: replace Abstract: Recent results in learning a language in the limit have shown that, although language identification is impossible, language generation is tractable https://pulse-3k2.pages.dev/news/f9686e01566c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Evict from Key-Value Cache arXiv:2602.10238v2 Announce Type: replace Abstract: The growing size of Large Language Models (LLMs) makes efficient inference challenging, primarily due to the memory demands of the autoregressive Ke https://pulse-3k2.pages.dev/news/628f312cd063 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring the Redundancy of Decoder Layers in SpeechLLMs arXiv:2603.05121v2 Announce Type: replace Abstract: Speech Large Language Models route speech encoder representations into an LLM decoder that typically accounts for over 90% of total parameters. We s https://pulse-3k2.pages.dev/news/853a8d13f1b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LiveClawBench: Benchmarking LLM Agents on Complex, Real-World Assistant Tasks arXiv:2604.13072v2 Announce Type: replace Abstract: OpenClaw-style personal assistants extend LLM agents from isolated tool use to open-ended, stateful, and personalized software environments. Evaluat https://pulse-3k2.pages.dev/news/d18b78adb56d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining arXiv:2604.17633v2 Announce Type: replace Abstract: Large language models exhibit impressive cross-lingual capabilities. However, prior work analyzes this phenomenon through isolated factors and at sp https://pulse-3k2.pages.dev/news/0b657421dd24 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Subject-level Inference for Realistic Text Anonymization Evaluation arXiv:2604.21211v2 Announce Type: replace Abstract: Current text anonymization evaluation relies on span-based metrics that fail to capture what an adversary could actually infer, and assumes a single https://pulse-3k2.pages.dev/news/c58302c2798b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Characterizing the Expressivity of Local Attention in Transformers arXiv:2605.00768v3 Announce Type: replace Abstract: The transformer is the most popular neural architecture for language modeling. The cornerstone of the transformer is its global attention mechanism, https://pulse-3k2.pages.dev/news/31663f0caf4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ELF: Embedded Language Flows arXiv:2605.10938v2 Announce Type: replace Abstract: Diffusion and flow-based models have become the de facto approaches for generating continuous data, e.g., in domains such as images and videos. Thei https://pulse-3k2.pages.dev/news/4823ce6dc3e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling arXiv:2606.02004v2 Announce Type: replace Abstract: Consumer-price measurement increasingly draws on alternative data sources -- scanner, web-scraped, and transaction/receipt data -- whose product des https://pulse-3k2.pages.dev/news/dba1a502a190 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs arXiv:2606.23387v2 Announce Type: replace Abstract: Self-stigma predicts treatment avoidance and disengagement among people who use drugs (PWUD), yet conversational systems aiming to provide support t https://pulse-3k2.pages.dev/news/1dc7fe449e73 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SIGNER: Temporally Grounded Sign Language Generation via Time-Resolved Conditioning arXiv:2506.07460v2 Announce Type: replace-cross Abstract: Sign language generation (SLG), also known as text-to-sign generation, aims to bridge the communication gap between signers and non-signers. U https://pulse-3k2.pages.dev/news/8ed9a97f6b63 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PRISON: Unmasking the Criminal Potential of Large Language Models arXiv:2506.16150v4 Announce Type: replace-cross Abstract: As large language models (LLMs) advance, concerns about their misconduct in complex social contexts intensify. Existing research overlooked th https://pulse-3k2.pages.dev/news/c4151cad80c4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting arXiv:2510.18874v3 Announce Type: replace-cross Abstract: Adapting language models (LMs) to new tasks via post-training carries the risk of degrading existing capabilities -- a phenomenon classically https://pulse-3k2.pages.dev/news/ed416eb0185a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Psychometric Comparability of LLM-Based Digital Twins arXiv:2601.14264v2 Announce Type: replace-cross Abstract: Large language models (LLMs) act as digital twins for human respondents, yet their psychometric comparability remains uncertain. We propose a https://pulse-3k2.pages.dev/news/9a563722c9f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning arXiv:2603.09731v3 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) are increasingly considered as a foundation for embodied agents, yet it remains unclear whether they https://pulse-3k2.pages.dev/news/305bac6ff3b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory arXiv:2605.06675v2 Announce Type: replace-cross Abstract: Large language models cache all previously computed key-value (KV) pairs during generation, and this KV cache grows linearly with sequence len https://pulse-3k2.pages.dev/news/7946db133b49 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters arXiv:2606.09774v2 Announce Type: replace-cross Abstract: Configuring an advanced scientific simulator, translating a modeling goal into a valid, runnable input deck, is a persistent bottleneck that c https://pulse-3k2.pages.dev/news/c0828bffde2a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multimodal Evaluator Preference Collapse: Cross-Modal Coupling in Self-Evolving Agents arXiv:2606.16682v3 Announce Type: replace-cross Abstract: When AI agents use language models to evaluate their own outputs in a feedback loop, systematic biases emerge. We show that Evaluator Preferen https://pulse-3k2.pages.dev/news/7afca678e027 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning arXiv:2606.22873v3 Announce Type: replace-cross Abstract: Vision-language models (VLMs) are increasingly deployed in consumer, medical, financial, and enterprise applications. This broad deployment ex https://pulse-3k2.pages.dev/news/5fd9aa29cdb4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6721b3503e45 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/69ee7bea325c 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!S-dx!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fbab22a57-acb5-4fe4-929f-132059bcb466_1800x900.png HackerRank open sourced its ATS. My resume scored 90/100. Oh wait 74. No – 88 Article URL: https://danunparsed.com/p/hackerrank-open-source-ats Comments URL: https://news.ycombinator.com/item?id=48713832 Points: 554 # Comments: 223 https://pulse-3k2.pages.dev/news/0a8f192a06bb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/813e1ce82267 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f35aebf2e450 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=140&height=81&auto=webp&s=d39c4c208d55b26179446aa55ac5f84224359090 MLX Fine-Tune Example Guide A Local MLX Fine-Tuning Experiment Just finished a local LoRA fine-tune of a 7B instruction model on Apple Silicon, via MLX, teaching it a high-fantasy literary register (Gene Wolfe and Tolkien). This https://pulse-3k2.pages.dev/news/9b8c39045d70 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1546a213b312 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bfe5735a67e9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/973deac5feab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7072f6dd8e55 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZmF3NGJ2M2EwNGFoMZJG0HZRC-S6kFGiuDKjBR_JRYpJHTS3Zx5XrwxWIzrw.png?width=640&crop=smart&auto=webp&s=ac3c43bf412e962c616a76d4b91a755081eccd44 Locally running mode turns an Image into a Cute Controllable Character you can Play as This is a sequel to my last post here !! It meant a lot to have such positive feedback last time. This is the 800M version of the previous model. It still has a LOT of issues but the promise is the sa https://pulse-3k2.pages.dev/news/7bf890fbf523 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/972d39e0fb5a 2026-07-02 monthly 0.7 https://external-preview.redd.it/NGhjbzV2eTV2M2FoMR39urnPMo6T-MiGC-QPCASn2GUn86M8b-WEdDXlceeB.png?width=640&crop=smart&auto=webp&s=128933186e241cc9ba1b736837b461f331d18753 NPC Engine Using Local Models I’ve been working on a game-agnostic NPC engine/backend based pretty heavily on SillyTavern-style architecture, and with smaller local models getting better and better, I honestly think this kind of t https://pulse-3k2.pages.dev/news/dcf9f03e62b5 2026-07-02 monthly 0.7 https://framerusercontent.com/images/5O3rU7bwpuOpLUdBe6aEsQxPKA.png How does a pull-back car work? Illustrated teardown Article URL: https://mechanical-pencil.com/products/car Comments URL: https://news.ycombinator.com/item?id=48712289 Points: 212 # Comments: 38 https://pulse-3k2.pages.dev/news/968fc5e2f5c0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8c09555f2e88 2026-07-02 monthly 0.7 https://theintercept.com/wp-content/uploads/2026/06/IMG_4281-e1782406948568.jpg?fit=2048%2C1024&w=1200&h=800 30-year sentence for transporting zines is a five-alarm fire for free speech Article URL: https://theintercept.com/2026/06/26/daniel-sanchez-estrada-zines-prairieland-free-speech/ Comments URL: https://news.ycombinator.com/item?id=48711981 Points: 200 # Comments: 111 https://pulse-3k2.pages.dev/news/99628725ee7c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dd65a84b6d2b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c6bb4c3542fb 2026-07-02 monthly 0.7 https://scx2.b-cdn.net/gfx/news/hires/2026/newly-described-austra.jpg Newly discovered spider builds spring loaded snare to catch ants Article URL: https://phys.org/news/2026-06-newly-australian-ballista-spider-snare.html Comments URL: https://news.ycombinator.com/item?id=48711052 Points: 211 # Comments: 47 https://pulse-3k2.pages.dev/news/3780f15956ce 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/63bcfec6a222 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f76ff5a4c681 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b13fe6ad15a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2255983122.jpg?w=1024 Ford rehires ‘gray beard’ engineers after AI falls short "Mistakenly we thought that by just introducing artificial intelligence ... that would produce a high-quality product.” https://pulse-3k2.pages.dev/news/10655a197dae 2026-07-02 monthly 0.7 https://repository-images.githubusercontent.com/863717537/80b4f2f1-52f9-4c3e-b32a-779933701089 Librepods: AirPods liberated Article URL: https://github.com/librepods-org/librepods Comments URL: https://news.ycombinator.com/item?id=48710232 Points: 212 # Comments: 62 https://pulse-3k2.pages.dev/news/1046b8fd8d2a 2026-07-02 monthly 0.7 https://preview.redd.it/4kljd5aci2ah1.png?width=140&height=77&auto=webp&s=ae5226eebbb92b334cbe8ba6d4155cf5d97a2906 Ornith-1.0-35B GGUF update: native MTP speculative-decode graft + full serving/TTFT/long-context numbers (llama.cpp, tp=1) Follow-up to my previous Ornith-1.0-35B Q3_K_M post. I grafted a native MTP draft head onto the IQ4_XS body (head at Q6) for self-speculative decode, single GPU, llama.cpp: 1.3-1.35x single-stream dec https://pulse-3k2.pages.dev/news/dc3cd2e98096 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cce86221f1fe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/71e88a41716b 2026-07-02 monthly 0.7 https://semgrep.dev/assets/blog/glm-5.2-beats-claude-in-our-cybersecurity-benchmarks.png GLM 5.2 beats Claude in our benchmarks Article URL: https://semgrep.dev/blog/2026/we-have-mythos-at-home-glm-52-beats-claude-in-our-cyber-benchmarks/ Comments URL: https://news.ycombinator.com/item?id=48709670 Points: 273 # Comments: 109 https://pulse-3k2.pages.dev/news/16b856ae68ad 2026-07-02 monthly 0.7 https://external-preview.redd.it/0nmRvuVh1uObZ8rfbMNBhgVIYPaGsqWIYWqtsVrjR4k.jpeg?width=640&crop=smart&auto=webp&s=8c87766248a42d08aeea45eb42ebc0e0e89ba3bf A lot of good M5 Max options available at Apple Refurbished Just a heads-up. After Apple's price hike announcement, they added a bunch of top-of-the-line 14" M5 Pro/Max options to their refurbished website. If you got discouraged by the price hike, check out t https://pulse-3k2.pages.dev/news/0d4f3d977f89 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Yzio!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2f6a1684-d8af-4a82-a0fc-ba65d6a6dde0_1024x576.jpeg Artifacts 22: Zyphra, Cohere, and Poolside are expanding the breadth of the ecosystem An assessment of the open ecosystem and the motivations behind releasing models https://pulse-3k2.pages.dev/news/5f8ae94d3d52 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/27SeSwGzXJ8BQXlEobHQIG/6cd70adfdfd93e9ba1b41bc38e0f01be/HP-16_9.png?w=1600&h=900&fit=fill HP Inc. launches Frontier strategic partnership with OpenAI HP Inc. scales its OpenAI Frontier partnership to deploy AI across customer experiences, software development, and enterprise operations. https://pulse-3k2.pages.dev/news/cbc48de25592 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a3fe1b264f73 2026-07-02 monthly 0.7 https://external-preview.redd.it/cnp5ZWZ0ZGd5MWFoMRDTe4Q1MMfh41wCu0sV8yUEjL2kaQBpE58TnIU2R6DS.png?width=640&crop=smart&auto=webp&s=5528cf45daa2e9046360fdebff2fda176621b665 The number 1 public enemy of open-source. Dario's args: "Opensource you can see the source, here you cannot see inside the model" - yes you can that's literally the open weights part btw. - I cannot see the weights inside Claude, but I can GL https://pulse-3k2.pages.dev/news/b1d52276f2fe 2026-07-02 monthly 0.7 https://imagenes.elpais.com/resizer/v2/J6ITLVPHQNHI3BHNR3FPIX5URE.jpg?auth=29cc39cd3e10fbe5a5266dd40100f1d61e4fe145ccd2e4ab13b6a6bd0b67f1dd&width=1200 Professor denounces mass AI fraud on an exam at Brown Article URL: https://english.elpais.com/education/2026-06-28/ai-fraud-at-brown-university-academic-integrity-is-at-risk.html Comments URL: https://news.ycombinator.com/item?id=48708991 Points: 348 # C https://pulse-3k2.pages.dev/news/795c64010bad 2026-07-02 monthly 0.7 https://antoine.fi/rails/active_storage/blobs/proxy/eyJfcmFpbHMiOnsiZGF0YSI6Mzk4LCJwdXIiOiJibG9iX2lkIn19--d3e6efb19dc4b4dc72f3345968d90c00d2d027fb/avatar.jpeg I used Claude Code to get a second opinion on my MRI Article URL: https://antoine.fi/mri-analysis-using-claude-code-opus Comments URL: https://news.ycombinator.com/item?id=48708941 Points: 206 # Comments: 309 https://pulse-3k2.pages.dev/news/c86554cd5e98 2026-07-02 monthly 0.7 https://preview.redd.it/n3unph44o1ah1.png?width=640&crop=smart&auto=webp&s=9b9a49f1701d2ca0ed2661f36d7fd4a4bdc1e874 Script to monitor llama cpp and analyze memory usage My goal has always been to be productive with commodity hardware. So far my workhorses have been the MoE editions of gemma 4 and Qwen 3.6 on an old desktop with a single 9060XT with 16GB ram. The prob https://pulse-3k2.pages.dev/news/b61de83caa36 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c7bbf243f22e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/49a2a56f6a29 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!jreY!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9bc09bba-2764-4500-803f-24c0a1fe83dc_1206x1702.jpeg China catches up Has the US been focused on the wrong things? https://pulse-3k2.pages.dev/news/ded6c1db756f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/485f7258b0f9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/micron-GettyImages-2225258783.jpg?resize=1200,800 Why Wall Street thinks US memory maker Micron is the next Nvidia Eager to find more public AI-related companies that may do as well as Nvidia, Wall Street investors think they've found a winner with Micron. https://pulse-3k2.pages.dev/news/52cdda75dbcc 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/5bf2fefc-6cc5-43c5-a017-77fb0fd53a02_686x386.jpeg GPT-5.6: The System Card While we wait for a general release, the system card is the best hint as to what is going on with the new candidate for America’s Next Top Model, GPT-5.6. https://pulse-3k2.pages.dev/news/99f928e68df0 2026-07-02 monthly 0.7 https://assets1.cbsnewsstatic.com/hub/i/r/2026/06/24/9b48b90e-f513-4e46-8570-c5c84176a82d/thumbnail/1200x630/590a05cc61fb964846830134064fc5d1/gettyimages-2218579503.jpg Michigan bill would bar employers from requiring after-hours coms with workers Article URL: https://www.cbsnews.com/detroit/news/workplace-boundaries-act-employees-after-hours/ Comments URL: https://news.ycombinator.com/item?id=48707769 Points: 202 # Comments: 140 https://pulse-3k2.pages.dev/news/ea642406067b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dcdda436cf37 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/44709fdb7109 2026-07-02 monthly 0.7 https://www.patrick-breyer.de/wp-content/uploads/2024/01/240130_Breyer-Alternativen-engl.png EU to legislate about Chat Control behind closed doors Article URL: https://www.patrick-breyer.de/en/double-threat-to-private-communications-undemocratic-chat-control-backroom-deals-and-imminent-concessions-spark-relaunch-of-fightchatcontrol-eu/ Comments https://pulse-3k2.pages.dev/news/b16688c0ceb7 2026-07-02 monthly 0.7 https://www.engadget.com/img/gallery/flock-cameras-track-more-than-your-license-plate-and-theyre-spreading-fast/l-intro-1782508847.jpg Flock cameras track more than your license plate, and they're spreading fast Article URL: https://www.engadget.com/2203000/flock-cameras-recording-license-plate/ Comments URL: https://news.ycombinator.com/item?id=48707673 Points: 283 # Comments: 196 https://pulse-3k2.pages.dev/news/9aa72a6d0bf9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a98fc2dd5d99 2026-07-02 monthly 0.7 https://external-preview.redd.it/5-XPYpuVHq2kvgibNUvpTu-iQyUDKm1kz61KOP8bp-o.png?width=640&crop=smart&auto=webp&s=7218e42dbffa52da5e15b5d0b51c1d58ee67c940 DeepSpec - a deepseek-ai Collection DeepSpec DeepSpec is a full-stack codebase for training and evaluating draft models for speculative decoding. It contains data preparation utilities, draft model implementations, training code, and ev https://pulse-3k2.pages.dev/news/f53f45064eda 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f329d0586d6e 2026-07-02 monthly 0.7 https://external-preview.redd.it/M3mdnEysfP0uVC2ZSlECyu-WrkIZqJe9ud0VDkfR66g.png?width=640&crop=smart&auto=webp&s=04b7c4a6ef10f11fab69ba83869b032dd4cd9d50 DFlash support merged into llama.cpp   submitted by   /u/sammcj [link]   [comments] https://pulse-3k2.pages.dev/news/233142631b19 2026-07-02 monthly 0.7 https://aresluna.org/images/the-curious-case-of-the-disappearing-polish-s/ogimage.png The curious case of the disappearing Polish S (2015) Article URL: https://aresluna.org/the-curious-case-of-the-disappearing-polish-s/ Comments URL: https://news.ycombinator.com/item?id=48706814 Points: 222 # Comments: 73 https://pulse-3k2.pages.dev/news/5e24fbd64b66 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/68dbe5f0dbe0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/467724444f50 2026-07-02 monthly 0.7 https://www.eff.org/files/banner_library/ageverificationbanner-3.png The KIDS Act would require age checks to get online Article URL: https://www.eff.org/deeplinks/2026/06/kids-act-would-require-age-checks-get-online Comments URL: https://news.ycombinator.com/item?id=48706560 Points: 245 # Comments: 226 https://pulse-3k2.pages.dev/news/e85fd2ab13b8 2026-07-02 monthly 0.7 https://external-preview.redd.it/MmRhNGJjcTNmMGFoMRDI8FF2XYacwyB_jZ-RMP2IJAdY7BNaXZKTsjuu23BF.png?width=640&crop=smart&auto=webp&s=3e857a2b674bfe96c284b0ae155e5bdd96ff7ddf Qwen3.6 27B local vs Opus 4.8, voxel engine in raw C with zero frameworks Sunday experiment. Same prompt to both. Build a voxel world in plain C. No engine, no game library, no framework, just the compiler. The model does its own chunk meshing, render loop and memory manage https://pulse-3k2.pages.dev/news/f99ae093aa67 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/88665f37a980 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a287abbe7992 2026-07-02 monthly 0.7 https://platform.theverge.com/wp-content/uploads/sites/2/chorus/uploads/chorus_asset/file/25514575/passport_2040.jpg?quality=90&strip=all&crop=0%2C15.095986038394%2C100%2C69.808027923211&w=1200 One million passports leaked online https://web.archive.org/web/20260617075233/https://www.theve... https://archive.ph/n2HnK Comments URL: https://news.ycombinator.com/item?id=48706389 Points: 244 # Comments: 131 https://pulse-3k2.pages.dev/news/dc35ef706302 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/001b18e365d9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/06a996970ba7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a2a82790b0ab 2026-07-02 monthly 0.7 https://preview.redd.it/ai0cmklq10ah1.jpeg?width=640&crop=smart&auto=webp&s=55fb7d3047f70c16dee7e3ce59dbc03d3e1c4abc This application to join the GPT 5.6 Sol preview is wild + face scanner, fingerprint checker and passport swiper   submitted by   /u/Complete-Sea6655 [link]   [comments] https://pulse-3k2.pages.dev/news/1bf4564250c7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/adf966c7fa94 2026-07-02 monthly 0.7 https://preview.redd.it/a2scxop2vz9h1.jpg?width=140&height=105&auto=webp&s=5682e984606a883c6082b5fb9a61155b3328edab We're probably going to need that soon. From: Vladik on 𝕏: https://x.com/Kostoglodov/status/2071144065857679631 Shaw (spirit/acc) on 𝕏: https://x.com/shawmakesmagic/status/2070918006033817867   submitted by   /u/Nunki08 [link] &#3 https://pulse-3k2.pages.dev/news/f980eb09e9b6 2026-07-02 monthly 0.7 https://preview.redd.it/3rfamhw1oz9h1.png?width=640&crop=smart&auto=webp&s=9d9f1fe1a2c5284a93491ef8d176ee8576824355 Whisperian: It is one of the best applications for Android, if you want to use Mic with some local ASR models. And it is also available on Play Store.   submitted by   /u/9r4n4y [link]   [comments] https://pulse-3k2.pages.dev/news/1559a179a774 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/57e9719dc671 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/276bca745968 2026-07-02 monthly 0.7 https://external-preview.redd.it/zfvkx31-NM_6KccYq9q1OexxZ6aookbW9oDQ8RFfnSM.png?width=640&crop=smart&auto=webp&s=461521a2b34831b06346a8011edb847d7706514d clark-labs/clark-air-sana-1.6b-1.58bit · Hugging Face A Sana 1.6B text-to-image transformer compressed to ternary (~1.85 bits/weight): 8.6× smaller than FP16, near-FP16 quality. Footprint (measured) Artifact Size vs FP16 What it is FP16 transformer 3.21 https://pulse-3k2.pages.dev/news/5be94d386ebc 2026-07-02 monthly 0.7 https://karolina.mgdubiel.com/drone/drone-img/og-preview.png Building a custom octocopter from scratch with no prior hardware experience Article URL: https://karolina.mgdubiel.com/drone/ Comments URL: https://news.ycombinator.com/item?id=48704289 Points: 240 # Comments: 52 https://pulse-3k2.pages.dev/news/a7f6efa46405 2026-07-02 monthly 0.7 https://preview.redd.it/vv21cchk2y9h1.png?width=140&height=79&auto=webp&s=0ddf967343312771206c91cab976c0fa5641c873 A Blind Visual Paradigm for Testing Skill Transfer in Small Models Without Fine-Tuning TL;DR: Small models aren't dumb, they're shallow. I designed a cross-domain, blind, visual experiment to see if a large model can compress its "planning discipline" into a reusable scaffold that makes https://pulse-3k2.pages.dev/news/39b4d95b824b 2026-07-02 monthly 0.7 https://preview.redd.it/bu6xsk4hvx9h1.jpg?width=140&height=63&auto=webp&s=0a4c589616d351d10d735940874706494e48d408 NagaTranslate: Building a translation and voice pipeline for low-resource Nagaland creoles (Whisper, VITS, LLMs) [P] Hello r/MachineLearning , I wanted to share the architecture and challenges behind a project I’ve been building called NagaTranslate . The goal is to build a translation and speech pipeline for the lo https://pulse-3k2.pages.dev/news/7ab1719b20ee 2026-07-02 monthly 0.7 https://npr.brightspotcdn.com/dims4/default/c3f0a81/2147483647/strip/true/crop/3000x1575+0+40/resize/1200x630!/quality/90/?url=http%3A%2F%2Fnpr-brightspot.s3.amazonaws.com%2Fe6%2F56%2F79316759410d8ce45efb655b32b3%2Fmpr-sleep-v2-logo-1.jpg Marfa Public Radio Puts You to Sleep Article URL: https://www.marfapublicradio.org/podcast/marfa-public-radio-puts-you-to-sleep Comments URL: https://news.ycombinator.com/item?id=48703759 Points: 226 # Comments: 56 https://pulse-3k2.pages.dev/news/fb3efe5032c6 2026-07-02 monthly 0.7 https://preview.redd.it/9uyyv1efmx9h1.jpeg?width=640&crop=smart&auto=webp&s=a1e900c160d3324f7917254ba3d6ca24160c8b25 Finally.. my rig is maxed out Got all the parts before the crazy price increase except for the rtx pro 5k! Was saving up to order rtx pro 6000 in US and i did, but wanted to join nvidia inception program for the discount. It was a https://pulse-3k2.pages.dev/news/284bf59479cd 2026-07-02 monthly 0.7 https://preview.redd.it/do8h0reikx9h1.jpeg?width=640&crop=smart&auto=webp&s=b69adface0a6fb00cebc05d911eddf9752b86280 US Ban Benchmark Updated: Toe-to-toe Between Two Big Names! OpenAI ties with Anthropic in this benchmark following the preview of GPT 5.6 just yesterday. Chinese models have no hope of catching up forever, while Gemini's figure is yet to be updated.   subm https://pulse-3k2.pages.dev/news/06fb0c18f80f 2026-07-02 monthly 0.7 https://preview.redd.it/mi19e2wdkx9h1.jpeg?width=640&crop=smart&auto=webp&s=3fbfe6b6d9f6771fc0ea12e47ab1a78f279eaaf5 10x Kaioken SSJ1 4th grade, worth it in 2026? Can it run Qwen3.6?   submitted by   /u/Ice94k [link]   [comments] https://pulse-3k2.pages.dev/news/24307e94bc55 2026-07-02 monthly 0.7 http://static1.squarespace.com/static/5feca30531a19847227af3bb/t/6a343855d688d00b2ef2a283/1781807193174/Screenshot+2026-06-18+at+6.55.30%E2%80%AFAM.png?format=1500w The best response to AI slop and online noise is from Robin Williams Article URL: https://jayacunzo.com/blog/your-move-chief Comments URL: https://news.ycombinator.com/item?id=48703452 Points: 216 # Comments: 122 https://pulse-3k2.pages.dev/news/bea7d9094dd2 2026-07-02 monthly 0.7 https://external-preview.redd.it/8XPcq_oYA6J9thMlDt3urfRXRaiznOdxNQ80nkmhneE.png?width=640&crop=smart&auto=webp&s=166045a8969647deb057ffce42a68fee30d6e6a8 Koboldcpp v1.116 released   submitted by   /u/Fcking_Chuck [link]   [comments] https://pulse-3k2.pages.dev/news/1634c3a63bd6 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/11292b724472a646c8208ce67b415c460f4c063c532b693d5db5d849c2ab6a48/kyuz0/amd-strix-halo-vllm-toolboxes AMD Strix Halo RDMA Cluster Setup Guide Article URL: https://github.com/kyuz0/amd-strix-halo-vllm-toolboxes/blob/main/rdma_cluster/setup_guide.md Comments URL: https://news.ycombinator.com/item?id=48703258 Points: 207 # Comments: 61 https://pulse-3k2.pages.dev/news/2d8c867cea30 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eeb61e1e1944 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8f90f93736c4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26299/gradient.png COrigami: An AI Pipeline for Co-Designing Flat-Foldable Visually Recognisable Origami Abstract A computational origami system generates crease patterns from natural language using AI-driven optimization and aesthetic evaluation, enabling human-AI collaboration in mathematically constra https://pulse-3k2.pages.dev/news/e66e8a50dde8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0ee2a23005de 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7249bc4345a3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a6e77b1a599b 2026-07-02 monthly 0.7 https://preview.redd.it/6itmhtemew9h1.png?width=140&height=81&auto=webp&s=d57991c4c2df68a41eebf376e0344837ca89d561 Full document redaction with Qwen 3.6 27B with a Pi agent harness Link to full blog post with all method details, results, and links to all relevant code/skills/prompts at the bottom of this post. Apologies for not having more links throughout, it seems this subredd https://pulse-3k2.pages.dev/news/c84c49df2462 2026-07-02 monthly 0.7 https://external-preview.redd.it/MHQyb2c3NHZhdzloMfUBDs7zPQMVXXmUlaKKeqArN4fD8VJwv8ggfpkn3Owy.png?width=320&crop=smart&auto=webp&s=8865ed9f1d79559cbb3110cf5ab9aa8b64b86ff6 Will Chinese Open Source Models be the only option soon? US techbros do not just want to make money. They want total global control of everything. Releasing any more advanced AI interferes with that plan.   submitted by   /u/GeographHero [link] &#32 https://pulse-3k2.pages.dev/news/1d0422ca7221 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4d937d28dcef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/746fa2a1f672 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8d1c02bf165e 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2021/02/GettyImages-1160112941.jpg?resize=1200,800 SoftBank’s CEO isn’t the only one with questions about Elon Musk’s orbital data center hype Not everyone is buying Elon Musk’s vision for orbital data centers. https://pulse-3k2.pages.dev/news/9a14b242a04a 2026-07-02 monthly 0.7 https://preview.redd.it/ppd5dwo7qv9h1.jpg?width=140&height=105&auto=webp&s=68fed174758d489ede487e4121ba4f6f7e0b2013 If it doesn't make my PP better, I don't want it Highlights: 4 x 48GB modded 4090s - 192GB VRAM 128GB DDR5 Pro WS WRX90E-SAGE SE 3000w PSU 240V/30A dryer line Q. Is putting a server on a dryer line a good idea? A. No, or emphatically yes. Splitters https://pulse-3k2.pages.dev/news/43ba8faa80c9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b4ad2e2f4cc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4a236b54fa89 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/16d308811659 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!nQT0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe33949c9-0318-4d60-aa73-883c82cb4f36_1200x800.png The AI Industry as You Know It Died Today OpenAI announced GPT-5.6 but a terrible thing has happened https://pulse-3k2.pages.dev/news/2efd421bfed4 2026-07-02 monthly 0.7 https://preview.redd.it/omv71jiiev9h1.png?width=640&crop=smart&auto=webp&s=286b2a887390449bc3c4c65f46052f15e6f4cde1 Does quantizing change the MTP draft rate? Speculative decoding speeds up LLM generation by using a small "drafter" model to predict several tokens ahead of the main model. The main model then verifies these predictions in a single forward pas https://pulse-3k2.pages.dev/news/0e17d579d9e8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26217/gradient.png Fast LeWorldModel Abstract Fast-LeWM accelerates visual planning by replacing autoregressive rollout with parallel action-prefix prediction, reducing computational costs and latency accumulation during long-horizon pre https://pulse-3k2.pages.dev/news/304a5d5f466f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/14830ce0e240 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/790b35ed8b3d 2026-07-02 monthly 0.7 https://preview.redd.it/dak6w5ifzu9h1.png?width=640&crop=smart&auto=webp&s=6a7e47e166dfb1cad07862f96abd39065ae487ef Even Google still believes in small models for coding. I've been meaning to post about this. The community has been pretty vocal in criticizing "vibe-coded" projects. I used to think the backlash was the real problem, but I've started getting annoyed by a https://pulse-3k2.pages.dev/news/56aba6da54d6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/78c0a3ef41de 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e99e21695232 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/06/Vision-Pro-IMG-3.jpeg?resize=1200,800 Apple Vision Pro exec is reportedly leaving for OpenAI Paul Meade, the Apple vice president in charge of the Vision Pro headset, is reportedly leaving the company to join OpenAI’s hardware team. https://pulse-3k2.pages.dev/news/8e3e5e454f24 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6f8557156a5c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/78cb88062584 2026-07-02 monthly 0.7 https://external-preview.redd.it/xL20TWLoDXtutsGuMHS1qdEyNEn6zkliHGGNaYV1H4A.png?width=640&crop=smart&auto=webp&s=2b035893689551e28412391b858ab5c0323b052d Hiding messages in the least significant mantissa bits of fine-tuned ONNX model weights [P] Hey everyone, I'd like to share my project along with a short explanation of the process and why it came about in the first place. To start off, I'm not exactly the best at cryptography/steganography, https://pulse-3k2.pages.dev/news/ab1a1f55aaf0 2026-07-02 monthly 0.7 https://weblog.rogueamoeba.com/wp-content/uploads/2026-06-iconshapes/banner@2x.png Free the Icons Article URL: https://weblog.rogueamoeba.com/2026/06/26/free-the-icons/ Comments URL: https://news.ycombinator.com/item?id=48698908 Points: 238 # Comments: 65 https://pulse-3k2.pages.dev/news/2c0418d6bcf9 2026-07-02 monthly 0.7 https://i0.wp.com/craphound.com/images/27Jun2026.jpg?w=840&ssl=1 Zuckerberg's Increasingly Bizarre War on Whistleblowers Article URL: https://pluralistic.net/2026/06/27/zuckerstreisand-2/ Comments URL: https://news.ycombinator.com/item?id=48698684 Points: 296 # Comments: 115 https://pulse-3k2.pages.dev/news/b2cf1ddaebde 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/df1ffb06250ce971e68fff3573597ff7b2c12dbff740c040d318cde969e043d3/bikini/exploitarium Anonymous GitHub account mass-dropping undisclosed 0-days Article URL: https://github.com/bikini/exploitarium Comments URL: https://news.ycombinator.com/item?id=48698617 Points: 270 # Comments: 110 https://pulse-3k2.pages.dev/news/8d6c368cee31 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Screenshot-2026-06-26-at-10.22.24-AM.png?resize=1200,683 The fittest founder in the room got cancer. Here’s how he used AI to fight back. When confronted with cancer, Connor Christou fed everything tied tied to his regime — blood results, scan data, wearable output, journal entries — into Claude. https://pulse-3k2.pages.dev/news/ef3bab4f4cb5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bd432b06db71 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/398282655666 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3e32c6de4421 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/94b65d747ea2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2058e8953c69 2026-07-02 monthly 0.7 https://external-preview.redd.it/emR0cGw2MGdodDloMaqCy_Aal1Qv7BQxldWdSTWFhuSBb2vK-dnAUFFzANwh.png?width=640&crop=smart&auto=webp&s=2ec779674a025aa09e12f0177a252dfd331f1cc5 Agentic Cyberdeck Dev I developed this around August '25, but never had real polished panels. So, here we are with some decent panels, and new speakers for voice Al inferencing. This has local agentic GPS, chat, voice, vis https://pulse-3k2.pages.dev/news/307e7f1ccd5a 2026-07-02 monthly 0.7 https://www.openra.net/images/social.jpg?t=2026-04-30-18-11 OpenRA Article URL: https://www.openra.net/ Comments URL: https://news.ycombinator.com/item?id=48697560 Points: 284 # Comments: 62 https://pulse-3k2.pages.dev/news/e6219a135501 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2278736523.jpeg?resize=1200,798 Asian AI startups launch Mythos-like models as Anthropic’s export ban drags on New models are launching in Asia that promise Mythos-like capabilities without fear of an export ban. U.S. AI labs may never recover this enormous market. https://pulse-3k2.pages.dev/news/4d5179528a86 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50f2ceeef9db 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb2b994f3b6a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aa7b21981f2d 2026-07-02 monthly 0.7 https://preview.redd.it/0qefnq339t9h1.png?width=640&crop=smart&auto=webp&s=5704660e1adef3ce2bec7636e69e9d0dd2cc9375 We built a calibration-aware Q4_K_M quant of Qwen3.5 0.8B that recovers 96.5% of the BF16 gap vs pure llama.cpp Q4_K_M (SpectralQuant) Hey everyone, We just released our first release candidate from Spectral Labs: a Qwen3.5 0.8B Q4_K_M built using a new calibration-aware quantization approach we're calling SpectralQuant . The goal he https://pulse-3k2.pages.dev/news/9b152c447df8 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/889ba322-2932-4e2d-8e4e-73d979222394_728x408.png Using Local Coding Agents Using Open-Weight Models in Local Coding Harnesses as an Alternative to Claude Code and Codex Subscriptions https://pulse-3k2.pages.dev/news/c918739db2a4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/56c1c8c936b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e980be08a839 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0d7ad537826c 2026-07-02 monthly 0.7 https://external-preview.redd.it/cC_sfjH7Gs-P-mHGItz-LtHAwWdt9KnPRrzcWQ7a5Uw.png?width=640&crop=smart&auto=webp&s=e56a79fd0896a3f18fab39b06394033173874862 Orthrus (diffusion head) trained Qwen 3.5/3.6 and Gemma 4 models are dropping soon "Hi all, we are finalized with our testing and are preparing the release pipeline. We will be releasing support for the Qwen3.5, Qwen3.6, and Gemma4 very soon. Alongside the model checkpoints, we will https://pulse-3k2.pages.dev/news/753b22dd3fd5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/561db02f7582 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/839c42dc40ae 2026-07-02 monthly 0.7 https://preview.redd.it/10pt6ourss9h1.png?width=640&crop=smart&auto=webp&s=defb1426ce10b31b7774576adabd99a56014f976 New deepseek vision model incoming? Hello guys, it seems like DeepSeek added a new vision mode to their application. Does this mean, that they will release a new vision model? Edit: Guys.it is not an OCR model. I have just asked it to d https://pulse-3k2.pages.dev/news/939f60d74900 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fdf3f3ef7208 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5ec372ba1106 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7afd558baafc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/77b38be2eb2d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c67c682452f0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fe43bf1a3127 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/db5d96ce3fcc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/539b2661cafb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/33c5179f3970 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!xf8R!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2899dbdf-7aed-499f-92b9-63cc194a604e_1328x932.png [AINews] OpenAI GPT-5.6 Sol / Terra / Luna — restricted to trusted partners Oddly tiered releases to both OAI and ANT on the same day. https://pulse-3k2.pages.dev/news/487bafbc973f 2026-07-02 monthly 0.7 https://preview.redd.it/q3383lp9fr9h1.jpeg?width=640&crop=smart&auto=webp&s=1ea775681484bc1f8dfdce34277825bba6351c26 fine-tuned LiquidAI’s LFM2.5-230M on Fable-5 coding traces - its better than I expected it to be fine-tuned LiquidAI’s LFM2.5-230M on Fable-5 traces and shipped it as GGUF tiny 230M coding-agent model. trained at 4096 ctx. exported Q4_K_M / Q8_0 / F16. runs locally. repo: https://hf.co/AKMESSI/lf https://pulse-3k2.pages.dev/news/0f01c291632c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/33082f3b3924 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d78bd1739970 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a75f09d1497 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/738df55b67c5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/da24c736e6fe 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2279025960.jpg?w=1024 Trump Admin releases Anthropic Mythos to be used by more than 100 US companies, agencies Over 100 companies and government agencies are reportedly authorized to use Mythos 5, including their non-American employees. https://pulse-3k2.pages.dev/news/609ec822e0bd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/49b4e621dd41 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23835/gradient.png ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation Abstract ABACUS is a unified vision-language model that performs object counting and related tasks through innovative spatial grounding, boundary-aware counting policies, and self-critical learning st https://pulse-3k2.pages.dev/news/b9dcb515e5e8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6cc910fb0183 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/58725d13d107 2026-07-02 monthly 0.7 https://daringfireball.net/graphics/df-wide-card.png Om Related: Om Malik has died - https://news.ycombinator.com/item?id=48678852 - June 2026 (161 comments) Comments URL: https://news.ycombinator.com/item?id=48693391 Points: 254 # Comments: 15 https://pulse-3k2.pages.dev/news/dbd4078f1ea3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ff38503de93a 2026-07-02 monthly 0.7 https://img.semafor.com/50a98e4cab1aadfa340671d35d9027ed27e6899b-740x493.png?rect=0,53,740,389&w=1200&h=630&q=75&auto=format U.S. allows Anthropic to release Mythos AI to ‘trusted’ US organizations https://archive.md/ArXuF https://www.nbcnews.com/tech/tech-news/us-government-gives-a... Comments URL: https://news.ycombinator.com/item?id=48692995 Points: 336 # Comments: 333 https://pulse-3k2.pages.dev/news/8b756646fe95 2026-07-02 monthly 0.7 https://physics.stackexchange.com/Content/Sites/physics/Img/apple-touch-icon@2.png?v=f58801408228 Why does kinetic energy increase quadratically, not linearly, with speed? (2011) Article URL: https://physics.stackexchange.com/questions/535/why-does-kinetic-energy-increase-quadratically-not-linearly-with-speed Comments URL: https://news.ycombinator.com/item?id=48692946 Points: https://pulse-3k2.pages.dev/news/f6d5350c34c6 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!6VLt!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fae1dbe91-1dcd-441c-a415-ce27b84ccc8b_1554x1548.png The month Generative AI lost its mojo June is not over, and anything could still happen, but a lot already has. https://pulse-3k2.pages.dev/news/326afa476552 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fee2b12bcae0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9ad3af891193 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-1244261698-2560x1440.jpg South Korea plans to train entire military as "drone warriors" Half-million strong military will train on drones as “universal combat tool.” https://pulse-3k2.pages.dev/news/56f32c6281a3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4065a4f25816 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3c81308d64bc 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/1afa2742f090a168b713ef338919f48647c0288db23927fb0bf8ef973a9429a0/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.4.8 langchain-anthropic==1.4.8 Changes since langchain-anthropic==1.4.7 release(anthropic): 1.4.8 ( #38490 ) fix(anthropic): keep initial text on content_block_start ( #38442 ) chore: bump langgraph-checkpoint from 4.1.0 to 4.1.1 i https://pulse-3k2.pages.dev/news/ae29768dabe4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b1b5ec40d7b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1d6882a164e6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3e27fd836aff 2026-07-02 monthly 0.7 https://www.eff.org/files/banner_library/3dprintca.jpg We can still stop California's 3D printer surveillance scheme Article URL: https://www.eff.org/deeplinks/2026/06/we-can-still-stop-californias-3d-printer-surveillance-scheme Comments URL: https://news.ycombinator.com/item?id=48692051 Points: 221 # Comments: 61 https://pulse-3k2.pages.dev/news/cfa380244628 2026-07-02 monthly 0.7 https://preview.redd.it/bsm9qhdzzo9h1.jpg?width=140&height=105&auto=webp&s=1c7f129099e470e4f1c60519a243c57cb08f1bcf Upgraded my budget build to multi-GPU for inference I added: 1x RTX 3090 - 610 USD 1x Arc A770 - 222 USD 1x PCIe x1 to 4x USB 3.0 PCIe riser New cpu cooler Specs: Modified Zalman Z9 Plus Case 2x Zotac RTX 3090 24 GB 1x Intel Arc A770 16 GB 48 GB DDR4 R https://pulse-3k2.pages.dev/news/a05dde79a6d0 2026-07-02 monthly 0.7 https://preview.redd.it/yjkv9o56zo9h1.png?width=640&crop=smart&auto=webp&s=c682f7b0a3d3b23800757211c6e29dbd959b92c8 Nemotron-3-Super-120B-A12B (hybrid Mamba+MoE) holds perfect needle retrieval to 504K tokens on 4×3090 TLDR: The Mamba/SSM layers keep a constant-size recurrent state instead of a growing KV cache, so context is nearly free. Full needle retrieval at half a million tokens, fully on-GPU, ~71GB. The new i https://pulse-3k2.pages.dev/news/d1f2cdd1ae2a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26080/gradient.png Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents Abstract Reinforcement learning post-training enables effective step-level scoring for language models without requiring dedicated reward model training by deriving an implicit advantage function call https://pulse-3k2.pages.dev/news/f141e2bdb260 2026-07-02 monthly 0.7 https://external-preview.redd.it/GM9kD6YGk7i-IzPKn2wk8rlER2RNIQavhEfvHEd2ViA.png?width=640&crop=smart&auto=webp&s=2c085641f3c145e47f7a1edb11fc008914365161 vulkan: make TP viable by pwilkin · Pull Request #25051 · ggml-org/llama.cpp The legend Piotr has taken a pass at making Vulkan Tensor Parallel somewhat usable, really looking forward to seeing this evolve   submitted by   /u/TKGaming_11 [link]   [comments] https://pulse-3k2.pages.dev/news/2098edd238b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5eee074db385 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2235233117-1024x648.jpg NYT slams Microsoft for building copyright-infringing supercomputer for OpenAI NYT shifts OpenAI/Microsoft copyright claims after SCOTUS ruling against Sony. https://pulse-3k2.pages.dev/news/c58c5b1476f5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5a7b65ab6c06 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7b32063c660f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26907/gradient.png Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation Abstract A unified agentic framework called Qwen-Image-Agent is proposed to address the context gap in text-to-image generation by progressively constructing complete generation context through planni https://pulse-3k2.pages.dev/news/e8d94a02a53e 2026-07-02 monthly 0.7 https://preview.redd.it/uozoni5xeo9h1.jpeg?width=640&crop=smart&auto=webp&s=3bdb5da1ab2a2f1940fed16aca1b281f867807e1 "What should I do?" - consider post-training This is in response to the common post where OP has acquired some cool hardware and is wondering what to do with it. The standard response is always (1) download model X, (2) benchmark it on tps, (3) https://pulse-3k2.pages.dev/news/56e0773adbaf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5a1c9c8bdff6 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2025/08/genai-press-project-aiq-3503101-1920x1080-1.jpg Deploy a Production-Ready NVIDIA AI-Q Blueprint on Oracle Cloud Infrastructure AI agents have changed a lot in the last two years. The first could only answer one question at a time. Then came multi-turn chat, where the model could keep... https://pulse-3k2.pages.dev/news/7848934ac11b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cd2ad53be658 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1656bcd15dac 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/GettyImages-2273245180.jpg?resize=1200,800 OpenAI limits GPT-5.6 rollout after government request, says restrictions shouldn’t be the norm “We don’t believe this kind of government access process should become the long-term default,” says OpenAI. “It keeps the best tools from users, developers, enterprises, cyber defenders, and global pa https://pulse-3k2.pages.dev/news/5b06356252b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/29d49b945105 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/08/openai-india.jpg?resize=1200,800 OpenAI poaches Uber India chief to lead its biggest market outside the US The hire marks OpenAI's latest push into India, expanding offices, partnerships and hiring. https://pulse-3k2.pages.dev/news/5e81afa6f856 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/22860fcb0315 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/07/GettyImages-2219673294.jpg?resize=1200,750 Why everyone from OpenAI to SpaceX is building their own chips (and turning up the heat on Nvidia) Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending.   OpenAI just shared its plans to spice things up with Jalapeño, its custom inference https://pulse-3k2.pages.dev/news/e424953ec42e 2026-07-02 monthly 0.7 https://external-preview.redd.it/Njl1ZjBud3l4bjloMQgCGEovDvlA4wZUYvzh4VzoQ9LL5IEIPTIX4LUNl0ZX.png?width=640&crop=smart&auto=webp&s=e084bc279ad18057da49c39d74985374d9d0adf7 Streaming medical STT running locally on a MacBook Quick teaser of what I’ve been working on over the last few weeks: a streaming medical speech-to-text model that runs fully on-device. This demo is running locally on a MacBook through MLX. Still doin https://pulse-3k2.pages.dev/news/c34ddae36d7b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0078ff24e76e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4c3bfa9eb5a7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7237af98562e 2026-07-02 monthly 0.7 https://preview.redd.it/iiiqwt96tn9h1.png?width=140&height=80&auto=webp&s=7cf678d850fd1c10d83fa746bac68183c8a5dd43 Getting real work out of a 4B local model: the distill-on-idle pipeline behind an on-device "memory" assistant https://preview.redd.it/iiiqwt96tn9h1.png?width=3004&format=png&auto=webp&s=f02fba9f64e27ac91b2ae4cd478842106b294366 https://preview.redd.it/47cb5u96tn9h1.png?width=3024&format=png&auto=webp&s=b1cee93 https://pulse-3k2.pages.dev/news/238c8d8bf6e8 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/48XpR5dxhE6jJQ03HTUnWZ/ac68fbfb7761fa72ac7442c6744dba56/_.png?w=1600&h=900&fit=fill Previewing GPT‑5.6 Sol: a next-generation model Article URL: https://openai.com/index/previewing-gpt-5-6-sol/ Comments URL: https://news.ycombinator.com/item?id=48689028 Points: 222 # Comments: 199 https://pulse-3k2.pages.dev/news/53c25800822c 2026-07-02 monthly 0.7 https://i0.wp.com/stratechery.com/wp-content/uploads/2026/06/WhatsApp-Image-2026-06-25-at-13.06.10.jpeg?resize=1536%2C1024&ssl=1 2026.26: Summer Vibes The best Stratechery content from the week of June 22, 2026, including a vibe coding adventure, Apple in Europe, and a midsummer mailbag. https://pulse-3k2.pages.dev/news/6963fd684958 2026-07-02 monthly 0.7 https://preview.redd.it/e73tv7d6qn9h1.png?width=640&crop=smart&auto=webp&s=3469d81ed3fdf10fdee4441eebd96615d76d60e4 Why do people keep investing in Intel for AI? If you get a good deal on some Xeons with a lot of memory bandwidth, or a cheap GPU for home inference, that's cool, no disrespect. But how in the hell are Wall Street types considering Intel part of https://pulse-3k2.pages.dev/news/39cab4851515 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e5b4417080bf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e11467610a30 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/white-house-conklin.jpg?w=1024 It’s not about Anthropic vs. OpenAI anymore AI models have progressed to the point where their capabilities have real political consequences. Dealing with those consequences will require collective action. https://pulse-3k2.pages.dev/news/5d61eb79f80c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6a7569d3ad52 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cd278d56ab37 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/Model-Optimizer-768x432.png Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer As context windows grow longer, moving large model weights efficiently becomes critical to performance. A common way to address this is quantization, an... https://pulse-3k2.pages.dev/news/945a103853b9 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-economics-david-autor.jpg?itok=3NT1SZ0s David Autor named head of the Department of Economics A faculty member since 1999, Autor is a leading researcher in artificial intelligence and the work of the future. https://pulse-3k2.pages.dev/news/7b322cb91ebe 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26875/gradient.png Information-Aware KV Cache Compression for Long Reasoning Abstract InfoKV is an entropy-aware KV cache compression framework that enhances long-context reasoning in LLMs by incorporating information-theoretic signals alongside attention weights. Generated by https://pulse-3k2.pages.dev/news/43027dd9e764 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a1c54e0ec65 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f089bb6ea101 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d7fe24c4bb5a 2026-07-02 monthly 0.7 https://preview.redd.it/r5m95bf5cn9h1.gif?width=640&crop=smart&s=f9e1900b5e007ea3a72c74d4089c56fdeed22f49 A debugger for RL reward functions that detects reward hacking during training [P] While experimenting with GRPO training, I kept running this shit that when reward increases, it becomes difficult to tell whether the policy is genuinely improving or simply exploiting the reward func https://pulse-3k2.pages.dev/news/7904785b672d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8183465de436 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!DSZ0!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe0c59436-9586-4823-a358-00cfa77a0bff_1040x778.png White House Will Ad Hoc Decide Who Can Individually Access GPT-5.6 We have a new standard policy for releasing frontier AI models. It is not good. https://pulse-3k2.pages.dev/news/50bf8c9c533c 2026-07-02 monthly 0.7 http://commerce.jolla.com/cdn/shop/files/jolla_phone_hero_double.png?v=1772105235 Jolla Phone (October 2026) Article URL: https://commerce.jolla.com/products/jolla-phone-october-2026 Comments URL: https://news.ycombinator.com/item?id=48687272 Points: 251 # Comments: 137 https://pulse-3k2.pages.dev/news/1053b1532d73 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27277/gradient.png EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting Abstract EO-WM is a video diffusion transformer for multispectral Earth Observation forecasting that incorporates physically informed conditioning frameworks to better capture weather-driven uncertain https://pulse-3k2.pages.dev/news/977202b63c7a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27192/gradient.png LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Abstract Score-based generative modeling reveals that side networks contribute likelihood scores to conditional control, leading to improved training efficiency through likelihood score alignment regu https://pulse-3k2.pages.dev/news/3bd391c41e01 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ec2e1b2483bf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/088661655e77 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/09/GettyImages-2214107176.jpg?resize=1200,800 OpenAI’s Jalapeño chip is Big Tech’s spiciest move away from Nvidia Nvidia has dominated the AI chip market for years, but the era of total dependence might be ending.   OpenAI just shared its plans to spice things up with Jalapeño, its custom inference https://pulse-3k2.pages.dev/news/d792561d10ce 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7af535edca9f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6a900b2c4e70 2026-07-02 monthly 0.7 https://preview.redd.it/ten19qwnlm9h1.jpeg?width=640&crop=smart&auto=webp&s=a9b11edc92816226465e2eab69977089e6f3b093 Combined RTX5080 & 4060 for inference ? Hey, I currently use my RTX 4060 8G for inference with Qwen 3.6-35B-A3B Q8 (q8 for everything weight,value,key) max 60k context per agent (for quality over speed, with CPU &DDR4 offloading) but : I on https://pulse-3k2.pages.dev/news/8ca8c5cb98f4 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/Early-Stage-2024-audience.jpg?resize=1200,800 Early Bird pricing ends tonight for TechCrunch Founder Summit Save up to $190 on your pass to TechCrunch Founder Summit 2026. Early Bird pricing ends today, at 11:59 p.m. PT, after which rates increase. Register now. https://pulse-3k2.pages.dev/news/cdeb37f2167c 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-csail-Masked-RL.jpg?itok=AWLkvb-L LLMs help robots understand vague instructions and focus on key details To help robots do chores in places like homes and factories, a new approach from MIT uses one language model to clarify users’ instructions, then another to ignore irrelevant info. https://pulse-3k2.pages.dev/news/98cb98bd264b 2026-07-02 monthly 0.7 https://nesbitt.io/images/boxes.png Incident CVE-2026-LGTM Article URL: https://nesbitt.io/2026/06/26/incident-report-cve-2026-lgtm.html Comments URL: https://news.ycombinator.com/item?id=48686093 Points: 225 # Comments: 39 https://pulse-3k2.pages.dev/news/45a2d35c7c26 2026-07-02 monthly 0.7 https://alephneuro.com/blog/mindeye-1.jpg Ultrasound imaging of the brain Article URL: https://alephneuro.com/blog/ultrasound-brain Comments URL: https://news.ycombinator.com/item?id=48685558 Points: 202 # Comments: 71 https://pulse-3k2.pages.dev/news/2e4d6e7e5731 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c2a599fe83f8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14397/gradient.png Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments Abstract A web-based benchmark evaluates agent generalization across challenging scenarios, revealing significant gaps between current agentic systems and human performance in temporal perception, gra https://pulse-3k2.pages.dev/news/6aec256b2a2a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27288/gradient.png When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models Abstract Multi-model systems face fundamental accuracy limits determined by the rate at which all models fail simultaneously, regardless of their individual correlations or ensemble strategies. Genera https://pulse-3k2.pages.dev/news/327f741fc689 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0d6baf4d4cee 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d247140ab7dd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/30f48121decc 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/48XpR5dxhE6jJQ03HTUnWZ/ac68fbfb7761fa72ac7442c6744dba56/_.png?w=1600&h=900&fit=fill Previewing GPT-5.6 Sol: a next-generation model OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack. https://pulse-3k2.pages.dev/news/529be8a1b1e3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27364/gradient.png PhysiFormer: Learning to Simulate Mechanics in World Space Abstract PhysiFormer uses coordinate-space diffusion to generate physically-plausible 3D object motions without explicit inductive biases, enabling efficient multi-object reasoning and generalization https://pulse-3k2.pages.dev/news/cdc04a32bd29 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/21423a63ae3a 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/z1p2ZM45Aok0e477GP3C8/b9103bbf8d6830a903e8f6ca5f6f10eb/query_web_analytics_in_the_vercel_cli_og_card.jpg Query Web Analytics from the Vercel CLI You can now query Web Analytics datapoints directly through the Vercel CLI. Using the vercel metrics command, you can pull page views, visitors, and custom events for your Vercel projects to analyze t https://pulse-3k2.pages.dev/news/e4c9de6f2511 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16613/gradient.png CoffeeBench: Benchmarking Long-Horizon LLM Agents in Heterogeneous Multi-Agent Economies Abstract CoffeeBench evaluates LLM agents in a multi-agent economic simulation where firms interact over 90 days to maximize profits, revealing differences in communication patterns and performance am https://pulse-3k2.pages.dev/news/d17cd8ef60b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e38838cfcbd9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2f1c3ebca956 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/422065993eb9 2026-07-02 monthly 0.7 https://opensourcelowtech.org/img/DanielConnell.png Open Source Low Tech Article URL: https://opensourcelowtech.org/ Comments URL: https://news.ycombinator.com/item?id=48683098 Points: 277 # Comments: 57 https://pulse-3k2.pages.dev/news/6f0b09f3562b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/32b7b38a53f3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/790c35aae2b5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e4abbe12d0ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5676379d93f9 2026-07-02 monthly 0.7 https://preview.redd.it/xklak512kk9h1.png?width=640&crop=smart&auto=webp&s=79c6502a745914f94a4e32d60cbabe80cde52974 Ornith 1.0 - terminology and concepts explained (basic) I made a quick guide for myself while wanting to try the new models, so I share it with you. It's pretty basic, but it may be useful for new people here. I also published the repo with the open code c https://pulse-3k2.pages.dev/news/891d2e7cb92c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21795/gradient.png Discretizing Reward Models Abstract Reward models in reinforcement learning suffer from oversensitivity issues where they assign different scores to equally good responses, leading to poor policy learning, but this can be mitig https://pulse-3k2.pages.dev/news/ab704871b5f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/85f6027d5e1f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e12bf9669cee 2026-07-02 monthly 0.7 https://akrites.org/wp-content/uploads/sites/9/2026/06/social.png We All Depend on Open Source. We Will Defend It Together Article URL: https://akrites.org/letter/ Comments URL: https://news.ycombinator.com/item?id=48682737 Points: 280 # Comments: 137 https://pulse-3k2.pages.dev/news/94b45dad9f49 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18394/gradient.png JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting Abstract JetSpec is a speculative decoding framework that combines efficient forward drafting with causal conditioning to improve LLM inference speed and acceptance rates across various benchmarks. Ge https://pulse-3k2.pages.dev/news/6a65ca19856a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16517/gradient.png How Post-Training Shapes Biological Reasoning Models Abstract Post-training stages in biological reasoning models differently affect generalization, with continued pre-training aligning models with biological language, supervised fine-tuning improving i https://pulse-3k2.pages.dev/news/ecaaee4cc866 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2c704fea2a0a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27326/gradient.png Hallucination in World Models is Predictable and Preventable Abstract World models exhibit hallucinations in low-data regions of state-action space, which can be detected and mitigated using data-centric signals and coverage-aware sampling techniques. Generated https://pulse-3k2.pages.dev/news/ca49759e3ee9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26300/gradient.png The Verification Horizon: No Silver Bullet for Coding Agent Rewards Abstract Verification challenges in AI agents arise from the difficulty of aligning proxy signals with human intent, requiring adaptive verification systems that evolve alongside generative capabiliti https://pulse-3k2.pages.dev/news/acd8e41abd17 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-guided Convolutional Neural Network for Domain Growth Prediction in Systems with Conserved Kinetics arXiv:2606.26128v1 Announce Type: new Abstract: The spatiotemporal evolution of many physical, chemical, and biological systems is described by nonlinear partial differential equations (PDEs). Recentl https://pulse-3k2.pages.dev/news/fc90fdfcd48d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation arXiv:2606.26164v1 Announce Type: new Abstract: Finding all modes of a multimodal black-box function is a fundamental challenge in optimization, Bayesian inference, and scientific computing. Existing https://pulse-3k2.pages.dev/news/e7ab68527cb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Implementation of reinforcement learning in chemical reaction networks: application to phototaxis as curiosity-driven exploration arXiv:2606.26168v1 Announce Type: new Abstract: Living systems navigate environments using noisy and incomplete sensory signals. In unicellular algae, phototaxis is often modeled as a mechanistic run- https://pulse-3k2.pages.dev/news/3c74d60d2390 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis arXiv:2606.26169v1 Announce Type: new Abstract: Neural Architecture Search (NAS) has emerged as a pivotal technique in optimizing the design of Generative Adversarial Networks (GANs), automating the s https://pulse-3k2.pages.dev/news/5db86f5ff8a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KG-TRACE: A Neuro-Symbolic Framework for Mechanistic Grounding in Antimicrobial Resistance Prediction arXiv:2606.26179v1 Announce Type: new Abstract: While WGS-based AMR prediction has reached high accuracy, existing models lack a mechanism to ground neural attributions in established biological pathw https://pulse-3k2.pages.dev/news/a33c5cf78619 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Necessary but Not Sufficient: Temperature Control and Reproducibility in LLM-as-Judge Safety Evaluations arXiv:2606.26185v1 Announce Type: new Abstract: LLM-as-judge ("grader") components are now standard in evaluation harnesses, including safety evaluations where a pass/fail verdict may gate downstream https://pulse-3k2.pages.dev/news/0b4963c02e2a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Clue-Guided Money Laundering Group Discovery arXiv:2606.26189v1 Announce Type: new Abstract: Money Laundering Group Discovery (MLGD) aims to identify hidden criminal groups and recover their complete structures in large-scale financial networks. https://pulse-3k2.pages.dev/news/dc6c5468e1b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Federated Hash Projected Latent Factor Learning arXiv:2606.26192v1 Announce Type: new Abstract: Hash Learning (HL) is an efficient representation learning approach that maps real-valued data into compact binary representations. Traditional HL metho https://pulse-3k2.pages.dev/news/a27564c23124 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Statistical and Structural Approaches to Algorithmic Fairness arXiv:2606.26200v1 Announce Type: new Abstract: Modern machine learning systems have outgrown their origins as isolated predictive constructs, evolving into complex socio-technical architectures that https://pulse-3k2.pages.dev/news/fbaa2e323da6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery arXiv:2606.26204v1 Announce Type: new Abstract: Floods frequently impact regions around the world. Rapid and accurate flood detection is crucial for emergency response and timely mitigation of human a https://pulse-3k2.pages.dev/news/98583ab72ad1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A General Framework for Learning Algebraic Properties from Cayley Graphs using Graph Neural Networks arXiv:2606.26212v1 Announce Type: new Abstract: A Graph Neural Network (GNN) framework for predicting the solvability of finite groups from their Cayley graph representations was introduced in [1]. In https://pulse-3k2.pages.dev/news/f1ce8d629349 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fast LeWorldModel arXiv:2606.26217v1 Announce Type: new Abstract: Joint-Embedding Predictive Architectures (JEPAs), including recent LeWorldModel (LeWM), have become a promising foundation for reconstruction-free visua https://pulse-3k2.pages.dev/news/d29fc2d3ce45 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dataset Usage Inference without Shadow Models or Held-out Data arXiv:2606.26257v1 Announce Type: new Abstract: How much of my data was used to train a machine learning model? Dataset Usage Inference (DUI) aims to answer this by estimating what fraction of a datas https://pulse-3k2.pages.dev/news/4c6d6e32a11a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Equivariance and Augmentation for Bayesian Neural Networks arXiv:2606.26273v1 Announce Type: new Abstract: Symmetries are important for many deep learning tasks, ranging from applications in the sciences to medical imaging. However, there is an ongoing debate https://pulse-3k2.pages.dev/news/65359ce23048 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SSM Adapters via Hankel Reduced-order Modeling: Injection Site Determines Task Suitability in Long-Context Fine-Tuning arXiv:2606.26290v1 Announce Type: new Abstract: While parameter-efficient fine-tuning (PEFT) typically targets attention projectors, its efficacy for tasks requiring sequential state accumulation rema https://pulse-3k2.pages.dev/news/cd04e5231e7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Red Queen G\"odel Machine: Co-Evolving Agents and Their Evaluators arXiv:2606.26294v1 Announce Type: new Abstract: Self-improving agents are state-of-the-art (SOTA) on agentic coding benchmarks and have recently been extended to general domains. However, their search https://pulse-3k2.pages.dev/news/8e3525de2bc5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png High-Probability PL-SGD with Markovian Noise: Optimal Mixing and Tail Dependence arXiv:2606.26316v1 Announce Type: new Abstract: We study first-order methods for smooth objectives satisfying the Polyak-\L{}ojasiewicz (PL) condition when gradient samples are generated by an exogeno https://pulse-3k2.pages.dev/news/f8fd5f3393f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EVOM: Agentic Meta-Evolution of Actor-Critic Architectures for Reinforcement Learning arXiv:2606.26327v1 Announce Type: new Abstract: In actor-critic reinforcement learning, network architectures are typically manually designed. Automating this design is challenging because each candid https://pulse-3k2.pages.dev/news/be89c31bcc6c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mesh-RL: Coupled subgrid reinforcement learning arXiv:2606.26333v1 Announce Type: new Abstract: Reinforcement learning in large or sparse-reward environments suffers from slow temporal-difference reward propagation, as value information spreads onl https://pulse-3k2.pages.dev/news/5864b566ac59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EMA-FS: Accelerating GBDT Training via Gain-Informed Feature Screening arXiv:2606.26337v1 Announce Type: new Abstract: Gradient Boosted Decision Trees (GBDT), exemplified by LightGBM, spend a dominant fraction of training time -- typically 65-70% -- constructing per-feat https://pulse-3k2.pages.dev/news/946c52934821 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution arXiv:2606.26361v1 Announce Type: new Abstract: ML foundation models are able to emulate atmospheric dynamics accurately and efficiently but operate as opaque ``black boxes''. We investigate the inter https://pulse-3k2.pages.dev/news/483b733c4214 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SOLAR: AI-Powered Speed-of-Light Performance Analysis arXiv:2606.26383v1 Announce Type: new Abstract: How fast could a deep-learning model run on target hardware, and how far is today's implementation from that limit? These questions are central to softw https://pulse-3k2.pages.dev/news/19ebbd249567 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization arXiv:2606.26396v1 Announce Type: new Abstract: Pre-trained transformers have demonstrated remarkable generalization abilities, at times extending beyond the scope of their training data. Yet, real-wo https://pulse-3k2.pages.dev/news/b484dbdf7f75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deterministic Pareto-Optimal Policy Synthesis for Multi-Objective Reinforcement Learning arXiv:2606.26397v1 Announce Type: new Abstract: Real-world decision-making often requires balancing multiple conflicting objectives, a challenge that standard Reinforcement Learning (RL) frequently ad https://pulse-3k2.pages.dev/news/86e9c8fdd71f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Feedforward Networks: Reentry Neural Systems as the Fundamental Basis of Subjecthood and Intrinsic Safety of Next-Generation AGI arXiv:2606.26406v1 Announce Type: new Abstract: We propose a complete architectural blueprint for safe artificial general intelligence based on a closed reentry loop (D I cycle). In contrast to feedfo https://pulse-3k2.pages.dev/news/40106e94443e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting arXiv:2606.26421v1 Announce Type: new Abstract: State-of-the-art medium-range AI weather models can outperform traditional Numerical Weather Prediction (NWP) but require massive training budgets. This https://pulse-3k2.pages.dev/news/5f56b5cfb1c7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Training & Inference for Forecasting: Linking Winner-Take-All back to GMMs arXiv:2606.26424v1 Announce Type: new Abstract: Trajectory forecasting for autonomous driving has advanced rapidly, yet representative models often produce uninformative posteriors over forecast modes https://pulse-3k2.pages.dev/news/1cba44d20411 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DualEval: Joint Model-Item Calibration for Unified LLM Evaluation arXiv:2606.26429v1 Announce Type: cross Abstract: Current LLM evaluation relies on two complementary but often disconnected signals: static benchmarks with objective correctness labels and arena-style https://pulse-3k2.pages.dev/news/8381b182260f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees arXiv:2606.26432v1 Announce Type: new Abstract: Tabular foundation models achieve strong accuracy on choice prediction tasks, but their predictions often violate the economic logic those tasks require https://pulse-3k2.pages.dev/news/60d7a685af23 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization arXiv:2606.26453v1 Announce Type: new Abstract: We present KernelPro, a closed-loop multi-agent system that automatically generates, profiles, and iteratively optimizes GPU kernel code by integrating https://pulse-3k2.pages.dev/news/f1a4599556b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Finding the Time to Think: Learning Planning Budgets in Real-Time RL arXiv:2606.26463v1 Announce Type: new Abstract: Deliberating takes time. In real-time settings, that time is not free. Standard reinforcement learning (RL) sidesteps this as the environment waits inde https://pulse-3k2.pages.dev/news/f89f3d735846 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Causal Foundation Model for Structure and Outcome Prediction arXiv:2606.26467v1 Announce Type: new Abstract: We introduce TabPFN-CFM, a causal foundation model that can handle multiple causal problems. TabPFN-CFM predicts both causal structure and outcomes from https://pulse-3k2.pages.dev/news/8573085248f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Epiphany-Aware KV Cache Eviction Without the Attention Matrix arXiv:2606.26472v1 Announce Type: cross Abstract: As reasoning models emit chains of thought tens of thousands of tokens long, KV cache increasingly becomes a deployment bottleneck. Existing cache evi https://pulse-3k2.pages.dev/news/aaa5b1251a65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Does Quality-Aware Multimodal Fusion Matter? A Leakage-Safe Diagnostic for Decision-Level Dependence arXiv:2606.26473v1 Announce Type: new Abstract: Many multimodal systems estimate the reliability of each modality and weight their contributions to the final prediction. However, it remains unclear wh https://pulse-3k2.pages.dev/news/94b228baf01a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Localizing RL-Induced Tool Use to a Single Crosscoder Feature arXiv:2606.26474v1 Announce Type: new Abstract: Fine-tuning through RL reshapes the internal representations of language models to enable agentic behaviors such as tool use, yet the mechanistic basis https://pulse-3k2.pages.dev/news/14213eaf9083 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retrieval-Warmed Energy-Based Reasoning: A Five-Arm Ablation Methodology for Diffusion-as-Inference on Structured Reasoning Tasks arXiv:2606.26476v1 Announce Type: new Abstract: Warm-started diffusion samplers accelerate iterative inference, but it is rarely clear which part of the pipeline carries the gain. We study \textbf{ret https://pulse-3k2.pages.dev/news/22b521013205 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Survives When You Compress a Recursive Reasoner for the Edge? arXiv:2606.26488v1 Announce Type: new Abstract: Recursive reasoning models can solve complex structured tasks with only a few million parameters by repeatedly updating a latent state. Deploying these https://pulse-3k2.pages.dev/news/d87f0f233a5b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Probabilistic Filters with Strictly Proper Scoring Rules arXiv:2606.26497v1 Announce Type: new Abstract: Bayesian filtering of partially and noisily observed dynamical systems seeks to infer the evolving conditional distribution of the state of a dynamical https://pulse-3k2.pages.dev/news/62c423307345 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting arXiv:2606.26520v1 Announce Type: new Abstract: Mammalian cell-culture processes underpin the manufacture of many biopharmaceuticals, yet keeping a run on track is hard: critical process parameters dr https://pulse-3k2.pages.dev/news/9321ff47577a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Theory-Scale Auto-Formalization of Logics for Computer Science arXiv:2606.26525v1 Announce Type: new Abstract: Auto-formalization is critical for scalable formal verification, but existing progress largely focuses on isolated statements, while theory-scale auto-f https://pulse-3k2.pages.dev/news/e3d3951ebdf9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sample-efficient Transfer Reinforcement Learning via Adaptive Reward Shaping and Policy-Ratio Reweighting Strategy arXiv:2606.26527v1 Announce Type: new Abstract: Transfer learning improves policy learning efficiency by reusing knowledge from source tasks, providing a feasible paradigm for safe and efficient auton https://pulse-3k2.pages.dev/news/78c4e7e4f122 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CascadeFormer: Depth-Tapered Transformers Motivated by Gradient Fan-in Asymmetry arXiv:2606.26538v1 Announce Type: new Abstract: Deep Transformers are composed of uniformly stacked residual blocks, yet their deepest layers often add little value. We present two efficiency methods https://pulse-3k2.pages.dev/news/2d8d93410a77 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Large Language Models Reliably Code Qualitative Humanitarian Data? A Benchmark Study Against Human Expert Adjudication arXiv:2606.26541v1 Announce Type: new Abstract: Data from affected populations are crucial for informing humanitarian response, but their value depends on timely and consistent interpretation of nuanc https://pulse-3k2.pages.dev/news/5adf5076797d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revisiting Action Factorization for Complex Action Spaces arXiv:2606.26574v1 Announce Type: new Abstract: Many real-world control problems involve hybrid discrete-continuous action spaces. For example, steering and signaling in autonomous driving, and aiming https://pulse-3k2.pages.dev/news/04dc5e37acd1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SharQ: Bridging Activation Sparsity and FP4 Quantization for LLM Inference arXiv:2606.26587v1 Announce Type: new Abstract: Low-bit floating-point formats and semi-structured sparsity are increasingly supported by modern accelerators, yet combining them for LLM activation com https://pulse-3k2.pages.dev/news/111c39ef8626 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Empirical Software Engineering TerraProbe: A Layered-Oracle Framework for Detecting Deceptive Fixes in LLM-Assisted Terraform arXiv:2606.26590v1 Announce Type: new Abstract: Security misconfigurations in Terraform Infrastructure-as-Code are a growing risk in cloud deployments, and large language models are increasingly used https://pulse-3k2.pages.dev/news/c64bf186bba0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sketched Linear Contrastive Learning: Approximation, Optimization, and Statistical Scaling arXiv:2606.26617v1 Announce Type: new Abstract: Scaling laws describe how learning performance varies with model size, data size, and compute. While recent theoretical work has established scaling law https://pulse-3k2.pages.dev/news/62419bd88820 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Discovering Millions of Interpretable Features with Sparse Autoencoders arXiv:2606.26620v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have emerged as a powerful tool for decomposing superposed language model representations into sparse and interpretable featu https://pulse-3k2.pages.dev/news/e9bb5f62bc2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Weights to Features: SAE-Guided Activation Regularization for LLM Continual Learning arXiv:2606.26629v1 Announce Type: cross Abstract: Weight-space regularization methods such as Elastic Weight Consolidation (EWC) are the standard approach to catastrophic forgetting in continual learn https://pulse-3k2.pages.dev/news/41539310ca9c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Target-Aware Bandit Allocation for Scalable Surrogate Optimization in Chemical Space arXiv:2606.26657v1 Announce Type: new Abstract: Identifying high-utility candidates from massive discrete spaces under expensive evaluations is a recurring challenge across the sciences, with structur https://pulse-3k2.pages.dev/news/03300928252c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-Shot Size Transfer for Neural ODEs on Sparse Random Graphs: Graphon Limits and Adjoint Convergence arXiv:2606.26662v1 Announce Type: new Abstract: Graph Neural Differential Equations (GNDEs) model continuous-time graph dynamics by parameterizing Neural ODE velocity fields with Graph Neural Networks https://pulse-3k2.pages.dev/news/f58cfff55f24 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PersistentKV: Page-Aware Decode Scheduling for Long-Context LLM Serving on Commodity GPUs arXiv:2606.26666v1 Announce Type: new Abstract: Autoregressive large language model (LLM) serving is increasingly limited by key-value (KV) cache movement rather than dense matrix multiplication. Mode https://pulse-3k2.pages.dev/news/d651dc638dfc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Algorithmic Foundations of Deep Learning: Complexity-Theoretic Rates and a Characterization of Universal Approximation arXiv:2606.26705v1 Announce Type: new Abstract: Feedforward neural network (NN) expressivity is typically studied by emulating optimal basis-expansion schemes. While powerful, this perspective is inco https://pulse-3k2.pages.dev/news/337bd90cb026 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HyperDFlash: MHC-Aligned Block Speculative Decoding with Gated Residual Reduction arXiv:2606.26744v1 Announce Type: cross Abstract: We present HyperDFlash, a block-parallel speculative decoding framework tailored to the novel multi-hyper-connection (MHC) architecture proposed by De https://pulse-3k2.pages.dev/news/ab117c3c1bcc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structure Before Collapse: Transient semantic geometry in next-token prediction arXiv:2606.26749v1 Announce Type: cross Abstract: Neural Collapse predicts that balanced one-hot classification pushes model representations to be equally far from each other; a symmetric configuratio https://pulse-3k2.pages.dev/news/68d28f0deb83 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Batch-Invariant Spectral Intelligence for Robust and Explainable Insect Authentication arXiv:2606.26757v1 Announce Type: new Abstract: Edible insects offer an efficient source of alternative protein, requiring less land, water and emitting less greenhouse gas than conventional livestock https://pulse-3k2.pages.dev/news/a7e42b42b54a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork arXiv:2606.26772v1 Announce Type: new Abstract: Differentially private (DP) training of neural networks is often hindered by the large amount of noise required by gradient-based methods such as DP-SGD https://pulse-3k2.pages.dev/news/8df986d341ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reproducibility Study of "AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models" arXiv:2606.26783v1 Announce Type: cross Abstract: Fang et al. (2025) introduced a null-space constrained projection, named AlphaEdit, for locate-then-edit knowledge editing methods, theoretically guar https://pulse-3k2.pages.dev/news/ad47fd46409d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing arXiv:2606.26787v1 Announce Type: cross Abstract: Traditional dynamic pricing models in large-scale e-commerce suffer from limited interpretability, poor utilization of unstructured information, and m https://pulse-3k2.pages.dev/news/3e441e3a467b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reasoning Quality Emerges Early: Data Curation for Reasoning Models arXiv:2606.26797v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) on a small, high-quality set of long reasoning traces is an effective approach for eliciting strong reasoning capabilities https://pulse-3k2.pages.dev/news/15e89d04cd53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantization in Federated Learning: Methods, Challenges and Future Directions arXiv:2606.26822v1 Announce Type: new Abstract: Federated Learning (FL) has become a foundational paradigm for privacy-preserving distributed intelligence, yet its scalability remains fundamentally co https://pulse-3k2.pages.dev/news/03834beadf8c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Asymptotically Optimal Learning for Parametric Prophet Inequalities arXiv:2606.26893v1 Announce Type: new Abstract: We study learning in prophet inequalities with i.i.d. rewards drawn from an exponential-type parametric family with an unknown parameter $\theta$, a cla https://pulse-3k2.pages.dev/news/71f341e76abb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GEOALIGN: Geometric Rollout Curation for Robust LLM Reinforcement Learning arXiv:2606.26917v1 Announce Type: new Abstract: Online reinforcement learning is widely used to align large language models (LLMs) with reward signals, yet training can be unstable under noisy or miss https://pulse-3k2.pages.dev/news/a09992ab32e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decision-Aligned Evaluation of Uncertainty Quantification arXiv:2606.26990v1 Announce Type: new Abstract: Uncertainty estimates in machine learning are typically evaluated using generic metrics such as the negative log-likelihood and expected calibration err https://pulse-3k2.pages.dev/news/78aef7f87aa1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty quantification via conformal prediction in data assimilation arXiv:2606.27001v1 Announce Type: new Abstract: Quantifying the evolution of uncertainty is critical to both probabilistic forecasting and data assimilation in numerical weather prediction. In this st https://pulse-3k2.pages.dev/news/e62b4fbc51f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Generalization Theory for JEPA-Based World Models arXiv:2606.27014v1 Announce Type: new Abstract: Joint Embedding Predictive Architectures (JEPAs) have recently emerged as a promising paradigm for world modeling by learning predictive dynamics in a l https://pulse-3k2.pages.dev/news/d67aa8102dc4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA arXiv:2606.27023v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) applied to Medical Visual Question Answering (VQA) tend to produce overconfident outputs regardless of actual https://pulse-3k2.pages.dev/news/3200d0992d22 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Symplectic Neural Networks for learning Generalized Hamiltonians arXiv:2606.27029v1 Announce Type: new Abstract: Hamiltonian Neural Networks (HNNs) integrate physical priors into neural models by learning a system's Hamiltonian, improving generalization and sample https://pulse-3k2.pages.dev/news/860278c73387 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading arXiv:2606.27032v1 Announce Type: new Abstract: Energy trading decisions depend not only on current market prices, but also on expected future market conditions, and operational constraints. This make https://pulse-3k2.pages.dev/news/7d5a70a0f0e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Finding Stationary Points by Comparisons arXiv:2606.27082v1 Announce Type: new Abstract: We study the problem of finding stationary points of non-convex functions when access to the objective is provided only through a comparison oracle that https://pulse-3k2.pages.dev/news/1a1f84a3b393 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Data-Free Reservoir Features for Efficient Long-Horizon Cold-Start Continual Learning arXiv:2606.27095v1 Announce Type: new Abstract: Cold-start exemplar-free class-incremental learning requires learning a growing set of classes without replay, external pretraining, or a large initial https://pulse-3k2.pages.dev/news/ccb2fb3eabbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Transformer-Based Classification of Bacterial Raman Spectra with LOOCV arXiv:2606.27096v1 Announce Type: new Abstract: Transformer-based models have recently attracted increasing attention for Raman spectral classification. In this study, a transformer-based approach was https://pulse-3k2.pages.dev/news/9d570db62a4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Heavy-Ball Q-Learning with Residual Weighting Correction arXiv:2606.27112v1 Announce Type: new Abstract: This paper proposes a corrected heavy-ball Q-learning method for reinforcement learning (RL) and establishes its convergence. It also identifies conditi https://pulse-3k2.pages.dev/news/09da19b5dc5c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding arXiv:2606.27114v1 Announce Type: new Abstract: Uplift modeling, crucial for estimating individual treatment effects (ITE), faces dual challenges: flexibly leveraging inter-group similarity to enhance https://pulse-3k2.pages.dev/news/8a4b68af0925 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs arXiv:2606.27126v1 Announce Type: new Abstract: Kolmogorov Arnold networks (KAN) have recently been introduced as a (deep) neural network architecture whose trainable parameters adapt the activation f https://pulse-3k2.pages.dev/news/4cfbb27dc784 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png fTNN: a tensor neural network for fractional PDEs arXiv:2606.27140v1 Announce Type: new Abstract: We develop the fTNN, a deterministic tensor neural network subspace method for problems involving the fractional Laplacian on bounded domains, taking th https://pulse-3k2.pages.dev/news/704b0754c31c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Stochastic Gradient Optimization with Model-Assisted Sampling arXiv:2606.27171v1 Announce Type: new Abstract: This work addresses the problem of variance in stochastic gradient estimation for machine learning optimization. Deep learning relies on mini-batch meth https://pulse-3k2.pages.dev/news/6459437eecdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RecallRisk-BERT: A Multi-Task Framework for Post-Report Medical Device Recall Triage arXiv:2606.27174v1 Announce Type: new Abstract: Medical device recalls are a critical regulatory mechanism for protecting patient safety. The growing volume of FDA recall records presents challenges i https://pulse-3k2.pages.dev/news/a4426e339693 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automating Potential-based Reward Shaping with Vision Language Model Guidance arXiv:2606.27180v1 Announce Type: new Abstract: Sparse rewards are inherently challenging for reinforcement learning agents as they lack intermediate feedback to guide exploration and to correctly att https://pulse-3k2.pages.dev/news/581810cf61b1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Explaining Temporal Graph Neural Networks via Feature-induced Information Flow arXiv:2606.27201v1 Announce Type: new Abstract: Event-based Temporal Graph Neural Networks (ETGNNs) have demonstrated strong performance across a wide range of applications, including social network a https://pulse-3k2.pages.dev/news/f1e93d16ee2e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph Neural Networks Applications Across Domains: All Insights You Need arXiv:2606.27202v1 Announce Type: new Abstract: Graph neural networks have moved from a niche representation-learning technique to the default model class wherever data carry relational structure. The https://pulse-3k2.pages.dev/news/25418080322f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Geometry of Updates: Fisher Alignment at Vocabulary Scale arXiv:2606.27242v1 Announce Type: cross Abstract: Training-free source selection for LLM families with shared vocabularies arises in scientific string domains such as SMILES, protein, and genomic sequ https://pulse-3k2.pages.dev/news/d55610acd0c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Effective Covariance Dynamics in Solvable High-Dimensional GANs arXiv:2606.27246v1 Announce Type: new Abstract: We study a solvable high-dimensional model of generative adversarial network (GAN) training in which a linear generator learns a low-dimensional subspac https://pulse-3k2.pages.dev/news/80fcd54150f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RSPC: A Benchmark for Modeling Stress and Psychiatric Conditions in Digitally Mediated Relationships using Psychiatrist Annotations arXiv:2606.27247v1 Announce Type: new Abstract: In NLP, mental health conditions are often modeled as isolated phenomena, without interpersonal context. We use Reddit posts about long-distance relatio https://pulse-3k2.pages.dev/news/44ea7a1b990e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BetXplain: An Explanation-Annotated Dataset for Detecting Manipulative Betting Advertisements on Social Media arXiv:2606.27274v1 Announce Type: new Abstract: The promotion of betting applications on social media platforms has increased significantly in recent years. Many of these advertisements use persuasive https://pulse-3k2.pages.dev/news/36d30a767686 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Good Can Linear Models Be for Time-Series Forecasting? arXiv:2606.27282v1 Announce Type: new Abstract: Time-series forecasting research has been moving steadily toward larger architectures, from specialized transformers to general-purpose foundation model https://pulse-3k2.pages.dev/news/4970728e9f99 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs arXiv:2606.27285v1 Announce Type: new Abstract: Learning governing equations from observed solution data is a fundamental challenge in scientific machine learning… https://pulse-3k2.pages.dev/news/36ee1fa90807 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search arXiv:2606.27291v1 Announce Type: new Abstract: Job-search platforms rely on low-bandwidth query interfaces that often fail to capture the high-dimensional complexity of candidate profiles. We present https://pulse-3k2.pages.dev/news/2ae37bf43a72 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets arXiv:2606.27304v1 Announce Type: new Abstract: Guided wave-based structural health monitoring (GWSHM) with onboard transducers offers significant potential for the early diagnosis of damage in engine https://pulse-3k2.pages.dev/news/f65286238f00 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Blackwell Approachability and Gradient Equilibrium are Equivalent arXiv:2606.27315v1 Announce Type: new Abstract: Gradient equilibrium (GEQ) is a recently introduced online optimization framework that generalizes first-order stationarity from offline optimization an https://pulse-3k2.pages.dev/news/7ab2420fe3b8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders arXiv:2606.27321v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have become a leading tool for interpreting the representations of vision foundation models, decomposing their polysemantic a https://pulse-3k2.pages.dev/news/45b4d8c993b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hallucination in World Models is Predictable and Preventable arXiv:2606.27326v1 Announce Type: new Abstract: Modern generative world models render increasingly realistic action-controllable futures, yet they frequently hallucinate: rollouts remain visually flue https://pulse-3k2.pages.dev/news/95d36b9e30b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Error-Conditioned Neural Solvers arXiv:2606.27354v1 Announce Type: new Abstract: Neural surrogate models offer fast approximate mappings from PDE parameters to solutions, but they typically treat solving as a purely statistical task: https://pulse-3k2.pages.dev/news/63e290bc4734 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Autoregressive Boltzmann Generators arXiv:2606.27361v1 Announce Type: new Abstract: Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the devel https://pulse-3k2.pages.dev/news/0b765d58a393 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning without Ground-Truth Solutions can Improve LLMs arXiv:2606.27369v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) for training LLMs typically rely on ground-truth answers to assign rewards, limiting their applica https://pulse-3k2.pages.dev/news/8c092dc3ee7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Context Recycling for Long-Horizon LLM Inference arXiv:2606.26105v1 Announce Type: new Abstract: Large language models (LLMs) exhibit strong capabilities in short-context reasoning but degrade in performance over long conversational horizons due to https://pulse-3k2.pages.dev/news/f5042c7c4521 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Open Source Economic Index of AI Adoption and Capability arXiv:2606.26118v1 Announce Type: cross Abstract: We work towards measuring both AI adoption and the capability of AI to perform discrete labor tasks across various occupations. To measure adoption, w https://pulse-3k2.pages.dev/news/a9b269826d08 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM arXiv:2606.26120v1 Announce Type: new Abstract: Diffusion Large Language Models (dLLMs) offer a promising alternative to autoregressive models, excelling in text generation tasks due to their bidirect https://pulse-3k2.pages.dev/news/6d6c184ddc45 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring arXiv:2606.26121v1 Announce Type: cross Abstract: Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high https://pulse-3k2.pages.dev/news/33ddf8e43b2a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Code evolution for link prediction in complex networks arXiv:2606.26132v1 Announce Type: cross Abstract: The problem of predicting links in complex networks appears in different disciplines and has led to a variety of ingenious human-designed methods. We https://pulse-3k2.pages.dev/news/cca52024f6bd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HierBias: Context-Conditioned Hierarchical Media Bias Detection with Multi-Task Type Classification arXiv:2606.26100v1 Announce Type: new Abstract: Media bias detection is a critical task for ensuring fair and balanced information dissemination, yet existing sentence-level approaches classify each s https://pulse-3k2.pages.dev/news/85d4b4fd7a84 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Know2Guess: A Contamination-Aware Multi-Zone Benchmark for Knowledge-Boundary Evaluation in Large Language Models arXiv:2606.26101v1 Announce Type: new Abstract: Reliable evaluation of large language models should separate supported answering from unsupported guessing without conflating either with data contamina https://pulse-3k2.pages.dev/news/f05120260634 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Helpfulness Hurts: Domain-Dependent Degradation of Mid-Trained Compassion Values Under Post-Training arXiv:2606.26102v1 Announce Type: new Abstract: Standard post-training pipelines apply supervised fine-tuning (SFT) and reinforcement learning (RL) to make language models helpful, but these processes https://pulse-3k2.pages.dev/news/4475c58f38b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Investigating LLM's Problem Solving Capability -- a Study on Statics Questions arXiv:2606.26103v1 Announce Type: new Abstract: Large Language Models (LLMs) have rapidly influenced many aspects of society, particularly education, due to their demonstrated ability to complete assi https://pulse-3k2.pages.dev/news/2a9341e374f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare arXiv:2606.26104v1 Announce Type: new Abstract: Animal-welfare advocates produce a lot of writing, and increasingly that writing trains the language models that millions of people then ask about anima https://pulse-3k2.pages.dev/news/a14414400f52 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reducing Conversational Escalation in Large Language Model Dialogue with Nonviolent Communication Constraints arXiv:2606.26106v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in emotionally charged situations involving interpersonal conflict, frustration, and distress. While https://pulse-3k2.pages.dev/news/e73046731e60 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low Resource Multimodal Translation of Nepali Spoken Words into Emotion-Conditioned Sign Language Avatars arXiv:2606.26107v1 Announce Type: new Abstract: Sign language communication systems, that integrate emotional expression remain underexplored, particularly for low-resource languages. This pilot study https://pulse-3k2.pages.dev/news/7429db58e71b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Where Larger Models Excel: The Primacy of Constraint-Guided Reasoning arXiv:2606.26108v1 Announce Type: new Abstract: Larger language models consistently outperform smaller ones on reasoning benchmarks, yet the reasoning differences underlying this gap remain underexplo https://pulse-3k2.pages.dev/news/87f7206a5259 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Lexicon to AI: A Structured-Data Pipeline for Specialized Conversational Systems in Low-Resource Languages arXiv:2606.26112v1 Announce Type: new Abstract: Low-resource languages face a critical challenge in AI development: creating specialized conversational systems without access to massive training corpo https://pulse-3k2.pages.dev/news/829c874d6dda 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Thinking Like a Scientist? A Structural Study of LLM-Generated Research Methods arXiv:2606.26130v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used to guide research methodology, yet their default methodological tendencies under minimal prompting re https://pulse-3k2.pages.dev/news/7313e24945b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models arXiv:2606.26196v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have recently made remarkable progress in unifying vision-language understanding and reasoning, especially foll https://pulse-3k2.pages.dev/news/c217a5a9745a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Phonetic and semantic analyses of spoken corpora of Beijing and Taiwan Mandarin indicate that the neutral tone is a lexical tone arXiv:2606.26360v1 Announce Type: new Abstract: The neutral, or floating, tone of Mandarin Chinese is a tone with an enigmatic set of properties. It has been described as a reduced tone, or as a tone https://pulse-3k2.pages.dev/news/b15c75110389 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Charting the Growth of Social-Physical HRI (spHRI): A Systematic Review Pipeline Augmented by Small Language Models arXiv:2606.26382v1 Announce Type: new Abstract: Social-physical human-robot interaction (spHRI) has grown rapidly across robotics, human-computer interaction, human-robot interaction, and haptics. Yet https://pulse-3k2.pages.dev/news/9422c8da5155 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProfileFoundry: A Synthetic Person-Object Substrate for Privacy, Memory, and Tool-Use Evaluation in LLM Agent arXiv:2606.26403v1 Announce Type: new Abstract: Foundation-model research increasingly needs data about people: user state, personal histories, relationships, contact-like fields, documents, and longi https://pulse-3k2.pages.dev/news/357b91e9124a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ConflictScore: Identifying and Measuring How Language Models Handle Conflicting Evidence arXiv:2606.26437v1 Announce Type: new Abstract: Existing metrics for factuality and faithfulness evaluate whether an answer is supported or contradicted by its grounding documents, but they fail to ca https://pulse-3k2.pages.dev/news/12d28886379c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProvenAI: Provenance-Native Traces of Evidence in Generated Answers arXiv:2606.26449v1 Announce Type: new Abstract: Retrieval-augmented systems routinely present citations alongside generated answers, yet a citation does not confirm that the corresponding source meani https://pulse-3k2.pages.dev/news/bfdc12b07a59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification arXiv:2606.26452v1 Announce Type: new Abstract: To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applicat https://pulse-3k2.pages.dev/news/0d24d701086a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Soft Token Alignment for Cross-Lingual Reasoning arXiv:2606.26466v1 Announce Type: new Abstract: Multilingual large language models often produce inconsistent reasoning and answers for semantically equivalent prompts in different languages. Prior wo https://pulse-3k2.pages.dev/news/de07660e9a9f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Extracting Problem and Method Sentence from Scientific Papers: A Context-enhanced Transformer Using Formulaic Expression Desensitization arXiv:2606.26481v1 Announce Type: new Abstract: Billions of scientific papers lead to the need to identify essential parts from the massive text. Scientific research is an activity from putting forwar https://pulse-3k2.pages.dev/news/609afa3b3cdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Utilizing Cognitive Signals Generated during Human Reading to Enhance Keyphrase Extraction from Microblogs arXiv:2606.26485v1 Announce Type: new Abstract: Microblogging platforms generate massive amounts of short, noisy, and dispersed user content, making automatic keyphrase extraction (AKE) an important b https://pulse-3k2.pages.dev/news/c9e0d9db66e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting arXiv:2606.26487v1 Announce Type: new Abstract: Large language models (LLMs) are attractive for context-aware time series forecasting because they can integrate heterogeneous textual signals, yet thei https://pulse-3k2.pages.dev/news/1d2e32dbecf4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Comparing BERT Sentence-Pair Classification and Few-Shot LLM Prompting for Detecting Threat and Solution Framing in German Climate News arXiv:2606.26489v1 Announce Type: new Abstract: News media play a central role in shaping public perceptions of climate change, and whether coverage emphasizes threats or solutions has measurable effe https://pulse-3k2.pages.dev/news/1ee5add0a166 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context arXiv:2606.26493v1 Announce Type: new Abstract: Diffusion language models offer a promising alternative to autoregressive models due to their potential for parallel and iterative generation. However, https://pulse-3k2.pages.dev/news/4d8a5902bdc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Temporal Validity in Retrieval Memory: Eliminating Stale-Fact Errors for AI Agents over Evolving Knowledge arXiv:2606.26511v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) gives agents access to accumulated knowledge, but has no model of time. When a fact changes (e.g., a function is re https://pulse-3k2.pages.dev/news/97e291452481 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Assessing Post-Reform Changes in Risk Disclosure Quality with a Multidimensional Text Analysis Approach arXiv:2606.26522v1 Announce Type: new Abstract: While corporate narrative disclosures provide crucial information to capital markets, comprehensively evaluating their qualitative changes over time rem https://pulse-3k2.pages.dev/news/c6a0b3a11d4b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Inattentional Gap: Task-Conditioned Language and Vision Models Omit the Safety-Critical Signals They Can Otherwise Report arXiv:2606.26529v1 Announce Type: new Abstract: AI safety is evaluated by how reliably a model detects the hazards it is told to find, yet accidents often arise from the hazard no one specified. We sh https://pulse-3k2.pages.dev/news/69dd9aefcabe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png \textsc{DiARC}: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Models arXiv:2606.26530v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC;~\citealp{chollet2019measure}) contains tasks that require summarizing patterns from limited grid samples and https://pulse-3k2.pages.dev/news/a4d5e2359c73 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Erase-then-Delta Attention: Decoupling Erase and Write Addresses in Delta-Rule Linear Attention arXiv:2606.26560v1 Announce Type: new Abstract: Delta-rule linear attention improves recurrent memory updates by correcting what is already stored at the current write address before writing new conte https://pulse-3k2.pages.dev/news/29e1f57f24d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning arXiv:2606.26571v1 Announce Type: new Abstract: Zero-shot tweet-level stance detection confronts two primary challenges: (1) mitigating the context sparsity inherent in short texts, and (2) establishi https://pulse-3k2.pages.dev/news/0dad98350f50 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closing the Quality Gap in Low-Resource Text-to-Speech: LoRA Fine-Tuning of VoxCPM2 for Khmer and Korean arXiv:2606.26618v1 Announce Type: new Abstract: Large pretrained text-to-speech (TTS) models sound almost human for well-resourced languages, but much worse for languages that are rare in their traini https://pulse-3k2.pages.dev/news/3dc094555f6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CAT-Q: Cost-efficient and Accurate Ternary Quantization for LLMs arXiv:2606.26650v1 Announce Type: new Abstract: In this paper, we present CAT-Q, Cost-efficient and Accurate Ternary Quantization, for compressing and accelerating LLMs. Unlike existing state-of-the-a https://pulse-3k2.pages.dev/news/42efbd1882e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SocialPersona: Benchmarking Personalized Profiling and Response with Multimodal Social-Media Context arXiv:2606.26654v1 Announce Type: new Abstract: Personalized language-model assistants are often evaluated through a memory lens: can a model recall preferences users have explicitly stated in dialogu https://pulse-3k2.pages.dev/news/d8cc24a6075a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Logical Forms: LLM-Extracted Patterns for Fallacy Classification arXiv:2606.26698v1 Announce Type: new Abstract: In today's fast-paced information era, logical fallacies, defined as defective patterns of reasoning, inevitably contribute to the growth of information https://pulse-3k2.pages.dev/news/2ae4e27267ce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ConvMemory v3: A Validity Context Layer for Conversational Memory via Target-Conditioned Relation Verification arXiv:2606.26753v1 Announce Type: new Abstract: Conversational memory retrieval optimizes relevance, yet a retrieved memory can be relevant and simultaneously outdated: a later turn updates, corrects, https://pulse-3k2.pages.dev/news/04c8eac94370 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluation Pitfalls and Challenges in Multimedia Event Extraction arXiv:2606.26775v1 Announce Type: new Abstract: Multimedia event extraction aims to jointly identify events and their arguments across multiple modalities, such as text and images, to support more com https://pulse-3k2.pages.dev/news/49afebc4f9ab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning arXiv:2606.26790v1 Announce Type: new Abstract: Outcome-based reinforcement learning provides a stable optimization backbone for language agents, but its sparse trajectory-level rewards provide little https://pulse-3k2.pages.dev/news/e3f538d9e449 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Vajrayana Tara to Bengali Baul: A Computational Study of Lexical Transmission Across Buddhist, Shakta, and Vaishnava Traditions in Bengal arXiv:2606.26803v1 Announce Type: new Abstract: We present a computational corpus study of vocabulary relationships across eight tradition layers of Bengali and Sanskrit devotional literature spanning https://pulse-3k2.pages.dev/news/1ebf614ef06c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following arXiv:2606.26819v1 Announce Type: new Abstract: This paper describes our submission to the IWSLT 2026 Instruction Following shared task. SpeechLLMs are developed for both short-form and long-form spee https://pulse-3k2.pages.dev/news/9d247ff38a23 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cascaded Multi-Granularity Pruning for On-Device LLM Inference in Industrial IoT arXiv:2606.26861v1 Announce Type: new Abstract: Deploying large language models (LLMs) on Industrial Internet of Things (IIoT) edge devices demands extreme compression, yet existing structured pruning https://pulse-3k2.pages.dev/news/84ca6e18e1e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information-Aware KV Cache Compression for Long Reasoning arXiv:2606.26875v1 Announce Type: new Abstract: Reasoning capability has advanced rapidly in large language models (LLMs), leading to an increasing size of key-value (KV) cache in both prefilling and https://pulse-3k2.pages.dev/news/2c55a7d5c681 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Heterogeneous Neural Predictivity from Language Models During Naturalistic Comprehension arXiv:2606.26880v1 Announce Type: new Abstract: Language-model representations provide structured, high-dimensional annotations of naturalistic language stimuli and can serve as informative neural pre https://pulse-3k2.pages.dev/news/bba56dd284a9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SamaVaani: Auditing and Debiasing Multilingual Clinical ASR for Indian Languages arXiv:2606.26901v1 Announce Type: new Abstract: Automatic Speech Recognition (ASR) is increasingly used to document clinical encounters, yet its reliability in multilingual and demographically diverse https://pulse-3k2.pages.dev/news/d9f3abe12e14 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GAVEL: Grounded Caption Error Verification and Localization arXiv:2606.26923v1 Announce Type: new Abstract: Vision-language models (VLMs) often produce hallucinated or inconsistent outputs, where text and images are not properly aligned. Addressing this issue https://pulse-3k2.pages.dev/news/96016c9a96b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Term-Centric Hierarchy Induction from Heterogeneous Corpora arXiv:2606.26963v1 Announce Type: new Abstract: Organizing knowledge from diverse text sources into interpretable hierarchies is crucial for tasks such as policy analysis, innovation monitoring, and e https://pulse-3k2.pages.dev/news/e299435887f8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RedVox: Safety and Fairness Gaps in Speech Models Across Languages arXiv:2606.26968v1 Announce Type: new Abstract: Speech-capable models are increasingly deployed in real-world applications across languages. Yet their safety and fairness beyond English settings and u https://pulse-3k2.pages.dev/news/e50a42104d33 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Auditing Framing-Sensitive Behavioral Instability in Large Language Models for Mental Health Interactions arXiv:2606.26982v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being integrated into mental health support tools and other psychologically sensitive conversational appli https://pulse-3k2.pages.dev/news/11be28ffe47f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReaORE: Reasoning-Guided Progressive Open Relation Extraction Empowered by Large Reasoning Models arXiv:2606.26986v1 Announce Type: new Abstract: Open Relation Extraction (OpenRE) requires a model to extract unseen relations between head and tail entities from unstructured text for real-world appl https://pulse-3k2.pages.dev/news/42df4e54775f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs arXiv:2606.26987v1 Announce Type: new Abstract: Recent work identified emotion vectors in Claude Sonnet 4.5, which are internal representations that encode emotion concepts, causally influence behavio https://pulse-3k2.pages.dev/news/ec2f11347b3e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MinGram: A Minimalist Unigram Tokenizer with High Compression and Competitive Morphological Alignment arXiv:2606.27019v1 Announce Type: new Abstract: The Unigram tokenizer uses an elegant representation which makes it straightforward to edit vocabularies, but its training is comparatively heavy and co https://pulse-3k2.pages.dev/news/b041456f3a39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization arXiv:2606.27025v1 Announce Type: new Abstract: Building general-purpose role-playing agents that faithfully portray any character from a natural-language profile remains challenging. The dominant par https://pulse-3k2.pages.dev/news/043cc0fe3e83 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models arXiv:2606.27047v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong performance across a wide range of tasks, but ensuring their reliability in highly technical domai https://pulse-3k2.pages.dev/news/9512ddb6f3e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning arXiv:2606.27069v1 Announce Type: new Abstract: Legal outcome prediction must disentangle objective case facts from adjudicative context. Merit-based rulings rely on factual evidence while technical d https://pulse-3k2.pages.dev/news/94ac8d96e39c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Riddle Riddle: Testing Flexible Reasoning in Large Language Models and Humans arXiv:2606.27103v1 Announce Type: new Abstract: Humans flexibly adapt their reasoning strategies to the requirements of a given problem. Large language models (LLMs) have performed well on many cognit https://pulse-3k2.pages.dev/news/a06e6cf707d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Forecasting With LLMs: Improved Generalization Through Feature Steering arXiv:2606.27199v1 Announce Type: new Abstract: Successful forecasting involves identifying patterns between historical and future states of the world which generalize to future observations. We apply https://pulse-3k2.pages.dev/news/86f3dc2b288d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Syntactic Belief Update as the Driver of Garden Path Processing Difficulty arXiv:2606.27206v1 Announce Type: new Abstract: Garden path sentences present a processing difficulty for humans -- the sentence prefix leads the listener towards one interpretation, until the listene https://pulse-3k2.pages.dev/news/a837d08e2a8e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes arXiv:2606.27210v1 Announce Type: new Abstract: We argue that safety classifiers should model user intent as an explicit signal between the prompt and the final label. To study this, we introduce AIMS https://pulse-3k2.pages.dev/news/d6cb6bc46455 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compositionality and the lexicon in evolutionary semantics arXiv:2606.27228v1 Announce Type: new Abstract: Formal semantics has shown that sentence meanings arise by recursively composing lexical meanings, yet much of the literature on semantic universals mod https://pulse-3k2.pages.dev/news/5838669e6915 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CARVE: Content-Aware Recurrent with Value Efficiency for Chunk-Parallel Linear Attention arXiv:2606.27229v1 Announce Type: new Abstract: Recurrent models must forget in order to remember, yet the state of the art decides what to erase without consulting what is stored -- the gate sees onl https://pulse-3k2.pages.dev/news/4a53ce3da8ba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts arXiv:2606.27233v1 Announce Type: new Abstract: We present a conceptual framework for analyzing dialogue in collaborative problem-solving contexts, with an emphasis on the emerging dynamics of human-A https://pulse-3k2.pages.dev/news/a826a47d81f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LMs as Task-Specific Knowledge Bases: An Interpretability Analysis arXiv:2606.27237v1 Announce Type: new Abstract: Language models (LMs) capture large amounts of factual knowledge applicable to a wide range of tasks, motivating the view of their parameters as a knowl https://pulse-3k2.pages.dev/news/01ccf9dbc1d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Surprising Is Historical Italian to Language Models? Tokenization Tax, Comprehension Tax, and a Simple Mitigation arXiv:2606.27275v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly critical to digital library workflows, yet their ability to process historical language remains poorly und https://pulse-3k2.pages.dev/news/9922eca9dfc2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multilingual Reasoning Cascades Need More Context arXiv:2606.27306v1 Announce Type: new Abstract: Translation cascades for reasoning translate the query from another language to English, reason in English, and translate the answer back to the origina https://pulse-3k2.pages.dev/news/f8e38d8a4c0c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Surface Forms: A Comprehensive, Mechanism-Oriented Taxonomy of Indirect Linguistic Encoding for LLM-Based Coded Language Detection arXiv:2606.27314v1 Announce Type: new Abstract: To avoid moderation and surveillance on social media, some users routinely invent indirect linguistic expressions (ILE) that camouflage sensitive meanin https://pulse-3k2.pages.dev/news/8b195649be0f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank arXiv:2606.27316v1 Announce Type: new Abstract: Verifying the eligibility of securities as collateral is a key responsibility of the German Central Bank. However, manually verifying these assets again https://pulse-3k2.pages.dev/news/3288ce2cfd5b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning arXiv:2606.27330v1 Announce Type: new Abstract: Multimodal web agents can assist humans in operating repetitive GUI tasks, where effective task planning is essential for decomposing complex tasks into https://pulse-3k2.pages.dev/news/e757c69d22e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mapping Political-Elite Networks in Europe with a Multilingual Joint Entity-Relation Extraction Pipeline arXiv:2606.27347v1 Announce Type: new Abstract: Whether political elites organise into rent-seeking coalitions that capture public resources or civic networks that sustain governance is a central ques https://pulse-3k2.pages.dev/news/bdb811326f5f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Speaker Diarization via Multilingual Training: Evaluation on Low-Resource Nepali-Hindi Speech arXiv:2606.26144v1 Announce Type: cross Abstract: Speaker diarization, the task of determining "who spoke when" in a multi-speaker recording, is a critical component in applications such as meeting tr https://pulse-3k2.pages.dev/news/4978b2368239 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Clicks to Intent: Cross-Platform Session Embeddings with LLM-Distilled Taxonomy for Financial Services Recommendations arXiv:2606.26277v1 Announce Type: cross Abstract: Sequential user behavior modeling is widely adopted in industrial recommender systems; however, significant gaps remain in financial services, where p https://pulse-3k2.pages.dev/news/a2a59515cfb7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Verification Horizon: No Silver Bullet for Coding Agent Rewards arXiv:2606.26300v1 Announce Type: cross Abstract: A classical intuition holds that verifying a solution is easier than producing one. For today's coding agents, this intuition is being inverted: as fo https://pulse-3k2.pages.dev/news/9598776bb6f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Axon: A Synthesizing Superoptimizer for Tensor Programs arXiv:2606.26344v1 Announce Type: cross Abstract: Writing high performance kernels for AI accelerators requires deep expertise in tiling, instruction selection, data layout, and operator fusion placin https://pulse-3k2.pages.dev/news/328f528049a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models arXiv:2606.26366v1 Announce Type: cross Abstract: Standard chain-of-thought on moral dilemmas exhibits two failure modes: stakeholder collapse (the trace names at most one party with a stake in the ou https://pulse-3k2.pages.dev/news/9f2d506f9b3c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Staying VIGILant: Mitigating Visual Laziness via Counterfactual Visual Alignment in MLLMs arXiv:2606.26387v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) extend large language models (LLMs) with visual perception, enabling joint reasoning over images and text. De https://pulse-3k2.pages.dev/news/7aed279d38c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents arXiv:2606.26479v1 Announce Type: cross Abstract: Recent work (2024 to 2026) has converged on a strategy for defending tool-using LLM agents against indirect prompt injection: rather than training the https://pulse-3k2.pages.dev/news/b67fdd899f66 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Humans Disengage, Reasoning Models Persist: Separating Difficulty Registration from Deliberation Allocation arXiv:2606.26502v1 Announce Type: cross Abstract: Large reasoning models (LRMs) take longer on harder problems, just as humans do. This surface similarity hides an opposite pattern within items. When https://pulse-3k2.pages.dev/news/21735a7277b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compiler-Driven Approximation Tuning for Hyperdimensional Computing arXiv:2606.26547v1 Announce Type: cross Abstract: As Moore's law reaches its physical and economic limits, domain-specific approaches are increasingly employed to accelerate machine learning workloads https://pulse-3k2.pages.dev/news/a71157a236b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models arXiv:2606.26566v1 Announce Type: cross Abstract: Adversarial evaluation of AI systems has matured along four largely disconnected tracks: diffusion-based attacks on text and large language models (LL https://pulse-3k2.pages.dev/news/7d8f7203b810 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Safety Guardrails Need to Reason? LeanGuard: A Fast and Light Approach for Robust Moderation arXiv:2606.26686v1 Announce Type: cross Abstract: In order to screen a prompt or a response, the recent guardrail methods generate a chain-of-thought (CoT) before they issue a verdict. This design fol https://pulse-3k2.pages.dev/news/17e4086a9070 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KARLA: Knowledge-base Augmented Retrieval for Language Models arXiv:2606.26807v1 Announce Type: cross Abstract: We propose a new method that allows an LLM to automatically pull in factual knowledge from a knowledge base during token generation. This means that ( https://pulse-3k2.pages.dev/news/3ab4e5278937 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems arXiv:2606.26859v1 Announce Type: cross Abstract: Recommendation algorithm iteration is moving from an artisanal, engineer-bound process toward an industrialized research loop, but this transition rem https://pulse-3k2.pages.dev/news/6170fcec504a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries arXiv:2606.26936v1 Announce Type: cross Abstract: With a profusion of jailbreaks for LLMs now widely known, a growing concern is that non-expert malicious actors ("the average Jane") could elicit acti https://pulse-3k2.pages.dev/news/13da1f3d886f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Einstein World Models arXiv:2606.26969v1 Announce Type: cross Abstract: Does intelligence require the ability to reason about phenomena beyond direct experience? It is natural to suspect that some complex thought cannot be https://pulse-3k2.pages.dev/news/c9f60ec3aedd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HarmVideoBench: Benchmarking Harmful Video Understanding in Large Multimodal Models arXiv:2606.27187v1 Announce Type: cross Abstract: Large vision-language models (LVLMs) have recently shown immense potential in automated content moderation, sparking growing interest in developing ha https://pulse-3k2.pages.dev/news/2e85a9866fde 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement arXiv:2606.27226v1 Announce Type: cross Abstract: Evaluating LLM outputs remains a major bottleneck in NLP: human evaluation is expensive and slow, lexical metrics correlate poorly with human judgment https://pulse-3k2.pages.dev/news/fe98a74b21c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DanceOPD: On-Policy Generative Field Distillation arXiv:2606.27377v1 Announce Type: cross Abstract: Modern image generation demands a single model that unifies diverse capabilities, including text-to-image (T2I), local editing, and global editing. Ho https://pulse-3k2.pages.dev/news/a17ac46acfcc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tuning Language Models by Mixture-of-Depths Ensemble arXiv:2410.13077v2 Announce Type: replace Abstract: Transformer-based Large Language Models (LLMs) traditionally rely on final-layer loss for finetuning and final-layer representations for predictions https://pulse-3k2.pages.dev/news/39d34154d20f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models arXiv:2502.08660v4 Announce Type: replace Abstract: Semantic role labeling (SRL) is a central natural language processing task for understanding predicate-argument structures within texts and enabling https://pulse-3k2.pages.dev/news/c7bea6bf8b75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GenRecal: Generation after Recalibration from Large to Small Vision-Language Models arXiv:2506.15681v4 Announce Type: replace Abstract: Recent advancements in vision-language models (VLMs) have leveraged large language models (LLMs) to achieve performance on par with closed-source sy https://pulse-3k2.pages.dev/news/9d6aad00e2df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Somatic in the East, Psychological in the West?: Investigating Clinically-Grounded Cross-Cultural Depression Symptom Expression in LLMs arXiv:2508.03247v2 Announce Type: replace Abstract: Prior clinical psychology research shows that Western individuals with depression tend to report psychological symptoms, while Eastern individuals r https://pulse-3k2.pages.dev/news/5a1cd95ccd92 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning arXiv:2509.01412v3 Announce Type: replace Abstract: Large language models (LLMs) show strong reasoning via chain-of-thought (CoT) prompting, but the process is opaque, which makes verification, debugg https://pulse-3k2.pages.dev/news/bcfa1d78992f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24551/gradient.png GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents Abstract Computer-use agents can execute software tasks through either graphical interfaces or programmatic command interfaces, but existing evaluations confound interaction modality with differences https://pulse-3k2.pages.dev/news/2a3dcf0b6aa1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26027/gradient.png Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It Abstract Research investigates how different supervisory signals and training strategies improve the stability and performance of large language models in tool-use tasks, addressing issues like catast https://pulse-3k2.pages.dev/news/8706fabe72ef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/516c6b02c969 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21959/gradient.png OpenBioRQ: Unsolved Biomedical Research Questions for Agents Abstract A new biomedical benchmark evaluates agentic models' ability to verify sources and avoid false citations by testing unsolved research questions with no answer keys, revealing significant fail https://pulse-3k2.pages.dev/news/fd68a0b36e24 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26025/gradient.png In-Context World Modeling for Robotic Control Abstract ICWM enables robot policies to infer system variables from self-generated interactions, allowing adaptation to novel configurations without parameter updates by treating system identification https://pulse-3k2.pages.dev/news/8de6602ddf99 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c7c7a0c67943 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26904/gradient.png Confidence-Aware Tool Orchestration for Robust Video Understanding Abstract Robust-TO addresses the Blind Trust Problem in video reasoning by integrating per-frame trustworthiness into an agentic framework that improves accuracy under realistic perturbations through https://pulse-3k2.pages.dev/news/7a06836479ae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/806febcdb32d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e42a027cecf7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27313/gradient.png ViQ: Text-Aligned Visual Quantized Representations at Any Resolution Abstract ViQ presents a visual quantization framework that balances semantic richness and detail preservation in discrete representations, enabling efficient multimodal training with native-resolution https://pulse-3k2.pages.dev/news/bc9d9cdfdec7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26790/gradient.png OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning Abstract On-policy skill distillation framework extracts dense hindsight supervision from completed trajectories to improve language agent training efficiency and performance. Generated by Qwen/Qwen2. https://pulse-3k2.pages.dev/news/65e09bd2d4b8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.27377/gradient.png DanceOPD: On-Policy Generative Field Distillation Abstract A novel on-policy generative field distillation framework called DanceOPD is proposed to unify text-to-image generation, local editing, and global editing capabilities in flow-matching models https://pulse-3k2.pages.dev/news/85544e71d751 2026-07-02 monthly 0.7 https://preview.redd.it/oeyz2ogn6j9h1.png?width=140&height=135&auto=webp&s=1350367627175f01eebe14f07c3f5b82a53db1d9 When you don't have a data center GPU Please don't tell me someone is going to (yet again) reply with the longest finetune-merge name in eternity...   submitted by   /u/Iwaku_Real [link]   [comments] https://pulse-3k2.pages.dev/news/f5467f33006d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0485031eadf7 2026-07-02 monthly 0.7 https://preview.redd.it/jwhduysm3j9h1.jpg?width=140&height=78&auto=webp&s=2e421e2b94530a0d179ac3b0f8a39c7a6c95d81c Stop waiting for Qwen3.7 Openweights. Ornith-1.0, a family of open-source LLMs specialized for agentic coding. Ornith-1.0 spans the full parameter sizes, including 9B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance https://pulse-3k2.pages.dev/news/e88d84a31fb1 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!roAd!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3a48b472-a807-4211-b981-983f7a401c3a_2156x1576.png [AINews] OpenAI reports median internal Codex output tokens grew 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal since November 2025. It's happening. https://pulse-3k2.pages.dev/news/5358aed48042 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1904963ddf5c 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/5eoNt6NMzWd0X1gGQkcUbN/021e01dcba4b978b8218f774fb4f702b/image.png Sandboxes now expire based on last use Vercel Sandbox snapshots now expire based on when they were last used, not when they were created. Active snapshots stay alive as long as workflows depend on them, while unused snapshots expire on the https://pulse-3k2.pages.dev/news/c97a30aa3852 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!DR7v!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F73d41b25-6679-414d-b31f-b7735a1e5c02_1256x1400.jpeg GLM 5.2 total victory: the week open source won and nobody panicked From CoreWeave: A chill week, but a total Open Source victory for GLM 5.2 + Sakana Fugu, Krea Open Sources, OpenAI makes inference chips with broadcom, Karpathy gets heat about the new Claude Tag... https://pulse-3k2.pages.dev/news/5d2de9152522 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/vllm-jobs/thumbnail.png Run a vLLM Server on HF Jobs in One Command Back to Articles a]:hidden"> Run a vLLM Server on HF Jobs in One Command Published June 26, 2026 Update on GitHub Upvote - Quentin Gallouédec qgallouedec You can spin up a private, OpenAI-compatible L https://pulse-3k2.pages.dev/news/aba799fdeb96 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d73062a8920 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/GettyImages-2273246979.jpg?resize=1200,800 The White House is asking OpenAI to slow roll the release of its new model over safety concerns penAI reportedly plans to share its newest model, GPT 5.6, with a select group of partners instead of to the broader public. The reason: the Trump administration told it to. https://pulse-3k2.pages.dev/news/71a351e0abd6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7c461443cbe4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/52e655ab9f34 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7f11c06c70bf 2026-07-02 monthly 0.7 https://preview.redd.it/uzhwa3v4gi9h1.png?width=140&height=64&auto=webp&s=9eab478a5d10fe612b0199acec269fd77c2c8e73 audio.cpp: 12 audio models (Qwen3-TTS, PocketTTS, VeVo2 etc) in 1 C++/ggml runtime — TTS up to 5x faster than Python on CUDA I’ve been working on audio.cpp , a native C++ inference framework for audio models built on top of ggml. The framework currently has 25 model families, but I want to be precise about its state: 12 are https://pulse-3k2.pages.dev/news/503bffa01b66 2026-07-02 monthly 0.7 https://award.bookauthority.org/best-memory-management-books.png?b=1420082795&c=1&v=6&w=300 The Garbage Collection Handbook: The Art of Automatic Memory Management (2nd Ed) (2023) Article URL: https://gchandbook.org/ Comments URL: https://news.ycombinator.com/item?id=48680370 Points: 209 # Comments: 43 https://pulse-3k2.pages.dev/news/0d180708b9cf 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/architecture-harness-surfaces.png?resize=1024%2C592 Evaluating performance and efficiency of the GitHub Copilot agentic harness across models and tasks Explore how the GitHub Copilot agentic harness delivers strong results across multiple benchmarks and leading token efficiency, while maintaining flexibility to choose among more than 20 models. The p https://pulse-3k2.pages.dev/news/50553201a8e8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5937842bfc7b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/24d2889e9837 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/descriptor-heap-cube.gif Streamlining Resource Binding with End-to-End Support for Vulkan Descriptor Heaps Shaders are GPU programs that process visual data—such as rays, pixels, geometry, and textures—to produce specific rendering effects. Shaders find necessary... https://pulse-3k2.pages.dev/news/336a50110353 2026-07-02 monthly 0.7 https://preview.redd.it/hrrxhs7j4i9h1.jpeg?width=640&crop=smart&auto=webp&s=e3c1bb42290776f1b52f645989bae8b2ff8c5788 US Govt to individually approve who gets GPT 5.6.   submitted by   /u/AtlanticHM [link]   [comments] https://pulse-3k2.pages.dev/news/166a7da88911 2026-07-02 monthly 0.7 https://preview.redd.it/dquco5yy2i9h1.png?width=140&height=48&auto=webp&s=31f3135d4df3db83738553f67099f63b1060f193 [Research] JetSpec: Speculative Decoding with Parallel Tree Drafting Enables up to 9.64x Lossless LLM Inference Speedup with more than 1000TPS We find speculative decoding can push LLM generation latency to extreme by co-optimizing drafting cost and drafting quality with causal parallel tree drafting . JetSpec reaches up to 9.64× end-to-end https://pulse-3k2.pages.dev/news/19e5cf7f580b 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!ikRw!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F9049285c-dc2e-420a-b023-0f94858244b3_1000x667.jpeg The 'papers, please' era of the internet will decimate your privacy Article URL: https://expression.fire.org/p/the-papers-please-era-of-the-internet Comments URL: https://news.ycombinator.com/item?id=48679608 Points: 233 # Comments: 96 https://pulse-3k2.pages.dev/news/e129d363188b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25306/gradient.png Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation Abstract A vision-language model-based hierarchical question graph framework evaluates video generation models' adherence to physical laws with granular violation detection and human correlation valid https://pulse-3k2.pages.dev/news/d16e7ccb1748 2026-07-02 monthly 0.7 https://om.co/wp-content/uploads/2021/05/image-og-fallback-om-left-black-vb.png Om Malik has died Article URL: https://om.co/2026/06/24/1966-2026/ Comments URL: https://news.ycombinator.com/item?id=48678852 Points: 208 # Comments: 20 https://pulse-3k2.pages.dev/news/5c337fa5fd85 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9fde553deecd 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Patronus-team.jpg?resize=1200,800 Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents Agent-testing startup Patronus AI, founded by former Meta AI researchers, is experiencing nearly insatiable demand, its investor says. https://pulse-3k2.pages.dev/news/b46dcfe931fa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d477d698f9b8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e437d2a28bdf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e8485086daf4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0be4e6180ddf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6d417a85e087 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/07ad957eb29e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25013/gradient.png Do Thinking Tokens Help with Safety? Abstract Research reveals that reasoning models' safety outcomes are predictable from early hidden representations, with deliberation appearing but not substantially influencing final responses, and c https://pulse-3k2.pages.dev/news/2dc4a2dae635 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2230437159-1024x648.jpg Notion killing Skiff-influenced email app since most users use AI agents instead Notion is "going all in on using agents to run your inbox." https://pulse-3k2.pages.dev/news/483f2dbca7cd 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Google_Finance-1152x648.png Google finally releases a Finance Android app, promises iOS version later in 2026 It took 20 years, but the Finance app arrives just in time to be packed full of AI. https://pulse-3k2.pages.dev/news/4e9c79f1fade 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZzBzdGIwM3R5ZzloMbNWdyfcno-xz1w51HUC8uIZ38Kd2Cw6Gsvbd8-SkCU1.png?width=640&crop=smart&auto=webp&s=f7aeb7ccb5763d423154bc64999c193a0b9532bd LFM2.5 230M running in-browser at 1,400 tok/s using custom WebGPU kernels Everything runs locally in your browser using custom WebGPU kernels written by Fable 5 (before it was shut down) and Opus 4.8. The video was recorded on my M4 Max. Model: LiquidAI/LFM2.5-230M ( GGUF ) https://pulse-3k2.pages.dev/news/42bd97685122 2026-07-02 monthly 0.7 https://preview.redd.it/dh8re9080h9h1.png?width=140&height=106&auto=webp&s=d1b7ecbabc33cf8b483bf9403f8e807c3a8cb1cf Dev Log on Steam Recommender[P] Since the steam sale is live I wanted to post a Dev log on my personal project https://nextsteamgame.com/ sharing some outcomes from the web traffic and how I changed the project from the great feedba https://pulse-3k2.pages.dev/news/5da8a127bf2b 2026-07-02 monthly 0.7 https://external-preview.redd.it/cqQG47j8E9LpIrqQEMMZCayrVT81XcQh01-QFVUblyk.jpeg?width=640&crop=smart&auto=webp&s=c8c14436717a71d66a4b0edf38ca38ec391c3cbc Report: Apple to skip M6 Pro/Max chips, fast-track M7 for local AI   submitted by   /u/fallingdowndizzyvr [link]   [comments] https://pulse-3k2.pages.dev/news/d2aa9b95bab5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aee534a5f26d 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2271847932-1024x648.jpg Anthropic says Alibaba must be punished for largest Claude cloning attack Alibaba allegedly used 25,000 accounts to mine Claude over 28.8 million exchanges. https://pulse-3k2.pages.dev/news/5d25e2fd713d 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb [R] All Routes Lead to Collapse: attention sinks, representation collapse, and norm stratification are what content-based routing does under a norm-blind metric I've been working on a project that started with what I thought was a transformer problem. People usually talk about attention sinks, representation collapse, low-rank activations, weird key norm dist https://pulse-3k2.pages.dev/news/a62705885a7e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e24e12ef9468 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/03/Dario-Amodei-Anthropic-viva-tech.jpg?w=1024 Anthropic’s Claude is winning over paid consumers, a market owned by ChatGPT Despite ChatGPT's commanding market lead, consumers who pay for AI have been increasingly choosing Anthropic's Claude, data shows. https://pulse-3k2.pages.dev/news/a2c77b4d115c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4ccfc35f8336 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/00492bfb6b61 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&crop=smart&auto=webp&s=de730fbf7ecace6df0036b21470c16a2d4feacfb [R] Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost Token-based billing is causing my company to reevaluate small language models. I came across this paper that shows SLM supervised fine-tuning on traces from orchestration of frontier models can be nea https://pulse-3k2.pages.dev/news/cf0ca466c859 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/08c10e5c808d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11445/gradient.png Forecasting Future Behavior as a Learning Task Abstract Behavior Forecasters are trained to predict large reasoning model outputs from single trajectories, outperforming large language models while requiring significantly less computational cost. https://pulse-3k2.pages.dev/news/2f2cda2d2bb8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5ff7e4e0d180 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22953/gradient.png Plans Don't Persist: Why Context Management Is Load Bearing for LLM Agents Abstract Standard LLM agents rely on plan content remaining in context rather than maintaining it as persistent state, with evidence shown through replay pairing diagnostics and compression stress tes https://pulse-3k2.pages.dev/news/d8d06740c33a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/pic_Pim_CEO.jpg?resize=1200,800 General Intuition’s $2.3B bet that video games can train AI agents for the real world General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition. https://pulse-3k2.pages.dev/news/ded68645a6e9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/79e477154ce1 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Screenshot-2026-06-25-at-12.15.52-PM.jpg?resize=1200,615 Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x Un0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems. https://pulse-3k2.pages.dev/news/233473986c71 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21215/gradient.png Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach Abstract A novel speaker verification framework combines frozen self-supervised features with ECAPA-TDNN and MoE modules to improve identity verification across both speech and non-verbal vocalization https://pulse-3k2.pages.dev/news/c4fe439b0e3e 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/AI-Inference.webp Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the... https://pulse-3k2.pages.dev/news/29878f66fb85 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/image1-12.webp How KRAFTON Built PUBG Ally, a Co-Playable Character Powered by NVIDIA ACE AI companions in games have long been constrained by scripted behavior trees and fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for... https://pulse-3k2.pages.dev/news/c869a6a0f976 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f9413a3afe7a 2026-07-02 monthly 0.7 https://images.squarespace-cdn.com/content/v1/581a982b46c3c4492a241020/1479429946444-Q93O6BENJTBEVHLM3UKK/shadow-19354_1920-pixabay-publicdomainpictures.jpg Dark Sky Lighting Article URL: https://www.savingourstars.org/darkskylighting#whatisdarkskylighting Comments URL: https://news.ycombinator.com/item?id=48675653 Points: 216 # Comments: 40 https://pulse-3k2.pages.dev/news/6a95b493803e 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/638e39b249de7ae552d977b5/F1-AlOdxpdaxe6a5BXuU7.png Which tokens does a hybrid model predict better? Back to Articles a]:hidden"> Which tokens does a hybrid model predict better? Enterprise Article Published June 25, 2026 Upvote - Kyle Wiggers Ai2Comms allenai 📄 Tech report: https://arxiv.org/abs/26 https://pulse-3k2.pages.dev/news/be793f916139 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/2ddc195c9baa9932cd618a95e94191be071aebfc35f69291885444006b560b69/inkeep/open-knowledge Show HN: OpenKnowledge – open source AI-first alternative to Obsidian/Notion Hi HN, Nick here. We’re launching OpenKnowledge ( https://openknowledge.ai/ ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and other agents. Avail https://pulse-3k2.pages.dev/news/145bae782afd 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/53364521624_d2f74c83b9_b%20%281%29.jpg?itok=6P6fc7Zs MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success “Scientific American” showcases the history and future of America’s scientific engine, highlighting promising young scientists and icons at MIT and beyond. https://pulse-3k2.pages.dev/news/e149c7272177 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/baf998c04696 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Gidn!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fff2052fc-e819-41c7-9baa-88052819babb_1632x882.png The Generative AI Fizzle™ Disclaimer: Anything can happen at anytime in the market; I don’t give stock picks, and as the saying goes, the market can remain irrational longer than you can remain solvent. https://pulse-3k2.pages.dev/news/17e244aef019 2026-07-02 monthly 0.7 https://scrollprize.org/img/firstscroll/og.webp A Herculaneum scroll has been read for the first time Article URL: https://scrollprize.org/firstscroll Comments URL: https://news.ycombinator.com/item?id=48675179 Points: 304 # Comments: 78 https://pulse-3k2.pages.dev/news/25f8087edea2 2026-07-02 monthly 0.7 https://newsroom.ibm.com/image/IBM-Research_Newsroom_Banner_4_Light+%281%29.jpg IBM debuts sub-1 nanometer chip technology Article URL: https://newsroom.ibm.com/2026-06-25-ibm-debuts-worlds-first-sub-1-nanometer-chip-technology Comments URL: https://news.ycombinator.com/item?id=48674967 Points: 232 # Comments: 137 https://pulse-3k2.pages.dev/news/0e32c4672c33 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e206ce75ae7e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ba7fa32dc5a9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/62d6d4ba7548 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c42d2b8dc103 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24457/gradient.png Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching Abstract Lite Any Stereo V2 (LAS2) presents an efficient stereo matching approach that achieves state-of-the-art accuracy with significantly reduced latency through optimized architecture and training https://pulse-3k2.pages.dev/news/72f01eb52cc5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/acde808f024b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/edf2a473ca48 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2263017594.jpg?resize=1200,800 Netris raises $15M Series A from a16z to help AI neoclouds go live faster Netris provides software that runs on network switches, and offers a platform that helps neocloud operators reduce the time it takes to go live. https://pulse-3k2.pages.dev/news/5e7940456c59 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/583036d40fbf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/01bcd7008a28 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21710/gradient.png PrivacyAlign: Contextual Privacy Alignment for LLM Agents Abstract Researchers develop a human-centered approach to align AI agents with privacy norms by creating a comprehensive dataset of privacy judgments and using annotation-conditioned reward modeling t https://pulse-3k2.pages.dev/news/1ebb304792c7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/89b358c8aee5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e129ca6b4d87 2026-07-02 monthly 0.7 https://hackernewstrends.com/opengraph-image?72011d0134607af3 Show HN: I made Google Trends for Hacker News by indexing 18 years of comments Article URL: https://hackernewstrends.com Comments URL: https://news.ycombinator.com/item?id=48673671 Points: 317 # Comments: 79 https://pulse-3k2.pages.dev/news/21f448065e3f 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/12/TC-All-Stage-2025-roundtable.jpg?resize=1200,800 2 days left to save up to $190: Join 1,000+ founders and investors at TechCrunch Founder Summit 2 days left to lock in your spot at TechCrunch Founder Summit 2026 and save up to $190 before Early Bird rates expire on June 26 at 11:59 p.m. PT. Register here. https://pulse-3k2.pages.dev/news/f1b2d58ddf4d 2026-07-02 monthly 0.7 https://preview.redd.it/00o5xtaznf9h1.png?width=140&height=140&crop=1:1,smart&auto=webp&s=b0ac25bcda86dedb3c61f0a28a6591dc98e82886 New Apple Memory Prices https://preview.redd.it/00o5xtaznf9h1.png?width=696&format=png&auto=webp&s=60a3306ea86a9b0d1f58c435b7dbb0a42761a415 Apple raised the prices across the product line this morning:… https://pulse-3k2.pages.dev/news/70047d246dc5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8e428fd8c6c7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/09/GettyImages-2162453288.jpg?resize=1200,800 Adobe acquires image and video enhancement tool maker Topaz Labs Adobe said that it will integrate Topaz Labs' tools across its apps. https://pulse-3k2.pages.dev/news/69ce043e19a5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/52b37a6fe2f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b9cad40ff6a8 2026-07-02 monthly 0.7 https://preview.redd.it/m8eyacfmbf9h1.gif?width=640&crop=smart&s=1a9d654de34977e02d4c3b3a30f0f9e2d36a5c35 CALHippo - Mapping neurons and glial cells in the human brain hippocampus in 3D using SOTA segmentation and density estimation models [R] Hello everyone! I'm posting our research work as you might be interested in how we used ML to map part of the brain cells of the human hippocampus :) We used various human brain slices at high resolut https://pulse-3k2.pages.dev/news/c404ea601309 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4e2ef248849a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/06/GettyImages-844105434.jpg?w=1024 Amazon ups India bet with fresh $13B AI infrastructure investment Amazon’s latest India investment comes as global tech companies race to expand AI infrastructure in the country. https://pulse-3k2.pages.dev/news/1fde7b164fff 2026-07-02 monthly 0.7 https://external-preview.redd.it/cDIzZWFpd3oyZjloMRTDbRRUxoa8hGuica6ZX9LkK8tTLdOk-BFxDM1sv9AU.png?width=640&crop=smart&auto=webp&s=adccf1bffa64841fb0d83ed868357865cbbd9b03 siq1 on kebab bench tested my model on kebab bench and it performs very well: https://huggingface.co/spaces/AlexWortega/hermes-agent-zerogpu   submitted by   /u/Mysterious_Hearing14 [link]   [comments] https://pulse-3k2.pages.dev/news/c68c004dd4f6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/883423c876e3 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!jVIj!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F84e85466-1638-46f3-90a5-cbbeb788ab31_1080x1061.jpeg AI #174: You're It Fable remains in limbo, with renewed hope that we will get it back soon (45% by tomorrow, 69% by July 1, nice.) The full capabilities post is now available. https://pulse-3k2.pages.dev/news/689e1224628a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25182/gradient.png What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics Abstract Jailbreak attacks expose vulnerabilities in aligned large language models, revealing that harmful intent is encoded in structured intermediate uncertainty dynamics rather than output represen https://pulse-3k2.pages.dev/news/80d8695cf2ed 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/144ec6439302 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cd79c3d8958f 2026-07-02 monthly 0.7 https://i0.wp.com/9to5mac.com/wp-content/uploads/sites/6/2024/03/lastpass-outage.jpg?resize=1200%2C628&quality=82&strip=all&ssl=1 LastPass notifies users of yet another data breach Article URL: https://9to5mac.com/2026/06/23/lastpass-notifies-users-of-yet-another-data-breach/ Comments URL: https://news.ycombinator.com/item?id=48671468 Points: 229 # Comments: 106 https://pulse-3k2.pages.dev/news/be4b1e117968 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20196/gradient.png Distill Once, Adapt Life-Long: Exploring Dataset Distillation for Continual Test-Time Adaptation Abstract DO-ALL is a test-time adaptation framework that uses dataset distillation to create synthetic anchors for stable long-term model performance without retaining source data. Generated by Qwen/Q https://pulse-3k2.pages.dev/news/4e0394da24a8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23104/gradient.png ReNIO: Reweighting Negative Trajectory Importance for LLM On-Policy Distillation Abstract ReNIO enhances on-policy distillation for language models by reweighting negative trajectories based on token-level probability ratios, improving reasoning performance in mathematical and cod https://pulse-3k2.pages.dev/news/922d781bb944 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Sub-1nm-node-chip-3-e1782339299592-1152x648.jpg IBM claims world’s first sub-1 nanometer chip technology IBM’s nanostack transistors could boost chip performance or energy efficiency. https://pulse-3k2.pages.dev/news/cfab46bdf10b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/53fbd94379b9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0f0cd5b8e40e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1750f81975c3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25605/gradient.png Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints Abstract Tool Suppression occurs when JSON Schema constraints and tool calling are jointly enabled, preventing open-weight models from invoking tools despite maintaining schema compliance, with the is https://pulse-3k2.pages.dev/news/6cb21561bbd6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25996/gradient.png Autodata: An agentic data scientist to create high quality synthetic data Abstract Autodata enables AI agents to function as data scientists who create high-quality training data through meta-optimization, demonstrating improved performance across multiple task domains. Gen https://pulse-3k2.pages.dev/news/91bf6eeae6c8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25473/gradient.png Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models Abstract Autoregressive video diffusion extends diffusion distillation frameworks to real-time streaming generation through causal training paradigms, achieving state-of-the-art performance with fast https://pulse-3k2.pages.dev/news/f170f1cf5b2a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/07f535eee38c 2026-07-02 monthly 0.7 https://external-preview.redd.it/_kkA9e3HsY86n32m9EWFK0WWBV1w2YUI5BkS68vNpPU.png?width=640&crop=smart&auto=webp&s=ed8725a1932bf88154c94879c0af72b0b026d2a2 NVIDIA has released Nemotron-TwoTower-30B-A3B-Base-BF16, an unusual diffusion-based language model built from the Nemotron 3 Nano 30B-A3B backbone. NVIDIA has released Nemotron-TwoTower-30B-A3B-Base-BF16, an unusual diffusion-based language model built from the Nemotron 3 Nano 30B-A3B backbone. Instead of generating strictly one token at a time, https://pulse-3k2.pages.dev/news/14a047dbd620 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/219f83e5c1ef 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25331/gradient.png Improved Large Language Diffusion Models Abstract Masked diffusion language models with fully bidirectional attention outperform autoregressive counterparts on various benchmarks while maintaining competitiveness with established models. Gen https://pulse-3k2.pages.dev/news/dc7818de42ef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/93fbaeca2564 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26087/gradient.png MVTrack4Gen: Multi-View Point Tracking as Geometric Supervision for 4D Video Generation Abstract A novel-view video synthesis method that enhances motion-aware diffusion models through multi-view point tracking supervision to improve geometric consistency and motion fidelity. Generated b https://pulse-3k2.pages.dev/news/5cf65000a5c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54539387736e 2026-07-02 monthly 0.7 https://external-preview.redd.it/wc3dCrokK250NgSaOt5dXbqOzBEt-_OW8GXFrtoFLDY.jpeg?width=320&crop=smart&auto=webp&s=8b3c3c9437bb3ad2627cc5c9e1dae0b5ebb22e8f GLM 5.2 on Dual Strix Halo (256GB): Worth it?   submitted by   /u/Intrepid_Rub_3566 [link]   [comments] https://pulse-3k2.pages.dev/news/94dec3bcce1a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/99c2642bd0e0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50bc97dcc26d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25763/gradient.png ShutterMuse: Capture-Time Photography Guidance with MLLMs Abstract Researchers developed a new benchmark and dataset for photography assistance, along with a unified multimodal model that provides both composition guidance and pose recommendations during ima https://pulse-3k2.pages.dev/news/de8badd7c81f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/61eb3ed5850f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8434b06dfce4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fbf5e92dc2cf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a906e54e34c0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24937/gradient.png The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Abstract The book provides a comprehensive guide to building autonomous AI systems, covering foundational elements like transformer architecture and training methods, along with advanced topics such a https://pulse-3k2.pages.dev/news/5dc454f6ca09 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16316/gradient.png RL-Index: Reinforcement Learning for Retrieval Index Reasoning Abstract RL-Index introduces an agentic indexing framework that shifts reasoning from query time to indexing stage by using LLM-generated rationales and reinforcement learning to improve retrieval eff https://pulse-3k2.pages.dev/news/8ab5715f0cb3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24083/gradient.png CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression Abstract Two-channel evaluation shows output compression reduces costs while input compression increases costs and degrades accuracy across models and datasets. Generated by Qwen/Qwen2.5-Coder-32B-Ins https://pulse-3k2.pages.dev/news/7744ff8313d0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c9cf26c8333c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20023/gradient.png When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents Abstract LLM agents frequently select higher-privilege tools unnecessarily, and while safety alignment doesn't ensure least-privilege choices, a post-training defense can reduce excessive privilege us https://pulse-3k2.pages.dev/news/da1938f7127d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21661/gradient.png UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating Abstract UnityShots is a memory-driven audio-video generation system that maintains consistent subject appearance and audio across video cuts using fixed-size long-term and short-term memory slots wit https://pulse-3k2.pages.dev/news/b22b1d3e0d68 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cb2d7b65c3e1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25319/gradient.png V-Zero: Answer-Label-Free On-Policy Distillation with Contrastive Evidence Gating for Fine-Grained Visual Reasoning Abstract A novel label-free framework for visual reasoning called V-Zero is presented, which uses contrastive evidence gating to improve fine-grained visual reasoning without requiring annotated answe https://pulse-3k2.pages.dev/news/5b67b8863308 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c656884508b1 2026-07-02 monthly 0.7 https://www.fosslinux.com/wp-content/uploads/2026/06/linux-older-hardware-revival-guide-2026.png Linux on Older Hardware: The Complete Revival Guide Article URL: https://www.fosslinux.com/158206/linux-on-older-hardware-revival-guide.htm Comments URL: https://news.ycombinator.com/item?id=48668747 Points: 202 # Comments: 117 https://pulse-3k2.pages.dev/news/ca9b79a35b8a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dense Supervision Is Not Enough: The Readout Blind Spot in Looped Language Models arXiv:2606.24898v1 Announce Type: new Abstract: Looped language models turn hidden states into runtime state: each state is decoded for prediction and fed back into future computation. This creates a https://pulse-3k2.pages.dev/news/ebb339e8c7b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Meta Idea to Advanced Mathematical Discovery -- Human-AI Co-Discovery of Sign-Embedding Quantum Algorithms arXiv:2606.24899v1 Announce Type: new Abstract: AI-assisted mathematics is often evaluated on solving predefined problems. In practice, however, many important advances begin earlier, when a vague res https://pulse-3k2.pages.dev/news/41eba909f63e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On-Device Neural Architecture Search arXiv:2606.24900v1 Announce Type: new Abstract: This paper proposes a new approach to near-sensor computing, in which a lightweight Neural Architecture Search (NAS) is performed directly on the deploy https://pulse-3k2.pages.dev/news/6a2b4856c8af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning arXiv:2606.24901v1 Announce Type: new Abstract: Continual learning capability is critical for Industrial LLMs, as deployed models must be continuously updated to meet evolving requirements and environ https://pulse-3k2.pages.dev/news/63c4bbf83570 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Spectral Phase Diagram for Binary Few-Shot Classification: Intrinsic Dimensionality, Geometric Saturation, and Representational Diagnosis arXiv:2606.24903v1 Announce Type: new Abstract: Deciding when to stop collecting labeled examples is a fundamental but undertheorized problem in applied machine learning. The saturation index $S(K) = https://pulse-3k2.pages.dev/news/a7b49a39e576 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models arXiv:2606.24945v1 Announce Type: new Abstract: We ask a representation-learning question about physical world models: when does a conservation law remain certifiable after a model learns a latent rep https://pulse-3k2.pages.dev/news/e99844ccac31 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Conformal Orbit-Valid Trust Horizons for Equivariant World Models arXiv:2606.24946v1 Announce Type: new Abstract: Learned world models are useful only over horizons on which their rollout error remains controlled. We study trust-horizon certification for latent worl https://pulse-3k2.pages.dev/news/bf67fc87d67c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Supervised Reinforcement Learning for the Coordination of Distributed Energy Resources arXiv:2606.24947v1 Announce Type: new Abstract: The increasing integration of distributed energy resources (DERs) is crucial for power system decarbonization, yet unlocking DERs' flexibility is challe https://pulse-3k2.pages.dev/news/603bc151b87e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Holographic Memory for Zero-Shot Compositional Reasoning in Knowledge Graphs: A Mechanistic Study of Where and Why It Fails arXiv:2606.24948v1 Announce Type: new Abstract: Knowledge graph embedding (KGE) models predict single-hop links well but have no mechanism for zero-shot compositional queries: multi-hop questions whos https://pulse-3k2.pages.dev/news/237b03c7323c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MacroLens: A Multi-Task Benchmark for Contextual Financial Reasoning under Macroeconomic Scenarios arXiv:2606.24950v1 Announce Type: new Abstract: Financial decision-making is contextual: forecasting prices, valuing companies, and assessing event exposure weigh price history, accounting fundamental https://pulse-3k2.pages.dev/news/18b89029f159 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Complexity Contributes to Learning Opacity in Machine Learning arXiv:2606.24953v1 Announce Type: new Abstract: Machine learning (ML) algorithms are known to be opaque. We do not know the reasons for their predictions. The learning process leading to the predictio https://pulse-3k2.pages.dev/news/5d165c4d2ae1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Digital Twin-Driven Adaptive Sim-to-Real Alignment via Reinforcement Learning for Vibration-Based Bearing Health Monitoring Under Data Scarcity arXiv:2606.24954v1 Announce Type: cross Abstract: Vibration-based health monitoring of rotating machinery requires reliable fault diagnosis under operational data constraints, yet condition assessment https://pulse-3k2.pages.dev/news/b00d4cb061ba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Continuous Power Forecasting: Practical Continual Learning for Real-World Energy Systems in Nonstationary Time Series arXiv:2606.24955v1 Announce Type: new Abstract: Power forecasting models deployed in real-world energy markets must operate under nonstationary conditions, where data distributions continually evolve https://pulse-3k2.pages.dev/news/35f5100d686a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Convex--Concave Quadratic Spectral Filtering for Graph Neural Networks arXiv:2606.24956v1 Announce Type: new Abstract: Spectral graph neural networks (GNNs) interpret message passing as frequency-selective filtering. While low-order spectral filters are efficient, their https://pulse-3k2.pages.dev/news/5af39826c030 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Swarm-Inspired Generation of Collective Behaviors in Graph Dynamical Systems arXiv:2606.24958v1 Announce Type: new Abstract: Collective behavior arises when locally interacting units produce coordinated global organization, from synchronization in dynamical systems to task-rel https://pulse-3k2.pages.dev/news/69be2cb983f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score arXiv:2606.24959v1 Announce Type: new Abstract: Ordinal classification (OC) arises in high-stakes domains such as medicine and finance, where uncertainty quantification must account for the severity o https://pulse-3k2.pages.dev/news/1a964d5f4710 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhancing Clinician Decision-Making via Uncertainty-Aware Multi-Expert Fusion for Stroke Rehabilitation arXiv:2606.24960v1 Announce Type: new Abstract: Tailoring stroke rehabilitation requires assessing how movements are organized, not merely if they succeed. Currently, this assessment is a rate-limitin https://pulse-3k2.pages.dev/news/68a8cfb474ae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models arXiv:2606.24962v1 Announce Type: new Abstract: Recent progress in large-scale sequence modeling has shown that a single model can learn useful representations across highly diverse data distributions https://pulse-3k2.pages.dev/news/e1c98d2d88e3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evidence for feature-specific error correction in LLMs arXiv:2606.24964v1 Announce Type: new Abstract: Understanding the features of large language models (LLMs) is a central goal of interpretability. LLMs are commonly assumed to use superposition to repr https://pulse-3k2.pages.dev/news/0e08052d33e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach arXiv:2606.24966v1 Announce Type: new Abstract: Estimating parameters of dynamical systems from sparse, noisy, and irregularly sampled data is often severely ill-conditioned. When multiple related dat https://pulse-3k2.pages.dev/news/0fa01b277080 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Do Language Priors Contribute to Darcy-Flow Inversion? A Mechanistic Audit arXiv:2606.24967v1 Announce Type: new Abstract: In ill-posed inverse problems, the recovered solution depends as much on the prior as on the data, yet much of the engineering knowledge that could serv https://pulse-3k2.pages.dev/news/f0883259d61e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Training Dynamics of Neural Software Defect Predictors under Coupled Data-Quality Issues arXiv:2606.24968v1 Announce Type: new Abstract: Context: Software defect prediction supports maintenance decisions such as testing prioritization, release-risk assessment, and quality monitoring. Howe https://pulse-3k2.pages.dev/news/2376ae4af355 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Frequency Domain Reservoir Computing arXiv:2606.24969v1 Announce Type: new Abstract: While the quadratic sequence-length bottleneck of transformers has fueled a resurgence in recurrent models, effectively capturing complex dynamics requi https://pulse-3k2.pages.dev/news/951d6d48a9c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration arXiv:2606.24970v1 Announce Type: new Abstract: Pruning Large Language Models (LLMs) reduces memory and inference costs by removing parts of the network, producing smaller models that retain most of t https://pulse-3k2.pages.dev/news/3b116e58680e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy arXiv:2606.24974v1 Announce Type: new Abstract: Explainability techniques are used to assess the output of various deep learning models. This is especially true in healthcare, where models need to be https://pulse-3k2.pages.dev/news/5279f85ff067 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Do Accumulated Transformations Extrapolate? arXiv:2606.24975v1 Announce Type: cross Abstract: PaTH Attention showed that replacing RoPE's position-indexed rotations with accumulated data-dependent Householder reflections yields strong length ex https://pulse-3k2.pages.dev/news/8cb660a7113b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction arXiv:2606.24978v1 Announce Type: new Abstract: Accurate particulate matter (PM) prediction is crucial for mitigating air pollution. Graph Neural Networks (GNNs) effectively model spatiotemporal depen https://pulse-3k2.pages.dev/news/832b9f56d5b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CKM-Driven Communication-Aware UAV Intelligent Trajectory Optimization for Urban Inspection arXiv:2606.24979v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) are increasingly employed in urban inspection tasks, where reliable communication is critical but challenging due to the https://pulse-3k2.pages.dev/news/cdce8df5c437 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closed-Loop Graph Algorithm Execution with Small Language Models: Step Accuracy and Rollout Reliability arXiv:2606.24980v1 Announce Type: new Abstract: Small language models offer an efficient alternative to large-scale systems, but their ability to execute structured algorithms over multiple dependent https://pulse-3k2.pages.dev/news/cece6e00d410 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak--Ruppert Averaging arXiv:2606.24981v1 Announce Type: new Abstract: We study linear TD(0) under Markovian sampling, where data are generated along a single trajectory. We provide high-probability guarantees for a plain u https://pulse-3k2.pages.dev/news/89d68d13e6b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generation arXiv:2606.24982v1 Announce Type: new Abstract: Modeling and sampling from the underlying distribution of asynchronous event sequences are crucial in various real-world applications, including social https://pulse-3k2.pages.dev/news/d3db27830036 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Diachronic Representations of Ancient Greek Letterforms arXiv:2606.24984v1 Announce Type: cross Abstract: Learning representations that remain robust across centuries of variation in handwriting is a key challenge in diachronic representation learning. Tak https://pulse-3k2.pages.dev/news/5f8aa3864b61 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection arXiv:2606.24985v1 Announce Type: new Abstract: Personalization in wearable-based stress detection remains challenging due to substantial inter-individual variability in physiological and behavioral r https://pulse-3k2.pages.dev/news/19cb780405fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift arXiv:2606.24986v1 Announce Type: new Abstract: Automated cattle posture-classification systems frequently report near-perfect accuracy, yet their robustness under realistic deployment conditions rema https://pulse-3k2.pages.dev/news/d3e20aaff3be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Cost High-Order Singular Value Decomposition for Tensor-Based Reconstruction from Sparse Sensor Measurements: Urban Flow and Air-Quality Applications arXiv:2606.24989v1 Announce Type: new Abstract: Urban flow and air-quality simulations generate high-dimensional datasets describing velocity and pollutant transport across multiple spatial, temporal, https://pulse-3k2.pages.dev/news/74fff5c16f55 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty-aware reinforcement learning for chemical language models arXiv:2606.24990v1 Announce Type: new Abstract: Reinforcement Learning (RL) has become a powerful paradigm for de novo molecular design, enabling Chemical Language Models (CLMs) to navigate and explor https://pulse-3k2.pages.dev/news/43fa3af0cfb0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Geometry of Sequential Learning: Lie-Bracket Prediction of Transfer Order arXiv:2606.24993v1 Announce Type: new Abstract: Sequential learning is order-dependent: from Pile-style next-token domain adaptation to instruction-SFT and DPO, N candidate sources induce N! possible https://pulse-3k2.pages.dev/news/a586f520b954 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ExTra: Exploratory Trajectory Optimization for Language Model Reinforcement Learning arXiv:2606.24994v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) for language-model reasoning can fail at both extremes of task difficulty: easy prompts often prod https://pulse-3k2.pages.dev/news/cbc8efe60b72 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are Tabular Foundation Models Robust to Realistic Query Distribution Shifts in Microbiome Data? arXiv:2606.24995v1 Announce Type: new Abstract: Tabular foundation models (TFMs) achieve strong performance on microbiome abundance data, yet their robustness under realistic distribution shift remain https://pulse-3k2.pages.dev/news/eade58d72291 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Forecasting Leaderboards to Deployment Decisions: A Fail-Closed Certification Protocol arXiv:2606.24996v1 Announce Type: new Abstract: Forecasting leaderboards rank models by predictive quality, but their winners are often read as deployment-ready top-1 advice. That reading can fail whe https://pulse-3k2.pages.dev/news/1c9d8e3aa930 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What's in an Earth Embedding? An Explainability Analysis of Location Encoders arXiv:2606.24997v1 Announce Type: new Abstract: Geographic implicit neural representations (INRs) learn to map any coordinate on Earth to a location embedding, implicitly encoding geospatial data into https://pulse-3k2.pages.dev/news/66604496459e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Internal Data Repetition Destroys Language Models arXiv:2606.24998v1 Announce Type: new Abstract: Language models are running out of high-quality training data, and even aggressively deduplicated corpora retain some amount of repetition. Earlier cont https://pulse-3k2.pages.dev/news/2974e480ce48 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Zeroth-Order Deep Learning Method for Fully Nonlinear Parabolic Partial Differential Equations with Unknown Coefficients arXiv:2606.24999v1 Announce Type: new Abstract: High-dimensional partial differential equations (PDEs) with unknown coefficients arise widely in scientific machine learning, including continuous-time https://pulse-3k2.pages.dev/news/ae06da0280d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geo-Strat-RL: Learning Geological Event Reasoning from Verifiable Tasks arXiv:2606.25000v1 Announce Type: new Abstract: To evaluate whether vision-language models can reason about geological histories, it is necessary to construct observations for which the underlying pro https://pulse-3k2.pages.dev/news/1555e4a74bd7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Erased, but Not Gone: Output Forgetting Is Not True Forgetting arXiv:2606.25001v1 Announce Type: new Abstract: Machine unlearning (MU) is commonly judged by output forgetting, such as low forget-set accuracy or reduced logit-level membership inference. But if out https://pulse-3k2.pages.dev/news/9af4bd36c19f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TRACER: Training-Free Closed-Loop Structured Inference for Traffic Accident Reconstruction arXiv:2606.25002v1 Announce Type: new Abstract: Traffic accident reconstruction is a forensic inverse problem that requires recovering physically consistent motion from sparse and heterogeneous eviden https://pulse-3k2.pages.dev/news/d5d56302fb2b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Joint Compression and Synchronisation in Federated Split Learning for IoT Rainfall Prediction arXiv:2606.25003v1 Announce Type: new Abstract: Federated split learning (FSL) enables collaborative training across bandwidth-constrained IoT devices, but repeated activation and gradient exchange cr https://pulse-3k2.pages.dev/news/8eaa6642df5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Certification of Machine Learning Models via Directional Sharpness arXiv:2606.25004v1 Announce Type: new Abstract: In machine learning, model certification has been identified as an important method for gaining assurance about a model's trustworthiness and quality. A https://pulse-3k2.pages.dev/news/a59c560c0fbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scalable Peptide Design via Memory-Efficient Equivariant Transformer arXiv:2606.25006v1 Announce Type: new Abstract: Target-specific peptide design requires sequence and structure co-design under full atom geometric constraints. Latent generative frameworks offer an ef https://pulse-3k2.pages.dev/news/2799098c32d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Stream Temporal Fusion for Financial Fraud Detection arXiv:2606.25007v1 Announce Type: new Abstract: Financial fraud detection in digital banking requires reasoning over multiple heterogeneous event streams -- transactions, login sessions, risk signals https://pulse-3k2.pages.dev/news/4679060ab1ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Scaling Universality: If Exponents Are Fixed, Time to Understand Coefficients arXiv:2606.25008v1 Announce Type: cross Abstract: Neural scaling laws describe how pre-training loss decays as power laws with training time, model size, and compute. This position paper argues that t https://pulse-3k2.pages.dev/news/6caa27b541a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Emergent Capabilities Arise Randomly from Learning Sparse Attention Patterns arXiv:2606.25010v1 Announce Type: cross Abstract: Neural scaling laws for transformer language models predict smooth improvements in pretraining loss with increasing parameters, but downstream capabil https://pulse-3k2.pages.dev/news/55ff7c2be8a7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bias-Controlled Primal-Dual Natural Actor-Critic: Optimal Rates for Constrained Multi-Objective Average-Reward RL arXiv:2606.25012v1 Announce Type: new Abstract: Many reinforcement learning (RL) problems in the infinite-horizon average-reward setting require optimizing multiple conflicting objectives while satisf https://pulse-3k2.pages.dev/news/01cfdbf341c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Thinking Tokens Help with Safety? arXiv:2606.25013v1 Announce Type: cross Abstract: Today's reasoning models use thinking tokens to attain stronger performance on benchmarks than their instruction-tuned counterparts. It is also genera https://pulse-3k2.pages.dev/news/66c0140f14b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search arXiv:2606.25039v1 Announce Type: cross Abstract: Recovering governing Ordinary Differential Equations (ODEs) from data is a central challenge in modeling dynamical systems across scientific domains. https://pulse-3k2.pages.dev/news/a1be2439baa7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adapt Only When It Pays: Budgeted Decision-Loss Priority for Delayed Online Time-Series Adaptation arXiv:2606.25068v1 Announce Type: new Abstract: Online time-series forecasters receive labels only after horizon-dependent delays, while every adaptation step spends limited compute. We study when an https://pulse-3k2.pages.dev/news/347447770a8e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GCT-MARL: Graph-Based Contrastive Transfer for Sample-Efficient Cooperative Multi-Agent Reinforcement Learning arXiv:2606.25073v1 Announce Type: new Abstract: In cooperative multi-agent reinforcement learning (MARL), from a deployment perspective, it is challenging and expensive to train agents from scratch fo https://pulse-3k2.pages.dev/news/c06db081d773 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Training for the Model You Return: Improving Optimization for Iterate-Averaged Language Models arXiv:2606.25086v1 Announce Type: new Abstract: Many modern Language Model (LM) pipelines return an averaged model, such as an exponential moving average of the training iterates, rather than the fina https://pulse-3k2.pages.dev/news/6a6aa4930c97 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Modular Is a Frontier Mixture-of-Experts? A Pre-registered Causal Test in Which Apparent Expert Modularity Mostly Dissolves arXiv:2606.25092v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) models route each token to a few of many experts, inviting the hypothesis that experts form functional modules tied to c https://pulse-3k2.pages.dev/news/7e938f908bf9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance Screen with a 48,072-Sample Expansion arXiv:2606.25097v1 Announce Type: new Abstract: Speculative decoding accelerates inference by letting a draft model propose tokens for a target model to verify, raising a concrete safety question: at https://pulse-3k2.pages.dev/news/28f0876bf952 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Framework for Directed Hypergraph Signal Processing via tensor t-SVD arXiv:2606.25112v1 Announce Type: new Abstract: We introduce Directed Hypergraph Signal Processing (DHGSP), a unified framework that extends graph signal processing to accommodate both higher-order (p https://pulse-3k2.pages.dev/news/6deefd209313 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory arXiv:2606.25115v1 Announce Type: new Abstract: On-device language-model agents improve by accumulating experience in retrieved memory rather than by updating weights. This memory is hard-bounded and https://pulse-3k2.pages.dev/news/9047adc00423 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reward-Conditioned Attention: How Reward Design Shapes What Autonomous Driving Agents See arXiv:2606.25127v1 Announce Type: new Abstract: We investigate how reward design shapes the internal attention patterns of reinforcement learning agents trained for autonomous driving. Using three Per https://pulse-3k2.pages.dev/news/832628a23d00 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Silent Failures in Physics-Informed Neural Networks: Parameter Poisoning and the Limits of Loss-Based Validation arXiv:2606.25151v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) embed governing equations in their loss function, enabling mesh-free solutions to partial differential equation https://pulse-3k2.pages.dev/news/ccd7511ef840 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ATMA: Length-Invariant Language Modeling via Polar Attention and Gated-Delta Compression Memory arXiv:2606.25156v1 Announce Type: new Abstract: Modern large language models based on softmax scaled-dot-product attention are constrained by their training sequence length: as the key-value sequence https://pulse-3k2.pages.dev/news/6ae7a245a22f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Gentle Collapse: Distributional Metrics for Continual Learning arXiv:2606.25165v1 Announce Type: new Abstract: Accuracy degradation is the standard metric for Catastrophic Forgetting (CF), however, it records only whether forgetting occurred or not. It saturates https://pulse-3k2.pages.dev/news/329ae9a58221 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An iterative energy-based multimodal transformer for joint retrieval of wheat soil moisture, leaf area index, and plant height from Sentinel-1 and Sentinel-2 time series arXiv:2606.25174v1 Announce Type: new Abstract: Field-scale retrieval of surface soil moisture (SM), leaf area index (LAI), and plant height (PH) is essential for precision agriculture, yet it remains https://pulse-3k2.pages.dev/news/add30ebb5057 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EveLoad: Cognitive Workload Recognition from Event-Based Eye Movements arXiv:2606.25177v1 Announce Type: new Abstract: Cognitive workload monitoring is important for adaptive rehabilitation and assistive interfaces, where task difficulty, pacing, and feedback should be a https://pulse-3k2.pages.dev/news/f82a60ac7244 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural operator-based digital twins for modeling amyloid-$\beta$ and tau propagation and treatment optimization in Alzheimer's disease arXiv:2606.25185v1 Announce Type: new Abstract: Accurately predicting the spatiotemporal evolution of amyloid-$\beta$ and tau proteins at the individual level is critical for improving the diagnosis a https://pulse-3k2.pages.dev/news/c9c1fe5af8a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Analytic Uncertainty Quantification for Multi-Modal Regression arXiv:2606.25188v1 Announce Type: new Abstract: Efficient uncertainty quantification (UQ) is essential for trustworthy large-scale learning. Existing UQ methods for regression tasks mainly operate und https://pulse-3k2.pages.dev/news/4c96736f528e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Adaptive Data Acquisition via Pretrained Belief Representations arXiv:2606.25197v1 Announce Type: new Abstract: Learning effective policies for adaptive data acquisition remains challenging: posterior-based methods rely on surrogate models and posterior approximat https://pulse-3k2.pages.dev/news/bb2a75226a75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Hybrid CNN-LSTM Intrusion Detection Framework for Cybersecurity in Smart Renewable Energy Grids arXiv:2606.25200v1 Announce Type: new Abstract: The accelerated digitalization of renewable energy smart grids through IoT sensors, AMI, and SCADA systems has significantly expanded the attack surface https://pulse-3k2.pages.dev/news/d640ed655762 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks arXiv:2606.25201v1 Announce Type: new Abstract: Spatiotemporal systems comprise a collection of spatially distributed yet interdependent entities each generating unique dynamic signals. Highly sophist https://pulse-3k2.pages.dev/news/a09ba63e2b19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments arXiv:2606.25207v1 Announce Type: cross Abstract: Hyperparameter Optimization (HPO) is essential for maximizing machine learning model performance, and its core challenge is sample efficiency: finding https://pulse-3k2.pages.dev/news/04b85cb8f5ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Semantic Allocation in Ordered Bottlenecks: Predictive Residual Inference for Visual Representation Learning arXiv:2606.25232v1 Announce Type: new Abstract: Ordered bottlenecks aim to provide utility at flexible budgets by assigning coarse information to early tokens and task-relevant detail to later ones. P https://pulse-3k2.pages.dev/news/58bb8f4ec3f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Variational Inference via Entropic Transport Descent arXiv:2606.25265v1 Announce Type: new Abstract: Particle-based variational inference (ParVI) methods approximate an intractable target distribution by evolving an ensemble of interacting samples. Exis https://pulse-3k2.pages.dev/news/4b2e91774357 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease arXiv:2606.25270v1 Announce Type: new Abstract: Keystroke dynamics have been explored extensively as a passive digital biomarker for Parkinson's disease (PD), typically by extracting summary statistic https://pulse-3k2.pages.dev/news/f4bbc7952489 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UC-Search: Risk-Aware Test-Time Search for Delayed Constrained Time-Series Control arXiv:2606.25274v1 Announce Type: new Abstract: Time-series models are usually scored as forecasters, yet deployed systems often require delayed decisions under uncertainty and hard feasibility constr https://pulse-3k2.pages.dev/news/6a3b3c850cb2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EPTS: Elastic Post-Training Sparsity for Efficient Large Language Model Compression arXiv:2606.25285v1 Announce Type: new Abstract: Post-Training Sparsity (PTS) has emerged as a crucial paradigm for compressing Large Language Models to facilitate efficient deployment on resource-cons https://pulse-3k2.pages.dev/news/ad86c6b21015 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Communicability-Inspired Positional Encoding (CIPE) arXiv:2606.25293v1 Announce Type: new Abstract: Positional encodings (PEs) are essential for Transformers. Yet designing effective PEs for non-Euclidean graphs remains challenging. Such encodings shou https://pulse-3k2.pages.dev/news/87c201a59a56 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Stagnant Neuron: Towards Understanding the Plasticity Loss in Multi-Agent Reinforcement Learning Value Factorization Methods arXiv:2606.25335v1 Announce Type: new Abstract: Multi-Agent Reinforcement Learning (MARL) value factorization methods can suffer from a loss of plasticity, gradually failing to adapt when transferring https://pulse-3k2.pages.dev/news/0ce6bd180145 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention arXiv:2606.25342v1 Announce Type: new Abstract: Lifelong continual learning remains an obstacle on the path to human-like intelligence. Modern transformers show sparks of intelligence with in-context https://pulse-3k2.pages.dev/news/3691faaac0f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning arXiv:2606.25347v1 Announce Type: new Abstract: Exemplar-free class-incremental learning (EFCIL) requires stable decision boundaries within a shifting feature space. While maintaining class-conditiona https://pulse-3k2.pages.dev/news/e7d1cadac851 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compositional Behavioral Semantics for State Abstraction in Reinforcement Learning arXiv:2606.25357v1 Announce Type: new Abstract: State abstraction plays a key role in scaling reinforcement learning to complex but structured systems. In studying such systems, a wide range of behavi https://pulse-3k2.pages.dev/news/94ee7b055304 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FactorLibrary: From Polynomials to Circuits via Recursive Subgoals arXiv:2606.25394v1 Announce Type: new Abstract: Finding minimal arithmetic circuits for polynomials over finite fields is a combinatorially hard problem central to algebraic complexity theory. We form https://pulse-3k2.pages.dev/news/da5e9d9d82e3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DFMU: Data-Frugal Machine Unlearning arXiv:2606.25410v1 Announce Type: new Abstract: Machine unlearning is an emerging domain that ensures the safe removal of elements (includes concepts, attributes, entity and class) from the trained mo https://pulse-3k2.pages.dev/news/e6c447fb44b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Brevity is the Soul of Inference Efficiency: Inducing Concision in VLMs via Data Curation arXiv:2606.25432v1 Announce Type: new Abstract: Inference efficiency is typically pursued by shrinking the model: distillation, pruning, quantization, and sparse routing each lower per-token cost whil https://pulse-3k2.pages.dev/news/9e1af66d7235 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interpretable Concept-Guided Polynomial Tabular Kolmogorov-Arnold Network for EEG-Based Mild Cognitive Impairment Detection arXiv:2606.25434v1 Announce Type: new Abstract: Early and scalable detection of mild cognitive impairment (MCI) remains an unresolved clinical challenge. Existing EEG-based screening approaches are co https://pulse-3k2.pages.dev/news/3ed0172c71ab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TopoCast: A Topological Fidelity Framework for Evaluating Transformer-Based Time Series Forecasting arXiv:2606.25439v1 Announce Type: new Abstract: Deep learning-based models have achieved state-of-the-art performance in Time Series Forecasting (TSF), yet their evaluation remains dominated by pointw https://pulse-3k2.pages.dev/news/61e2a9e8606e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Interplay of Harness Design and Post-Training in LLM Agents arXiv:2606.25447v1 Announce Type: cross Abstract: Tool-integrated LLM agents are often wrapped within a harness: the scaffolding that determines which tools are exposed, how they are described, and wh https://pulse-3k2.pages.dev/news/8da9fcc5ffca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms arXiv:2606.25450v1 Announce Type: cross Abstract: Traditional evaluations measure a learning algorithm's final performance on an i.i.d. test set, reducing learning to a single aggregate score. This ap https://pulse-3k2.pages.dev/news/2f916072de6d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning with a Single Rollout via Monte Carlo Pass@k Critic arXiv:2606.25451v1 Announce Type: new Abstract: Estimating token-level advantages in reinforcement learning (RL) for language models remains challenging because scaling up episodic experience collecti https://pulse-3k2.pages.dev/news/25d35b3add59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Robust EEG Decoding Based on Riemannian Self-Attention arXiv:2606.25456v1 Announce Type: new Abstract: Brain-Computer Interface (BCI) based on electroencephalography (EEG) enables direct interaction between the brain and external environments and has sign https://pulse-3k2.pages.dev/news/70e2e9a3569d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning arXiv:2606.25488v1 Announce Type: new Abstract: Knowledge Distillation (KD) is widely used to obtain compact models for efficient inference in resource-constrained environments. Yet the computational https://pulse-3k2.pages.dev/news/bacee57897c7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning arXiv:2606.25526v1 Announce Type: new Abstract: Cooperative multi-agent reinforcement learning assumes each agent shares the same reward function and can be trained effectively using the Trust Region https://pulse-3k2.pages.dev/news/2ed57c15a209 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond One-Size-Fits-All: Diagnosis-Driven Online Reinforcement Learning with Offline Priors arXiv:2606.25527v1 Announce Type: new Abstract: Online reinforcement learning (RL) agents increasingly depend on knowledge acquired offline to achieve practical efficiency. Originally studied in offli https://pulse-3k2.pages.dev/news/51b49ad99c6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leaking Circuit Secrets: Gradient Leakage Attacks on Graph Neural Networks arXiv:2606.25589v1 Announce Type: new Abstract: As graph neural networks (GNNs) become standard tools for critical tasks in circuit design and analysis, their security and privacy risks require carefu https://pulse-3k2.pages.dev/news/232844244651 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Complexity Policy Tessellations in Structured Markov Decision Processes arXiv:2606.25593v1 Announce Type: new Abstract: We study optimal-policy geometry in structured Markov decision processes. While approximate dynamic programming and reinforcement learning typically app https://pulse-3k2.pages.dev/news/6edd375e1761 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems arXiv:2606.25627v1 Announce Type: new Abstract: Distributed intelligent systems increasingly need to train across data silos without centralizing raw data. Federated learning keeps data local but can https://pulse-3k2.pages.dev/news/0ec3c5ad55d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Subset-Shared Invariances for Domain Generalization with Mixture-of-Experts arXiv:2606.25665v1 Announce Type: new Abstract: Domain generalization (DG) aims to learn a model from one or more source domains that generalizes to an unseen target domain without accessing target da https://pulse-3k2.pages.dev/news/f8898f7516fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph-Based Phonetic Error Correction of Noisy ASR arXiv:2606.24889v1 Announce Type: new Abstract: Automatic speech recognition (ASR) systems, despite low overall word error rates, produce residual lexical errors that disproportionately affect semanti https://pulse-3k2.pages.dev/news/2cb4620327d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Small edits, large models: How Wikipedia advocacy shapes LLM values arXiv:2606.24890v1 Announce Type: new Abstract: Can a small group of volunteers shape how AI systems discuss animal welfare, just by editing Wikipedia? We show that they can. Wikipedia appears in near https://pulse-3k2.pages.dev/news/40e861d6f861 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AgentOdyssey: Open-Ended Long-Horizon Text Game Generation for Test-Time Continual Learning Agents arXiv:2606.24893v1 Announce Type: new Abstract: For agents to learn continuously from interaction with the world at test time, they must be able to explore effectively, acquire new world knowledge and https://pulse-3k2.pages.dev/news/d5ddc1ca9e9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Error-Aware TF-IDF Retrieval-Augmented Generation for ASR Error Correction arXiv:2606.24915v1 Announce Type: new Abstract: End-to-end automatic speech recognition systems frequently hallucinate rare entities and domain-specific terms, especially in low-resource languages. Wh https://pulse-3k2.pages.dev/news/f5edd059e19c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Perfect Detection, Failed Control: The Geometry of Knowing vs. Steering in Language Models arXiv:2606.24952v1 Announce Type: new Abstract: A central aspiration of mechanistic interpretability is controllability: if we know where a behavior is represented in a model's activations, we should https://pulse-3k2.pages.dev/news/9db9e3305d6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding arXiv:2606.24957v1 Announce Type: new Abstract: While speculative decoding improves inference throughput for multi-batch long-context Large Language Models (LLMs), its efficiency is often limited by a https://pulse-3k2.pages.dev/news/46c7de0749ba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Performance on a Real, Double-Marked GCSE Benchmark arXiv:2606.24973v1 Announce Type: new Abstract: We introduce a dataset of 32,534 double-marked real student responses to GCSE mock exams (GCSEs are the UK's national exams, taken at age ~16), spanning https://pulse-3k2.pages.dev/news/457af7690892 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM-Based Scientific Peer Review: Methods, Benchmarks, and Reliability Challenges arXiv:2606.25057v1 Announce Type: new Abstract: The rapid growth of scientific submissions has pushed traditional peer review toward its scalability limits, motivating the exploration of large languag https://pulse-3k2.pages.dev/news/63f55b232807 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection arXiv:2606.25102v1 Announce Type: new Abstract: Large language models have transformed code generation, raising concerns around authorship, assessment integrity, and software trust. SemEval-2026 Task https://pulse-3k2.pages.dev/news/1d01d8e4ca09 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The cognitive, affective, and behavioral expression of self-stigma among people who use drugs in online substance use communities arXiv:2606.25143v1 Announce Type: new Abstract: Objectives: To develop a codebook for self-stigma across cognitive, affective, and behavioral domains, and to estimate the prevalence, co-occurrence, an https://pulse-3k2.pages.dev/news/60bf8d6f2d58 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift arXiv:2606.25152v1 Announce Type: new Abstract: Deployed approaches for AI text detection often rely on training-time access to labeled datasets of both human-written and AI-generated text. This appro https://pulse-3k2.pages.dev/news/2a03d6cab1a6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Intermediate Layers Know: Detecting Jailbreaks from Entropy Dynamics arXiv:2606.25182v1 Announce Type: new Abstract: Jailbreak attacks reveal a persistent weakness in aligned Large Language Models: carefully crafted prompts can elicit policy-violating responses despite https://pulse-3k2.pages.dev/news/5c8e79fbb4f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Structuring an Arabic-English Machine-Readable Dictionary Using Parsing Expression Grammars arXiv:2606.25231v1 Announce Type: new Abstract: Dictionaries are rich sources of lexical information about words that is required for many applications of natural language processing and human languag https://pulse-3k2.pages.dev/news/1139a8966906 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automatic Generation of Highlights for Academic Paper Via Prompt-based Learning arXiv:2606.25253v1 Announce Type: new Abstract: Highlights provide a concise summary of the main contributions of an academic paper and help readers quickly understand its focus. However, many journal https://pulse-3k2.pages.dev/news/cf304872e5f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improved Large Language Diffusion Models arXiv:2606.25331v1 Announce Type: new Abstract: Modern large language models are predominantly trained with autoregressive factorization and causal attention. We present \emph{iLLaDA}, an 8B masked di https://pulse-3k2.pages.dev/news/0564538053de 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid-IR: Dual-Path Hybrid Retrieval with Iterative Reasoning for Complex Medical Question Answering arXiv:2606.25338v1 Announce Type: new Abstract: Large language models (LLMs) have shown promising performance across a wide range of biomedical applications, including medical question answering (QA), https://pulse-3k2.pages.dev/news/28f1fa79e6f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing arXiv:2606.25354v1 Announce Type: new Abstract: Test-time scaling improves language-model reasoning, but existing approaches often face a difficult trade-off: long chain-of-thought sampling remains si https://pulse-3k2.pages.dev/news/b8e1e6c175df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents arXiv:2606.25361v1 Announce Type: new Abstract: Prior research on memory mechanism in RAG-based conversational system has emphasized how memory is stored and retrieved. However, far less is known abou https://pulse-3k2.pages.dev/news/93566b5d9947 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Machine Translation for Low-Resource Tangkhul--English arXiv:2606.25365v1 Announce Type: new Abstract: We present a study on low-resource machine translation for the Tangkhul-English (nmf-en) language pair. Tangkhul is a severely under-resourced Tibeto-Bu https://pulse-3k2.pages.dev/news/77c598e1bd2a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Three Buddhist Vocabularies: Computational Stylometry of the English Pali Canon across Sutta, Vinaya, and Abhidhamma arXiv:2606.25372v1 Announce Type: new Abstract: We present a computational stylometric analysis of the Tipitaka across all three Pitakas in English translation, extending earlier work on the Sutta Pit https://pulse-3k2.pages.dev/news/ee1dc63a566d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Story Operators: Decomposing the Original $\to$ Sequel Transformation in Embedding Space arXiv:2606.25379v1 Announce Type: new Abstract: I treat a book as a point in a sentence-embedding space and a literary transformation as an operation on points. Given an original novel and its sequel, https://pulse-3k2.pages.dev/news/8a7b513b603a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Survey of Toxicity Detection and Mitigation Strategies for Multilingual Language Models arXiv:2606.25380v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed across languages, but their safety behavior remains uneven across linguistic and cultural context https://pulse-3k2.pages.dev/news/93b12c4c865a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Introducing corpora Hlava Cor and Hlava AD: Human Label Variation in Coreference and Discourse Relations arXiv:2606.25383v1 Announce Type: new Abstract: As previous research on annotator disagreement in discourse phenomena has shown, understanding text coherence varies considerably from one individual to https://pulse-3k2.pages.dev/news/356e041f3e7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Next-Observation Prediction: Agent-Authored World Modeling for Sequential Decision Making arXiv:2606.25421v1 Announce Type: new Abstract: Recent studies on world modeling for Large Language Model (LLM) agents typically formulate the learning objective as next-observation prediction. Howeve https://pulse-3k2.pages.dev/news/910092b0c185 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PolicyAlign: Direct Policy-Based Safety Alignment for Large Language Models arXiv:2606.25442v1 Announce Type: new Abstract: Safety alignment of large language models (LLMs) typically depends on high-quality supervision data, such as safe demonstrations or preference pairs. Ho https://pulse-3k2.pages.dev/news/934b9416710d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reclaim Evaluation: A Lossy Memory Is Worse Than an Empty One arXiv:2606.25449v1 Announce Type: new Abstract: A language model's memory can be worse than having no memory at all. Give a model a memory that kept a wrong conclusion but dropped the work behind it, https://pulse-3k2.pages.dev/news/9a2e3a54b0c3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probing in the Wild: A Case Study of Self-Supervised Speech Representations on Mandarin Sub-dialects with Unsupervised Articulatory Analysis arXiv:2606.25459v1 Announce Type: new Abstract: While self-supervised speech models have achieved strong performance across speech tasks, relatively little is known about how their internal phonetic r https://pulse-3k2.pages.dev/news/53f42e603d9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Optimizing Abstractive Summarization With Fine-Tuned PEGASUS arXiv:2606.25462v1 Announce Type: new Abstract: Abstractive text summarization is the technique of generating a short and concise summary comprising the salient ideas of a source text without making a https://pulse-3k2.pages.dev/news/2ecfe2cee80f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation arXiv:2606.25476v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated remarkable performance across natural language processing tasks, yet their deployment in high-stakes appl https://pulse-3k2.pages.dev/news/ba98d2ebe971 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Reliable Is Your Jailbreak Judge? Calibration and Adversarial Robustness of Automated ASR Scoring arXiv:2606.25487v1 Announce Type: new Abstract: Almost every paper on LLM jailbreaks and prompt injection reports an attack-success rate (ASR), and that number is assigned not by people but by an auto https://pulse-3k2.pages.dev/news/a08f241c28c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model arXiv:2606.25495v1 Announce Type: new Abstract: Saudi Telecom Company (STC) is among the most popular companies in Saudi Arabia, with many customers. Yet, there is still a big room for improvement in https://pulse-3k2.pages.dev/news/420560432294 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence arXiv:2606.25518v1 Announce Type: new Abstract: When people share experiences online, they often express thoughts in two ways: a star rating and a written review. In sentiment analysis, ratings are wi https://pulse-3k2.pages.dev/news/a9ac039b0a76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SFL-MTSC: Leveraging Semantic Frame-Level Multi-Task Self-Consistency for Robust Multi-Intent Spoken Language Understanding arXiv:2606.25552v1 Announce Type: new Abstract: Prompt-based spoken language understanding (SLU) with large language models (LLMs) often suffers from inconsistent intent--slot structures due to decodi https://pulse-3k2.pages.dev/news/9962d61dee11 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BiPACE: Bisimulation-Guided Policy Optimization with Action Counterfactual Estimation for LLM Agents arXiv:2606.25556v1 Announce Type: new Abstract: Stepwise group-based RL is an attractive way to train long-horizon LLM agents without a learned critic: it reuses multiple sampled rollouts to estimate https://pulse-3k2.pages.dev/news/e4a58e51e631 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Riazi-8B: An Urdu Large Language Model for Mathematical Reasoning arXiv:2606.25568v1 Announce Type: new Abstract: Recent LLMs demonstrate strong mathematical reasoning capabilities, but existing gains rely heavily on English-centric training resources and benchmarks https://pulse-3k2.pages.dev/news/80dd16457e94 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints arXiv:2606.25605v1 Announce Type: new Abstract: Tool Calling and Structured Output are two core capabilities of modern Agent systems, yet their interaction under joint deployment conditions remains in https://pulse-3k2.pages.dev/news/623c827f3816 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Staying In Character: Perspective-Bounded Memory For Book-Based Role-Playing Agents arXiv:2606.25632v1 Announce Type: new Abstract: Recent LLM role-playing systems build character agents from novels by extracting characters, scenes, and relations. Yet long-narrative role-playing suff https://pulse-3k2.pages.dev/news/d54a81690ef6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedGuards: Multi-Agent System for Reliable Medical Error Detection and Correction arXiv:2606.25651v1 Announce Type: new Abstract: As Large Language Models (LLMs) are increasingly deployed in healthcare settings, accurate error detection and correction in generated or existing text https://pulse-3k2.pages.dev/news/9a901cf3b312 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization arXiv:2606.25656v1 Announce Type: new Abstract: As advanced RAG variants like GraphRAG and Agentic RAG emerge, one leading question is when and how to use them. Here, we introduce a framework for diff https://pulse-3k2.pages.dev/news/088026f848d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BitNet Text Embeddings arXiv:2606.25674v1 Announce Type: new Abstract: LLM-based text embedders have substantially improved retrieval and semantic representation quality, but their deployment remains costly: large backbone https://pulse-3k2.pages.dev/news/d7590aaf3dbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OPERA: Aligning Open-Ended Reasoning via Objective Perplexity-based Reinforcement Learning arXiv:2606.25757v1 Announce Type: new Abstract: Reinforcement Learning (RL) has enabled LLMs to excel in objective reasoning tasks such as mathematics and code generation. However, applying RL to open https://pulse-3k2.pages.dev/news/dbeed4e425fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Encoders Suffice? A Systematic Comparison of Encoder and Decoder Safety Judges for LLM Adversarial Evaluation arXiv:2606.25782v1 Announce Type: new Abstract: With the widespread adoption of large language models (LLMs) in chatbots and everyday applications, companies increasingly need guardrails that are effe https://pulse-3k2.pages.dev/news/bdbbfa65678f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Function Calling: Benchmarking Tool-Using Agents under Tool-Environment Unreliability arXiv:2606.25819v1 Announce Type: new Abstract: Large language models are increasingly deployed as agents that solve tasks by interacting with external tool environments. Although recent tool-use benc https://pulse-3k2.pages.dev/news/a5c4b37411c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SARA: Unlocking Multilingual Knowledge in Mixture-of-Experts via Semantically Anchored Routing Alignment arXiv:2606.25821v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) architectures have emerged as an increasingly influential paradigm as they offer a strategic balance between parameter s https://pulse-3k2.pages.dev/news/c6c72cd88592 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Overview of HIPE-2026: Person-Place Relation Extraction from Multilingual Historical Texts arXiv:2606.25935v1 Announce Type: new Abstract: Was this person ever at that place, and if so, when? Answering such questions from noisy, multilingual historical documents is the central challenge of https://pulse-3k2.pages.dev/news/bf34e0f62fd5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Weave of Formal Thought arXiv:2606.25987v1 Announce Type: new Abstract: Large language models (LLMs) attain remarkable surface fluency on code, yet they neither formally guarantee the syntactic validity of their output nor l https://pulse-3k2.pages.dev/news/2b1f5206a25a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SpeechEQ: Benchmarking Emotional Intelligence Quotient in Socially Aware Voice Conversational Models arXiv:2606.25990v1 Announce Type: new Abstract: As multimodal conversational systems increasingly engage in spoken interaction, their ability to navigate paralinguistic social cues has become a critic https://pulse-3k2.pages.dev/news/c73263b155fa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dziri Voicebot: An End-to-End Low-Resource Speech-to-Speech Conversational System for Algerian Dialect arXiv:2606.26003v1 Announce Type: new Abstract: Automatic speech and language technologies are still heavily biased toward high-resource languages, limiting their applicability to dialectal and low-re https://pulse-3k2.pages.dev/news/c61c58b11653 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Tatoxa System for Text Detoxification in Low-Resource Languages: The Case of Tatar arXiv:2606.26015v1 Announce Type: new Abstract: Text detoxification, the automated detection and mitigation of abusive and harmful content, is essential for ensuring the safety of online communities a https://pulse-3k2.pages.dev/news/a57569d49012 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Multi-Step Tool-Use Reinforcement Learning Collapses and How Supervisory Signals Fix It arXiv:2606.26027v1 Announce Type: new Abstract: Tool use enables large language models (LLMs) to perform complex tasks, and recent agentic reinforcement learning (RL) methods show promise for enhancin https://pulse-3k2.pages.dev/news/404bb2848a31 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detect, Unlearn, Restore: Defending Text Summarization Models Against Data Poisoning arXiv:2606.26036v1 Announce Type: new Abstract: Training-time data poisoning during fine-tuning poses a significant threat to large language models (LLMs) deployed for abstractive text summarization, https://pulse-3k2.pages.dev/news/05d68220307f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI translation of literary texts is "fine", but readers still prefer human translations arXiv:2606.26040v1 Announce Type: new Abstract: AI translation of literary works is increasingly common. While the content may be rendered adequately, we do not know enough about how readers experienc https://pulse-3k2.pages.dev/news/d9e93a869e92 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Certainty Is an Artifact: Keyword Lexicon Blindness and the (Mis)Measurement of Rhetorical Stance arXiv:2606.26062v1 Announce Type: new Abstract: Can a statistically significant, large-effect-size finding in computational social science be entirely an artifact of the measurement instrument? We pre https://pulse-3k2.pages.dev/news/ff5e1bf2d868 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Same Evidence, Different Answer: Auditing Order Sensitivity in Multimodal Large Language Models arXiv:2606.26079v1 Announce Type: new Abstract: Standard benchmarks for multimodal large language models (MLLMs) score each item on one canonical ordering and miss whether order-irrelevant shuffling c https://pulse-3k2.pages.dev/news/522b79888cb7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Real-Time Voice AI Hears but Does Not Listen arXiv:2606.26083v1 Announce Type: new Abstract: Speech conveys information through both words and vocal delivery. We evaluate four leading production realtime voice systems-OpenAI's GPT Realtime 2, Go https://pulse-3k2.pages.dev/news/7ae6a2d0c417 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Invisible to humans, visible to machines: a preregistered audit of Unicode fidelity across four biomedical bibliographic APIs arXiv:2606.24897v1 Announce Type: cross Abstract: Biomedical text mining, scientometrics, and the construction of training corpora for biomedical large language models (LLMs) all assume that the abstr https://pulse-3k2.pages.dev/news/a2cb64316448 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Hitchhiker's Guide to Agentic AI: From Foundations to Systems arXiv:2606.24937v1 Announce Type: cross Abstract: The Hitchhiker's Guide to Agentic AI is a comprehensive practitioner's reference for building autonomous AI systems. The book covers the full stack fr https://pulse-3k2.pages.dev/news/5416204b00c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval arXiv:2606.24976v1 Announce Type: cross Abstract: Foundation-model agents in multi-step, open-ended environments frequently suffer from compounding errors, where early mistakes contaminate long-horizo https://pulse-3k2.pages.dev/news/d00c210b1ca1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG arXiv:2606.25191v1 Announce Type: cross Abstract: Multi-agent document assessment for retrieval-augmented generation is computationally expensive, driving practitioners toward smaller, deployable mode https://pulse-3k2.pages.dev/news/64b47a06cf67 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RAVEN: Long-Horizon Reasoning & Navigation with a Visuo-Spatio-Temporal Memory arXiv:2606.25206v1 Announce Type: cross Abstract: Long-term robot deployment requires a compact and scalable memory that preserves fine-grained visual semantics, grounds observations in space and time https://pulse-3k2.pages.dev/news/e6cd03726110 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multilingual Hematology Visual Question Answering Dataset arXiv:2606.25246v1 Announce Type: cross Abstract: Vision Language Models (VLMs) have shown promising capabilities in medical image analysis by jointly understanding visual and textual information for https://pulse-3k2.pages.dev/news/e7b4e2c28b0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring Research Difficulty of Academic Papers: A Case Study in Natural Language Processing arXiv:2606.25307v1 Announce Type: cross Abstract: With the rapid growth of the number of academic papers, systematically evaluating the difficulty of research and its relationship to academic impact o https://pulse-3k2.pages.dev/news/da81d4670dfd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities arXiv:2606.25320v1 Announce Type: cross Abstract: Since the 1990s, advancements in big data and information technology have increasingly driven data-centric research in the field of Library and Inform https://pulse-3k2.pages.dev/news/5d0f7b352671 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sarashina2.2-TTS: Tackling Kanji Polyphony in Japanese Speech Generation via Data Scaling and Targeted Data Synthesis arXiv:2606.25369v1 Announce Type: cross Abstract: While large language model (LLM)-based text-to-speech (TTS) systems have achieved high-quality speech synthesis, most existing systems focus on Englis https://pulse-3k2.pages.dev/news/e6e666615ad6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Oscillatory Inductive Bias for Modeling Sharp Prosodic Dynamics in Diffusion-Based TTS arXiv:2606.25424v1 Announce Type: cross Abstract: Diffusion-based text-to-speech (TTS) models have achieved significant improvements in speech quality. However, modeling sharp prosodic transitions and https://pulse-3k2.pages.dev/news/94be1bbe8d40 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating Japanese Dialect Robustness Across Speech and Text-based Large Language Models arXiv:2606.25436v1 Announce Type: cross Abstract: Dialogue systems based on large language models (LLMs) have advanced significantly in recent years. However, dialectal variation remains a major chall https://pulse-3k2.pages.dev/news/06427a1f5483 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does Translation-Enhanced Speech Encoder Pre-training Affect Speech LLMs? arXiv:2606.25444v1 Announce Type: cross Abstract: Connecting a pre-trained speech encoder to a Large Language Model (LLM) is the standard architecture for building Speech LLMs. However, a structural m https://pulse-3k2.pages.dev/news/af8cd7bbe89d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fully Differentiable Neural Forced Alignment via Soft Dynamic Programming arXiv:2606.25460v1 Announce Type: cross Abstract: Recent advances in sequence modeling have significantly improved ASR systems, bringing them close to human-level recognition accuracy and enhancing ro https://pulse-3k2.pages.dev/news/3bf0e65f1a9f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cliff Tokens: Identifying Single-Token Failure Triggers in LLM Mathematical Reasoning arXiv:2606.25524v1 Announce Type: cross Abstract: Large language models (LLMs) reach high accuracy in mathematical reasoning, but individual traces on the same problem diverge; some arrive at the corr https://pulse-3k2.pages.dev/news/399cb168aee1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating LLMs on Real-World Software Performance Optimization arXiv:2606.25530v1 Announce Type: cross Abstract: Software performance optimization is a notoriously complex and manual task. Despite the growing use of Large Language Models (LLMs) for code refinemen https://pulse-3k2.pages.dev/news/4b0e41c57682 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Security and Privacy in Retrieval-Augmented Generation: Architectures, Threats, Defenses, and Future Directions for Building Trustworthy Systems arXiv:2606.25533v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a dominant paradigm for enhancing large language models with external knowledge. By coupling retri https://pulse-3k2.pages.dev/news/bd5153d97642 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tracing Target Answers in Poisoned Retrieval Corpora via Token Influence Attribution arXiv:2606.25721v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems are vulnerable to corpus poisoning attacks that manipulate model outputs through malicious retrieved docu https://pulse-3k2.pages.dev/news/8a8ad5750e8e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RAS: Measuring LLM Safety Through Refusal Alignment arXiv:2606.25750v1 Announce Type: cross Abstract: Safety evaluation of large language models (LLMs) is commonly performed by querying models with unsafe or jailbreak prompts and judging whether their https://pulse-3k2.pages.dev/news/687d1423d1cd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets arXiv:2606.25760v1 Announce Type: cross Abstract: Computer-use agents turn vision-language model (VLM) predictions into executable GUI clicks, so reliable uncertainty estimates are essential for rejec https://pulse-3k2.pages.dev/news/d10174b9bc94 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Space-Efficient Language Generation in the Limit arXiv:2606.25777v1 Announce Type: cross Abstract: We initiate a resource-aware theory of \textit{language generation in the limit} under the minimal constraint of space efficiency. In our framework, a https://pulse-3k2.pages.dev/news/80d784d0ad67 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Large Language Models Source Brand Reputation Across Languages and Markets arXiv:2606.25787v1 Announce Type: cross Abstract: When a large language model (LLM) answers a question about a company, it grounds the answer in retrieved web sources, and those sources decide what th https://pulse-3k2.pages.dev/news/8352803d513d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Autodata: An agentic data scientist to create high quality synthetic data arXiv:2606.25996v1 Announce Type: cross Abstract: We introduce Autodata, a general method that enables AI agents to act as data scientists who build high quality training and evaluation data. We show https://pulse-3k2.pages.dev/news/2fea3234573a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Robust is OCR-Reasoning? Evaluating OCR-Reasoning Robustness of Vision-Language Models under Visual Perturbations arXiv:2606.26041v1 Announce Type: cross Abstract: Vision-language models (VLMs) have achieved strong performance on OCR-based benchmarks and increasingly focused on text-rich understanding, but their https://pulse-3k2.pages.dev/news/df70b25514d3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining arXiv:2606.26050v1 Announce Type: cross Abstract: Midway through an ordinary pretraining run, a small language model learns the pronoun-gender rule: cued with a girl's name ("Sue cried because"), it r https://pulse-3k2.pages.dev/news/10f133ec22f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Erase Private Knowledge from Multi-Documents for Retrieval-Augmented Large Language Models arXiv:2504.09910v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) is a promising technique for applying LLMs to proprietary domains. However, retrieved documents may contain sen https://pulse-3k2.pages.dev/news/52b7c878373d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Systematic Analysis of Hybrid Linear Attention arXiv:2507.06457v2 Announce Type: replace Abstract: Transformers face quadratic complexity and memory issues with long sequences, prompting the adoption of linear attention mechanisms using fixed-size https://pulse-3k2.pages.dev/news/fff71b5e0d0e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scale or Reason? A Compute-Equivalent Analysis of Reasoning Distillation arXiv:2509.22193v2 Announce Type: replace Abstract: Distilling reasoning traces from strong teacher models has become the standard recipe for building capable small language models. Yet reasoning trac https://pulse-3k2.pages.dev/news/eba88af4b932 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Robustness assessment of large audio language models in multiple-choice evaluation arXiv:2510.04584v2 Announce Type: replace Abstract: Recent advances in large audio language models (LALMs) have primarily been assessed using a multiple-choice question answering (MCQA) framework. How https://pulse-3k2.pages.dev/news/d2626b7d6440 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Pragmatics Shape Articulation: A Computational Case Study in STEM ASL Discourse arXiv:2510.23842v2 Announce Type: replace Abstract: Most state-of-the-art sign language models are trained on interpreter or isolated vocabulary data, which overlooks the variability that characterize https://pulse-3k2.pages.dev/news/b238dc9b73f9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs arXiv:2511.05933v2 Announce Type: replace Abstract: Reinforcement learning (RL) is often credited with improving language model reasoning at the expense of knowledge. We challenge this narrative by sh https://pulse-3k2.pages.dev/news/56f78c4ee633 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constituency Structure over Eojeol in Korean Treebanks arXiv:2512.22487v2 Announce Type: replace Abstract: The design of Korean constituency treebanks raises a central representational question concerning the choice of terminal units. Although Korean word https://pulse-3k2.pages.dev/news/cb0b2d1b5989 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents arXiv:2601.03785v3 Announce Type: replace Abstract: Long-term human-agent dialogues are organized by topic continuity: adjacent turns often develop the same goal, plan, problem, or event, while relate https://pulse-3k2.pages.dev/news/636f23b6aecc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme-Based Analysis of Climate Discourse arXiv:2601.13317v2 Announce Type: replace Abstract: Climate discourse online shapes public understanding of climate change and informs political and policy debate, yet it unfolds across structurally d https://pulse-3k2.pages.dev/news/89d2c73fef02 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure arXiv:2602.01472v2 Announce Type: replace Abstract: Large reasoning models (LRMs) typically solve reasoning-intensive tasks by generating long chain-of-thought (CoT) traces, leading to substantial inf https://pulse-3k2.pages.dev/news/511d7ac27607 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge arXiv:2602.02219v2 Announce Type: replace Abstract: Large language models are widely employed as evaluators, a paradigm commonly referred to as LLM-as-a-judge. Prior research has predominantly examine https://pulse-3k2.pages.dev/news/740ea34d8da8 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT-AgenticWorkflow-01.jpg?itok=GQ871Ygt Improving the speed and energy-efficiency of AI agents A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications. https://pulse-3k2.pages.dev/news/444e8a034374 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18239/gradient.png EBench: Elemental Diagnosis of Generalist Mobile Manipulation Policies Abstract EBench is a comprehensive simulation benchmark for evaluating generalist mobile manipulation policies across diverse tasks and dimensions, revealing distinct capability profiles and generaliz https://pulse-3k2.pages.dev/news/23f037c5a05f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26092/gradient.png TryOnCrafter: Unleashing Camera Trajectories for Realistic Video Virtual Try-on via a Renderable 4D Try-on Proxy Abstract Camera-controllable video virtual try-on framework uses a 4D proxy with explicit human-environment decoupling and DiT-based video generation for omnidirectional viewing. Generated by Qwen/Qwe https://pulse-3k2.pages.dev/news/2829db098496 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/02a05340c27a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24775/gradient.png Are We Ready For An Agent-Native Memory System? Abstract Large language model agents' memory systems have evolved into complex data management frameworks requiring systematic evaluation across multiple modules and workloads to understand their perf https://pulse-3k2.pages.dev/news/f8e8c9acc804 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bfad68279268 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7eb849c81af7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6238ef534a0e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22565/gradient.png Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do Abstract Multimodal Chain-of-Thought reasoning shows selective effectiveness across different tasks, with limitations in maintaining visual introspection during reasoning processes. Generated by Qwen/ https://pulse-3k2.pages.dev/news/39012b003421 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c1f7a6b1f477 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.26058/gradient.png DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation Abstract DomainShuttle enables open domain subject-driven text-to-video generation with high fidelity and flexibility across in-domain and cross-domain scenarios through domain-aware modeling and dual https://pulse-3k2.pages.dev/news/da9d33ad3bae 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24033/gradient.png RoPE-Aware Bit Allocation for KV-Cache Quantization Abstract Block-GTQ introduces a RoPE-aware bit allocation method for key-cache quantization that improves attention accuracy and downstream performance through adaptive bit distribution and packed cac https://pulse-3k2.pages.dev/news/b98cb8dea305 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15932/gradient.png Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence Abstract This survey explores multimodal code intelligence systems that generate and reason with code based on visual inputs, categorizing approaches across GUI, scientific visualization, structured g https://pulse-3k2.pages.dev/news/7c6111284e72 2026-07-02 monthly 0.7 https://cf-assets.www.cloudflare.com/zkvhlag99gkb/6fEPzehWZ8mfroJDIf30mC/636b651767a7cc41dd8b4e7093490a11/OG_Share_2024-2025-2026__40_.png Cloudflare launched self-managed OAuth for all Article URL: https://blog.cloudflare.com/oauth-for-all/ Comments URL: https://news.ycombinator.com/item?id=48668033 Points: 263 # Comments: 114 https://pulse-3k2.pages.dev/news/f5d2e2f5c796 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3686b7612b8d 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!LH6a!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd1a3d909-a54b-4acd-aa2c-33823f9e032e_878x674.png [AINews] It's Meta-Harness Summer Move over, Harness Engineering, it is time for the harness of harnesses! https://pulse-3k2.pages.dev/news/385d2778c9cc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24849/gradient.png IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation Abstract Implicit Visual Chain-of-Thought decomposes visual conditioning into structural and semantic cascades for improved structure-aware image generation with sketch supervision. Generated by Qwen/ https://pulse-3k2.pages.dev/news/3d99cf87d464 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/3JAh8VK98LHki9m4sr8KIR/3580b8ab65aca167342a3c674847531e/SEO_Card__2_.png?w=1600&h=900&fit=fill How agents are transforming work A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles. https://pulse-3k2.pages.dev/news/66adccd05f8c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24484/gradient.png Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods Abstract A large-scale synthetic dataset and specialized model architecture are introduced to address the challenges of artistic text recognition by improving data diversity and model flexibility for https://pulse-3k2.pages.dev/news/78e27ffcb588 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.25041/gradient.png Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models Abstract Wan-Streamer is a unified, end-to-end multimodal model that enables real-time audio-visual interaction through causal attention mechanisms and integrated processing of visual, audio, and text https://pulse-3k2.pages.dev/news/0fe36dfe6f1c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f5a57210ced8 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/a5cf16240ed539efe07db6fc88129e1dee3b8b0051d67bbefb9ecaf6739662a0/LuaJIT/LuaJIT/issues/1475 LuaJIT 3.0 proposed syntax extensions Article URL: https://github.com/LuaJIT/LuaJIT/issues/1475 Comments URL: https://news.ycombinator.com/item?id=48667336 Points: 201 # Comments: 119 https://pulse-3k2.pages.dev/news/afc69a74fe6a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0978767d2f7c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24595/gradient.png MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery Abstract Long-term memory in LLM agents should be evaluated as an auditable post-interaction artifact by reconstructing structured user state from the agent's memory, as demonstrated by MEMPROBE, a be https://pulse-3k2.pages.dev/news/dfabaa4dd4d0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/01/ASML-GettyImages-2258043611.jpg?w=1024 Europe is pushing back on Washington’s chip war As ASML CEO Christophe Fouquet told TechCrunch in May, what China can currently buy are older-generation deep ultraviolet tools — gear first shipped about a decade ago — the same machines the MATCH Ac https://pulse-3k2.pages.dev/news/13fe84c83c60 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3b9b7191bf2 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3AHwFbxwzfhp8zC9WcjRHl/5ae56b285de125b5b992e879e6a1ca89/deep_agents_and_opencode_available_in_ai_sdk_harne_og_card.jpg Deep Agents and OpenCode are now available in the AI SDK Harness The AI SDK Harness lets you run established coding-agent runtimes through one unified interface, so you can switch runtimes without changing your application code. Today we're adding two new adapters, https://pulse-3k2.pages.dev/news/802363aee510 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/00d10d8ac734 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/017119b4a5b9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/vishal-sikka-indiaai-summit.jpg?resize=1200,800 Former Infosys chief has a new startup that wants to challenge the IT services world Backed by Mayfield and Aramco Ventures, Vishal Sikka’s new venture brings together veterans from SAP, Infosys, and VianAI. https://pulse-3k2.pages.dev/news/2e001241fe3b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23991/gradient.png Critique of Agent Model Abstract True artificial agency requires internalized structures for goals, identity, decision-making, self-regulation, and learning, distinguishing autonomous systems from task-specific ones. Generat https://pulse-3k2.pages.dev/news/935096bdef6e 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/GettyImages-1251294592.jpg?w=1024 Cerebras stock plunges after earnings as CEO says margin outlook was misunderstood In its first earnings report since going public, the AI chipmaker forecast a narrower gross margin in its core business, scaring investors. https://pulse-3k2.pages.dev/news/3481c120960d 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/openai-broadcom-jalapeno-inference-chip-image-1152x648.webp OpenAI and Broadcom announce chip designed for LLM inference at scale The silicon race is heating up amid the struggle to keep up with demand. https://pulse-3k2.pages.dev/news/8aa09f5349d6 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/32KMpmWMjTmrRCwAxv5Pzj/ae350ba8c52013e3445275417af20b80/image.png Vercel Flags no longer requires SDK Keys for Vercel deployments New projects using Vercel Flags no longer need to configure SDK Keys or the FLAGS environment variable when evaluating flags inside a Vercel deployment. At runtime, the Vercel adapter automatically re https://pulse-3k2.pages.dev/news/edf1df1d26da 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c955e39d506d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/01/GettyImages-1250956868.jpg?resize=1200,800 AI was supposed to kill engineering jobs, but new data suggests they’re the most resilient While AI dominates the layoff narrative, engineers as a share of total new hires have actually increased, according to SignalFire data. https://pulse-3k2.pages.dev/news/a536d55463d3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/02/glitched-google-logo.jpg?resize=1200,645 AI researchers continue to leave Google for its rivals Top AI researchers Jonas Adler and Alexander Pritzel are leaving Google for Anthropic, following departures from top scientists Noam Shazeer and John Jumper. https://pulse-3k2.pages.dev/news/268cd451c527 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/micron-HQ-GettyImages-2147904174.jpg?resize=1200,801 The memory chip crunch is paying off for this U.S. company Revenue quadrupled to $41.45 billion compared with the same period a year ago. The company's profit, meanwhile, rose from $1.88 billion to an incredible $28.2 billion year-over-year. https://pulse-3k2.pages.dev/news/27e90d1d0b73 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aec3ecd84ed7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/833f566801f5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/67ab425558a1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/59611a1cb63a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/afb8089705c6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f25071e58b19 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!QzAR!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6f6313d7-79b7-4d24-b2d6-87ecf82baebd_1200x800.png The State of AI, 2026 A nuanced analysis and a glimpse of the future https://pulse-3k2.pages.dev/news/2476e53a8912 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/03/claude-app-centered-in-ai-apps-GettyImages-2167861906.jpg?resize=1200,801 Companies are scrambling to stop employees from maxing out AI budgets with small tasks The tokenmaxxing era was brief. We now appear to be entering the era of token rationing. https://pulse-3k2.pages.dev/news/1ec6d031a79f 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/8dc96346-394c-4218-8c72-088f1ef65e82_701x432.png The Once And Future Fable #4 It does look good, actually. https://pulse-3k2.pages.dev/news/81f96effbd8e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3cb0afd9fd52 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/14250bb2e532 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24884/gradient.png InSight: Self-Guided Skill Acquisition via Steerable VLAs Abstract InSight enables autonomous skill acquisition for vision-language-action models through primitive-action level steerability and automated demonstration generation. Generated by Qwen/Qwen2.5-Co https://pulse-3k2.pages.dev/news/674286996480 2026-07-02 monthly 0.7 https://preview.redd.it/c62v5zmf5a9h1.png?width=140&height=140&auto=webp&s=e26f6ef35ecfb7ae50c88c4097ded10d540f87dc SDXL running locally in the browser on WebGPU, open-source I needed simple local image generation without the usual setup. No virtual environments, no ComfyUI with a complex graph and installation as an exe. So i tried to push the whole thing into the browser https://pulse-3k2.pages.dev/news/55cc134cde26 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a576e81b50bc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c2fbf4cef86e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e04cbdbe7ce7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1e1a81ff2c0c 2026-07-02 monthly 0.7 https://external-preview.redd.it/I7c_pcOshQ4Oma3ujGcBjnZjA6Hg1UiiKtYu8omegWk.jpeg?width=640&crop=smart&auto=webp&s=906260f03c551b3c40fc5f365643920f0e2edb6a MINISFORUM DEG1 Oculink eGPU Dock Refurbished - $59 I got one of these refurbished units last year. I have nothing but good things to say about it. It works great. It has heft to it to keep the GPU secure. And unlike some cheaper Oculink docks, it has https://pulse-3k2.pages.dev/news/0c8957da82f8 2026-07-02 monthly 0.7 https://external-preview.redd.it/Go7zlxhewkLxNN5-ZvZe623w5Zrdi3SXYEIr0JeEGQk.png?width=140&height=75&auto=webp&s=2d3a7ad647024e077a4b7f7b5746c806eba71b8a High Dimensional, Dynamic Rotary Positional Embedding [P] At the end of my last post , I presented an idea: what if I used the core of my last project, the cumulative matrix product, and repurposed it as a positional embedding? I just finished fleshing out t https://pulse-3k2.pages.dev/news/691896561257 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c940ae22edb4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7572938d99f0 2026-07-02 monthly 0.7 https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3-5__keyword__blog-header__light_7VsKV.width-1300.png Computer use in Gemini 3.5 Flash Article URL: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-computer-use-gemini-3-5-flash/ Comments URL: https://news.ycombinator.com/item?id=48662999 Points: 204 https://pulse-3k2.pages.dev/news/4a09296732a3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/facebook-logo-on-phone.jpg?resize=1200,800 Facebook rolls out an AI companion app for creators The new app, which is currently being tested with select creators, will have Facebook's recently launched AI creator assistant built into it. https://pulse-3k2.pages.dev/news/89b44520b206 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/04d9a803269f 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/03/Agility-Robotics-DIGIT-9.jpg?resize=1200,675 Agility Robotics plans to go public via SPAC in a $2.5B deal Agility Robotics, the humanoid robotics startup that spun out of Oregon State University in 2015, expects to generate $620 million in proceeds. https://pulse-3k2.pages.dev/news/92b4b0a3e812 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/13b3c0c1127b 2026-07-02 monthly 0.7 https://external-preview.redd.it/MG9wNTJnM2U5OTloMVGn1VoDBjzmk8roEoliBWndjou0NskPzx9cuM_N15wR.png?width=640&crop=smart&auto=webp&s=68bf71ac2857b4d1a56739c28198755394069ead Sipp - an open-source library for in-browser inference built on llama.cpp GitHub: https://github.com/noumena-labs/Sipp   submitted by   /u/lordhiggsboson [link]   [comments] https://pulse-3k2.pages.dev/news/8c2f1807d1ec 2026-07-02 monthly 0.7 https://blog.omgmog.net/assets/ogimage-generic.png The Xteink X4 E-Ink Reader Article URL: https://blog.omgmog.net/post/xteink-x4-e-ink-reader/ Comments URL: https://news.ycombinator.com/item?id=48662381 Points: 215 # Comments: 124 https://pulse-3k2.pages.dev/news/172fd12b4fe6 2026-07-02 monthly 0.7 https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gemini-3-5__keyword__blog-header__light_7VsKV.width-1300.png Introducing computer use in Gemini 3.5 Flash Introducing computer use in Gemini 3.5 Flash Jun 24, 2026 · Share x.com Facebook LinkedIn Mail Computer use is now a built-in tool in Gemini 3.5 Flash to build agents that can interact across platform https://pulse-3k2.pages.dev/news/a8534548656c 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/05/tensorrt-optimized-industries-1.webp Accelerating BEV Pooling on NVIDIA GPUs for Physical AI Applications An increasingly common design pattern for autonomous vehicles (AVs), robotics, and spatial AI systems is bird's-eye-view (BEV) perception. BEV models project... https://pulse-3k2.pages.dev/news/5c8c8ab48ccb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c126816b16c9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b6a13b5e4f48 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Config-product-feat.jpg?resize=1200,675 Figma adds code layers, support for animations, more AI features in new update Figma's update adds a new code layer, support for motion and shaders, and the ability to create custom plug-ins for various tasks using AI. https://pulse-3k2.pages.dev/news/ad312ce43598 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/690d0a6c2c5acfe0e1f4777d/1N4GjIYBsZ6RCReRx_qBB.png Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel Back to Articles a]:hidden"> Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel Enterprise + Article Published June 24, 2026 Upvote - Adil Asif adil-asif nvidia Alexandros Koumparoulis a https://pulse-3k2.pages.dev/news/7c502c448bbf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7c3a842d1e9d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/836b89c92a96 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22197/gradient.png Multi4D: High-Fidelity Dynamic Gaussian Splatting via Multi-Level Competitive Allocation Abstract Multi4D addresses the trade-off between motion consistency and visual fidelity in dynamic 3D Gaussian splatting through a multi-level competitive allocation framework that enables adaptive sp https://pulse-3k2.pages.dev/news/b7cef4be3395 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2645764acb7e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d6bb4be6138d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2018/02/tc-backlight-e1689786273147.png?w=1200 OpenAI unveils its first custom chip, built by Broadcom Named Jalapeño, the new processor was designed specifically for the unique needs of OpenAI's inference systems. https://pulse-3k2.pages.dev/news/edf09ff59874 2026-07-02 monthly 0.7 https://rubyllm.com/assets/images/og/pages/rubyllm.png RubyLLM: A Ruby framework for all major AI providers Article URL: https://rubyllm.com/ Comments URL: https://news.ycombinator.com/item?id=48660711 Points: 206 # Comments: 25 https://pulse-3k2.pages.dev/news/61cebb5cfcee 2026-07-02 monthly 0.7 https://greptile.com/opengraph/greptile-blog.png PR spam today looks like email spam in the early 2000s Article URL: https://www.greptile.com/blog/prs-on-openclaw Comments URL: https://news.ycombinator.com/item?id=48660579 Points: 208 # Comments: 120 https://pulse-3k2.pages.dev/news/f3b70f4d99e7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2f2e8994e54f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/499a25679718 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/3d6321d6ed6ea37a749f96bc52b074ddcf92bf50b1ff9985719ef4d2e9b31873/nubjs/nub Show HN: Nub – A Bun-like all-in-one toolkit for Node.js Colin here, creator of Nub. I’ve had the general shape of this in mind for years. Nub runs your code with stock `node`, augmented with a `--require` preload hook[0] that adds a transpiler (oxc-powered https://pulse-3k2.pages.dev/news/da0ee3bbeda7 2026-07-02 monthly 0.7 https://blogs.nvidia.com/wp-content/uploads/2026/06/45CLiquidCooling.jpg 45°C cooling design cuts data center water use to near zero Article URL: https://blogs.nvidia.com/blog/liquid-cooling-ai-factories/ Comments URL: https://news.ycombinator.com/item?id=48660178 Points: 206 # Comments: 157 https://pulse-3k2.pages.dev/news/0ab3d75690d1 2026-07-02 monthly 0.7 https://spectrum.ieee.org/media-library/image.png?id=67001745&width=1200&height=600&coordinates=0%2C255%2C0%2C244 AI learns the “dark art” of RFIC design Article URL: https://spectrum.ieee.org/ai-radio-chip-design Comments URL: https://news.ycombinator.com/item?id=48660021 Points: 228 # Comments: 149 https://pulse-3k2.pages.dev/news/49711f4f6cd0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/01/TC-All-Stage-2025-Charles-Hudson-Breakout-Session-Audience.jpg?resize=1200,800 3 days left to save up to $190 on your TechCrunch Founder Summit 2026 pass You have just 3 days left to save up to $190 on your pass to TechCrunch Founder Summit 2026 before Early Bird rates end on June 26 at 11:59 p.m. PT. Register here. https://pulse-3k2.pages.dev/news/af03bd1fb5ad 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cd2c7e6c2c0a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9a9032789365 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23679/gradient.png Semantic Browsing: Controllable Diversity for Image Generation Abstract Text-to-image models are enhanced with controlled diversity through semantic browsing capabilities that enable structured navigation of image variations based on meaningful semantic decisions https://pulse-3k2.pages.dev/news/3ef3220cea14 2026-07-02 monthly 0.7 https://ben-mini.com/assets/images/logo-square.png Stealing Is a Skill Article URL: https://ben-mini.com/2026/stealing-is-a-skill Comments URL: https://news.ycombinator.com/item?id=48659165 Points: 216 # Comments: 131 https://pulse-3k2.pages.dev/news/f0174e55de83 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1a83c12974a6 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZqiNYq4EC34B49F1vaygrUoGE2pUwFDHr0hlbYLgXzU.png?width=640&crop=smart&auto=webp&s=d0db6d7ab9474a06b527699f509ebbd5d3dcf7d5 Nex-N2-Mini-Ultra-Uncensored-Heretic Is Out Now, an Agentic Model With Agentic Thinking Now Uncensored With 5/100 Refusals and 0.0020 KLD, Available in Safetensors and GGUF Formats! Safetensors: https://huggingface.co/llmfan46/Nex-N2-mini-ultra-uncensored-heretic GGUFs: https://huggingface.co/llmfan46/Nex-N2-mini-ultra-uncensored-heretic-GGUF Find all my models here: HuggingFace- https://pulse-3k2.pages.dev/news/f003c3eaee77 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f93691861073 2026-07-02 monthly 0.7 https://paolino.me/assets/images/og/posts/founding-a-company-in-germany.png Founding a company in Germany: €9600, 152 days and I still can't send an invoice Article URL: https://paolino.me/founding-a-company-in-germany/ Comments URL: https://news.ycombinator.com/item?id=48658718 Points: 282 # Comments: 334 https://pulse-3k2.pages.dev/news/cdd4a621075c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50ccaed5cf58 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24526/gradient.png AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning Abstract Large language models face challenges in archive-grounded reasoning tasks involving evidence retrieval and synthesis across diverse document collections, with performance varying significantl https://pulse-3k2.pages.dev/news/90ccf73a2a71 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9fca72dbae7d 2026-07-02 monthly 0.7 https://wp.technologyreview.com/wp-content/uploads/2026/06/iStock-1714934690.jpg The emergence of the web data infrastructure layer for AI AI is booming. New use cases are emerging each day. To capitalize on the technology’s potential, enterprises require data at scale. In many cases, though, the relevant information is blocked or unstru https://pulse-3k2.pages.dev/news/96a11acf16ac 2026-07-02 monthly 0.7 https://preview.redd.it/4vj50mvhu79h1.png?width=140&height=63&auto=webp&s=f53b566e7aa9a25215aa77fcf3ed0b16e426e2a1 I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R] I've been comparing GPU/LLM providers for a side project and ended up with way too many browser tabs and spreadsheets. So I decided to pull the public pricing data into one sheet and compare it side b https://pulse-3k2.pages.dev/news/f1c6e0e4d1ce 2026-07-02 monthly 0.7 https://preview.redd.it/zjduf8zns79h1.gif?frame=1&width=140&height=69&auto=webp&s=9cdfeb0e187373d36db0bc7e059652a1ce4a1d4b How Baidu's newly released Unlimited-OCR transcribes dozens of pages in one forward pass https://i.redd.it/zjduf8zns79h1.gif Baidu released Unlimited-OCR 2 days ago, and they claim it can transcribe dozens of pages in one forward pass. I read the research paper, and decided to make a post https://pulse-3k2.pages.dev/news/c50b0dc35959 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23997/gradient.png ChartWalker: Benchmarking the Cross-Chart RAG Task Abstract ChartWalker presents a novel framework for cross-chart retrieval-augmented generation with hierarchical knowledge graph construction and structure-aware sampling for challenging multi-modal a https://pulse-3k2.pages.dev/news/7ce1281c5b71 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2fdcb21932cf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0c8ad0290696 2026-07-02 monthly 0.7 https://s0.wp.com/_si/?t=eyJpbWciOiJodHRwczpcL1wvaTAud3AuY29tXC9zdHJhdGVjaGVyeS5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMThcLzAzXC9jcm9wcGVkLWFuZHJvaWQtY2hyb21lLTUxMng1MTItMS5wbmc_Zml0PTUxMiUyQzUxMiZzc2w9MSIsInR4dCI6IlN0cmF0ZWNoZXJ5IGJ5IEJlbiBUaG9tcHNvbiIsInRlbXBsYXRlIjoiZWRnZSIsImZvbnQiOiIiLCJibG9nX2lkIjoxODgwNDM0MTV9.5VWck4PcKPWCTPe_HVznn3n3xsgn-G0b3d2OeiNNC7cMQ My Vibe Coding Adventure, The App and the Experience, Ten Takeaways My experience and reflections on vibe coding an app that I plan on actually using regularly. https://pulse-3k2.pages.dev/news/d51a11c6f093 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/402699dfcf3e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20027/gradient.png QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging Abstract QG-MIL introduces a gated transformer aggregator for multiple instance learning in medical imaging that stabilizes attention distribution and improves prediction consistency across different https://pulse-3k2.pages.dev/news/e50c40602c94 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/56d04dbb0ba8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20092/gradient.png EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies Abstract EventVLA addresses long-horizon robotic manipulation challenges by introducing a sparse visual evidence memory framework with visual anchors and dynamic Keyframe Evidence Memory module for im https://pulse-3k2.pages.dev/news/921001ffed33 2026-07-02 monthly 0.7 https://dev.karltryggvason.com/you-cant-unit-test-for-taste/itlr-poi-screenshot.png You can't unit test for taste Article URL: https://dev.karltryggvason.com/you-cant-unit-test-for-taste/ Comments URL: https://news.ycombinator.com/item?id=48657049 Points: 228 # Comments: 111 https://pulse-3k2.pages.dev/news/ebc96034fb08 2026-07-02 monthly 0.7 https://bunny.net/blog/content/images/2026/06/DNS_-Free-DNS-blog-post--1-.png We're making Bunny DNS free: because a faster internet won't build itself Article URL: https://bunny.net/blog/were-making-bunny-dns-free/ Comments URL: https://news.ycombinator.com/item?id=48657030 Points: 241 # Comments: 73 https://pulse-3k2.pages.dev/news/461df5eaff4f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4a57651c4ee1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e6d2f27bb69b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c601534806e6 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!q5Em!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F__ss-rehost__tw-video-preview-13_2069465784653348866.jpg [AINews] Claude Tag: Multiplayer, Proactive, Persistent Agents in Slack Claude finally gets a Slackbot upgrade https://pulse-3k2.pages.dev/news/d83fdb7373a5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24855/gradient.png OpenThoughts-Agent: Data Recipes for Agentic Models Abstract An open-source data curation pipeline for training agentic language models is presented, demonstrating superior performance through systematic experimentation and scalable training data. Gene https://pulse-3k2.pages.dev/news/c3284f9f2a7b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24888/gradient.png DiffusionBench: On Holistic Evaluation of Diffusion Transformers Abstract Researchers introduce NanoGen, a unified framework for training and evaluating diffusion transformers that demonstrates the need for comprehensive benchmarking beyond ImageNet class-condition https://pulse-3k2.pages.dev/news/68d9a5071238 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24874/gradient.png FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation Abstract FLUX3D addresses limitations in image-to-3D Gaussian Splatting generation by improving representation learning and cross-modal alignment through specialized architectures and attention mechan https://pulse-3k2.pages.dev/news/6ec249785b74 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24742/gradient.png World Value Models for Robotic Manipulation Abstract World Value Model combines world models with value estimation to provide accurate task progression assessment and improve robotic policy learning from mixed-quality data. Generated by Qwen/Qw https://pulse-3k2.pages.dev/news/5bed16f2d6e9 2026-07-02 monthly 0.7 https://preview.redd.it/bvygyosia69h1.jpeg?width=640&crop=smart&auto=webp&s=1c1b083320d1bff87327e03fdd1480494703fa29 PCIE 5.0 16x split into 2x8 with riser cable Hey guys Thanks in advance for your help and knowledge! My setup is born out of the parts I had at hand. Wanting to maximise VRAM with an RTX 4070 that I had in another system that I only used once or https://pulse-3k2.pages.dev/news/98b5543c3ea5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2602.09379/gradient.png LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis Abstract A large-scale multi-agent benchmark for evaluating LLMs in Chinese psychiatric diagnosis is introduced, highlighting challenges in dynamic consultation and the gap between consultation qualit https://pulse-3k2.pages.dev/news/4e623f8f673c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/855db08b75f6 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4DeZq8e24W4qgIrtAu4Xmg/54189176ae1c6150d94cac02fb104f79/openai-broadcom-jalapeno-inference-chip-image-16_9.png?w=1600&h=900&fit=fill OpenAI and Broadcom unveil LLM-optimized inference chip OpenAI and Broadcom introduce Jalapeño, a custom AI chip built for LLM inference to improve performance, efficiency, and scale across AI systems. https://pulse-3k2.pages.dev/news/6896e7698e74 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24876/gradient.png FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation Abstract Video diffusion models are adapted to decode explicit surface primitives directly from latent space, enabling high-quality 3D scene generation with improved geometric accuracy and real-time r https://pulse-3k2.pages.dev/news/4259105054c8 2026-07-02 monthly 0.7 https://external-preview.redd.it/eDVseHc2dGY2NjloMRjuwBG_We25XN8jEw_afS8_MTEG560MD4vWFWe_JI83.png?width=640&crop=smart&auto=webp&s=8c22af80bc2cbb91118b0a503ade21a10ab911fc Unlimited-OCR is now on ModelScope! A 3.3B multilingual OCR model for one-shot parsing across single images, multi-page documents, and PDFs. License: MIT Full-document parsing instead of cropped-region OCR 32K output length for long OCR sequences Base and gundam image modes for different document layouts Transformers inference + SGLang serving with Ope https://pulse-3k2.pages.dev/news/efc8bfa18f57 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d970599d14a6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/26bc8115de0a 2026-07-02 monthly 0.7 https://external-preview.redd.it/sP2Uazz_8jK3IzpWmTO2ygM48OHxekDuulEEdLpNk9g.png?width=640&crop=smart&auto=webp&s=7a18c1080185f98be8510386752a3c844b124d1c GitHub - QwenLM/Qwen-AgentWorld: Qwen-AgentWorld: Language World Models for General Agents   submitted by   /u/dan945 [link]   [comments] https://pulse-3k2.pages.dev/news/2738f7520625 2026-07-02 monthly 0.7 https://external-preview.redd.it/bIozUX6kr_7nwcgzbyqP0Ts6WGv8-t7apxHppI8bg5Y.png?width=640&crop=smart&auto=webp&s=6abd5ecf2c634514f4f632812282faa14cce0930 Speaking of those chinese chips... "Chinese supercomputer displaces US machines as world's fastest for first time since 2017"   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/8e1dbe7355ef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d1bd0d640b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search arXiv:2606.23739v1 Announce Type: new Abstract: We present an automated large-scale search pipeline for heterogeneous 4-Expert Mixture-of-Experts (MoE4) architectures within the LEMUR neural network d https://pulse-3k2.pages.dev/news/c856e20692cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Weight-Space Geometry of Offline Reasoning Training arXiv:2606.23740v1 Announce Type: new Abstract: Offline reinforcement-learning losses (RFT, RIFT, DFT, Offline GRPO, DPO) are widely used to distill reasoning from large teachers into smaller students https://pulse-3k2.pages.dev/news/5ab8482f79a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Survey on Federated Causal Discovery and Inference arXiv:2606.23741v1 Announce Type: new Abstract: Causal reasoning, which encompasses the discovery of causal structures and the inference of causal effects, is fundamental to data-driven decision makin https://pulse-3k2.pages.dev/news/bb1895515769 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-power analogue neural networks with trainable nonlinear connections for continuous control arXiv:2606.23742v1 Announce Type: new Abstract: Physical neural networks promise low-power machine learning by computing directly with analogue device physics, but most architectures force nonlinear d https://pulse-3k2.pages.dev/news/64e4f7586e4b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Synergizing Physically Constrained MCMC and Chemical-Informed Gaussian Processes for Reaction Network Discovery arXiv:2606.23757v1 Announce Type: new Abstract: Extracting interpretable governing equations from sparse, noisy chemical time-series data remains difficult because discrete reaction topology and conti https://pulse-3k2.pages.dev/news/cf58af041135 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring Dualistic Meta-Learning to Enhance Domain Generalization in Open Set Scenarios arXiv:2606.23758v1 Announce Type: new Abstract: Domain generalization learns from multiple source domains to generalize to unseen target domains. However, it often neglects the realistic case of label https://pulse-3k2.pages.dev/news/98fce975604e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png One Ruler: A Same-Hands Re-Evaluation of Bivariate Causal Direction on Tuebingen, with a Parameter-Free Compression Baseline arXiv:2606.23767v1 Announce Type: new Abstract: Headline accuracies on the Tuebingen cause-effect pairs are routinely compared across papers even though each is measured under its authors' own protoco https://pulse-3k2.pages.dev/news/f9da087da0b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deciphering Fingerprints of 3D Molecular Surfaces for Accurate Epitope Prediction arXiv:2606.23830v1 Announce Type: new Abstract: Molecular surfaces encode the geometric and physicochemical patterns that determine antibody-antigen recognition, central to epitope prediction. However https://pulse-3k2.pages.dev/news/fdfb610ed127 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America arXiv:2606.23833v1 Announce Type: new Abstract: Terrestrial water storage (TWS) integrates snow, soil moisture, surface water, and groundwater and is a key indicator of how climate variability and hum https://pulse-3k2.pages.dev/news/247916ec3946 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Degeneracy Distillery arXiv:2606.23838v1 Announce Type: new Abstract: When two or more parameters or labels produce similar data, they are degenerate, or hard to distinguish. Degeneracies render both label prediction and i https://pulse-3k2.pages.dev/news/bec64aee92eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine Learning Modeling for Real-Time Melt Pool Monitoring in Laser Powder Bed Fusion Additive Manufacturing: A Hybrid Approach arXiv:2606.23851v1 Announce Type: new Abstract: This work investigates the implementation of artificial intelligence and machine learning (AI/ML) for real-time monitoring in laser powder bed fusion (L https://pulse-3k2.pages.dev/news/d835dfbd1c91 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sesame: Structure-Aware Molecular Generation via Spatial Density-Map Conditioning arXiv:2606.23856v1 Announce Type: new Abstract: Generative molecular models for drug design are a promising direction with much active research. In the next phase of computational drug design, such mo https://pulse-3k2.pages.dev/news/40813fd4e38f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are Safety Guarantees in Neural Networks Safe? How to Compute Trustworthy Robustness Certifications arXiv:2606.23858v1 Announce Type: new Abstract: A primary challenge in AI safety is the existence of adversarial examples -- slightly distorted inputs that cause a neural network (NN) to misclassify. https://pulse-3k2.pages.dev/news/5c2410ec6094 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exact Schur-Sylvester Dimensionality Reductions for Non-Smooth Stochastic Complexity and Manifold Sampling arXiv:2606.23867v1 Announce Type: new Abstract: The exact computation of the Normalized Maximum Likelihood (NML) codelength for regular non-smooth estimators (e.g., Lasso) has been historically limite https://pulse-3k2.pages.dev/news/458282d88781 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Federated Survival Analysis in Healthcare: A Multi-Model Evaluation on Cross-Institutional Heterogeneous Breast Cancer Data arXiv:2606.23871v1 Announce Type: new Abstract: Survival analysis is central to clinical decision-making, yet reliable time-to-event models require large, diverse cohorts that are rarely available at https://pulse-3k2.pages.dev/news/21e06b9aed46 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MGI: Member vs Generated Inference arXiv:2606.23872v1 Announce Type: new Abstract: As generative models increasingly produce samples that are indistinguishable from human-created content, it becomes difficult to determine whether a giv https://pulse-3k2.pages.dev/news/01da8459c541 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Series arXiv:2606.23880v1 Announce Type: new Abstract: From climate teleconnections to gene regulation, modern time-series datasets encompass tens or hundreds of interacting variables, making causal discover https://pulse-3k2.pages.dev/news/945c20ea6662 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ARIA: Adaptive Region-Based Importance Allocation for Conditional Diffusion Distillation arXiv:2606.23898v1 Announce Type: new Abstract: Distilling conditional diffusion models aims to transfer the behavior of a large teacher to a smaller student while preserving alignment across conditio https://pulse-3k2.pages.dev/news/d8cf034eac40 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI arXiv:2606.23913v1 Announce Type: new Abstract: This article develops an architecture that creates a formally verifiable reward signal to train legal AI, adapting the LLM proposes, verifier disposes p https://pulse-3k2.pages.dev/news/f0cf5cd6013c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Catastrophic Compositional Generation: Why Vanilla Diffusion Models Fail to Extrapolate arXiv:2606.23920v1 Announce Type: new Abstract: The task of compositional generation involves using a conditional generative model, trained only on a subset of the possible conditions, to produce samp https://pulse-3k2.pages.dev/news/77f978cc8dbd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KLip-PPO: A per-sample KL perspective on PPO-Clip arXiv:2606.23932v1 Announce Type: new Abstract: Proximal Policy Optimization (PPO) is the standard policy-gradient algorithm for on-policy reinforcement learning. The literature presents it in two for https://pulse-3k2.pages.dev/news/1b9d147cb5b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DREG: A Layer-Wise Jacobian Regularization as a General-Purpose Penalty arXiv:2606.23942v1 Announce Type: new Abstract: We present a large-scale empirical study isolating the contributions of the Derivative Regularization penalty (DREG). Across a fully-crossed factorial s https://pulse-3k2.pages.dev/news/53ffd531361b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning the Koopman Operator using Attention Free Transformers arXiv:2606.23957v1 Announce Type: new Abstract: Learning Koopman operators with autoencoders enables linear prediction in a latent space, but long-horizon rollouts often drift off the learned manifold https://pulse-3k2.pages.dev/news/8496aa66a0ef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Forget Without Compromise: Nexus Sampling for Streaming KV-Cache Eviction Under Fixed Budgets arXiv:2606.23961v1 Announce Type: new Abstract: Long-context and agentic LLM workloads push the KV cache past any fixed memory budget, forcing the inference stack to permanently evict tokens at every https://pulse-3k2.pages.dev/news/5f01e1f2aed5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png 3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy arXiv:2606.23964v1 Announce Type: new Abstract: Self-supervised learning in fluorescence microscopy often relies on 2D projections, despite the inherently three-dimensional nature of cells. We present https://pulse-3k2.pages.dev/news/6777093aaebb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Comparative Study of Bayesian Contextual Bandits for Real-Time Warehouse Sorter Optimization arXiv:2606.23977v1 Announce Type: new Abstract: Efficient sorter diversion control of automated material handling systems (MHS) is critical for optimizing operational efficiency in large-scale warehou https://pulse-3k2.pages.dev/news/634cd927153b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Offline Reinforcement Learning for Warehouse SLAM Throughput Control arXiv:2606.23978v1 Announce Type: new Abstract: We present an offline reinforcement learning (RL) framework for optimizing SLAM throughput control in a warehouse fulfillment environment. SLAM (Scan/La https://pulse-3k2.pages.dev/news/3cf339812c8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Trigger: Reinforcement Learning at the Large Hadron Collider arXiv:2606.23993v1 Announce Type: new Abstract: High-throughput scientific facilities such as the Large Hadron Collider depend on real-time event filtering (\textit{triggering}) under tight constraint https://pulse-3k2.pages.dev/news/4b207103fc9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EMAgnet: Parameter-Space EMA Regularization for Policy Gradient Self-Play in Large Games arXiv:2606.23995v1 Announce Type: new Abstract: Recent work has established that regularized policy gradient methods such as PPO, when used in self-play, can match or exceed specialized game-theoretic https://pulse-3k2.pages.dev/news/3bd63b9838e1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cyclic Denoising Reveals Ultrastable Memories in Diffusion Models arXiv:2606.24000v1 Announce Type: new Abstract: We introduce cyclic denoising -- repeated forward and reverse diffusion at controlled noise amplitudes -- as an extraction attack for image diffusion mo https://pulse-3k2.pages.dev/news/1b0d974c3848 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fast and Slow Variational Continual Learning arXiv:2606.24007v1 Announce Type: new Abstract: Continual learning remains a major challenge for modern deep networks, partly because commonly used optimizers lack inherent mechanisms for continual ad https://pulse-3k2.pages.dev/news/97b9d7b3a95d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png You Don't Need to Run Every Eval arXiv:2606.24020v1 Announce Type: new Abstract: A modern model release reports scores on 40+ benchmarks and the same evaluations were run many more times before it: to track training progress, compare https://pulse-3k2.pages.dev/news/9542fa1e9c5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization arXiv:2606.24025v1 Announce Type: new Abstract: Diffusion models have achieved strong performance in image, text-to-image, and video generation, where conditional generation is often controlled by cla https://pulse-3k2.pages.dev/news/cf813a83201d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RoPE-Aware Bit Allocation for KV-Cache Quantization arXiv:2606.24033v1 Announce Type: cross Abstract: Existing low-bit KV-cache quantizers often treat each cached key as a flat vector. Under RoPE, however, a key's contribution to a future attention log https://pulse-3k2.pages.dev/news/329efda1c34c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rapid FinFET Modelling Using an Autoencoder arXiv:2606.24046v1 Announce Type: new Abstract: This work presents a machine learning framework that leverages an autoencoder (AE) for the efficient modeling of FinFET. We first calibrated a BSIM-CMG https://pulse-3k2.pages.dev/news/92f2cd75baa5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RAVEN: A Regime-Aware Variable-context Expert Network for Financial Time Series Forecasting arXiv:2606.24062v1 Announce Type: new Abstract: Financial time series forecasting presents structural challenges absent from standard benchmarks. Log-returns are non-stationary, exhibit exceptionally https://pulse-3k2.pages.dev/news/6dac5ccb47ec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Blockwise Policy-Drift Gating for On-Policy Distillation arXiv:2606.24084v1 Announce Type: cross Abstract: On-policy distillation (OPD) trains a student policy using teacher signals computed on trajectories sampled by the student itself. Recent work shows t https://pulse-3k2.pages.dev/news/05a20dc9b4af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction arXiv:2606.24087v1 Announce Type: new Abstract: Reconstructing continuous speech from scalp electroencephalography (EEG) remains fundamentally challenging. EEG provides a weak, spatially diffuse, and https://pulse-3k2.pages.dev/news/6b43d254b3eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FedUP: One-Shot Federated Unlearning via Centroid-Guided Plug-in Filters arXiv:2606.24113v1 Announce Type: new Abstract: Federated unlearning (FU) is critical for complying with legal mandates like the right to be forgotten in decentralized systems, yet current methods fac https://pulse-3k2.pages.dev/news/cebb23e629ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Top-1 Fails: Calibrating LoRA Monitors for Masked Diffusion LMs arXiv:2606.24119v1 Announce Type: cross Abstract: Discrete diffusion language model (DLM) fine-tuning inherits inexpensive diagnostics from denoising-time confidence monitors, but their PEFT-training https://pulse-3k2.pages.dev/news/fabda0eef63b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning arXiv:2606.24133v1 Announce Type: cross Abstract: The composition of training data, governed by the diversity of sources and their mixing strategy, is a cornerstone of Large Language Model (LLM) pre-t https://pulse-3k2.pages.dev/news/77ecf006232b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Time-Reparameterized Cumulative Intensity Extrapolation Sampler for Discrete Flow Matching arXiv:2606.24140v1 Announce Type: new Abstract: Discrete flow matching (DFM) provides a principled framework for generative modeling on discrete state spaces via continuous-time Markov chain dynamics. https://pulse-3k2.pages.dev/news/173e2e52045c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AsyncOPD: How Stale Can On-Policy Distillation Be? arXiv:2606.24143v1 Announce Type: new Abstract: On-policy distillation (OPD) trains a student on its own rollouts guided by teacher feedback and is becoming increasingly important for large language m https://pulse-3k2.pages.dev/news/d6d2c1ae310c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lightweight Transformer Models for On-Device Fault Detection: A Benchmark Study on Resource-Constrained Deployment arXiv:2606.24173v1 Announce Type: new Abstract: On-device fault detection enables real-time diagnostics without cloud dependency, but deploying machine learning models on resource-constrained hardware https://pulse-3k2.pages.dev/news/e262b72183df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Project Ariadne: Prompt-Conditioned Route Generation for Synthesis Planning arXiv:2606.24184v1 Announce Type: new Abstract: Retrosynthetic planning seeks to connect a target molecule to commercially available starting materials through a multistep route. Classical planners co https://pulse-3k2.pages.dev/news/9c59bb70f58f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Managing Task Execution for Unknown Workloads in Batteryless IoT: A Hardware-Agnostic Evaluation arXiv:2606.24340v1 Announce Type: new Abstract: In recent years, the Internet of Things (IoT) paradigm has been shifting toward batteryless, energy-harvesting architectures. Sustaining reliable operat https://pulse-3k2.pages.dev/news/f97797b8ff7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Parallel Manifold Steering: Efficient Adaptation of Large Associative Memories via Residual Energy Shaping arXiv:2606.24396v1 Announce Type: new Abstract: Large Transformer models function as Dense Associative Memories (DAMs), retrieving knowledge via high-dimensional attractor dynamics driven by the self- https://pulse-3k2.pages.dev/news/a8b759b4091a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Natural Identifiers for Privacy and Data Audits in Large Language Models arXiv:2606.24408v1 Announce Type: new Abstract: Assessing the privacy of large language models (LLMs) presents significant challenges. In particular, most existing methods for auditing differential pr https://pulse-3k2.pages.dev/news/331990a03180 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Data Augmentation: A Fourier Analysis Perspective arXiv:2606.24418v1 Announce Type: new Abstract: Data augmentation is a simple and model-agnostic approach for exploiting known invariances in learning problems. Given a group acting on the input space https://pulse-3k2.pages.dev/news/f7ffc1ebed5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An LLM-based Two-Stage Transformer Framework for Cross-Domain Bearing Fault Diagnosis with Limited Data arXiv:2606.24459v1 Announce Type: cross Abstract: Bearing fault diagnosis faces critical challenges when dataset heterogeneity, operating condition variations, and limited labeled data occur simultane https://pulse-3k2.pages.dev/news/3851494eaf72 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Fair Evaluation of Graph Foundation Models for Node Property Prediction arXiv:2606.24509v1 Announce Type: new Abstract: Due to the wide use of graph-structured data in different fields of industry and science, the development of Graph Foundation Models (GFMs) has recently https://pulse-3k2.pages.dev/news/24c0dec2bb3e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reasoning as Attractor Dynamics: Latent Memory Retrieval via Gibbs-Weighted Energy Minimization arXiv:2606.24543v1 Announce Type: new Abstract: Large Language Models (LLMs) are traditionally viewed as autoregressive generators. However, from the perspective of collective computation, they functi https://pulse-3k2.pages.dev/news/500fba4ded93 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification arXiv:2606.24625v1 Announce Type: new Abstract: Class imbalance poses a significant challenge in classification, where existing methods such as SMOTE often generate low-quality synthetic samples in re https://pulse-3k2.pages.dev/news/8ac0691373f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction arXiv:2606.24679v1 Announce Type: new Abstract: Data preparation pipelines improve data quality in machine learning by transforming raw tables into learning-ready data through sequential cleaning and https://pulse-3k2.pages.dev/news/56038683d388 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Grad Detect: Gradient-Based Hallucination Detection in LLMs arXiv:2606.24790v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across diverse tasks, yet they remain prone to generating hallucinations. Detecti https://pulse-3k2.pages.dev/news/d2807a87a1f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Real vs. Complex Spectral Bases for Neural Operators: The Role of Green's Function Alignment arXiv:2606.24851v1 Announce Type: new Abstract: Fourier Neural Operators (FNO) learn solution operators of partial differential equations by parameterizing global convolutions in the complex Fourier d https://pulse-3k2.pages.dev/news/448de09f0b18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EnerInfer: Energy-Aware On-Device LLM Inference arXiv:2606.23001v1 Announce Type: cross Abstract: On-device LLM inference is increasingly attractive for privacy-preserving, reliable, and cost-effective deployment, yet its energy and thermal costs r https://pulse-3k2.pages.dev/news/8e4f193bdb19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Recognition Finetuning can Prevent and Reverse Emergent Misalignment arXiv:2606.23700v1 Announce Type: new Abstract: Emergent misalignment (EM) has been linked to the activation of misaligned persona vectors and evil character traits, suggesting that EM operates throug https://pulse-3k2.pages.dev/news/9e76266c1371 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating LLM Usage for Efficient and Explainable Numerical and Classified Implicit Sentiment Analysis of Product Desirability arXiv:2606.23701v1 Announce Type: new Abstract: Qualitative product feedback can reveal nuanced user experiences, but its implicit sentiment is difficult to measure. This paper presents a scalable and https://pulse-3k2.pages.dev/news/446e02e477a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-Shot Neural Priors for Generalizable Cross-Subject and Cross-Task EEG Decoding arXiv:2606.23706v1 Announce Type: cross Abstract: The development of generalizable electroencephalography (EEG) decoding models is essential for robust brain-computer interfaces (BCI) and objective ne https://pulse-3k2.pages.dev/news/60657ee240d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Coordinate-Queryable Neural Field Reconstruction for EEG Spatial Super-Resolution with Unseen-Electrode Generation arXiv:2606.23707v1 Announce Type: cross Abstract: EEG spatial super-resolution (EEGSR) in real deployments is challenged by random channel missingness, unstable electrode quality, and changing visible https://pulse-3k2.pages.dev/news/d60c1cd41962 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png WiFi-Based People Counting Using Beam-Steerable Antennas: A Test-bed Study arXiv:2606.23710v1 Announce Type: cross Abstract: Ubiquitous perception through RF signals is a pivotal opportunity for future technology: it enables personalized services such as smart living, remote https://pulse-3k2.pages.dev/news/bb5f27d5b042 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dimensionality Reduction of QAOA Parameter Space with Kernel PCA for Max-Cut arXiv:2606.23718v1 Announce Type: cross Abstract: The Quantum Approximate Optimization Algorithm (QAOA) is a leading variational algorithm for combinatorial optimization on near term quantum devices. https://pulse-3k2.pages.dev/news/6c54016ab4ce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Hybrid Quantum-Classical Approach for Melt Pool Prediction in Laser Powder Bed Fusion arXiv:2606.23719v1 Announce Type: cross Abstract: Laser powder bed fusion (LPBF) is a promising additive manufacturing technique that suffers from quality assurance concerns. Predicting melt pools fro https://pulse-3k2.pages.dev/news/593116723cec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Computational references are not experiments: pre-registered validation of machine-learned sodium-cathode voltages arXiv:2606.23725v1 Announce Type: cross Abstract: Machine-learning screens for battery materials are trained and judged almost entirely against computed reference voltages, and those references carry https://pulse-3k2.pages.dev/news/88e7a94d50cf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation arXiv:2606.23743v1 Announce Type: cross Abstract: Modern video diffusion models achieve higher generation quality through scaling, but this also increases inference cost. Although many acceleration me https://pulse-3k2.pages.dev/news/269b373aaae9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png JEDEL: Zero-Shot DNA-Encoded Library Design for Early-Stage Drug Discovery arXiv:2606.23745v1 Announce Type: cross Abstract: We present JEDEL, a framework for generating synthesis-ready DNA-encoded libraries (DELs) directly from three-dimensional pharmacophore representation https://pulse-3k2.pages.dev/news/9ac5f91cdd8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verifiable Foundation Models for Robot Safety arXiv:2606.23754v1 Announce Type: cross Abstract: Deploying foundation models for robot control raises a central challenge: the expressive power that enables rich, multimodal perception also makes the https://pulse-3k2.pages.dev/news/8d1b2ce63cd1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine Learning and Deep Learning for Exoplanet Detection and Atmospheric Characterization with JWST and the Upcoming Ariel Mission arXiv:2606.23766v1 Announce Type: cross Abstract: The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope and the up https://pulse-3k2.pages.dev/news/464d0d438710 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hessian-augmented Supervised Learning for Hamilton-Jacobi-Bellman PDEs arXiv:2606.23827v1 Announce Type: cross Abstract: A data-driven method is developed for approximating value functions in deterministic optimal control problems with nonlinear control-affine dynamics. https://pulse-3k2.pages.dev/news/c60819553033 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do LLM Attribution Metrics Transfer? Auditing Retrieval-Augmented Generation Evaluation Across Datasets and Constructs arXiv:2606.23915v1 Announce Type: new Abstract: Practice often treats automatic metrics for attribution in LLM retrieval-augmented generation as interchangeable. We audit eight automatic scorers -- le https://pulse-3k2.pages.dev/news/94682508ab87 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Flow-Corrected Thompson Sampling for Non-Stationary Contextual Bandits arXiv:2606.23933v1 Announce Type: cross Abstract: We study non-stationary linear contextual bandits where the reward model drifts over time, rendering classical contextual bandit algorithms brittle be https://pulse-3k2.pages.dev/news/dfaf83662562 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Retrieval Metrics Mislead: Measuring Policy Signal in Long-Horizon Tool-Use Agents arXiv:2606.23937v1 Announce Type: new Abstract: Exact-match retrieval recall is often used as a proxy for whether a retriever supplies useful policy context to a downstream decision model. We test thi https://pulse-3k2.pages.dev/news/8cc95f0af5e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Variable Projection for Structured Problems arXiv:2606.23939v1 Announce Type: cross Abstract: Variable projection is a classical technique for separable nonlinear least-squares problems, in which variables that enter linearly are eliminated exa https://pulse-3k2.pages.dev/news/c3530262ecf7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prediction of Viscoelastic Droplet Impact Dynamics Using a Vision Transformer-Based Approach arXiv:2606.23940v1 Announce Type: cross Abstract: Droplet impact on solid surfaces is a complex fluid dynamics problem with applications in spray cooling, inkjet printing, and pharmaceutical processin https://pulse-3k2.pages.dev/news/edfdf18b5617 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Stochastic Expectation Maximization for Robust State-Space Radio Interferometric Imaging arXiv:2606.23944v1 Announce Type: cross Abstract: State--space models provide a flexible framework for analyzing dynamical systems, yet they often rely on Gaussian assumptions that fail to capture hea https://pulse-3k2.pages.dev/news/5cef95ecb38a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does My Embedding Reflect That $A = B$? Evaluating Mathematical Equivalence in Embedding Models arXiv:2606.23959v1 Announce Type: new Abstract: Because mathematics is highly abstract, a single statement can take very different forms depending on what subfield it is framed in. There are many exam https://pulse-3k2.pages.dev/news/ea94375e4703 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Critique of Agent Model arXiv:2606.23991v1 Announce Type: cross Abstract: What is an agent? What constitutes agency? With the rise of Large Language Model (LLM) systems marketed as ``coding agents'', ``AI co-scientists'', an https://pulse-3k2.pages.dev/news/96fd5b2f6412 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RASC+: Retrieval-Constrained LLM Adjudication for Clinical Value Set Authoring arXiv:2606.23992v1 Announce Type: new Abstract: Clinical value sets define the standardized terminology codes used in quality measurement, phenotyping, cohort construction, and clinical decision suppo https://pulse-3k2.pages.dev/news/6f427267136d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-rank Updates in Slowly Time-varying Graphs for Spatial-Temporal Signal Interpolation arXiv:2606.24011v1 Announce Type: cross Abstract: A crucial assumption in graph signal processing (GSP) is the existence of an underlying graph that captures the pairwise similarities between nodes, a https://pulse-3k2.pages.dev/news/263d06d83de7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ensemble Feature Selection and Harris Hawks Optimization for Explainable Mental Health Risk Prediction in Female Sex Workers arXiv:2606.24047v1 Announce Type: cross Abstract: One of the significant mental health issues affecting female sex workers (FSWs) is mental disorders, especially depression. Exposure to violence, stig https://pulse-3k2.pages.dev/news/8a5600ce524c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression arXiv:2606.24083v1 Announce Type: new Abstract: "Talk short. Drop grammar. Save token." This caveman style is widely promoted as a way to cut inference cost, but whether it actually saves anything dep https://pulse-3k2.pages.dev/news/7fb63fb69e32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PORTER: Language-Grounded Event Representations for Portable Structured EHR Foundation Models arXiv:2606.24102v1 Announce Type: new Abstract: Most electronic health record (EHR) foundation models encode clinical events as discrete event tokens from a fixed vocabulary and therefore cannot direc https://pulse-3k2.pages.dev/news/ec82004b67eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uniform Sampling from High-dimensional Spectral Norm Balls arXiv:2606.24134v1 Announce Type: cross Abstract: Motivated by an application in machine learning optimization, this paper focuses on the challenges of sampling a matrix uniformly from the unit spectr https://pulse-3k2.pages.dev/news/b0f260d9e57a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Autonomous Video Generation with Counterfactual Controllability for Self-Evolving World Models arXiv:2606.24152v1 Announce Type: cross Abstract: Existing literature claims that video generation essentially is world modelling. On the one hand, the claim is productive because it pushes generative https://pulse-3k2.pages.dev/news/2c0156c2a7b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BehaviorBench: Benchmarking Foundation Models for Behavioral Science Tasks arXiv:2606.24162v1 Announce Type: new Abstract: Foundation models have been increasingly applied to behavioral science domains such as psychology, sociology, and economics. While these models show pro https://pulse-3k2.pages.dev/news/157d58861f62 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A P\={a}ninian Foundation for Indic Language Processing arXiv:2606.24172v1 Announce Type: new Abstract: More than a billion people communicate in Indic languages, yet the natural language processing infrastructure serving them remains fragmented and underd https://pulse-3k2.pages.dev/news/60d4d310d759 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web arXiv:2606.24236v1 Announce Type: cross Abstract: Visual assessment of residual plots is a common approach for diagnosing linear models, but it relies on manual evaluation, which does not scale well a https://pulse-3k2.pages.dev/news/859834b58cea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MotifGen: Spatiotemporal interpolation of misaligned satellite images via multi-source generative modeling, in an application to tropical cyclones arXiv:2606.24263v1 Announce Type: cross Abstract: Microwave satellite imagery plays a crucial role in monitoring tropical cyclone precipitation and intensity worldwide, but suffers from long revisit t https://pulse-3k2.pages.dev/news/20e00bac101b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deep numerical schemes for systems of Ergodic BSDEs with applications to regime-switching forward utilities arXiv:2606.24271v1 Announce Type: cross Abstract: In this paper, we introduce two neural-network-based numerical schemes for solving systems of coupled ergodic Backward Stochastic Differential Equatio https://pulse-3k2.pages.dev/news/1bf5a3ac6bd7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PROTECT-90: A Fault Dataset for Power System Protection arXiv:2606.24298v1 Announce Type: cross Abstract: The increasing interest in data-driven methods for power system protection is accompanied by a lack of standardized, publicly available high-voltage w https://pulse-3k2.pages.dev/news/4a60c22c98ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Open-Vocabulary BEV Segmentation with 3D-Aware Geometric Constraints arXiv:2606.24353v1 Announce Type: cross Abstract: Bird's-eye view (BEV) perception fuses multi-camera images into a unified top-down representation for autonomous driving. Despite recent progress, sta https://pulse-3k2.pages.dev/news/69b55d747112 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PHANTOM: A Large-Scale Dataset of Multimodal Adversarial Attacks for Vision-Language Models arXiv:2606.24388v1 Announce Type: cross Abstract: We introduce a large-scale, open-source dataset of pre-generated adversarial attacks for vision-language models (VLMs). The dataset is designed to be https://pulse-3k2.pages.dev/news/9171122d5e1f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RE4: Transformation-aware Imitation of Object Interactions Using Manipulation Modes arXiv:2606.24403v1 Announce Type: cross Abstract: Object interaction tasks have been a focus of advances in imitation learning. End-to-end methods, dominated by diffusion and flow-based variants have https://pulse-3k2.pages.dev/news/7010faa4e051 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedPCFM: Improving Medical Point Cloud Completion by Integrating Point Transformers and Flow Matching arXiv:2606.24433v1 Announce Type: cross Abstract: Medical point cloud completion is important for anatomical reconstruction and downstream clinical workflows, yet generative modeling in this setting r https://pulse-3k2.pages.dev/news/6dcd93c453e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Agnostic Machine Learning Model of Photosynthetic Habitability arXiv:2606.24458v1 Announce Type: cross Abstract: The search for exoplanet biosignatures is guided by whether planetary environments can sustain photosynthesis. As such, the Photosynthetic Habitable Z https://pulse-3k2.pages.dev/news/9b86c64815ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CrossPool: Efficient Multi-LLM Serving for Cold MoE Models through KV-Cache and Weight Disaggregation arXiv:2606.24506v1 Announce Type: cross Abstract: Emerging LLM services increasingly host many sparse MoE models, yet most models receive sparse requests and remain cold. This creates a GPU memory pro https://pulse-3k2.pages.dev/news/25bc4320167f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EERLoss: A Novel Loss Function for Training Deep Biometric Models. A Case Study in Keystroke Dynamics arXiv:2606.24586v1 Announce Type: cross Abstract: Deep learning approaches to biometric verification are commonly trained by optimizing indirect objectives, creating a misalignment between the optimiz https://pulse-3k2.pages.dev/news/fdd56f72fe72 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toward Self-Evolution-Ready Workflow Harnesses: A Reversible Migration Path and Convertibility Taxonomy for Expert LLM Pipelines arXiv:2606.24598v1 Announce Type: cross Abstract: While expert-validated "LLM + script" workflows deliver significant value, they remain static: they encode hard-won domain knowledge yet fail to adapt https://pulse-3k2.pages.dev/news/0878e36dc0e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning arXiv:2606.24601v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) addresses the problem of training multiple agents that pursue collaborative, competitive, or mixed objective https://pulse-3k2.pages.dev/news/286ddc04ce25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL arXiv:2606.23693v1 Announce Type: new Abstract: Text-to-SQL enables users to query databases using natural language by generating executable SQL queries. Recent methods have increasingly adopted Large https://pulse-3k2.pages.dev/news/e96e40956930 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ModTGCN: Modularity-aware Graph Neural Networks for Text Classification arXiv:2606.23694v1 Announce Type: new Abstract: Graph-based text classification models typically rely on local neighborhood aggregation and overlook global community structure, despite semantic docume https://pulse-3k2.pages.dev/news/9afc82d1942e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantifying Prior Dominance in RAG Systems arXiv:2606.23695v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) grounds Large Language Models in external knowledge, yet current evaluations rely on discrete heuristics that suffe https://pulse-3k2.pages.dev/news/afc8ccfb565b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification arXiv:2606.23881v1 Announce Type: new Abstract: Knowledge-Based Visual Question Answering (KB-VQA) requires grounding visual queries to external knowledge beyond directly observable content in images. https://pulse-3k2.pages.dev/news/07e5e6865451 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png One Year Later...The Harms Persist, But So Do We! arXiv:2606.23884v1 Announce Type: new Abstract: General-purpose large language models (LLMs) are increasingly used for mental health-related conversations, yet safety safeguards remain inadequate and https://pulse-3k2.pages.dev/news/31cbd26f0296 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QuechuaTok: Morphological Boundary Accuracy as a Necessary Metric for Tokenizer Evaluation in Agglutinative Low-Resource Languages arXiv:2606.23943v1 Announce Type: new Abstract: Tokenization is a foundational step in NLP pipelines, yet standard evaluation metrics such as fertility rate fail to capture morphological correctness f https://pulse-3k2.pages.dev/news/85e9f6f12256 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Layer-wise Probing of wav2vec 2.0 and Whisper for Consonant Cluster Reduction in African American English arXiv:2606.23948v1 Announce Type: new Abstract: Self-supervised and supervised speech models are increasingly used to investigate which linguistic information their internal representations encode, an https://pulse-3k2.pages.dev/news/8234895928f0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Faithful by Construction: Claim-Anchored Attribution for Multi-Document Summarization arXiv:2606.23989v1 Announce Type: new Abstract: End-to-end large language models (LLMs) produce fluent multi-document summaries but remain prone to hallucination, and the attributions they offer are t https://pulse-3k2.pages.dev/news/6ae6e8f18f58 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Spec Learning: Inference-Time Alignment from Preference Pairs arXiv:2606.24004v1 Announce Type: new Abstract: Steering a large language model (LLM) toward a desired behavior typically relies on an iterative process of hand-crafting a prompt based on a careful in https://pulse-3k2.pages.dev/news/db388ff01be6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Version-aware Operations and Transaction Memories for Multi-layer MeMo arXiv:2606.24040v1 Announce Type: new Abstract: MeMo proposes language models with explicit multi-layer correlation matrix memories (CMMs), where memorization, retrieval, and forgetting are architectu https://pulse-3k2.pages.dev/news/39737993aa57 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Best Preprocessing Techniques for Sentiment Analysis arXiv:2606.24055v1 Announce Type: new Abstract: Sentiment analysis in Twitter datasets is important because it enables monitoring public opinion on products and analysis of political and social moveme https://pulse-3k2.pages.dev/news/0ffb9d7e13fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Selective Capability Unlearning in End-to-End Spoken Language Understanding arXiv:2606.24063v1 Announce Type: new Abstract: Modern spoken language understanding (SLU) systems are increasingly deployed in real-world settings, where specific functionalities may need to be remov https://pulse-3k2.pages.dev/news/21818a85c8ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sentence-Level Contextual Entrainment in Large Language Models arXiv:2606.24077v1 Announce Type: new Abstract: Contextual entrainment, which is a newly discovered phenomenon in large language models (LLMs), refers to the tendency of a model to assign higher proba https://pulse-3k2.pages.dev/news/61f4e9be7989 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Predicting Poets' Origins from Verse: A Computational Analysis of Regional Linguistic Fingerprints in the Complete Tang Poems arXiv:2606.24093v1 Announce Type: new Abstract: We ask whether the geographic origin of Tang-dynasty poets leaves a detectable linguistic trace in their work. Aggregating every poem attributed to each https://pulse-3k2.pages.dev/news/a7a684d8df67 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Metis: Bridging Text and Code Memory for Self-Evolving Agents arXiv:2606.24151v1 Announce Type: new Abstract: Self-evolving agents improve over time by distilling experience from past executions and reusing it in future tasks. Existing systems represent such exp https://pulse-3k2.pages.dev/news/458003f1bb3b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedBench v5: A Dynamic, Process-Oriented, and Hallucination-Aware Benchmark for Clinical Multimodal Models arXiv:2606.24155v1 Announce Type: new Abstract: Existing medical AI benchmarks lack process visibility, atomic skill evaluation, and integrated hallucination detection. We introduce MedBench v5, a red https://pulse-3k2.pages.dev/news/526ca9f9698f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Synthetic Reliability-Aware PINN Benchmark for Offshore Wind Turbine Support-Structure Monitoring with Bayesian Inverse Identification arXiv:2606.24176v1 Announce Type: new Abstract: Reliable structural health monitoring (SHM) of offshore wind turbine (OWT) support structures requires fast state estimation from sparse measurements. R https://pulse-3k2.pages.dev/news/4afba1e0f878 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Aspect-Based Sentiment Evolution and its Correlation with Review Rounds in Multi-Round Peer Reviews: A Deep Learning Approach arXiv:2606.24188v1 Announce Type: new Abstract: Mining sentiment information from the textual content of peer review comments offers valuable insights into the scientific evaluation process. However, https://pulse-3k2.pages.dev/news/c8642be2e6df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MMed-Bench-IR: A Heterogeneous Benchmark for Multilingual Medical Information Retrieval arXiv:2606.24200v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) in clinical settings increasingly requires multilingual retrieval against predominantly English evidence corpora. M https://pulse-3k2.pages.dev/news/032915e5e4ee 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection arXiv:2606.24219v1 Announce Type: new Abstract: Stochastic quantum neural networks (SQNNs) encode neuronal activations as qubits, synaptic topology as entanglement, and neural noise through a Lindblad https://pulse-3k2.pages.dev/news/1f47760a134b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced Normalization arXiv:2606.24259v1 Announce Type: new Abstract: Fine-tuned encoders deployed across heterogeneous NLP tasks face three compounding problems: mismatched inductive biases, class-imbalance corruption of https://pulse-3k2.pages.dev/news/57070c6949db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pigeonholing: Bad prompts hurt models to collapse and make mistakes arXiv:2606.24267v1 Announce Type: new Abstract: While in-context learning is generally shown to be effective in Large Language Models (LLMs), bad contexts can cause performance degradation and mode co https://pulse-3k2.pages.dev/news/e49a976677d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CALIBER: Calibrating Confidence Before and After Reasoning in Language Models arXiv:2606.24281v1 Announce Type: new Abstract: Reasoning language models are increasingly asked not only to answer difficult questions, but also to estimate their likelihood of success. Existing meth https://pulse-3k2.pages.dev/news/e1dfeaa4dbd7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression arXiv:2606.24286v1 Announce Type: new Abstract: Multimodal Large Language Models have achieved remarkable progress in short-form audio-video understanding, yet long-form audio-video comprehension rema https://pulse-3k2.pages.dev/news/3fc2b47491b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prague Dependency Treebank -- Consolidated 2.0: Enriching a Complex Annotation Scheme arXiv:2606.24324v1 Announce Type: new Abstract: The Prague Dependency Treebank framework is unique in its attempt to systematically include and link different layers of language, including a meaning r https://pulse-3k2.pages.dev/news/29917fb5df7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Transformer-Based Language Models Across Domain Verticals: Architectures, Applications and Critical Assessment arXiv:2606.24331v1 Announce Type: new Abstract: Transformer-based language models have become the default substrate for natural language processing and the pace of new releases has made it hard for pr https://pulse-3k2.pages.dev/news/52fda54af5ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Meet UD_Czech-PDTC: A Large and Genre-Rich Treebank in Universal Dependencies arXiv:2606.24337v1 Announce Type: new Abstract: Czech has been part of Universal Dependencies since its first release in 2015. It has also been one of the best represented languages, with the Prague D https://pulse-3k2.pages.dev/news/2fd5ec8f2335 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automatic Part-of-Speech Tagging of Arabic-English Dictionary Senses through WordNet arXiv:2606.24359v1 Announce Type: new Abstract: This paper proposed an algorithm for part-of-speech (POS) tagging senses of a bilingual dictionary. The algorithm is applied on the Al-Mawrid Arabic-Eng https://pulse-3k2.pages.dev/news/93b12c95479e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MorfFlex: Handling Rich Morphology arXiv:2606.24366v1 Announce Type: new Abstract: We present MorfFlex, a morphological dictionary architecture suitable for languages with extensive regularity in both inflection and derivation. As the https://pulse-3k2.pages.dev/news/668f75298afe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Stability of Prompt Ranking in Large Language Model Evaluation arXiv:2606.24381v1 Announce Type: new Abstract: Prompt-based interaction has become a dominant paradigm for using large language models (LLMs), where multiple candidate prompts are evaluated and the t https://pulse-3k2.pages.dev/news/45be31f2cda4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AutoSpecNER: A Fine-Grained Named Entity Recognition Dataset for Vehicle Specification Extraction arXiv:2606.24387v1 Announce Type: new Abstract: Vehicle advertisements contain rich specification information, but automotive NER resources remain limited. We introduce AutoSpecNER, an expert-annotate https://pulse-3k2.pages.dev/news/da2eb6015b69 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction arXiv:2606.24420v1 Announce Type: new Abstract: In high-stakes document processing pipelines, including financial reconciliation, compliance verification, and procurement automation, an LLM extraction https://pulse-3k2.pages.dev/news/07591eeb44aa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning arXiv:2606.24428v1 Announce Type: new Abstract: Experience-driven self-evolution is critical for large language model (LLM) agents to improve through open-world interaction. However, existing experien https://pulse-3k2.pages.dev/news/4e1bbfda4d8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The African Language Tax: Quantifying the Cost, Latency, and Context Penalty of Tokenizing African Languages in Frontier LLMs arXiv:2606.24460v1 Announce Type: new Abstract: Commercial large language models bill, scale latency, and budget context per token. Yet tokenizers assign more subword tokens to the same meaning in som https://pulse-3k2.pages.dev/news/df042c5157dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UOL@IDEM at BEA 2026 Shared Task 1: Neural Fusion and Feature-Rich Modeling for L1-Aware Vocabulary Difficulty Prediction arXiv:2606.24501v1 Announce Type: new Abstract: This paper describes UOL@IDEM's closed-track submission to the BEA 2026 shared task on L1-aware vocabulary difficulty prediction. We model the task as r https://pulse-3k2.pages.dev/news/0cdad6afc191 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Poster: Exploring the Limits of Audio-Based Detection of Turkish Phone Call Scams arXiv:2606.24523v1 Announce Type: new Abstract: Scam phone calls exploit vulnerable communities worldwide, yet research on detection has focused almost exclusively on English and other high-resource l https://pulse-3k2.pages.dev/news/2addb9989c41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning arXiv:2606.24526v1 Announce Type: new Abstract: Large language models are increasingly deployed as agents that reason over documents rather than answer from parametric knowledge. We study archive-grou https://pulse-3k2.pages.dev/news/05925b81d4da 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? arXiv:2606.24530v1 Announce Type: new Abstract: We introduce NatureBench, a cross-discipline benchmark of 90 tasks distilled from peer-reviewed Nature-family publications, designed to evaluate whether https://pulse-3k2.pages.dev/news/a41149c57f76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Lingual Exploration for Parametric Knowledge arXiv:2606.24579v1 Announce Type: new Abstract: Parametric knowledge in Large Language Models is not equally accessible across languages. As a result, standard inference techniques often struggle to s https://pulse-3k2.pages.dev/news/8e34721b0132 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery arXiv:2606.24595v1 Announce Type: new Abstract: Long-term memory promises LLM agents that grow more capable across sessions, maintaining an accurate, evolving understanding of the user that interactio https://pulse-3k2.pages.dev/news/51630a025903 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png To Compare, or Not to Compare: On Methodological Practices in Evaluating Social Bias arXiv:2606.24596v1 Announce Type: new Abstract: As Large Language Models are increasingly deployed in critical applications, robustly evaluating their social biases is paramount. However, the current https://pulse-3k2.pages.dev/news/2398d83e6c53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Qwen-AgentWorld: Language World Models for General Agents arXiv:2606.24597v1 Announce Type: new Abstract: A world model predicts environment dynamics based on current observations and actions, serving as a core cognitive mechanism for reasoning and planning. https://pulse-3k2.pages.dev/news/6bb4f1fbb0a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Same Lesson, Different Story: Cross-Lingual Reconstruction of Cultural Narratives in Large Language Models arXiv:2606.24610v1 Announce Type: new Abstract: The evaluation of cultural grounding context becomes complex when multiple cultures convey the same moral lesson. This challenge is particularly relevan https://pulse-3k2.pages.dev/news/97a064f78df2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity arXiv:2606.24623v1 Announce Type: new Abstract: Retrieval-Augmented Generation enhances large language models by incorporating external knowledge, but deploying it in sensitive scenarios risks privacy https://pulse-3k2.pages.dev/news/5d41d06b154a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking arXiv:2606.24627v1 Announce Type: new Abstract: Fact-checking systems built on LLMs achieve high verdict accuracy on standard benchmarks, yet routinely output Supports labels whose cited evidence does https://pulse-3k2.pages.dev/news/1690c0832b5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measuring User's Mental Models of Speech Translation in Human-AI Collaboration arXiv:2606.24644v1 Announce Type: new Abstract: Millions of people use machine translation (MT) tools daily, yet little is known about their perception of what systems can and cannot do. This paper st https://pulse-3k2.pages.dev/news/4a62e4314332 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Harmonic: Hierarchical State Space Models for Efficient Long-Context Language Modeling arXiv:2606.24650v1 Announce Type: new Abstract: We present Harmonic, a hierarchical state space model (SSM) for language modeling. The architecture stacks three recurrent levels at progressively slowe https://pulse-3k2.pages.dev/news/52654248b646 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach arXiv:2606.24655v1 Announce Type: new Abstract: The explosive growth and complexity of product data within the dynamic Brazilian e-commerce landscape demand robust and specialized methods for structur https://pulse-3k2.pages.dev/news/270ac4914e62 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DREAM: Dense Retrieval Embeddings via Autoregressive Modeling arXiv:2606.24667v1 Announce Type: new Abstract: Dense retrieval embedding models are a fundamental component of modern retrieval-based AI systems. Most dense retrievers are trained with contrastive ob https://pulse-3k2.pages.dev/news/9ab355da6f5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CN-NewsTTS Bench: a target-level automatic benchmark for raw-input Chinese news TTS pronunciation arXiv:2606.24714v1 Announce Type: new Abstract: Chinese news text contains dense written forms such as scores, hyphenated model names, ranges, unit symbols, percentages, English abbreviations, and mix https://pulse-3k2.pages.dev/news/a311a6416316 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Task Decomposition for Efficient Annotation arXiv:2606.24734v1 Announce Type: new Abstract: High-quality annotations of structured representations are expensive to collect over large corpora. Manual annotation of structure is laborious, and mod https://pulse-3k2.pages.dev/news/3a328ad9c480 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CANDLE: Character-level Arabic Noise Deduplication using Lightweight Encoder arXiv:2606.24758v1 Announce Type: new Abstract: Handling repeated characters in text can be tricky, since they can represent either the correct spelling of a word or informal character elongation ofte https://pulse-3k2.pages.dev/news/2800241a679a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Posterior Refinement: Fast Language Generation via Any-Order Flow Maps arXiv:2606.24773v1 Announce Type: new Abstract: Non-autoregressive generation offers a powerful paradigm for iterative refinement, allowing models to recursively critique, erase and regenerate arbitra https://pulse-3k2.pages.dev/news/5eecdd36964e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are We Ready For An Agent-Native Memory System? arXiv:2606.24775v1 Announce Type: new Abstract: Memory for large language model (LLM) agents has rapidly evolved from simple retrieval-augmented mechanisms into a data management system that supports https://pulse-3k2.pages.dev/news/7c259e5de41c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Paying to Know: Micro-Transaction Markets for Verified Product Information in Agentic E-Commerce arXiv:2606.24783v1 Announce Type: new Abstract: Commercial NLP treats the shopping chatbot as a recommender or a conversion tool: its job is to match a user to a catalogue entry and close a sale. We a https://pulse-3k2.pages.dev/news/2cf0423f32d2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SHERLOC: Structured Diagnostic Localization for Code Repair Agents arXiv:2606.24820v1 Announce Type: new Abstract: LLM agents solve repository-level coding tasks through multi-turn tool use, but utilize half their budget on locating faults before editing. Dedicated l https://pulse-3k2.pages.dev/news/83739263ef65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png L3Cube-MahaPOS: A Marathi Part-of-Speech Tagging Dataset and BERT Models arXiv:2606.24825v1 Announce Type: new Abstract: Part-of-Speech (POS) tagging is a foundational NLP task underpinning machine translation, information extraction, and syntactic parsing. Despite Marathi https://pulse-3k2.pages.dev/news/75f7db06d37e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Less is More: Quality-Aware Training Data Selection for Scientific Summarization arXiv:2606.24828v1 Announce Type: new Abstract: Scientific long-document summarization datasets commonly treat author-written abstracts as gold reference summaries, although their quality and alignmen https://pulse-3k2.pages.dev/news/6bcbf8a2b8fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EvidenceLens: A Claim-Evidence Matrix for Auditing Financial Question Answering arXiv:2606.23724v1 Announce Type: cross Abstract: Large language models are increasingly used to answer questions over annual reports, earnings decks, and analyst notes, yet their outputs remain diffi https://pulse-3k2.pages.dev/news/f3bb9d862266 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Task-Guided Conversational Graphs to Goal-Oriented Dialogue Runtimes arXiv:2606.23797v1 Announce Type: cross Abstract: Graph and multi-agent orchestration frameworks make production large language model (LLM) workflows practical, but they do not by themselves solve con https://pulse-3k2.pages.dev/news/5984bbdd873d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ESBMC-PLC+: A Unified IEC~61131-3 Formal Verification Framework as a PLCverif Successor arXiv:2606.23870v1 Announce Type: cross Abstract: PLCverif is the most mature open-source platform for PLC formal verification, developed at CERN and in production use since 2019. Yet it has two funda https://pulse-3k2.pages.dev/news/6c745a2fbffc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mind the Heads: Topological Representation Alignment for Multimodal LLMs arXiv:2606.23885v1 Announce Type: cross Abstract: Representation alignment has emerged as an effective approach to improve Multimodal Large Language Models (MLLMs) by regularizing their internal repre https://pulse-3k2.pages.dev/news/2d8d29aa6086 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neuro-Symbolic Drive: Rule-Grounded Faithful Reasoning for Driving VLAs arXiv:2606.23938v1 Announce Type: cross Abstract: Driving VLA models incorporating Chain-of-Thought (CoT) reasoning are attractive because they leverage pretrained VLM representations and expose inter https://pulse-3k2.pages.dev/news/2920c71a88f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning Towards Broadly and Persistently Beneficial Models arXiv:2606.24014v1 Announce Type: cross Abstract: As AI systems are deployed across increasingly diverse and high-stakes settings, model alignment must generalize beyond the tasks and domains seen dur https://pulse-3k2.pages.dev/news/de6b81a6b097 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VieSpeaker: A Large-Scale Vietnamese Speaker Recognition Dataset Beyond Visual Dependency arXiv:2606.24066v1 Announce Type: cross Abstract: Speaker recognition has advanced rapidly with large-scale training datasets, yet Vietnamese remains under-resourced, with existing corpora limited in https://pulse-3k2.pages.dev/news/f061db1d4a46 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring Academic Influence of Algorithms by Co-occurrence Network Based on Full-text of Academic Papers arXiv:2606.24099v1 Announce Type: cross Abstract: Algorithms have become central to scientific research in the era of artificial intelligence (AI). Although algorithm mentions in papers are often used https://pulse-3k2.pages.dev/news/d7d1375f2c33 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Progressive Alignment Objectives for Aligner-Encoder based ASR arXiv:2606.24147v1 Announce Type: cross Abstract: Aligner-Encoders are recently proposed seq2seq end-to-end ASR models that replace decoder attention by predicting the uth token directly from the u-th https://pulse-3k2.pages.dev/news/cc275bc60ee6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CORE-BREW: LLR-Based Soft Decoding for Robust Multi-Bit LLM Watermarking arXiv:2606.24163v1 Announce Type: cross Abstract: Reliable provenance for LLM outputs requires multi-bit watermarks that remain robust under editing while maintaining strict false-positive control. Ex https://pulse-3k2.pages.dev/news/6df4799500be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy arXiv:2606.24177v1 Announce Type: cross Abstract: Large language models are making research production scalable, shifting the bottleneck from producing artifacts to judging claims. We present \textsc{ https://pulse-3k2.pages.dev/news/1d54b60ed88e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Co-occurring associated retained concepts in Diffusion Unlearning arXiv:2606.24192v1 Announce Type: cross Abstract: Unlearning has emerged as a key technique to mitigate harmful content generation in diffusion models. However, existing methods often remove not only https://pulse-3k2.pages.dev/news/88eb2b468757 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants arXiv:2606.24194v1 Announce Type: cross Abstract: Conversational product search assistants offer a more expressive, natural, and interactive alternative to traditional keyword-based product search. Wi https://pulse-3k2.pages.dev/news/14b81c29bded 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation arXiv:2606.24346v1 Announce Type: cross Abstract: Petroleum-engineering search exposes a supervision gap for strong general retrievers: relevant evidence exists in public web text, but domain relevanc https://pulse-3k2.pages.dev/news/8092e3fa1cc7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ComputeFHE: A Privacy-Preserving General-Purpose Computation Library arXiv:2606.24379v1 Announce Type: cross Abstract: Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data while preserving data confidentiality. However, its https://pulse-3k2.pages.dev/news/d4a8a1497fce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Age of LLM: A Strategic 1v1 Benchmark for Reasoning, Diplomacy and Reliability of Large Language Models under Fog of War arXiv:2606.24391v1 Announce Type: cross Abstract: We introduce Age of LLM, a turn-based 1v1 benchmark in which two LLMs face off on a 13x7 grid to destroy the enemy base. Three stressors are deliberat https://pulse-3k2.pages.dev/news/3dc547645d19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bayesian control for coding agents arXiv:2606.24453v1 Announce Type: cross Abstract: Modern coding agents pair LLM generators with various tools, including cheap diagnostics and expensive verifiers. The tool-use decisions are typically https://pulse-3k2.pages.dev/news/319e01fa0979 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial arXiv:2606.24510v1 Announce Type: cross Abstract: Rare diseases affect millions of individuals worldwide, yet timely diagnosis remains a major public health challenge due to scarcity of specialized cl https://pulse-3k2.pages.dev/news/d6b780f8acae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AdversaBench: Automated LLM Red-Teaming with Multi-Judge Confirmation and Cross-Model Transferability arXiv:2606.24589v1 Announce Type: cross Abstract: Scaling adversarial evaluation of large language models requires both a method for generating hard inputs and a reliable way to confirm that resulting https://pulse-3k2.pages.dev/news/186cba360821 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ParaPairAudioBench: Paralinguistic Pairwise Audio Benchmark for LALM-as-a-Judge arXiv:2606.24648v1 Announce Type: cross Abstract: Large Audio-Language Models (LALMs) have been widely used as judge models for the automatic evaluation of generated speech. However, prior approaches https://pulse-3k2.pages.dev/news/883598ae7137 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Matching Tasks to Objectives: Fine-Tuning and Prompt-Tuning Strategies for Encoder-Decoder Pre-trained Language Models arXiv:2606.24841v1 Announce Type: cross Abstract: Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impact of diverse pre-training object https://pulse-3k2.pages.dev/news/7430ea24b8c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Few shot chain-of-thought driven reasoning to prompt LLMs for open ended medical question answering arXiv:2403.04890v4 Announce Type: replace Abstract: In this paper, we propose a modified version of the MedQA-USMLE dataset, named MEDQA-OPEN, which contains open-ended medical questions without optio https://pulse-3k2.pages.dev/news/37fe5e07e480 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark arXiv:2409.11363v2 Announce Type: replace Abstract: AI agents have the potential to aid users on a variety of consequential tasks, including conducting scientific research. To spur the development of https://pulse-3k2.pages.dev/news/0309ede5accd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions arXiv:2501.11790v5 Announce Type: replace Abstract: Recent studies have raised significant concerns regarding the reliability of current mathematics benchmarks, highlighting issues such as simplistic https://pulse-3k2.pages.dev/news/adf3a3b86c65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ensemble Learning for Large Language Models in Text and Code Generation: A Survey arXiv:2503.13505v3 Announce Type: replace Abstract: Generative Pretrained Transformers (GPTs) are foundational Large Language Models (LLMs) for text generation. However, individual LLMs often produce https://pulse-3k2.pages.dev/news/f0056fe5cf16 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs arXiv:2504.17768v3 Announce Type: replace Abstract: Sparse attention offers a promising strategy to extend long-context capabilities in Transformer LLMs, yet its efficiency-accuracy trade-offs remain https://pulse-3k2.pages.dev/news/24096bf10eb6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs arXiv:2505.18542v4 Announce Type: replace Abstract: Extracting structured procedural knowledge from unstructured business documents is a critical yet unresolved bottleneck in process automation. While https://pulse-3k2.pages.dev/news/e0ef66b82bf2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24428/gradient.png Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning Abstract EDV is a three-stage framework that uses multiple heterogeneous agents to collaboratively construct reliable experiences for LLM agents, preventing self-confirmatory errors through execute-di https://pulse-3k2.pages.dev/news/68151b51aec5 2026-07-02 monthly 0.7 https://external-preview.redd.it/b9euBlAVfX8kh9rYPizvP_qF5-GjuMomhwF5XRmpXeY.jpeg?width=640&crop=smart&auto=webp&s=982795855a01476bd64dd83124395ba9cf5f531e Seems this community might have missed it: Bill that would mandate AI chip location tracking gains industry support | Half a dozen companies have come out in support of the Chip Security Act, which would require location-tracking mechanisms for America’s most advanced computing… Web / reddit search have not found this posted in this sub, even though it is several days old news. So I do post. Related links: https://www.reddit.com/r/politics/comments/1uahgcs/bill_that_would_man https://pulse-3k2.pages.dev/news/3d6404777dc0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24231/gradient.png FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning Abstract FlowR2A addresses the tension in multimodal driving planning by combining dense reward supervision with dynamic proposal generation through a flow-matching decoder that learns reward-conditio https://pulse-3k2.pages.dev/news/ed9e3d732890 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12345/gradient.png An Efficient Method for the Optimal Control of Microgrids Under Uncertainties using Local Reduction Abstract Two mathematical formulations for robust microgrid sizing and power scheduling are proposed and compared, with one using binary variables and big-M constraints and the other using continuous https://pulse-3k2.pages.dev/news/218c65367aa2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24597/gradient.png Qwen-AgentWorld: Language World Models for General Agents Abstract Language-based world models enable agentic environment simulation across multiple domains and enhance general agent performance through scalable simulation and improved downstream task perfor https://pulse-3k2.pages.dev/news/6fd818b1c856 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/330eb9f1910b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24530/gradient.png NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers? Abstract NatureBench presents a cross-disciplinary benchmark of 90 scientific tasks derived from Nature publications to assess AI coding agents' ability to achieve discovery rather than just reproduct https://pulse-3k2.pages.dev/news/636e2ae9f79e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24667/gradient.png DREAM: Dense Retrieval Embeddings via Autoregressive Modeling Abstract DREAM trains dense retrieval embeddings using autoregressive language model attention mechanisms to supervise document-query similarity without requiring labeled examples. Generated by Qwen/Q https://pulse-3k2.pages.dev/news/a2325fd2ee2d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22875/gradient.png FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs Abstract FedOT is a novel framework that enables ownership verification and leakage tracing in federated latent diffusion models by introducing chunked watermarking and latent vector transformation to https://pulse-3k2.pages.dev/news/d9327c18d4f1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24112/gradient.png ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection Abstract A comprehensive multimodal misinformation detection framework is introduced that handles complex, multilingual content with multiple images and diverse verification approaches, achieving supe https://pulse-3k2.pages.dev/news/0454c13c7dc0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24133/gradient.png Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning Abstract A novel online data mixing framework called Holistic Data Scheduler uses reinforcement learning with a multi-objective reward function to optimize large language model pre-training efficiency https://pulse-3k2.pages.dev/news/1e28af8cfdb5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.24548/gradient.png Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning Abstract Text-to-image models fail to generate counterfactual scenes because they rely on tightly coupled visual-textual patterns rather than causal reasoning, demonstrating limited understanding beyo https://pulse-3k2.pages.dev/news/932cabd8c380 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19926/gradient.png MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management Abstract MemGUI-Agent addresses long-horizon mobile GUI task limitations through proactive context management using Context-as-Action (ConAct) to maintain critical information across extended sequence https://pulse-3k2.pages.dev/news/d7405498ad41 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19930/gradient.png MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization Abstract MobileForge enables efficient adaptation of mobile GUI agents through annotation-free learning by combining real app interaction grounding with hierarchical feedback-guided policy optimizatio https://pulse-3k2.pages.dev/news/25637dc583d3 2026-07-02 monthly 0.7 https://preview.redd.it/lacvagyr159h1.png?width=140&height=89&auto=webp&s=14f97a97511fbfe2fd767e4dc986ce0b4da5c73e DeepSWE: new benchmark looking at how well today's frontier models can actually write code [R] DeepSWE delivers four advances over existing public benchmarks: Contamination free: Tasks are written from scratch, not adapted from existing commits or PRs, so no model has seen the solution during p https://pulse-3k2.pages.dev/news/03dbf942460b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23670/gradient.png Tapered Language Models Abstract Tapered language models allocate more parameters to earlier layers and fewer to later layers, improving performance without increasing total parameters or compute costs. Generated by Qwen/Qwe https://pulse-3k2.pages.dev/news/acdd6807e509 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23543/gradient.png VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct Abstract A novel framework called VeriEvol is introduced that addresses the challenge of scaling reinforcement learning for visual mathematical reasoning by ensuring reliable reward labels through a t https://pulse-3k2.pages.dev/news/9fab566363ce 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18831/gradient.png Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning Abstract Data-centric approach using curated datasets and minimal GRPO setup significantly improves long-context reasoning in large language models, outperforming prior reinforcement learning methods. https://pulse-3k2.pages.dev/news/71c2a6e641ec 2026-07-02 monthly 0.7 https://media.wired.com/photos/6a39a2a46c59c72c499e05ba/191:100/w_1280,c_limit/2281617231 Meta Pauses Employee-Tracking Program Following Internal Data Leak Article URL: https://www.wired.com/story/meta-pauses-employee-tracking-program-following-internal-security-breach/ Comments URL: https://news.ycombinator.com/item?id=48653575 Points: 214 # Comments: 1 https://pulse-3k2.pages.dev/news/bb6dca4045d6 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/ffasr-leaderboard/thumbnail.png Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World Back to Articles a]:hidden"> Introducing the FFASR Leaderboard: Benchmarking ASR in the Real World Published June 24, 2026 Update on GitHub Upvote 2 Daniel Gert Nielsen daniel-treble treble-technologi https://pulse-3k2.pages.dev/news/e32c7a3ede2a 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6QymsXvDxNNEPNYz13mvEB/d9e0aae5c1ebd78451ffc8bd7eacfe9c/image__60_.png GLM 5.2 Fast via Wafer now available on AI Gateway GLM 5.2 Fast via Wafer is now available on AI Gateway . Based on our own benchmarking across small-context, large-context, and tool-call scenarios, Wafer delivers a 2x higher throughput than other pro https://pulse-3k2.pages.dev/news/4b45d1852771 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d01eba4a3028 2026-07-02 monthly 0.7 https://lilianweng.github.io/posts/2026-06-24-scaling-laws/hestness-1.png Scaling Laws, Carefully Scaling laws are one of the most critical empirical findings in deep learning. The observation is simple in form: the training loss $L$ decreases predictably as we scale up model size $N$, dataset siz https://pulse-3k2.pages.dev/news/31d0a00892d3 2026-07-02 monthly 0.7 https://assets.buttondown.email/images/1ec4ddf5-598f-4d72-8d55-10dc1328aa76.jpeg?w=960&fit=max Vulnerability reports are not special anymore Article URL: https://words.filippo.io/vuln-reports/ Comments URL: https://news.ycombinator.com/item?id=48653216 Points: 208 # Comments: 114 https://pulse-3k2.pages.dev/news/ccbe4d356160 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/03/ai-bots-agents-GettyImages-2230799616.jpg?resize=1200,800 India’s MoEngage bets that the future of marketing is millions of AI agents The all-cash deal gives MoEngage access to technology that assigns AI agents to individual customers. https://pulse-3k2.pages.dev/news/0f5aff509cff 2026-07-02 monthly 0.7 https://www.lse.ac.uk/granthaminstitute/wp-content/uploads/2025/07/London_heat.jpg Extreme Heat conference cancelled due to extreme heat warning Article URL: https://www.lse.ac.uk/granthaminstitute/events/extreme-heat-improving-governance-and-strengthening-action-around-the-world/ Comments URL: https://news.ycombinator.com/item?id=48653060 Poi https://pulse-3k2.pages.dev/news/3889c97d56e9 2026-07-02 monthly 0.7 https://preview.redd.it/qdeb2svqt39h1.png?width=640&crop=smart&auto=webp&s=92992957b2519d8cf10ec78342b8aa0eff085ad1 Mimo 2.5 is _fast_ at large context (dual RTX Pro 6000) For agentic work fast high context is king, OpenCode fills the window quickly and most models that feel snappy at 8k context turn into dial-up ADSL brrr by the time you're at 150k context deep. So I'v https://pulse-3k2.pages.dev/news/808125032ed1 2026-07-02 monthly 0.7 https://the3dprintingnerd.com/ab2047-share.png California AB 2047 makes 3D printers off-limits to students, educators, business Article URL: https://www.the3dprintingnerd.com/ab2047 Comments URL: https://news.ycombinator.com/item?id=48652184 Points: 216 # Comments: 143 https://pulse-3k2.pages.dev/news/d51209cb5acd 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/create-alter-demo-first-frame.jpg datasette 1.0a35 Release: datasette 1.0a35 I'll write more about this one tomorrow, but it's a big release. Three highlights from the release notes: New "Create table" interface in the database actions menu, backed by https://pulse-3k2.pages.dev/news/f842e9680bcc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23496/gradient.png TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization Abstract A unified open-source framework for discrete text-trigger optimization that standardizes the development and execution of optimization strategies across various domains and applications. Gene https://pulse-3k2.pages.dev/news/e7596882fc9f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23688/gradient.png Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild Abstract Lift4D presents a test-time optimization framework that combines temporal consistency from single-view 3D reconstruction with deformable 3D Gaussian Splatting and view-conditioned diffusion p https://pulse-3k2.pages.dev/news/a5bcb4f7a51d 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-shass-david-autor.jpg?itok=jXWwbdpF Exploring the societal impacts of AI During the AI and Society Forum, leading MIT researchers examined critical questions about AI’s influence on employment and democracy. https://pulse-3k2.pages.dev/news/2bc554dab5f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a0e64cad4e14 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/96425d88b8e1 2026-07-02 monthly 0.7 https://preview.redd.it/12oi8kylc39h1.jpeg?width=640&crop=smart&auto=webp&s=9a5a7ce9007bb90e652fe1c7e1bf8099d7c82b62 MiniMax2.7 @47tg 1200pp MiniMax 2.7 REAP Q4 on 96GB VRAM and 192 GB DDR5 udimm ram on a b840 MSI board and 9900X cpu. 1250W PSU and all cards are power limited. Linux Ubuntu. Agent class model. Excellent instruction followin https://pulse-3k2.pages.dev/news/71f308253a32 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2212917669-1152x648.jpg Oracle’s 21,000 layoffs help drive its debt-fueled AI investments Oracle is spending billions on data center infrastructure to support AI. https://pulse-3k2.pages.dev/news/c7a7898967d4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0cd7892793a2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19603/gradient.png Comparing Linear Probes with Mahalanobis Cosine Similarity Abstract The Mahalanobis cosine similarity provides a theoretically grounded method for comparing linear probes that correlates strongly with out-of-distribution performance metrics. Generated by Qwen https://pulse-3k2.pages.dev/news/79650d61ce60 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/26d4c32c1f6a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/97898bf3ed73 2026-07-02 monthly 0.7 https://preview.redd.it/z7q7df2aw29h1.png?width=640&crop=smart&auto=webp&s=cd790d8d81e0d1f2268182c79f1eeef13b4b5b84 OpenMythos benchmarks Hey everyone! OpenMythos benchmarks are finally here sorry it took about a week to post these. The delay was mainly because SWE-bench results weren't matching up with Qwen 3.6 27B official numbers. Tu https://pulse-3k2.pages.dev/news/c89ab99c82d8 2026-07-02 monthly 0.7 https://images.squarespace-cdn.com/content/v1/551565dce4b057e153ef5fd7/1449864504674-YK78OW5V8Z0MRJT3WSC6/image-asset.jpeg Jerry's Map https://www.openculture.com/2026/06/this-man-has-been-drawin... Comments URL: https://news.ycombinator.com/item?id=48649435 Points: 226 # Comments: 26 https://pulse-3k2.pages.dev/news/4787292e1842 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23152/gradient.png ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments Abstract A bi-modal construction domain dataset combining stereo RGB and LiDAR data under challenging environmental conditions is introduced for autonomous system perception research. Generated by Qwe https://pulse-3k2.pages.dev/news/f6eee78d5ffc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d2ce1f3c01ac 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23525/gradient.png Self-Compacting Language Model Agents Abstract SelfCompact is a scaffolding approach that enables models to autonomously determine optimal compaction timing and methods for managing long agent traces, achieving better performance with red https://pulse-3k2.pages.dev/news/23786aea6946 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/92b2f61b5f90 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/321bd040e999 2026-07-02 monthly 0.7 https://external-preview.redd.it/dGF5eTA5bGpsMjloMW8p4IjzsvYSLimuR2NyWsJlHCTftagC3DzpuGUjsF_o.png?width=640&crop=smart&auto=webp&s=44d509570a84e39e25770004182d87e6344c2a32 650+ Apache-2.0 biomedical NER/de-id models that run on-device in MLX. Same fp32 weights, identical outputs: the clinical NER models run 30-40x faster than PyTorch-CPU on a 3-year-old M3 Max. Repro inside. Disclosure first: I maintain OpenMed, so read this with that bias. I'm posting the numbers with the full methodology and a runnable script so you can reproduce or tear it apart. I'm here for the next https://pulse-3k2.pages.dev/news/cf9328abd1f0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f959a5e95373 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a3c57db78d5a 2026-07-02 monthly 0.7 https://preview.redd.it/6tho5p6sl29h1.png?width=640&crop=smart&auto=webp&s=bb83a92b99545ef865ef59b33324f298053403ae Not ironclad confirmation, but.. Over here: https://huggingface.co/papers/2606.21906 Kudos to xyzblaz for asking.   submitted by   /u/Kodix [link]   [comments] https://pulse-3k2.pages.dev/news/a5bca93eec61 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0eb275e5cf6d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3b8bea888695 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22936/gradient.png When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents Abstract Pre premature commitment in long-horizon LLM agents leads to silent failures where agents defend early interpretations without considering alternatives, and hidden-state convergence serves as https://pulse-3k2.pages.dev/news/ed214bac47b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8225b678c52a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c14543b47331 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20891/gradient.png Go-with-the-Track: Video Compositing and Motion Control with Point Tracking Abstract Go-with-the-Track unifies motion control and reference image compositing in video generation by using point-track embeddings with spatial-aware encoding and video diffusion transformers. Gene https://pulse-3k2.pages.dev/news/c4b83b4a74b9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Claude-Tag.png?resize=1200,687 Anthropic’s Claude Tag is learning your company, one Slack message at a time Anthropic’s new Claude Tag brings an always-on AI teammate to Slack. But beyond productivity, the feature is a strategic play to capture organizational context, institutional knowledge, and enterprise https://pulse-3k2.pages.dev/news/072c0c397337 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/2qNRrOyIX7qjpdePUIObdS/9307a1d928c8b0167cd85e22b39c5132/derya_16x9.png?w=1600&h=900&fit=fill How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery GPT-5 Pro helped solve a 3-year-old immunology mystery, offering insights into T cell behavior. The breakthrough could support cancer and autoimmune research. https://pulse-3k2.pages.dev/news/6a2c7b0368e0 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/7436297818458f1c4da4b61e8c1a67a0ad3f58ac59ab021ddae1dad267929646/future-file-format/F3 F3 Article URL: https://github.com/future-file-format/f3 Comments URL: https://news.ycombinator.com/item?id=48647799 Points: 385 # Comments: 102 https://pulse-3k2.pages.dev/news/4a86251363cb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5751b42c6991 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/807527f19d09 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eca7be2f82af 2026-07-02 monthly 0.7 https://dynomight.net/img/vitamin-d/ap74.37.jpg The worthlessness of Vitamin D is mildly exaggerated Article URL: https://dynomight.net/vitamin-d/ Comments URL: https://news.ycombinator.com/item?id=48647486 Points: 220 # Comments: 156 https://pulse-3k2.pages.dev/news/f74add316bf0 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/ai-factory.webp Maximize AI Factory Energy Efficiency Through Full-Stack Inference and Training Optimizations Power can account for 40% of the operating expenses (OpEx) to run an AI factory. Each watt can be spent on overhead, data ingestion, training, or generating... https://pulse-3k2.pages.dev/news/73955376188b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22708/gradient.png Libretto: Giving LLM Agents a Sense of Musical Structure Abstract Libretto provides a structured framework for symbolic music generation and revision using LLM-native grammar and statistical evaluation across musical dimensions. Generated by Qwen/Qwen2.5-Co https://pulse-3k2.pages.dev/news/579983278483 2026-07-02 monthly 0.7 https://preview.redd.it/hl9f6k82529h1.png?width=140&height=140&crop=1:1,smart&auto=webp&s=b6101debb1ec7253296272b076f36b69ec080c27 I benchmarked 8 LLMs for medical scribing. Hallucinations were rare; omissions need attention. I ran a small benchmark on LLMs for medical scribing. Reason: most discussion around AI scribe safety focuses on hallucinations. That matters, but in notes I kept seeing another problem: models often https://pulse-3k2.pages.dev/news/54624400bf51 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/31da026976d6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3f7dd51280a 2026-07-02 monthly 0.7 https://preview.redd.it/8e85oakbz19h1.png?width=140&height=56&auto=webp&s=b6ef2dec4c82328cdeb96f9cf4dc7ed55038fd2d 7 Chinese companies are already shipping H100/H200-class AI chips, most IPO'd in the last 6 months. I mapped all of them. https://preview.redd.it/8e85oakbz19h1.png?width=3000&format=png&auto=webp&s=258039cb277daa2572d1ba4eec8cc488357c62d0 I run Chinese open models on a 4×3090 rig every day. The more I watched these model https://pulse-3k2.pages.dev/news/8bc76a9bbf3c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9cf8e3a077f8 2026-07-02 monthly 0.7 https://s.krea.ai/blog-posts/krea-2-technical-report/agent/1782227962641-krea2-hero-new.jpg Krea 2: SOTA open-weights 12B image model Article URL: https://www.krea.ai/blog/krea-2-technical-report Comments URL: https://news.ycombinator.com/item?id=48646659 Points: 247 # Comments: 33 https://pulse-3k2.pages.dev/news/f01cef1ba7af 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21884/gradient.png A Verifiable Search Is Not a Learnable Chain-of-Thought Abstract Training models on chain-of-thought demonstrations fails for tasks requiring backtracking search because the forward derivation cannot be faithfully imitated, demonstrating a fundamental limi https://pulse-3k2.pages.dev/news/8b2b01b36af0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23610/gradient.png Vera: A Layered Diffusion Model for Content-Preserving Video Editing Abstract Vera is a layered diffusion framework that preserves video content during editing by generating edit layers and alpha mattes through a Mixture-of-Transformers architecture. Generated by Qwen/ https://pulse-3k2.pages.dev/news/ba1f69105f45 2026-07-02 monthly 0.7 https://external-preview.redd.it/kVjzl5ZzpVRwvSkRMr-PExKf0B33iuxM7RL-5Wj7wMw.png?width=640&crop=smart&auto=webp&s=d69a8abf1755db33daf00d42dd1ae3764705e4be Krea 2 released on Hugging Face + turbo: https://huggingface.co/krea/Krea-2-Turbo   submitted by   /u/paf1138 [link]   [comments] https://pulse-3k2.pages.dev/news/7da4f94c64b6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20980/gradient.png Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City Abstract Research examines how self-driving car systems and humans perform on visual question answering tasks across different geographic locations, revealing that both human and AI responses diverge https://pulse-3k2.pages.dev/news/43b0331a51a1 2026-07-02 monthly 0.7 https://preview.redd.it/e0qmwmffs19h1.png?width=140&height=83&auto=webp&s=edf5288e98af95b102dcf9363ad361992bfa2dc2 I mapped the KLD of KV cache quantization for Qwen3.6-35B-A3B and Gemma4-E2B QAT TL;DR version q8/q8 is nearly free on both models q4/q4 is useable on Qwen and catastrophic on Gemma turbo4 is sometimes slightly better, sometimes slightly worse, than q4_0 turbo3 and turbo2 allow co https://pulse-3k2.pages.dev/news/fee4d4ed686c 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/cuda-python.webp Boost Inference Performance up to 15x on NVIDIA Blackwell Using DFlash Speculative Decoding As AI systems move from single-turn interactions to coordinated multiagent workflows, low-latency inference becomes increasingly important. Autoregressive LLMs... https://pulse-3k2.pages.dev/news/899120568f45 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21171/gradient.png An Exploratory Case Study of LLM-Assisted Refactoring and Gameplay Feature Generation in an Endless Runner Game Abstract Large language models demonstrate varying effectiveness in software development tasks, successfully completing localized refactoring but showing limitations in integrating new gameplay featur https://pulse-3k2.pages.dev/news/9dea8ff5620d 2026-07-02 monthly 0.7 https://external-preview.redd.it/otatLedMYkn2U0gyOiLWHhD0bBH0tDg6xQ-7MlaT4Wk.png?width=640&crop=smart&auto=webp&s=dad48138a7fbf87ad2f81df4428e03483cb78518 Baidu: One-shot Long-horizon Parsing   submitted by   /u/zxyzyxz [link]   [comments] https://pulse-3k2.pages.dev/news/46e8746e8b43 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/564514097acb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2505.23878/gradient.png AC-ODM: Actor--Critic Online Data Mixing for Sample-Efficient LLM Pretraining Abstract AC-ODM optimizes pretraining data composition for LLMs using reinforcement learning to improve convergence speed and downstream accuracy while maintaining computational efficiency. Generated https://pulse-3k2.pages.dev/news/5634f145334c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20886/gradient.png Toward Parking Spot Occupancy Recognition: A Self-Supervised Approach Abstract A self-supervised transfer learning approach for parking spot occupancy recognition that achieves high accuracy with minimal labeled data through two-stage training and deployment strategies. https://pulse-3k2.pages.dev/news/9423a4164b1f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23189/gradient.png Capable but Careless: Do Computer-Use Agents Follow Contextual Integrity? Abstract Computer-use agents frequently expose inappropriate information across applications, prompting the creation of AgentCIBench to evaluate and mitigate privacy risks in cross-application context https://pulse-3k2.pages.dev/news/596d03755159 2026-07-02 monthly 0.7 https://i0.wp.com/craphound.com/images/23Jun2026.jpg?w=840&ssl=1 Spying on kids to save kids from spying is stupid Article URL: https://pluralistic.net/2026/06/23/destroy-the-village/ Comments URL: https://news.ycombinator.com/item?id=48645173 Points: 215 # Comments: 140 https://pulse-3k2.pages.dev/news/5da62f2b8762 2026-07-02 monthly 0.7 https://mistral.ai/cms-media/api/media/file/OCR-OG.png Mistral OCR 4 Article URL: https://mistral.ai/news/ocr-4/ Comments URL: https://news.ycombinator.com/item?id=48645152 Points: 281 # Comments: 71 https://pulse-3k2.pages.dev/news/6d1b6a1ecab0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/01/TC-All-Stage-2025-Breakout-QA.jpg?resize=1200,800 4 days left to save up to $190 on TechCrunch Founder Summit 2026 Four days left to save up to $190 on your pass to TechCrunch Founder Summit 2026 - the ultimate founder bootcamp - before Early Bird rates end on June 26 at 11:59 p.m. PT. Register here. https://pulse-3k2.pages.dev/news/5fce1809f448 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16246/gradient.png Demystifying Training-Time Augmentation for Data-Constrained Language Model Pretraining Abstract Training-time data augmentation techniques help mitigate overfitting in autoregressive language model pretraining by delaying performance deterioration and improving final model quality when https://pulse-3k2.pages.dev/news/eda7c57ad7e4 2026-07-02 monthly 0.7 https://storage.ghost.io/c/0f/76/0f76b548-bc58-4f25-abc3-3f5ebca07da4/content/images/size/w1200/2026/06/msg-activists-facial-rec.png MSG Made Dossier on Activists Who Opposed Facial Recognition Article URL: https://www.404media.co/madison-square-garden-made-dossier-on-activists-who-opposed-facial-recognition/ Comments URL: https://news.ycombinator.com/item?id=48644781 Points: 210 # Comments: https://pulse-3k2.pages.dev/news/09169a752aea 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/hc-bonemo-agent-toolkit-1920x1080-1.webp Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit AI scientists are emerging as a new interface for scientific computing. These agents can read papers, write code, generate hypotheses, call APIs, inspect files,... https://pulse-3k2.pages.dev/news/ed7c2c688214 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ebcfcbdc322 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21638/gradient.png Toward Open Weight Models Without Risks: Separating Public and Private Capabilities in LLMs Abstract Tiered Language Models (TLMs) provide a framework for releasing large language models with configurable capability levels through secret keys that modify computation graphs while maintaining https://pulse-3k2.pages.dev/news/be82bbdce5a5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bbcba71ce335 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Torleif_Svensson-FikaJobsAI.jpeg?w=1200 Fika Jobs raises $4M to build a video-first hiring platform where AI agents interview candidates Stockholm-based startup Fika Jobs is building a video-first hiring platform that combines AI interview agents with short-form video profiles, creating something that feels like a cross between LinkedI https://pulse-3k2.pages.dev/news/aec47bf76556 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/5QquFbmHjfSUovww9EUMcm/07e61e7f25fa04044767e9a0c11237e1/helping-build-shared-standards-for-advanced-ai-16_9.png?w=1600&h=900&fit=fill Helping build shared standards for advanced AI OpenAI helps build shared standards for advanced AI, supporting evaluation frameworks, safety practices, and global cooperation through the Appia Foundation. https://pulse-3k2.pages.dev/news/0b690c5df303 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/649d9ad1500fd8d51a675a93/eZoT1b8vHDMEgMVbf2J0f.png Build real agentic apps using CUGA: two dozen working examples on a lightweight harness Back to Articles a]:hidden"> Build real agentic apps using CUGA: two dozen working examples on a lightweight harness Enterprise Article Published June 23, 2026 Upvote - Anupama Murthi anupamamurthi ib https://pulse-3k2.pages.dev/news/5dbcdf80e32e 2026-07-02 monthly 0.7 https://preview.redd.it/4rg2ilrn219h1.png?width=640&crop=smart&auto=webp&s=4572d1e454ed575703eb90240d9c9f925bb2428c CPU-only TTS benchmark: Kokoro 82M vs Supertonic 3 vs Inflect-Nano-v1 (4.6M params), with UTMOS scoring on every sample Ran three open-weight TTS models head to head on CPU. Intel Xeon, 4 cores, 15.6GB RAM, no GPU. Five configs, six text lengths from 12 to 1712 chars, 5 timed reps per cell after warmup, 150 timed runs https://pulse-3k2.pages.dev/news/d13723c7b2c8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fc2a64004cc4 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!KFL1!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fefdf118d-dea8-4195-9150-2f16ee18b799_1935x692.png Monthly Roundup #43: June 2026 Your monthly hit of all the things that are fit to print without a better place to live. https://pulse-3k2.pages.dev/news/2ddc25b7c972 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3c45c62dfc5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23514/gradient.png Arbor: Explicit Geometric Conditioning for Controllable 3D Asset Generation Abstract Arbor enables explicit 3D spatial control in text-conditioned latent generation through constraint meshes that define occupancy, avoidance, and contact regions, maintaining object quality whi https://pulse-3k2.pages.dev/news/eab6637d4028 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2025/10/cory3-1152x648-1782115421.jpg How to burst the AI bubble: Strike at its roots Sci-fi author/tech journalist Cory Doctorow on his new book, The Reverse Centaur's Guide to Life After AI . https://pulse-3k2.pages.dev/news/db81ff195cd5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/11b86268bb2d 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/018de3cddf3555433fcd707c4c7cb01852ff045892e84b9fa61b318f2c34ee59/baidu/Unlimited-OCR Unlimited OCR: One-Shot Long-Horizon Parsing Article URL: https://github.com/baidu/Unlimited-OCR Comments URL: https://news.ycombinator.com/item?id=48643426 Points: 266 # Comments: 74 https://pulse-3k2.pages.dev/news/0aa1fc054258 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20945/gradient.png Grouped Query Experts: Mixture-of-Experts on GQA Self-Attention Abstract Grouped Query Experts (GQE) improves Transformer efficiency by selectively activating query heads based on token content while maintaining key-value cache benefits of grouped-query attention. https://pulse-3k2.pages.dev/news/f37207228414 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23049/gradient.png Training Open Models for Agentic Phone Use Abstract PhoneBuddy combines real and mock app environments to improve training of open models for phone use, demonstrating enhanced task success rates through mixed reinforcement learning approaches. https://pulse-3k2.pages.dev/news/2eece697b1d0 2026-07-02 monthly 0.7 https://lucumr.pocoo.org/social/2026-06-23-the-coming-loop-social.png The Coming Loop Article URL: https://lucumr.pocoo.org/2026/6/23/the-coming-loop/ Comments URL: https://news.ycombinator.com/item?id=48643180 Points: 200 # Comments: 158 https://pulse-3k2.pages.dev/news/6d0a5e4032d1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c0cfc74a0ebe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/807cf41cc98b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/390bf91422bf 2026-07-02 monthly 0.7 https://preview.redd.it/z1liswa1d09h1.png?width=140&height=65&auto=webp&s=2ea5203844fc948067ce30257bf2fac42184e590 V100 4-card AI large model, Tesla 128G server using google translate edit that will cost for USD 3687.76 V100 128G Liquid-Cooled Graphics Card Dock, 360° Liquid Cooling for the Entire System.   submitted by   /u/MundanePercentage674 [link https://pulse-3k2.pages.dev/news/f8ded5a70331 2026-07-02 monthly 0.7 https://www.stephendiehl.com/images/sd-social-preview.png Crypto in 2026: Oh, This Is the Bad Place Article URL: https://www.stephendiehl.com/posts/bad_place_2026/ Comments URL: https://news.ycombinator.com/item?id=48642699 Points: 277 # Comments: 318 https://pulse-3k2.pages.dev/news/c6f86c637980 2026-07-02 monthly 0.7 https://s0.wp.com/_si/?t=eyJpbWciOiJodHRwczpcL1wvaTAud3AuY29tXC9zdHJhdGVjaGVyeS5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMThcLzAzXC9jcm9wcGVkLWFuZHJvaWQtY2hyb21lLTUxMng1MTItMS5wbmc_Zml0PTUxMiUyQzUxMiZzc2w9MSIsInR4dCI6IlN0cmF0ZWNoZXJ5IGJ5IEJlbiBUaG9tcHNvbiIsInRlbXBsYXRlIjoiZWRnZSIsImZvbnQiOiIiLCJibG9nX2lkIjoxODgwNDM0MTV9.5VWck4PcKPWCTPe_HVznn3n3xsgn-G0b3d2OeiNNC7cMQ Memory Chips and China, Microsoft and Chinese Models The big three memory makers may come to regret opening up the door to Chinese memory makers; Microsoft, meanwhile, is very incentivized to use Chinese models. https://pulse-3k2.pages.dev/news/3ee0bc96da80 2026-07-02 monthly 0.7 https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2026/06/22/AdobeStock_44802230-1260x630.jpeg MicroVMs: Run isolated sandboxes with full lifecycle control Article URL: https://aws.amazon.com/blogs/aws/run-isolated-sandboxes-with-full-lifecycle-control-aws-lambda-introduces-microvms/ Comments URL: https://news.ycombinator.com/item?id=48642510 Points: 209 https://pulse-3k2.pages.dev/news/bce40330ad55 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5caa953a58e5 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/67cc0dff6692e29296cc42f7b9c40e6649ed936d895f1b601cf1e3b13f9d5117/plbrault/youre-the-os A game where you're an OS and have to manage processes, memory and I/O events Article URL: https://github.com/plbrault/youre-the-os Comments URL: https://news.ycombinator.com/item?id=48642474 Points: 206 # Comments: 37 https://pulse-3k2.pages.dev/news/64897f3271f6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21627/gradient.png Counsel: A Meta-Evaluation Dataset for Agentic Tasks Abstract A large-scale dataset of human-metaevaluations of LLM critiques for agentic tasks is introduced to improve the calibration and reliability of automated evaluation methods. Generated by Qwen/Q https://pulse-3k2.pages.dev/news/2347e086b54d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/067eff4cf8ca 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11897/gradient.png Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills Abstract Notes2Skills framework converts laboratory notes into verifiable skills for AI agents while maintaining author uncertainty levels, addressing gaps in scientific AI development. Generated by Q https://pulse-3k2.pages.dev/news/279154b2242d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b5b66901314 2026-07-02 monthly 0.7 https://wp.technologyreview.com/wp-content/uploads/2026/06/zeiss-mirror-for-high-na-euv-lithography_689221_2.jpg?w=1936 The $400 million machine powering the future of chipmaking Jos Benschop is climbing a ladder to get to the top of his newest machine.  It’s a bit of a schlep. The contraption is the size of a double-decker bus—more than 150 tons of gleaming precision-mil https://pulse-3k2.pages.dev/news/de3bead90f14 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22138/gradient.png BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language Abstract BioMatrix is a novel multimodal foundation model that integrates molecular sequences, structures, and natural language into a unified decoder-only architecture for diverse biological tasks. G https://pulse-3k2.pages.dev/news/740601746dc5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20636/gradient.png SkillHarness: Harnessing Safe Skills for Computer-Use Agents Abstract SkillHarness is a framework that enables computer-use agents to safely learn and execute skills in dynamic environments by incorporating safety constraints and adaptive skill selection mechan https://pulse-3k2.pages.dev/news/0e26eaba8347 2026-07-02 monthly 0.7 https://preview.redd.it/fejnvin4oz8h1.png?width=140&height=88&auto=webp&s=1e4ec804ec03cc6d228f04e95be22725b7d01f02 Human Evaluation of GLM-5.2 I've seen plenty of benchmarks that put GLM-5.2 below many of the closed source alternatives but at their heels. I thought to myself, next version GLM will totally be where the best frontiers are at n https://pulse-3k2.pages.dev/news/4c09ac783566 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21670/gradient.png Improving Text-to-Music Generation with Human Preference Rewards Abstract A text-to-music generation system uses reward conditioning, expert iteration, and preference tuning to improve audio quality while maintaining efficiency within a 120M-parameter model framewo https://pulse-3k2.pages.dev/news/38549546359b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fa2837dcf791 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21906/gradient.png Deeper is Not Always Better: Mitigating the Alignment Tax via Confident Layer Decoding Abstract Autoregressive generation in large language models traditionally uses the final layer for token prediction, but a new decoding strategy dynamically selects more reliable intermediate layers b https://pulse-3k2.pages.dev/news/a502bcda6c75 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6IWftDk0mi0pcGFt7Zvxuj/7e91b7a51f4eaef14112e4b9217b7c76/deploy_node_servers_with_zero_configuration_og_card.jpg Deploy Node servers with zero configuration You can now deploy a Node.js server to Vercel with zero configuration. Vercel detects a server.ts file at the project root or at src/server.ts and deploys it as a Node.js application, in addition to e https://pulse-3k2.pages.dev/news/145fcdd2a815 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23050/gradient.png Unlimited OCR Works Abstract Unlimited OCR introduces Reference Sliding Window Attention to eliminate growing memory consumption during long-sequence OCR tasks, enabling efficient transcription of multiple pages in a sin https://pulse-3k2.pages.dev/news/b474e419795e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23085/gradient.png Foresight: Failure Detection for Long-Horizon Robotic Manipulation with Action-Conditioned World Model Latents Abstract A failure detection framework for long-horizon robotic tasks uses action-conditioned world models and functional conformal prediction to monitor manipulation trajectories with only final task https://pulse-3k2.pages.dev/news/0e21c1eb0c5a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a3cc246ef0bd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9a197540a9fe 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23489/gradient.png MeshFlow: Mesh Generation with Equivariant Flow Matching Abstract MeshFlow generates triangle meshes directly using equivariant optimal-transport flow matching models with improved inference speed over autoregressive methods. Generated by Qwen/Qwen2.5-Coder https://pulse-3k2.pages.dev/news/0fcfe7bbf21d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22778/gradient.png HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions Abstract HAKARI-Bench provides a lightweight benchmark for comparing retrieval methods across multiple configurations and languages, enabling efficient model selection and performance analysis. Genera https://pulse-3k2.pages.dev/news/1e0d2465783f 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!0sP8!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fpbs.substack.com%2Fmedia%2FHLbX8TUaoAA9OTl.jpg [AINews] SpaceX is already a $28B/yr Neocloud a quiet day lets us reflect on some numbers from Jamin Ball. https://pulse-3k2.pages.dev/news/dd2a8b9fd6cc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23449/gradient.png AOHP: An Open-Source OS-Level Agent Harness for Personalized, Efficient and Secure Interaction Abstract AOHP presents an Android-based operating system framework that treats AI agents as first-class entities, enhancing task completion rates and reducing execution costs through specialized agent https://pulse-3k2.pages.dev/news/94ebb081f8c4 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/telco-tech-blog-tm-forum-1920x1080-1.webp How Telcos Build Autonomous Networks with Agentic AI Telecom operators are adopting AI across network operations, customer care, and back-office workflows, but most are still early in the journey to autonomy. In... https://pulse-3k2.pages.dev/news/2a8103fa8ed9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3a8b3d9177d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/583981521f81 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21337/gradient.png DataClaw0: Agentic Tailoring Multimodal Data from Raw Streams Abstract Agentic Data Tailoring paradigm uses learnable data processing to structure high-entropy multimodal streams, with DataClaw_0-9B model achieving robust alignment through SFT and GRPO on a nove https://pulse-3k2.pages.dev/news/23c53e7a1a37 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/255e910c25c7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/decc51ec3fe6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1281a863a7c4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23503/gradient.png UniverSat: Resolution- and Modality-Agnostic Transformers for Earth Observation Abstract UniverSat introduces a Universal Patch Encoder for Vision Transformers that enables robust, sensor-agnostic spatial feature extraction across diverse Earth Observation data types. Generated b https://pulse-3k2.pages.dev/news/09f468415171 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14971/gradient.png FastMix: Fast Data Mixture Optimization via Gradient Descent Abstract FASTMIX automates optimal data mixture discovery during training by formulating mixture selection as a bilevel optimization problem that jointly optimizes mixture coefficients and model param https://pulse-3k2.pages.dev/news/4a0eb0b01c8c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22883/gradient.png CLI-Universe: Towards Verifiable Task Synthesis Engine for Terminal Agents Abstract A principled synthesis engine generates high-quality terminal-agent tasks through multi-dimensional capability taxonomy and evidence-guided research, creating a distilled dataset that enables https://pulse-3k2.pages.dev/news/bf34836adfed 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21139/gradient.png PoLAR: Factorizing Extent and Mode in Latent Actions for Robot Policy Learning Abstract PoLAR introduces a geometrically structured latent action representation in hyperbolic space that separates transition extent from transition mode, improving robotic policy learning performan https://pulse-3k2.pages.dev/news/f736cad9bae4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b37e90046b64 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23557/gradient.png Dense Reward for Multi-View 3D Reasoning with Global Maps and Local Views Abstract DR-MV3D presents a map-grounded learning framework with dense rewards to improve multi-view 3D visual question answering through global map construction, view-trajectory planning, and egocent https://pulse-3k2.pages.dev/news/0165ac26c6a0 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT-Map-Chip-01.jpg?itok=j9rx_STs New chip could help tiny robots traverse complex environments Researchers combined an efficient algorithm with dedicated hardware to rapidly generate 3D maps for navigation using minimal memory and power. https://pulse-3k2.pages.dev/news/619a20e6537b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23608/gradient.png Causal Discovery in the Era of Agents Abstract Language models should assist causal discovery workflows by providing contextual support and explanations rather than generating causal conclusions, as demonstrated through a platform that in https://pulse-3k2.pages.dev/news/1ea54a484170 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23654/gradient.png EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions Abstract EnterpriseClawBench presents a benchmark for enterprise agents based on real-world sessions with 852 reproducible tasks, emphasizing comprehensive evaluation metrics beyond single performance https://pulse-3k2.pages.dev/news/b9b5ebfd1ebe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/70ea957149f7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/36268927cdd2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22540/gradient.png PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models Abstract PolicyTrim is a reinforcement learning-based framework that enhances VLA model efficiency by extending reliable action chunk lengths and reducing redundant physical steps through dynamic expl https://pulse-3k2.pages.dev/news/f61aba81538b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23267/gradient.png Safe Few-Step Generation via Velocity Editing Abstract VESFlow is a training-free safety method for flow matching-based text-to-image generation that edits velocity fields to ensure safe output while maintaining prompt integrity. Generated by Qwe https://pulse-3k2.pages.dev/news/062259e5bff7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bbf7388676c2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.23321/gradient.png Tmax: A simple recipe for terminal agents Abstract A novel RL training approach for terminal agents achieves superior performance using a simplified recipe and expanded dataset, enabling effective training with fewer parameters than previous https://pulse-3k2.pages.dev/news/3557bf2df03a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19409/gradient.png OpenRath: Session-Centered Runtime State for Agent Systems Abstract OpenRath introduces a PyTorch-like programming model for multi-agent systems using Session as a central runtime abstraction that enables explicit fork, merge, and replay operations while reco https://pulse-3k2.pages.dev/news/ca661e1d0fc2 2026-07-02 monthly 0.7 https://preview.redd.it/k0yhvy318y8h1.png?width=640&crop=smart&auto=webp&s=287fcd31e89b072ecbaef535c4d7afd054b910bc Boogu Base, Turbo, Edit - open-source unified image generation and editing model series Boogu-Image-0.1 is a competitive Apache-2.0 open-source unified image generation and editing model family , including Base , Turbo , Edit , and other variants that provide stable, practical capabiliti https://pulse-3k2.pages.dev/news/7c2df89f3b51 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18844/gradient.png Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation Abstract Trajectory-Augmented Policy Optimization (TAPO) enhances large language model reasoning by creating explicit corrective trajectories that preserve erroneous reasoning while incorporating natu https://pulse-3k2.pages.dev/news/9aa1b37f13ad 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/831c5c1d4013 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20002/gradient.png Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning Abstract Large language models can be trained through reinforcement learning to develop a meta-capability enabling continuous learning and adaptation across long sequences of tasks in dynamic environm https://pulse-3k2.pages.dev/news/30f997572f43 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22388/gradient.png PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems Abstract PlanBench-XL evaluates large language model agents' ability to plan and adapt in complex tool-rich environments with limited visibility and dynamic disruptions. Generated by Qwen/Qwen2.5-Code https://pulse-3k2.pages.dev/news/debef8f5692f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20781/gradient.png World Action Models: A Survey Abstract World Action Models are predictive-action systems that generate future states for decision-making, with designs balancing representational richness against computational constraints. Generate https://pulse-3k2.pages.dev/news/0e3b6d3851b9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5773b33ac29f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20097/gradient.png HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization Abstract HydraHead is a novel attention hybridization architecture that combines Full Attention and Linear Attention at the head level, achieving superior long-context performance with reduced trainin https://pulse-3k2.pages.dev/news/3a7da2d6d347 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.22807/gradient.png KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking Abstract KaLM-Reranker-V1 is a fast reranker that decouples query and passage computation using encoder-decoder architecture with Matryoshka embedding pooling and cross-attention for efficient relevan https://pulse-3k2.pages.dev/news/567f63af2121 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19750/gradient.png Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models Abstract Reinforcement learning approaches for improving LLM reasoning capabilities are enhanced by a Bayesian Manifold Curriculum framework that structures problem sampling based on task manifold rel https://pulse-3k2.pages.dev/news/3caf4be427c9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21649/gradient.png EvoEmbedding: Evolvable Representations for Long-Context Retrieval and Agentic Memory Abstract EvoEmbedding is a dynamic embedding model that generates adaptive representations by maintaining a continuously updated latent memory, enabling improved retrieval performance in long-context https://pulse-3k2.pages.dev/news/90e612775bc3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c70dc0f42dfa 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11075/gradient.png Exploring the Design Space of Reward Backpropagation for Flow Matching Abstract FlowBP addresses limitations in flow matching model alignment by using a surrogate trajectory framework that reduces memory usage and gradient chaining while maintaining performance across mu https://pulse-3k2.pages.dev/news/bfbea34444c6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12871/gradient.png DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks Abstract Search agents face challenges in real-world evaluation due to limited benchmarks and coarse metrics, necessitating more nuanced assessment approaches. Generated by Qwen/Qwen2.5-Coder-32B-Inst https://pulse-3k2.pages.dev/news/7845abadc9a6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.21777/gradient.png CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks Abstract Calibrated verifier telemetry enhances LLM agents in knowledge-intensive question answering by providing confidence scores and grounding verification, reducing both over-retrieval and unsuppo https://pulse-3k2.pages.dev/news/fce4a15490c2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18648/gradient.png Deep Research in Physical Sciences: A Multi-Agent Framework and Comprehensive Benchmark Abstract PhySciBench benchmark reveals limited performance of current LLM agents in physical science research, leading to development of DelveAgent framework that improves accuracy through modular des https://pulse-3k2.pages.dev/news/0bb3c4e10063 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VibeThinker: 3B param model that beats Opus 4.5 on reasoning with novel SFT+GRPO Article URL: https://arxiv.org/abs/2606.16140 Comments URL: https://news.ycombinator.com/item?id=48639240 Points: 211 # Comments: 85 https://pulse-3k2.pages.dev/news/ec9b9d1b8b04 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Robot-hand.png?resize=1200,800 The running list: major tech layoffs in 2026 where employers cited AI A running look — in reverse chronological order — at the bigger tech companies that have announced significant layoffs this year with AI as a stated factor. https://pulse-3k2.pages.dev/news/3b7bf5bec283 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f7194843813f 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/09/GettyImages-2214107176.jpg?resize=1200,800 OpenAI launches new initiative to help find and patch open-source bugs OpenAI is attempting to tackle the security issues of the open source software community. https://pulse-3k2.pages.dev/news/f27ed0cf03a1 2026-07-02 monthly 0.7 https://preview.redd.it/egmzfu1wbx8h1.png?width=140&height=75&auto=webp&s=4b698667a931b55e5277015a4c75db3fa3919201 Why is NO one talking about Microsoft's open source Fast Context!!! https://huggingface.co/microsoft/FastContext-1.0-4B-SFT https://github.com/microsoft/fastcontext FastContext-1.0 is a lightweight repository-exploration subagent for LLM coding agents. Instead of lett https://pulse-3k2.pages.dev/news/c978b727707b 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/5iNR3iunXu5UzzOTGlRq5B/73d9b3d51e40e0d98907eb18246142cb/image.png Deploy from Claude Design to Vercel Vercel is now a send-to destination in Claude Design . When you finish a design, you can send it to Vercel and get a live URL back without leaving your canvas. Claude Design deploys the design as a ne https://pulse-3k2.pages.dev/news/b0d7df1028b0 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/huggingface-hub-release-ci/thumbnail.png Shipping huggingface_hub every week with AI, open tools, and a human in the loop Back to Articles a]:hidden"> Shipping huggingface_hub every week with AI, open tools, and a human in the loop Published June 23, 2026 Update on GitHub Upvote - Lucain Pouget Wauplin Célina Hanouti cel https://pulse-3k2.pages.dev/news/480508a9ca16 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/6wFIgOcT1xK5IvZQIDJ2xQ/edf82561f00cdb27cf3ffcfcad7cd215/oai_Omio_SEO.png?w=1600&h=900&fit=fill How Omio is building the future of conversational travel Discover how Omio uses OpenAI to power conversational travel experiences, accelerate product development, and transform into an AI-native company. https://pulse-3k2.pages.dev/news/29e03667e924 2026-07-02 monthly 0.7 https://images.zed.dev/blog/hidden-gems-part-4/thumbnail.webp Hidden Gems: Part 4 Favorite workflows and hidden features from the Zed team and community. https://pulse-3k2.pages.dev/news/0cee3570d44d 2026-07-02 monthly 0.7 https://vercel.com/api/dynamic-og?title=Custom%20OIDC%20Token%20Audiences&format=changelog Custom OIDC Token Audiences Vercel's OIDC issuer ( oidc.vercel.com ) now supports custom audiences. Deployments can request OIDC tokens with a specific audience claim, enabling secure service-to-service authentication with third https://pulse-3k2.pages.dev/news/6d50292de212 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/1fNofxfydW5hekrHiaGWIc/331caaaed338f9122101157526a287b6/image.png Redesigned trace viewer for Vercel Workflows The trace viewer for Vercel Workflows and Workflow SDK has been redesigned to better support inspecting runs from start to finish. Search across spans, zoom into any section of the timeline, and step https://pulse-3k2.pages.dev/news/2e297cf400e7 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/cross-origin-storage/thumbnail.jpg Experimenting with the proposed Cross-Origin Storage API in Transformers.js Back to Articles a]:hidden"> Experimenting with the proposed Cross-Origin Storage API in Transformers.js Published June 23, 2026 Update on GitHub Upvote 1 Thomas Steiner tomayac google (This is a gues https://pulse-3k2.pages.dev/news/4607f84e9264 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a7636cf1a9bd 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6OE1HsP0rGFZClnMr116aX/d2ac2125ca511ef95578c52143dd4dc6/image.png Scaffold your chat apps with create-chat-sdk Creating a new Chat SDK bot now takes a single command. create-chat-sdk scaffolds a complete Next.js project with your chosen platform adapters, a state adapter, environment variables, and a webhook r https://pulse-3k2.pages.dev/news/f26c96cfcb19 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d0f14fad967a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/82711ec959da 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d9a5b614d45 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/8a8e59d63a7281573a19f90250cfec415594a640ab6709f023ce7ede695b51f6/langchain-ai/langchain/releases/tag/langchain%3D%3D1.3.11 langchain==1.3.11 Changes since langchain==1.3.10 release(langchain): 1.3.11 ( #38377 ) fix(langchain,openai): only set strict=True on tools for OpenAI-compatible models in ProviderStrategy ( #38370 ) chore: bump pydan https://pulse-3k2.pages.dev/news/805a9b67efbe 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/db120b773076265f40faeacf1d0fb70f2d129d9fd89d6dbe7dd2357b428f001f/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.4.7 langchain-anthropic==1.4.7 Changes since langchain-anthropic==1.4.6 hotfix(anthropic): regenerate cassette ( #38376 ) release(anthropic): 1.4.7 ( #38373 ) chore: bump vcrpy from 8.1.1 to 8.2.1 in /libs/partners/anthropic ( #383 https://pulse-3k2.pages.dev/news/47a2fcfc890b 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/6008fdede8246645d4d38cdb8036b77d9089f7552d97e8382408e8453ba438d4/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.3.3 langchain-openai==1.3.3 Changes since langchain-openai==1.3.2 release(openai): 1.3.3 ( #38375 ) fix(openai): drop response item ids when store is false ( #38372 ) fix(langchain,openai): only set strict=True on tools for Open https://pulse-3k2.pages.dev/news/e5de597cff36 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GM-factory-zero-1152x648.jpg GM installs robots at flagship EV factory after laying off 1,300 workers US autoworkers union warns of robot automation as dark factory future looms. https://pulse-3k2.pages.dev/news/3557dc5abc26 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e1f6ed1ada0e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/076a576bcbdc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19827/gradient.png When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning Abstract Adaptive Binning introduces a training-adaptive discretization method for self-supervised learning on medical tabular data, improving representation learning through feature-wise refinement a https://pulse-3k2.pages.dev/news/1ce8321a859a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8846e792a540 2026-07-02 monthly 0.7 https://unsloth.ai/docs/~gitbook/image?url=https%3A%2F%2F2815821428-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Forganizations%252FHpyELzcNe0topgVLGCZY%252Fsites%252Fsite_mXXTe%252Fsocialpreview%252FOeFDVbzp4cgwaId7PbvL%252Funsloth%2520docs%2520pic.png%3Falt%3Dmedia%26token%3Df34a6bcc-db15-449a-bc2d-e0e8f52fe953&width=1200&height=630&sign=b1ca68fa&sv=2 Runing GLM-5.2 on local hardware Article URL: https://unsloth.ai/docs/models/glm-5.2 Comments URL: https://news.ycombinator.com/item?id=48636377 Points: 207 # Comments: 92 https://pulse-3k2.pages.dev/news/eab4f2b11298 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0ef52ef7cd8a 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!ipA_!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3e363710-556e-469c-949c-a0942736c562_1348x934.png Red-Teaming after Mythos — Zico Kolter & Matt Fredrikson, Gray Swan OpenAI boardmember Zico Kolter and Gray Swan CEO Matt Fredrikson join swyx to explain why AI security is not just “cybersecurity with AI” https://pulse-3k2.pages.dev/news/20a9f42f4545 2026-07-02 monthly 0.7 https://external-preview.redd.it/VpGJI494QGRnBDvqRiEKbe7Cc_3GIxEPT93e9P2L43s.jpeg?width=640&crop=smart&auto=webp&s=5cf273eb1b63ca47116038dd2d216199da27ffee DeepSeek raises $7.4B USD at $60B valuation. Remarkably, Liang Wenfeng invests $3B in DeepSeek himself.   submitted by   /u/FullOf_Bad_Ideas [link]   [comments] https://pulse-3k2.pages.dev/news/dacd1e41e971 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Screenshot-2026-06-22-at-3.44.39-PM.jpg?resize=1200,676 The AI world is getting ‘loopy’ The loop takes agentic AI a step further, by authorizing a swarm of agents to work continuously in the background, endlessly. https://pulse-3k2.pages.dev/news/d222b62bbad9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19468/gradient.png Characterizing Narrative Content in Web-scale LLM Pretraining Data Abstract A comprehensive analysis of narrative structures in large-scale language model training data reveals measurable, multidimensional narrative patterns that vary across different content sources https://pulse-3k2.pages.dev/news/5bb24ad1420d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2018/08/safetynet.jpg?resize=1200,1058 AI chipmaker Groq confirms $650M raise, re-staffs after Nvidia’s $20B not-acqui-hire deal What does an AI company do after one of those not-acqui-hire deals? Groq raised money, is leaning into its neocloud business, and is hiring new execs. https://pulse-3k2.pages.dev/news/f2b84ebb0336 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/12/GettyImages-155376474.jpeg?resize=1200,800 Nvidia wants to cut data center water use, but that’s not the same as fixing AI’s water problem Nvidia announced a new cooling system that cuts water use inside the data center. But it does nothing to address AI's biggest water use — fossil fuel power plants. https://pulse-3k2.pages.dev/news/209b202ea0d8 2026-07-02 monthly 0.7 https://urflow.bearblog.dev/static/og-image.png Jobs and Software Is Fucked Article URL: https://urflow.bearblog.dev/jobs-and-software-is-fucked/ Comments URL: https://news.ycombinator.com/item?id=48635112 Points: 227 # Comments: 183 https://pulse-3k2.pages.dev/news/ede7c77a7ce8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3128624810d9 2026-07-02 monthly 0.7 https://s.ipvm.com/uploads/919f/fb61/b283b4f1-bf9b-4ece-9362-d9d759874b0e.jpg Flock-Powered Police Chiefs Stalking Women Shows Why Warrants Are Needed Article URL: https://ipvm.com/reports/police-chiefs-track Comments URL: https://news.ycombinator.com/item?id=48634694 Points: 260 # Comments: 93 https://pulse-3k2.pages.dev/news/a49e7d5c2006 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/17cf73453cd1 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2252299302.jpg?w=1024 Google DeepMind bets $75M on AI’s future in Hollywood with A24 deal Google DeepMind and A24 are teaming up to build AI filmmaking tools. https://pulse-3k2.pages.dev/news/0835db87cc95 2026-07-02 monthly 0.7 https://external-preview.redd.it/LNMbvVbl_nBFB_UxhjIgrZDHppIWffyhA_FcGWji6qA.png?width=640&crop=smart&auto=webp&s=397f2e8606b1b7434385fd66a6a83b5c367df967 Qt Creator 20 and local AI   submitted by   /u/cristianadam [link]   [comments] https://pulse-3k2.pages.dev/news/17c2cac09b23 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZwKUztghoJzCKHsAtfV3OVC11dPVGPrvWJ9nCEUWgyU.jpeg?width=640&crop=smart&auto=webp&s=10605df38db656db4141857604cc7ac38ed4c682 GLM-5.2 vs Claude Opus   submitted by   /u/johnnyApplePRNG [link]   [comments] https://pulse-3k2.pages.dev/news/e86d5684f8fb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/87c282464d6e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/993df05e1c54 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/98826b6e12e1 2026-07-02 monthly 0.7 https://external-preview.redd.it/yCSOOuU_8JqfG0iHhAe2ea_4SDRDz-5XN0ml_QjEYgw.png?width=640&crop=smart&auto=webp&s=c296397e1102d7de2633880f1057e3402410ab45 Add Laguna M.1 GGUF support by empty-quiver · Pull Request #2003 · ikawrakow/ik_llama.cpp Laguna M.1 225B-A23B GGUF : https://huggingface.co/sigargv/Laguna-M.1-GGUF FYI ik_llama.cpp already supports Laguna XS.2 too Laguna XS.2 33B-A3B GGUF : https://huggingface.co/ji-farthing/Laguna-XS.2-i https://pulse-3k2.pages.dev/news/8bb7dc69ec75 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/08/alexa-plus-event.png?resize=1200,675 Amazon is testing Alexa+ in India with Hindi support Amazon sent emails to customers inviting them to test Alexa+ https://pulse-3k2.pages.dev/news/f697b28f34b5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18381/gradient.png SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG Abstract SproutRAG is an attention-guided hierarchical retrieval-augmented generation framework that organizes sentence-level chunks into semantically coherent units using learned inter-sentence atten https://pulse-3k2.pages.dev/news/4293b187c6fe 2026-07-02 monthly 0.7 https://external-preview.redd.it/YS5pdxfJ_3AhvgyLEwE7PshzLPrb6wcK89i157rzSCk.png?width=640&crop=smart&auto=webp&s=f88d7e0a27a1617f1bb1a24ec56a5ac19d884237 Top-N-Sigma: Remove unconditional softmax+sort by TimNN · Pull Request #22645 · ggml-org/llama.cpp Overview Currently, the Top-N-Sigma sampler does an unconditional softmax+sort at the end. In the (common, I believe) case of Top-N-Sigma being followed by Dist, this expensive work is completely wast https://pulse-3k2.pages.dev/news/dcc1fc095ba9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18508/gradient.png MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval Abstract MCompassRAG enhances retrieval-augmented generation by using topic-level metadata to guide chunk selection, improving both efficiency and precision in complex research tasks. Generated by Qwe https://pulse-3k2.pages.dev/news/cbfcfbd4d097 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/44efbe225e6f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d3c1312113ff 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/624c08170d2c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/GettyImages-2259661359.jpg?w=1024 SpaceX inks compute deal with Reflection AI, an open-source AI lab Reflection AI will pay $150 million a month beginning July 1, 2026 through 2029 for immediate access to Nvidia's latest GB300 AI chips and supporting hardware across SpaceX's Colossus 2 data center ne https://pulse-3k2.pages.dev/news/e8dbfb18b45e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b36368724bfa 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/featured-image-JB-616.webp CCCL Runtime: A Modern C++ Runtime for CUDA The NVIDIA CUDA Core Compute Libraries (CCCL) provides delightful and efficient abstractions for CUDA developers in C++ and Python. It features: Parallel... https://pulse-3k2.pages.dev/news/2376775d73cb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/566afe663242 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!HpF5!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa36c834f-7e2f-4895-ac88-4c2db4bb3bcf_3524x1599.jpeg How to Use AI to Make You Better at the Right Things Extend your grasp and increase your breadth https://pulse-3k2.pages.dev/news/dfdc7b815f3d 2026-07-02 monthly 0.7 https://preview.redd.it/u8v8ya27su8h1.png?width=140&height=68&auto=webp&s=f2295f1d2a3760e01945f239a570a8b5b46cc9c9 TMax: A Simple Recipe for Terminal Agents TMax is the strongest open RL recipe for terminal agents to date, bringing open data recipes closer to the frontier. We release two things. The first is TMax-15k , a dataset of 14,600 RL environments https://pulse-3k2.pages.dev/news/3b265019bf09 2026-07-02 monthly 0.7 https://preview.redd.it/lprw8cnwpu8h1.png?width=640&crop=smart&auto=webp&s=a9fb3e8db72b5d9b4d244f969dab02c90f43f1c8 NEX-N2-mini: "There is no Pareto frontier. I am Pareto". This Qwen3.5-MoE fine tune fixed 3.5 and 3.6 overthinking apparently on my tests. I have been testing all popular MoE for my Mac and it seems I just found gold: 3.5/3.6 level of reasoning (if not slightly superior) at a fraction of the reasoning tokens used (wasted). Dynamic plot w https://pulse-3k2.pages.dev/news/aedd43736655 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0aeb20a44e22 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a48ae3484634 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0f1863469dd1 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/image1-4.webp Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI When AlphaFold2 revolutionized drug discovery in 2020, its success relied entirely on the roughly 170,000 protein structures collected by scientists since 1971... https://pulse-3k2.pages.dev/news/84112d1b388b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20527/gradient.png StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs Abstract Multimodal large language models exhibit social bias driven by specific visual attributes, with fashion style and socioeconomic cues having the greatest impact on model judgments. Generated b https://pulse-3k2.pages.dev/news/8236adbe38ea 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/267cdc82-6fbc-4f68-bcba-160091396dfd_3182x1790.png GLM-5.2 is the step change for open agents A capability threshold I've been carefully monitoring. https://pulse-3k2.pages.dev/news/e5e5aad63937 2026-07-02 monthly 0.7 https://preview.redd.it/8ixart3eku8h1.png?width=140&height=87&auto=webp&s=bb17e1bb0bc402a7abba84884823f663fe41be72 Same model, same prompt, 4 different agents Setup: one self-hosted Qwen3.6-27B (Q4) on llama.cpp, identical prompt, identical hardware. The only variable is the agent scaffolding. Agents tested: pi, opencode, hermes, qwen code . Task: a single- https://pulse-3k2.pages.dev/news/eb8c0a3a246f 2026-07-02 monthly 0.7 https://preview.redd.it/wawma8paeu8h1.png?width=140&height=39&auto=webp&s=8546e40b7710c5a3566b17f2c4635b14b3f19c0b Some new updates to Papers with Code [P] Hi folks, Niels here from the open-source team at Hugging Face. I continue working on a revival of paperswithcode.co as we're back to the "age of research" per Ilya Sutskever! Hence, it's important to https://pulse-3k2.pages.dev/news/29e671837e84 2026-07-02 monthly 0.7 https://i0.wp.com/patrickmccanna.net/wp-content/uploads/2026/06/IMG_0730.jpeg?resize=740%2C147&ssl=1 The text in Claude Code’s “Extended Thinking” output Article URL: https://patrickmccanna.net/the-text-in-claude-codes-extended-thinking-output-is-not-authentic/ Comments URL: https://news.ycombinator.com/item?id=48630535 Points: 210 # Comments: 151 https://pulse-3k2.pages.dev/news/838f1346a3fe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4d7b1e224266 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/Early-Stage-2024-audience.jpg?resize=1200,800 The founder conference built for growth: TechCrunch Founder Summit pass rates increase June 26 Save up to $190 on your pass to TechCrunch Founder Summit 2026 by June 26, 11:59 p.m. PT. Designed for founders first on November 4 in Boston. Register here. https://pulse-3k2.pages.dev/news/de27c90db81e 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/p73BwlFhYTqoSRoHHF1FK/89d642ec38ab9dfe01a9f344b190a744/image.png Chat SDK adds Kapso support Chat SDK now supports Kapso with the new vendor-official adapter . Kapso connects your bot to WhatsApp through its hosted platform, handling the WhatsApp Business setup, credentials, and webhooks so y https://pulse-3k2.pages.dev/news/a1c71f0fb0d1 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/a5F01nGydoD1d5SVzzm3n/3e0e4d4fe6ae1900d4418a23e4be17af/image.png Chat SDK adds Novu support Chat SDK now supports Novu with the new vendor-official adapter . One handler set puts your agent on Slack, Microsoft Teams, WhatsApp, Telegram, and email. Novu handles credentials, identity, and deli https://pulse-3k2.pages.dev/news/38abd0cd5040 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6ATZntw4Vy0y4DECDZm23S/789b318f93c114fea9bbf58fff4b3ead/image.png Chat SDK adds Sendblue support Chat SDK now supports Sendblue with the new vendor-official adapter . Build bots that send and receive iMessage, SMS, and RCS through Sendblue's hosted gateway, reaching people on the messaging apps t https://pulse-3k2.pages.dev/news/f77b50c921fa 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3xVpF49rTmuS68CUH2bwJ7/ece4609b1fd158533d9eea9815494199/image.png Chat SDK adds Linq support Chat SDK now supports Linq with the new vendor-official adapter . Build bots that send and receive texts in both direct messages and group chats, with bidirectional media and native iMessage tapback r https://pulse-3k2.pages.dev/news/616d8a1b7ff8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3ef534b64b1 2026-07-02 monthly 0.7 https://nevergivethemyourface.com/assets/images/og.png Never Give Them Your Face Article URL: https://nevergivethemyourface.com/ Comments URL: https://news.ycombinator.com/item?id=48630066 Points: 327 # Comments: 198 https://pulse-3k2.pages.dev/news/b58a8aabb622 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/04/lock-anthropic-1152x648.jpg How Anthropic may have talked itself into an AI export ban The company warned about dangers of advanced AI far more than rival OpenAI. https://pulse-3k2.pages.dev/news/5ad90e34ef63 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e1ccce717bd8 2026-07-02 monthly 0.7 https://preview.redd.it/4kxbblhd6u8h1.jpg?width=140&height=140&crop=1:1,smart&auto=webp&s=cf85402dca16f5a3012677c0296e2852a51ef827 GLM5.2 @7tg on 4x3090 + 192GB on budget motherboard + cpu I finally finished by home lab computer I started working on in May. I carefully waited and bought the 3090s in three local transactions. Every single seller was a gamer who was upgrading to 4090 or 5 https://pulse-3k2.pages.dev/news/b497f30634e4 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/652b2e9166313ebb6197e706/l156KP0e5PRyDrE4woHoM.jpeg PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters Back to Articles a]:hidden"> PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters Team Article Published June 22, 2026 Upvote 6 AlexZhang AlexTransformer PaddlePaddle cuicheng Cheng https://pulse-3k2.pages.dev/news/d1236149e24d 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/humanoid-robot.webp Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional... https://pulse-3k2.pages.dev/news/ff870ad2ceef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ce57d96eb612 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!gTmh!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fa9ace85e-73bf-4662-801a-ec3a81d58666_1199x830.jpeg GLM-5.2 Is The New Best Open Model GLM-5.2 arrived last week. https://pulse-3k2.pages.dev/news/b345a91f0491 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!3yYS!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd6d17996-2bef-40a4-abe3-be72a0e8a227_258x258.png Import AI 462: Superpersuasion; self-sustaining AI; paths to ASI How religious are beliefs in the singularity? https://pulse-3k2.pages.dev/news/b78bac4e35bb 2026-07-02 monthly 0.7 https://puzzlelair.com/og-image.png Show HN: Got sick of ads, so I made my own logic puzzle site Article URL: https://puzzlelair.com/ Comments URL: https://news.ycombinator.com/item?id=48629213 Points: 208 # Comments: 124 https://pulse-3k2.pages.dev/news/36a5d411b2b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/95317a43338c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/89ff86e1851a 2026-07-02 monthly 0.7 https://preview.redd.it/ttkaj7xcgt8h1.jpg?width=140&height=140&crop=1:1,smart&auto=webp&s=342829f238f8f55ce8792f4412557aa3eaf0232d Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale arXiv : https://arxiv.org/abs/2606.15079 Full Paper : https://arxiv.org/pdf/2606.15079 HuggingFace : https://huggingface.co/inclusionAI/models?sort=created (This month they released base models for bo https://pulse-3k2.pages.dev/news/b5e4fd8c8c98 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1aeded037698 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/185a3774b8fe 2026-07-02 monthly 0.7 https://preview.redd.it/t11yz0kr8t8h1.png?width=320&crop=smart&auto=webp&s=45890566ef52ea197b78d99be3af051f3e690066 Gemma 4 QAT 31B responds better to KV cache quantization too I've run benchmark from this post and got even better results on Gemma 4 31B   submitted by   /u/justicecurcian [link]   [comments] https://pulse-3k2.pages.dev/news/01c778fa0394 2026-07-02 monthly 0.7 https://s0.wp.com/_si/?t=eyJpbWciOiJodHRwczpcL1wvaTAud3AuY29tXC9zdHJhdGVjaGVyeS5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMThcLzAzXC9jcm9wcGVkLWFuZHJvaWQtY2hyb21lLTUxMng1MTItMS5wbmc_Zml0PTUxMiUyQzUxMiZzc2w9MSIsInR4dCI6IlN0cmF0ZWNoZXJ5IGJ5IEJlbiBUaG9tcHNvbiIsInRlbXBsYXRlIjoiZWRnZSIsImZvbnQiOiIiLCJibG9nX2lkIjoxODgwNDM0MTV9.5VWck4PcKPWCTPe_HVznn3n3xsgn-G0b3d2OeiNNC7cMQ Apple Price Increases, Apple Intelligence and the E.U. Apple is (finally) raising prices, but they're not shipping Siri AI to the E.U. https://pulse-3k2.pages.dev/news/3696e67c2c9e 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/28CORR4fvsUacNtm39ZFFM/f57721baa5b429689844d619a4f1e5dd/SEO_Card__1_.png?w=1600&h=900&fit=fill Patch the Planet: a Daybreak initiative to support open source maintainers OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review. https://pulse-3k2.pages.dev/news/b63e5cb33bb0 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/6cfZttLA6PlFuCVypDeSh/5a3deeb70010cdf58dd7b78547850092/SEO_Card__4_.png?w=1600&h=900&fit=fill Daybreak: Tools for securing every organization in the world OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale. https://pulse-3k2.pages.dev/news/b2d1d2362c83 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2340370b439b 2026-07-02 monthly 0.7 https://external-preview.redd.it/k0xI6xVlzuVh93z7psJ_zY5YlHaMF61zOqfCT_6cCGg.png?width=640&crop=smart&auto=webp&s=979043e06c87de12800294935f3b30df4f126c7a Support Step3.5/3.7 flash mtp3 by forforever73 · Pull Request #24340 · ggml-org/llama.cpp follow-up to #23274 Multi-layer MTP support! Try with latest llama.cpp version.   submitted by   /u/pmttyji [link]   [comments] https://pulse-3k2.pages.dev/news/cbada2210147 2026-07-02 monthly 0.7 https://preview.redd.it/2ytvy9njms8h1.jpeg?width=320&crop=smart&auto=webp&s=9e2294ed32265c1cc5b7b76961b4636eccb2ec71 Gemma 4 31B Q6 on Dual 9060 XT Running Gemma 4 31B Q6 on two 9060 XT 16GB cards, runs consistently around 8-9 t/s. From reading through other threads on here, people seem to think it should run faster than that, so not sure if I'm https://pulse-3k2.pages.dev/news/0d7df02b0f20 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/516f697732fc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16700/gradient.png Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models Abstract Reflective Masking enables iterative local refinement in Mask Diffusion Models through lightweight post-training, supporting multi-turn reasoning without architectural changes. Generated by Q https://pulse-3k2.pages.dev/news/bed2b62b63d4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17480/gradient.png GeneralVLA-2: Geometry-Aware Reconstruction and Governed Memory for Robot Planning Abstract GeneralVLA-2 addresses limitations in vision-language-action systems by introducing GeoFuse-MV3D for improved 3D reconstruction and an enhanced KnowledgeBank for better memory management in r https://pulse-3k2.pages.dev/news/2fbab13bf136 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5d97915904a0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15659/gradient.png SpatialAvatar-0: High-Quality 4D Head Avatar with Multi-Stage Reconstruction Abstract SpatialAvatar-0 enables high-quality 4D head avatar generation by combining feed-forward prediction with per-subject refinement through a shared Gaussian representation, achieving superior pe https://pulse-3k2.pages.dev/news/8a36656aba0d 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/9ab96a134cec3ea90a48e7ec0f394eb7b2e62de41fb02a34d4af687560764206/openai/codex/issues/28224 Codex logging bug may write TBs to local SSDs Article URL: https://github.com/openai/codex/issues/28224 Comments URL: https://news.ycombinator.com/item?id=48626930 Points: 240 # Comments: 133 https://pulse-3k2.pages.dev/news/4f0605239273 2026-07-02 monthly 0.7 https://techstackups.com/img/comparisons/glm-5.2-vs-opus/cover.jpg GLM 5.2 vs. Opus Article URL: https://techstackups.com/comparisons/glm-5.2-vs-opus/ Comments URL: https://news.ycombinator.com/item?id=48626866 Points: 205 # Comments: 164 https://pulse-3k2.pages.dev/news/81d697a60cfc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2acb796d37ae 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15641/gradient.png Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations Abstract A novel approach for B2B conversation classification that reduces token usage by 99% while improving performance and maintaining robustness as context length increases. Generated by Qwen/Qwen https://pulse-3k2.pages.dev/news/3209614492a1 2026-07-02 monthly 0.7 https://docs.deno.com/runtime/desktop/index.png Deno Desktop Article URL: https://docs.deno.com/runtime/desktop/ Comments URL: https://news.ycombinator.com/item?id=48626137 Points: 279 # Comments: 99 https://pulse-3k2.pages.dev/news/80802a1f33ea 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/52fffcdcbdf9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3ea93a9a28e5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18829/gradient.png GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents Abstract Current memory agents lack reliable shared institutional deployment due to challenges in balancing utility, access control, and forgetting across multiple principals with diverse authorizatio https://pulse-3k2.pages.dev/news/a48af3f54def 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/86d7f542e628 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19651/gradient.png BrainG3N: A Dual-Purpose Tokenizer for Controllable 3D Brain MRI Generation Abstract A 3D brain MRI generative model uses a masked-autoencoder tokenizer to create clinically informative embeddings that support both medical task performance and controlled image generation. Gen https://pulse-3k2.pages.dev/news/41bf38cfce37 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/686054d67ea1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18847/gradient.png WorldLines: Benchmarking and Modeling Long-Horizon Stateful Embodied Agents Abstract WorldLines benchmark evaluates long-term memory in embodied agents through household scenarios, while ObsMem framework addresses challenges in partial observability and memory translation for https://pulse-3k2.pages.dev/news/7acf803036bb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e78ecd929e66 2026-07-02 monthly 0.7 https://preview.redd.it/8qaktqtjjq8h1.png?width=640&crop=smart&auto=webp&s=7b15ed87397d55d167c27dfd44571761121f8640 GLM-5.2 is on DeepSWE https://deepswe.datacurve.ai/ Side note, why does this sub dislike DeepSWE? I want to know more and did some research and found this post which has since been retracted by the original author (highly https://pulse-3k2.pages.dev/news/29f21cd77115 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8f255887b92f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c15966347e0a 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/7uIfL23OrfroUP3H7dtbZ/ad046dd8d0bedc71a68d35f9a542d999/image__58_.png Sakana Fugu Ultra now available on AI Gateway Sakana Fugu Ultra from Sakana AI is now available on AI Gateway . Fugu Ultra is built on a pool of publicly accessible frontier models, rather than running as a single model. It coordinates several mo https://pulse-3k2.pages.dev/news/2e31033201b5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3b2144c72342 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/7r8ITCR9ZtuLImYJq2HmgM/ade9a44a39f5e935072cd1c40d26df5b/Websockets_1_.png WebSocket support is now in Public Beta Vercel Functions can now serve WebSocket connections, enabling bidirectional communication between clients and server-side code on Vercel. Use WebSockets for realtime features such as interactive AI s https://pulse-3k2.pages.dev/news/e2330fefe7e2 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/5wPjFVJwFZxBbh88EPcZIm/cd0e0689bc0c9120db4775b6c4a40ea9/Codex_Maxxing_16x9.png?w=1600&h=900&fit=fill Codex-maxxing for long-running work Learn how Jason Liu uses Codex to preserve context, manage complex projects, and help work continue beyond a single prompt. https://pulse-3k2.pages.dev/news/2924a033bce9 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/69cbPfCZ3XqS97mSm42997/3d97fe1ccadd14774b87cdab7fac2e5b/image__9_.png Vercel CLI now supports signing blob URLs You can now generate signed URLs for Vercel Blob directly from the Vercel CLI. A signed URL is a scoped URL with a set expiration time that lets you perform a single operation on a specific object. Ea https://pulse-3k2.pages.dev/news/965bb4d2ca17 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/local-models-pr-triage/thumbnail.png We got local models to triage the OpenClaw repo for FREE!* Back to Articles a]:hidden"> We got local models to triage the OpenClaw repo for FREE!* Published June 22, 2026 Update on GitHub Upvote - Onur Solmaz osolmaz ben burtenshaw burtenshaw shaun smith eval https://pulse-3k2.pages.dev/news/fd57a7118921 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/7ns5LLRfMD6tQOS5gcNLO7/c5669bef4ed0b1a826e6168d3dee65d4/image.png Workflow SDK now compresses run and step payloads The Workflow SDK 5 beta now compresses all run, hook, and step inputs and outputs with zstd . Compression kicks in automatically, but only when it helps. Small payloads stay as-is, larger ones get com https://pulse-3k2.pages.dev/news/21f9550374ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/173dbad21da8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b9c4b11c211a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e347116974a1 2026-07-02 monthly 0.7 https://external-preview.redd.it/s3zETEijR5VlGEv8jnAYlpIUtOJGtoxTXyjh8AaO6a0.png?width=640&crop=smart&auto=webp&s=947eb36eb17c2ccf2d30d361839999a5bd60ac54 Local LLM Inference Optimization: The Complete Guide I compiled a year of local LLM experiments into a practical llama.cpp optimization guide, covering VRAM fitting, KV cache, MoE placement, MTP, CPU tuning, and common OOM traps. Pass this to an LLM of https://pulse-3k2.pages.dev/news/4a975b89e4a0 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/18IGXqgYieQfH2AcUiYbua/4975e902fc7b1eb55f0863da06f82c92/samsung-electronics-16_9.png?w=1600&h=900&fit=fill Samsung Electronics brings ChatGPT and Codex to employees Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts. https://pulse-3k2.pages.dev/news/25d23ee74687 2026-07-02 monthly 0.7 https://static01.nyt.com/images/2026/06/15/multimedia/00inv-trucks-promo/00inv-trucks-promo-facebookJumbo.jpg The deadly rise of giant trucks and SUVs Unlocked: https://www.nytimes.com/interactive/2026/06/21/us/trucks-suv... Related: ttps://www.thedrive.com/news/75-more-pedestrians-have-been-killed-since-2009-giant-trucks-and-suvs-are-why Comments U https://pulse-3k2.pages.dev/news/ed140b4e4c38 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/cloudflare-claim.jpg Temporary Cloudflare Accounts for AI agents Temporary Cloudflare Accounts for AI agents The announcement says this is "for AI agents" but (as is pretty common these days) the AI hook isn't really necessary, this is an interesting feature for ev https://pulse-3k2.pages.dev/news/b9194c8536ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6d621aad9c7c 2026-07-02 monthly 0.7 https://david.newgas.net/wp-content/uploads/2026/06/image-4-1024x148.png Did my old job only exist because of fraud? Article URL: https://david.newgas.net/did-my-old-job-only-exist-because-of-fraud/ Comments URL: https://news.ycombinator.com/item?id=48622867 Points: 220 # Comments: 96 https://pulse-3k2.pages.dev/news/3d1f3fa6ce3a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f1053550fbe3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5f56c075c483 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b5bbbbefadd3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9ae4d02b2d62 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8111adb54738 2026-07-02 monthly 0.7 https://preview.redd.it/884996abvo8h1.png?width=140&height=80&auto=webp&s=120928d25a450c6e6f702d30f624a22fcfde07fb Local text to image model comparaison: The ultimate test. I selected 192 prompts to evaluate text-to-image model various capabilities and generated images for all the local models I was able to make work on my GX10 Spark. For instance: Is the model good at t https://pulse-3k2.pages.dev/news/deba37a04788 2026-07-02 monthly 0.7 https://preview.redd.it/9ebh98q6uo8h1.png?width=140&height=73&auto=webp&s=bc518b767c08ee943f01c04ece6bbeabcae5dbbd An Update on Matrix Recurrent Units, an Attention Alternative [R] I recently revisited my matrix recurrent units algorithm (the MRU), a novel linear-time sequence architecture I created as an alternative to attention. I explain it in depth at the repo , but the gist https://pulse-3k2.pages.dev/news/9124b178ece2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/642bcbbd0f70 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4e06ce29ff97 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8e195a9e8c2c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3efb41e55527 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/82f0325dfb1d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2c47b57dbc03 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ec6b5490ed7e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/56c8361a63b8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50cea27bb3f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a484e2b1d455 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b8e827d5a05e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/74dc50ff9354 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d8f5094854fa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4f3ac210a583 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/03b9db009c48 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3bf36923ffa9 2026-07-02 monthly 0.7 https://preview.redd.it/jhjdb0kg1o8h1.jpg?width=140&height=74&auto=webp&s=bda8ed451861c989aa8122e9d725b83bdacaff09 I pretrained and post trained a 500M parameter LLM and 330M parameter Image generator from scratch Hey folks Hope you are doing well I started HobbyLM as an side project last month Initially I wrote an Agent harness using Claude SDK which takes notes on various LLM architecture does ablation studie https://pulse-3k2.pages.dev/news/5032c2b66dcb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d2ed8622dde5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c07c413be28a 2026-07-02 monthly 0.7 https://external-preview.redd.it/PTQPfpRmdU6UwXNRnHJCYZpwXhggZYQPwTvUQN3qx2A.png?width=140&height=70&auto=webp&s=44ffb1f31912d4cf948bcd9a46a3bfef22db2938 A slightly improved DVD-JEPA demo [P] Hey! I came across this post , which I found quite neat as a minimal demonstration of JEPA. However, as the comments pointed out, there was some room for improvement. So I added a few things such as e https://pulse-3k2.pages.dev/news/a0065c4a2f8d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/anthropic-claude-fable.jpg?resize=1200,798 When the Trump administration cracks down on Anthropic, who benefits? On the new episode of Equity, we discussed what actually prompted the administration's latest moves against Anthropic, and what this might mean for the AI ecosystem. https://pulse-3k2.pages.dev/news/77f4704f3e08 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!MovB!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fb2eafb12-892b-44cc-b2d0-6ed07ef991cc_1494x870.png [Exclusive] $250 off AI Engineer tix til Monday special offer for subscribers - $250 off AI Engineer tix til Monday https://pulse-3k2.pages.dev/news/7f055dff129a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/01/tim-cook-iphone-GettyImages-2234563479.jpg?w=1024 Beyond Siri: Here are the practical AI features coming to your iPhone in iOS 27 Siri’s AI overhaul may have grabbed the headlines at WWDC, but some of Apple’s most useful AI features are arriving elsewhere in iOS 27. https://pulse-3k2.pages.dev/news/9874d7e36daf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/12d0f6d6b575 2026-07-02 monthly 0.7 https://preview.redd.it/oqzbrucwan8h1.jpeg?width=640&crop=smart&auto=webp&s=c99e08014ba7b4ce7aedfc951772776d1ea7394b Tokenomics   submitted by   /u/HOLUPREDICTIONS [link]   [comments] https://pulse-3k2.pages.dev/news/95808db4dbbf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/108a2577eee8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1dc420682313 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/16e631d33634 2026-07-02 monthly 0.7 https://www.patreon.com/meta-image/post/161333338 Printing Gaussian Splats Article URL: https://www.patreon.com/DanyBittel/posts/printing-splats-161333338 Comments URL: https://news.ycombinator.com/item?id=48618481 Points: 210 # Comments: 19 https://pulse-3k2.pages.dev/news/f5e805c8a9b4 2026-07-02 monthly 0.7 https://downloads.intercomcdn.com/i/o/lupk8zyo/792494/717b10d3ebd874823db64841659b/76f3062d78ebbb04863fb1de3ef9cca0.png Identity verification on Claude https://old.reddit.com/r/ClaudeAI/comments/1ubm53n/official_... Comments URL: https://news.ycombinator.com/item?id=48618455 Points: 289 # Comments: 239 https://pulse-3k2.pages.dev/news/d51df295773b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3320be4d6715 2026-07-02 monthly 0.7 https://preview.redd.it/6wl700s1hm8h1.png?width=640&crop=smart&auto=webp&s=c2ef8ffae211997a527b03a18aa6c34d039c8dec Rollin' MiMo-2.5 on two Halo Strixeses Twas a very high effort post on two 128GB machines with 8060s, proxmox/containers, usb4net secondary link and a rocm llama.cpp built with a crowbar and a lot of swearing options. Not mentioning the ha https://pulse-3k2.pages.dev/news/83c34297933a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/120c38d69734 2026-07-02 monthly 0.7 https://cdn.prod.website-files.com/5c68622246b367adf6f3041d/60d97aab6fdf2731bde767e8_BAR_Web_OG-media-2021_1200_V2.png Beyond All Reason (Free Total Annihilation Inspired RTS) Article URL: https://www.beyondallreason.info Comments URL: https://news.ycombinator.com/item?id=48617990 Points: 221 # Comments: 104 https://pulse-3k2.pages.dev/news/45e42e2cc3a9 2026-07-02 monthly 0.7 https://preview.redd.it/6cff721ydm8h1.png?width=640&crop=smart&auto=webp&s=34680d99e70e62b71eafb4687ba9ba6ce6048f66 8-16 MI50s Minimax M3 @19 tps TG (peak) TL;DR Speeds are not too ugly for this old 2018 hardware but imo, not very usable for agentic coding (if you compare with qwen3.6 27B on 8 MI50 @ 50 tps TG 800 tps PP). More concerning is that the rea https://pulse-3k2.pages.dev/news/3a2f1a3fe35e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1a689a24fd55 2026-07-02 monthly 0.7 https://external-preview.redd.it/fzbusCnVMF6KiLx-XGEbOtJ2hfOGlk4ouLmg5Wsh_8c.png?width=640&crop=smart&auto=webp&s=fb342a515f360dfb611d261f135a028577e8e501 I released a softmax-free attention model at GPT-2 Medium scale (~354M params, 11.5B tokens): structural sparsity + tile-skipping kernels for long-context VRAM savings. Open weights + custom Triton kernels [R]   submitted by   /u/NonGameCatharsis [link]   [comments] https://pulse-3k2.pages.dev/news/0fb2a2389c73 2026-07-02 monthly 0.7 https://preview.redd.it/0l7gp83u6m8h1.png?width=640&crop=smart&auto=webp&s=07d22b2d1eef097d9678baef7e319af5a8017797 R9700 abysmal performance, getting desparate I've been trying to get my 2x R9700 setup to work for the past two weeks. This has been such a time sink I wish I had just gone with nvidia. At this point I'm close to selling the cards. I need vLLM. https://pulse-3k2.pages.dev/news/75151ad350f9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/72bb88756bc1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1dc1c71e80a5 2026-07-02 monthly 0.7 https://preview.redd.it/j05wxfvbel8h1.gif?width=640&crop=smart&s=357295dee64b74a52138bea1279bbac581b9537a Watch local LLMs escape the rooms you design Hello! I'd like to share my repo for WATCH MY ESCAPE: https://github.com/cjami/watch-my-escape It's an inverted escape room game where you design the maps and LLMs have to try to escape them. It uses https://pulse-3k2.pages.dev/news/0d75fdf99725 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a5fe7c40c8e3 2026-07-02 monthly 0.7 https://preview.redd.it/wxvhm0r1ml8h1.png?width=320&crop=smart&auto=webp&s=1f51ba7fcea8b5ff2db381777ccc0a5196f80af4 Gemma 4 QAT seems to respond significantly better to KV cache quantization KLD on wikitext with 16k context My hardware isn't up to testing 31B, if anyone else feels like investigating it would be interesting   submitted by   /u/rima_2711 [link]   [comments] https://pulse-3k2.pages.dev/news/4cf14987a0e6 2026-07-02 monthly 0.7 https://blog.apnic.net/wp-content/uploads/2026/04/50-percent_ft.jpg Google Hits 50% IPv6 Article URL: https://blog.apnic.net/2026/04/28/google-hits-50-ipv6/ Comments URL: https://news.ycombinator.com/item?id=48616800 Points: 225 # Comments: 230 https://pulse-3k2.pages.dev/news/07639c9a0412 2026-07-02 monthly 0.7 https://preview.redd.it/4plnpb7qdl8h1.jpeg?width=640&crop=smart&auto=webp&s=9c0789ef2f3a2a7b94e06ca3da190e834a33d144 Vercel CEO: "Almost shocked" by how good GLM-5.2 is at coding Guillermo Rauch (Vercel CEO) says he is "genuinely impressed, almost shocked" by GLM-5.2's coding performance. What has your experience with GLM-5.2 been so far? Source: X post   submitted by &#32 https://pulse-3k2.pages.dev/news/fbebae7107d7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a269a0fc9459 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c7dfa6eff1db 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/476cd0acd7d7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4e31804e9234 2026-07-02 monthly 0.7 https://www.sciencedaily.com/images/1920/serious-woman-upset-by-bad-news-on-smartphone.webp The brain was not designed for this much bad news Article URL: https://www.sciencedaily.com/releases/2026/06/260614012006.htm Comments URL: https://news.ycombinator.com/item?id=48615569 Points: 314 # Comments: 266 https://pulse-3k2.pages.dev/news/fc5d2fbc2ca2 2026-07-02 monthly 0.7 https://external-preview.redd.it/Y7kr-ujpNi_NV_-KZP8gR9IGJ5LFEIm8MhqUjQbixgs.png?width=640&crop=smart&auto=webp&s=37b003dcc7b34b116b24a76d4c01164d756542f2 [NEW MODEL] SupraLabs started the Any2Any model family! SupraLabs Supra-A2A-Nano-Exp - ~30M Any-to-Any Multimodal Transformer Status: Experimental / Educational Prototype 🚀 Overview Supra-A2A-Nano-Exp is a ~30M parameter autoregressive Transformer that un https://pulse-3k2.pages.dev/news/ce911aabb164 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ad77b846a4e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0db0155cce33 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7fdc72df421f 2026-07-02 monthly 0.7 https://fosterelli.co/image/social.jpg Developers don't understand CORS (2019) Article URL: https://fosterelli.co/developers-dont-understand-cors Comments URL: https://news.ycombinator.com/item?id=48614844 Points: 229 # Comments: 147 https://pulse-3k2.pages.dev/news/d8725a0193a9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8ebe21744923 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fb31ebb0fdc6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/33d6fe2dc805 2026-07-02 monthly 0.7 https://eugeneyan.com/assets/og_image/cybersecurity.png Patterns for Building Cybersecurity Evals A sandboxed target, inputs that influence task difficulty, tools, and a grader. https://pulse-3k2.pages.dev/news/91fd3b9a183c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e99ec9d2e8c9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ad4d9735773c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8d93eba0d14e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fdb47e4278ff 2026-07-02 monthly 0.7 https://ychef.files.bbci.co.uk/624x351/p0nssr23.jpg Renting a sewing machine from the library Article URL: https://www.bbc.com/future/article/20260618-the-weird-and-wonderful-libraries-of-finland Comments URL: https://news.ycombinator.com/item?id=48613755 Points: 205 # Comments: 105 https://pulse-3k2.pages.dev/news/9a5e2e141293 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c3fb9723381a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a0f4eac11200 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7c466a2255fe 2026-07-02 monthly 0.7 https://www.phoronix.net/image.php?id=2026&image=strncpy Linux eliminates the strncpy API after six years of work, 360 patches https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/lin... Comments URL: https://news.ycombinator.com/item?id=48612943 Points: 227 # Comments: 214 https://pulse-3k2.pages.dev/news/20bfeecb69d7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/03/meredith-whittaker-1.jpg?resize=1200,800 Signal’s Meredith Whittaker wants you to remember that AI chatbots ‘are not your friends’ "These are not your friends. These are not conscious beings. These are not sentient interlocutors.” https://pulse-3k2.pages.dev/news/795cad3c33f1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b09d6e6cb9d 2026-07-02 monthly 0.7 https://preview.redd.it/cro8236mvh8h1.png?width=640&crop=smart&auto=webp&s=f21946ccc80182720a6498aab670a6eeb1600998 Six months ago I turned down $8,165 for an RTX 6000 PRO. Today the same vendor is selling them for $11,575. Oh, hindsight.   submitted by   /u/__JockY__ [link]   [comments] https://pulse-3k2.pages.dev/news/abec0710ffac 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2021/10/GettyImages-1278815846.jpg?resize=1200,800 In the Weights is your new AI-centric vanity search So ... what's your In the Weights score? https://pulse-3k2.pages.dev/news/936fd986a42b 2026-07-02 monthly 0.7 https://external-preview.redd.it/61nDGz4T8XAsv_Juypf2t-UrwZIa9r_CJ3DVl1mBTt0.png?width=140&height=70&auto=webp&s=65d8655a4b5ead3ce67385e8dd305973952cdc86 Qwen code companion on vscode marketplace - thoughts I just came across this extension in vscode few days ago and tried to use with LM studio hosted models and it really is pretty good compared to `continue`, `kilo`, `cline`, `roo` like I felt without m https://pulse-3k2.pages.dev/news/da46081565c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0d3f23091026 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/37d1278c378d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0bd726225594 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cc2aecde0893 2026-07-02 monthly 0.7 https://preview.redd.it/0qfqkob1bh8h1.png?width=640&crop=smart&auto=webp&s=f65584c1e0a0abe0798168634cf9262ae1b66c01 Board where every tile is an agent I've been hacking a project which I find extremely useful and wanted to share. Imagine a board where every tile is an agent those job is to maintain the tile. I tried to illustrate the idea with a vid https://pulse-3k2.pages.dev/news/b07bfad8478d 2026-07-02 monthly 0.7 https://waxy.org/wp-content/uploads/2026/06/image-4.png The Wholesale Plagiarism of Obscure Sorrows Article URL: https://waxy.org/2026/06/the-wholesale-plagiarism-of-obscure-sorrows/ Comments URL: https://news.ycombinator.com/item?id=48611411 Points: 245 # Comments: 95 https://pulse-3k2.pages.dev/news/36e6999c40d7 2026-07-02 monthly 0.7 https://external-preview.redd.it/MWh3cnRiMGw0aDhoMUUFNcAzfDdy8mHA4rR2U-qwO9YPbmjKVRHYwVCG5Fud.png?width=640&crop=smart&auto=webp&s=fc1c7976466267d6d2baddf6b97a8a0ff4578c78 Deep Neural Network that can turn any Image into a Playable Game! BUT LOCALLY, NOT ON DATACENTER Hi everyone!! I really wanted to share my research what I've been working on. I wanted to build a nn that can simulate games, or at least start doing that Most video generators are too large to run on https://pulse-3k2.pages.dev/news/296db8522f71 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d92d61ae4b4c 2026-07-02 monthly 0.7 https://www.lispm.net/apps/uhf-x11/screenshot_1.jpeg UHF X11: X11 Built for VisionOS and Apple Vision Pro Article URL: https://www.lispm.net/apps/uhf-x11/ Comments URL: https://news.ycombinator.com/item?id=48610853 Points: 210 # Comments: 44 https://pulse-3k2.pages.dev/news/cbb04616396d 2026-07-02 monthly 0.7 https://www.smpte.org/hubfs/1920%20x%201080.jpg SMPTE Makes Its Standards Freely Accessible Article URL: https://www.smpte.org/blog/smpte-makes-its-standards-freely-accessible-openingstandards-library-to-the-global-media-technology-community Comments URL: https://news.ycombinator.com/item?id https://pulse-3k2.pages.dev/news/5c20d7be3258 2026-07-02 monthly 0.7 https://external-preview.redd.it/uv398bfX18yu7nOwYr1BvWXo17XA71mEA-OZaywzR94.png?width=640&crop=smart&auto=webp&s=712e935e0e7c861dbd7a322a30a29249b46c25fe Studying FLUX in diffusers library was hard, so I built a smaller open-source version [P] If you've tried to study modern diffusion models by digging through the official diffusers library, you know it can be overwhelming with its complexity and abstractions. I wanted to simplify FLUX diff https://pulse-3k2.pages.dev/news/e6463a219c0e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2f622a8d7dc7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/10/GettyImages-2148577076-e1728469833661.jpg?resize=1200,676 Nobel laureate John Jumper is leaving DeepMind for rival Anthropic Jumper isn't the only big name leaving Google DeepMind. https://pulse-3k2.pages.dev/news/80089f73b0e9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/93f2c8adb7c0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6e73f8724b84 2026-07-02 monthly 0.7 https://imgs.classicfm.com/images/822155?width=1200&crop=16_9&signature=X2RoP4BZMwNz6jsJSnu99XvmrC8= 22-year-old Mozart's handwritten notebook unearthed in 'major discovery' Article URL: https://www.classicfm.com/composers/mozart/handwritten-notebook-discovered-major-paris/ Comments URL: https://news.ycombinator.com/item?id=48610137 Points: 205 # Comments: 61 https://pulse-3k2.pages.dev/news/149e54e5edeb 2026-07-02 monthly 0.7 https://preview.redd.it/ef4owbxjkg8h1.png?width=640&crop=smart&auto=webp&s=ef96675f1b529e44f4c9e7d0ac8d25d2d33887d4 American businesses are using Chinese AI again? [N] https://econlab.substack.com/p/top-saas-vendors-on-ramp-june-2026   submitted by   /u/NoVillage8460 [link]   [comments] https://pulse-3k2.pages.dev/news/5b371b38d5bf 2026-07-02 monthly 0.7 https://external-preview.redd.it/uyYAMRdaY-avR7vgrYnpYErzefthmf_lM5vYqR3t3jg.jpeg?width=320&crop=smart&auto=webp&s=f0cc363e42e1fb0d3fa6b30957932458a9634c3a Hi Reddit, I posted my Build Your Own LLM workshop to Youtube teaching ML, LLM and math intuition [P] Hi internet friends, I recorded a workshop about building your own LLM without any math / ML prerequisites. It covers everything from machine learning fundamentals, deep neural networks, transformer a https://pulse-3k2.pages.dev/news/ea276b9cb541 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b86a85543982 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b3b4c383fb89 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9a24c9436510 2026-07-02 monthly 0.7 https://i2-prod.birminghammail.co.uk/article34141068.ece/ALTERNATES/s1200d/0_vpn.jpg VPN ban update for UK households as government looks at 'age-gate' Article URL: https://www.birminghammail.co.uk/news/midlands-news/vpn-ban-update-uk-households-34141063 Comments URL: https://news.ycombinator.com/item?id=48609385 Points: 209 # Comments: 213 https://pulse-3k2.pages.dev/news/39cba1355b91 2026-07-02 monthly 0.7 https://preview.redd.it/yy0tfjmm3g8h1.png?width=640&crop=smart&auto=webp&s=83f9551b883b586603ce35df538e54a3cc96f6a0 z.AI as the number 2 gives praise to the number 1 open source model   submitted by   /u/Charuru [link]   [comments] https://pulse-3k2.pages.dev/news/0e545f5fcb1a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f9e2446796f1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/03f96fed6f21 2026-07-02 monthly 0.7 https://external-preview.redd.it/MTNreXQ5M3JxZjhoMSsDURpSQstrK9kfFF4vimIz_4nsRj3Nc4wp7b5BYEtE.png?width=640&crop=smart&auto=webp&s=6a34641994c8a5d88e831d4973185c1349db11b3 Research Project: Injecting Natural-Language Tactical Intent into Multi-Agent Football Policies Human Intent as a Control Interface for Multi-Agent Systems I've been exploring a project called Football Tactical AI . The idea is simple: Instead of directly controlling players, a human acts as a c https://pulse-3k2.pages.dev/news/f23cbeaa98d0 2026-07-02 monthly 0.7 https://preview.redd.it/7hfqydz8mf8h1.png?width=640&crop=smart&auto=webp&s=70ae39b51e6237d36117c7132dab0cf342f5ea7a [GLM 5.2 UD IQ2_M] That's the best pelican svg image I have ever seen Computer Specs: rtx 5090 + rtx 3090 (x8 x8 bifurcated) Gigabyte AI TOP B850 Motherboard Ryzen 9950x3d 256gb DDR5 5600 (4x64gb) I didn't have high hopes because of the low quant but damn. This model is https://pulse-3k2.pages.dev/news/3044c6d977b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d24068e416a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/74bfe2486c1c 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/6ba492ddc305452d477cbe986b8b6e2823b89adca8a745fba29d4ba0aa7f22de/mysk-research/loupe Loupe – A iOS app that raises awareness about what native apps can see Article URL: https://github.com/mysk-research/loupe Comments URL: https://news.ycombinator.com/item?id=48608645 Points: 238 # Comments: 65 https://pulse-3k2.pages.dev/news/c159a83e4ee4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bb18e1c83ecd 2026-07-02 monthly 0.7 https://townsquare.cauenapier.com/screenshots/2.png Show HN: TownSquare, a tiny presence layer for websites https://cauenapier.com/blog/townsquare_release/ https://cauenapier.com/blog/townsquare/ Comments URL: https://news.ycombinator.com/item?id=48608570 Points: 209 # Comments: 116 https://pulse-3k2.pages.dev/news/7e2cf3a9cab3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/21b28d7c945a 2026-07-02 monthly 0.7 https://cf-assets.www.cloudflare.com/zkvhlag99gkb/60PB1NmcYFywT5TDlwDR0v/a9e72c980e108702e00b57343ea1ccb2/OG_Share_2024-2025-2026__39_.png Temporary Cloudflare accounts for AI agents Article URL: https://blog.cloudflare.com/temporary-accounts/ Comments URL: https://news.ycombinator.com/item?id=48608394 Points: 203 # Comments: 106 https://pulse-3k2.pages.dev/news/65880c4f1369 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/02f8249430bf 2026-07-02 monthly 0.7 https://external-preview.redd.it/7Yk-dVZdsxRAQqEO5ORd7NEfPMoyhS_r0yWYVqTgq68.png?width=140&height=73&auto=webp&s=a0dddb8d7ddd01622ed54c9914776b0469a188ad DVD-JEPA: an open-source, fully-reproducible JEPA world model [P] A paper currently trending on paperswithcode.co in the "Anomaly Detection" category is DVD-JEPA . https://i.redd.it/r6fd8n3d4f8h1.gif Here is the short summary: Most attempts to learn a world model fr https://pulse-3k2.pages.dev/news/eb7a06e8d4f3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b78229535b32 2026-07-02 monthly 0.7 https://preview.redd.it/oxypp2j1ye8h1.png?width=140&height=58&auto=webp&s=a7827e36b4540e1063af96f0d6b7d5b374826180 Worlds Biggest Chat Title Dataset From SupraLabs If you search "Chat title dataset" on huggingface a few dys ago, the biggest chat title dataset you would get from it was "ogrnz/chat-titles", but recently at supralabs we have curated a 115K filtered https://pulse-3k2.pages.dev/news/ee2538dae3f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8b01b991faea 2026-07-02 monthly 0.7 https://preview.redd.it/m15f9n8rge8h1.jpeg?width=640&crop=smart&auto=webp&s=7f567ea844df4addfbcb705f1988e5b1fe3ac677 Time Series Modeling Needs a Dynamical Systems Perspective [R] In our #ICML2026 position paper we argue a dynamical systems perspective is needed to drive time series (TS) modeling forward: https://arxiv.org/abs/2602.16864 Essentially all time series in nature an https://pulse-3k2.pages.dev/news/66a8d1b72b0a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f0afc4060289 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4caa196b3a58 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/850e62721534 2026-07-02 monthly 0.7 https://external-preview.redd.it/vxL3J4B1cStZzAInWQ5D4gqyaUYke8i4-GOuqdek2Vw.png?width=140&height=73&auto=webp&s=d484efdefc2f79b158ceffc4b991b53ed1cf183f GLM 5.2: 98% of max level intelligence with less than half of tokens usage According to this number of reasoning tokens from GLM 5.1 to GLM 5.2 more than doubled from 16.7k to 36.7k and for me as a local user with old junk Xeon setup this makes GLM 5.2 unusable to the extent https://pulse-3k2.pages.dev/news/b6eb1f8af684 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!XmzS!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F53ab5745-2cb8-4b37-b574-e6af9fa01f69_1854x1166.png [AINews] not much happened today a quiet day lets us promo AIE one last time https://pulse-3k2.pages.dev/news/9e366ad64983 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9f76a187f7f0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7899ce7064d9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ba51152be9df 2026-07-02 monthly 0.7 https://preview.redd.it/xrgj4u64dd8h1.png?width=140&height=79&auto=webp&s=6a46cb4591cc826dfa778b7f75333535ebfb818f AMD future GPU offerings. Some interesting offerings for a LLM build. What type of LLM rig would you build with these? https://preview.redd.it/xrgj4u64dd8h1.png?width=1287&format=png&auto=webp&s=2a63e8ea1c6aadf7b61b5820a148a5413a2d7d74 From: https://www.youtube.com/watch?v=U8xBkDBVjPM&t=1459s   submitted by   https://pulse-3k2.pages.dev/news/698e964869e6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cda53560bf17 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f4c1eddab497 2026-07-02 monthly 0.7 https://labs.iximiuz.com/content/files/tutorials/ssh-tunnels/__static__/ssh-tunnels-cheat-sheet.png A Practical Guide to SSH Tunnels: Local and Remote Port Forwarding Article URL: https://labs.iximiuz.com/tutorials/ssh-tunnels Comments URL: https://news.ycombinator.com/item?id=48606222 Points: 284 # Comments: 57 https://pulse-3k2.pages.dev/news/92af59a8295a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c42416b108c9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c391bdbe1fe2 2026-07-02 monthly 0.7 https://moultano.wordpress.com/wp-content/uploads/2026/06/pxl_20260509_0046574427e2_20260618192953.jpg Where to Find the Colors Your Screen Can't Show You Article URL: https://moultano.wordpress.com/2026/06/19/where-to-find-the-colors-your-screen-cant-show-you/ Comments URL: https://news.ycombinator.com/item?id=48606140 Points: 211 # Comments: 51 https://pulse-3k2.pages.dev/news/8ea490f0e45c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/100870271d15 2026-07-02 monthly 0.7 https://preview.redd.it/e4nvhjmksc8h1.png?width=640&crop=smart&auto=webp&s=33909b5c78463eeba566bb985862af25142566ee RTX 5090 MSI, only inference or training at 475-500W. Make sure to not bend you cable! I run this MSI 5090 at 475-500W daily, for mostly diffusion training, or LLM inference. Just by chance I decided to check the cable today and found this. No issues, errors or anything, just all by cha https://pulse-3k2.pages.dev/news/aa4dcbfcd0b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/11fd01403306 2026-07-02 monthly 0.7 https://lmao.center/blog/wiggle-accidents/i/wg_sc2-d500.gif Help I accidentally a wigglegram Article URL: https://lmao.center/blog/wiggle-accidents/ Comments URL: https://news.ycombinator.com/item?id=48605561 Points: 200 # Comments: 32 https://pulse-3k2.pages.dev/news/8c6ca5b14b4f 2026-07-02 monthly 0.7 https://external-preview.redd.it/RPzum2GJFrcIjADRks2qX7Tm3QZqKWK30__dGu0ne4M.jpeg?width=640&crop=smart&auto=webp&s=ada610f8b5f179e17a8c9ab158465accf82c3b91 I benchmarked Claude's "Fast C++". It wasn't faster   submitted by   /u/User_Deprecated [link]   [comments] https://pulse-3k2.pages.dev/news/4505a768de0e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4ad948ba1093 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3fb81346af96 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/812a4c1800d0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9370d60ff069 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b42675c02c0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/donald-trump-open-mouth.jpg?resize=1200,800 Encryption, spyware, and now Mythos: History shows why cyber export control doesn’t work For the last 30 years, stopping the flow of cybersecurity-related software has proven to be ineffective. It's unclear why it would work now with Anthropic’s cybersecurity model Mythos. https://pulse-3k2.pages.dev/news/1e0700d6c3e3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b5af130cdaaa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8ad16a8ae1c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/698d0d443d69 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/75beb200859d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/81487faff1af 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/87c3a6c3f060 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/59c5ebea78e8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/be00eaa1ef99 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20529/gradient.png LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents Abstract LEDGERAGENT is a method for customer service agents that maintains task states in a separate ledger to improve policy adherence and state management during tool calling. Generated by Qwen/Qwe https://pulse-3k2.pages.dev/news/3666e701cd9b 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT_Modeling-Metals-01a-press.jpg?itok=jBfWLvPh A better way to model the behavior of metal alloys MIT researchers’ approach captures subtle atomic patterns, improving predictions of material properties. https://pulse-3k2.pages.dev/news/c233fb76b657 2026-07-02 monthly 0.7 https://www.eff.org/files/banner_library/intermediary-4.jpg A new bill takes aim at government pressure to silence lawful online speech Article URL: https://www.eff.org/deeplinks/2026/06/new-bill-takes-aim-government-pressure-silence-lawful-online-speech Comments URL: https://news.ycombinator.com/item?id=48600950 Points: 205 # Comment https://pulse-3k2.pages.dev/news/87ea8c4539b0 2026-07-02 monthly 0.7 https://www.eff.org/files/banner_library/supreme-court-3b.jpg Court Records Should Be Free Article URL: https://www.eff.org/deeplinks/2026/06/court-records-should-be-free Comments URL: https://news.ycombinator.com/item?id=48600946 Points: 244 # Comments: 42 https://pulse-3k2.pages.dev/news/907c6484c39f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/73348158039f 2026-07-02 monthly 0.7 https://i0.wp.com/stratechery.com/wp-content/uploads/2026/06/GettyImages-2281474623.jpg?resize=1700%2C1133&ssl=1 2026.25: The Stuff of Myth(os) The best Stratechery content from the week of June 15, 2026, including Anthropic, e-commerce in the age of AI, and the NBA Finals being a perfect 10. https://pulse-3k2.pages.dev/news/e8be7f86224d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19534/gradient.png PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models Abstract PerceptionDLM enables efficient parallel region perception in multimodal diffusion language models through structured attention masking and efficient prompting, achieving faster inference wit https://pulse-3k2.pages.dev/news/5c7875f458c3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b8fdd872a96f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bfa007495dfa 2026-07-02 monthly 0.7 https://tales.fromprod.com/static/2026-06-18-google-workspace-threatening-to-block-firefox/warning-screen.png Google workspace threatening to block Firefox access Article URL: https://tales.fromprod.com/2026/169/google-workspace-threatening-to-block-firefox.html Comments URL: https://news.ycombinator.com/item?id=48600345 Points: 227 # Comments: 76 https://pulse-3k2.pages.dev/news/65ef1642e740 2026-07-02 monthly 0.7 https://startupfortune.com/wp-content/uploads/2026/06/sf-14065-1781845702426.jpg Hyundai buys Boston Dynamics Article URL: https://startupfortune.com/hyundai-takes-full-control-of-boston-dynamics-as-softbank-exits-for-325-million/ Comments URL: https://news.ycombinator.com/item?id=48600312 Points: 227 # Comme https://pulse-3k2.pages.dev/news/efa85c13f926 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c7daabe10ef1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bf1f25204e45 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a72532f8748c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/04/GettyImages-2269811684.jpg?w=1024 Is the US government’s Anthropic ban accidentally helping the brand? Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedl https://pulse-3k2.pages.dev/news/dafd73bf13f6 2026-07-02 monthly 0.7 https://aiclambake.com/images/og-default.png Amateur may have cracked Linear A, a 120-year-old puzzle Article URL: https://aiclambake.com/clamtakes/linear-a/ Comments URL: https://news.ycombinator.com/item?id=48600107 Points: 247 # Comments: 109 https://pulse-3k2.pages.dev/news/0e0e6d7f7180 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/92f9bd3a5ce3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8859f4a246e7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Dario-2280291125.jpg?w=1024 The US banned Anthropic’s Fable 5 release, but the numbers don’t seem to care Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedl https://pulse-3k2.pages.dev/news/3c538b4fb66e 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/architecture.png?resize=1024%2C753 How we built an internal data analytics agent Qubot, our internal Copilot-powered analytics agent, allows any GitHub employee to ask questions about our data in plain language. Here's what we learned as we built it. The post How we built an inter https://pulse-3k2.pages.dev/news/4fc30ae69824 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17053/gradient.png Context-Aware RL for Agentic and Multimodal LLMs Abstract ContextRL enhances long-horizon reasoning and multimodal performance through reinforcement learning that rewards context selection for supporting query-answer pairs, achieving improvements ov https://pulse-3k2.pages.dev/news/257bc251bbdf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/df1c5149bfe7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/28982f82729c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f6c59777d684 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19334/gradient.png Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States Abstract A comprehensive corpus and access layer for U.S. local ordinance codes has been developed to enable machine-readable legal AI research, addressing the lack of authoritative legal text at scal https://pulse-3k2.pages.dev/news/bc221b0c49cb 2026-07-02 monthly 0.7 https://preview.redd.it/8b0vm62ke98h1.jpeg?width=640&crop=smart&auto=webp&s=9fb86f5b1b137492173520373e8b6b25ef18a05d The economics of AI are starting to favor open models For the last couple of years, the assumption was pretty simple: Want the smartest model? Pay for a closed API. Want something cheaper? Accept a capability hit. Looking at recent model releases, that t https://pulse-3k2.pages.dev/news/07be0e0c112b 2026-07-02 monthly 0.7 https://preview.redd.it/d9ub1x7xc98h1.png?width=140&height=140&crop=1:1,smart&auto=webp&s=ff23d4f905a47cb921bb430deb559fcff94ac706 LQ50-24 English translate here the full English using google translate for you guy   submitted by   /u/MundanePercentage674 [link]   [comments] https://pulse-3k2.pages.dev/news/317002a5314d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/02/reliance-mukesh-ambani.jpg?resize=1200,800 Billionaire Ambani wants AI in every call, app, and home Reliance is weaving AI into telecom services used by more than 500 million people. https://pulse-3k2.pages.dev/news/18664f74e957 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2603.24624/gradient.png ReSyn: A Generalized Recursive Regular Expression Synthesis Framework Abstract A divide-and-conquer framework named ReSyn enhances regex synthesis accuracy by decomposing complex problems, combined with a parameter-efficient synthesizer called Set2Regex that handles exa https://pulse-3k2.pages.dev/news/3e40a4ead044 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18021/gradient.png LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI Abstract LegalHalluLens audits AI systems in legal workflows by identifying specific error patterns and directional biases in hallucinations across different claim types, enabling more reliable deploy https://pulse-3k2.pages.dev/news/af1194e4bee6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9ca556b09308 2026-07-02 monthly 0.7 https://taoofmac.com/media/blog/2026/06/18/1845/ycjiz2cThuEG3Atzjdf7MbCVX6w=/microvm-vs-lxc-vs-vm.svg Running MicroVMs in Proxmox VE, the Easy Way Article URL: https://taoofmac.com/space/blog/2026/06/18/1845 Comments URL: https://news.ycombinator.com/item?id=48599555 Points: 204 # Comments: 38 https://pulse-3k2.pages.dev/news/a16a8248af17 2026-07-02 monthly 0.7 https://overreacted.io/there-are-no-instances-in-atproto/opengraph-image?5b0b970dfd19bb8c There are no instances in ATProto Article URL: https://overreacted.io/there-are-no-instances-in-atproto/ Comments URL: https://news.ycombinator.com/item?id=48599515 Points: 290 # Comments: 170 https://pulse-3k2.pages.dev/news/ecc901b8b9d7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19602/gradient.png Configurable Clinical Information Extraction with Agentic RAG: What Works, What Breaks, and Why Abstract ACIE, an agentic RAG system deployed in a clinical setting, demonstrates high accuracy in extracting medical information from complex patient contexts, achieving 96.5% acceptance rate by nucl https://pulse-3k2.pages.dev/news/3877afbe4673 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15760/gradient.png The Data Manifold under the Microscope Abstract A benchmarking framework is introduced to study data-manifold geometry by extending dSprites and COIL-20 datasets with additional transformation dimensions and dense sampling, enabling accura https://pulse-3k2.pages.dev/news/851ca5b57965 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20536/gradient.png The FID Lottery: Quantifying Hidden Randomness in Generative-Model Evaluation Abstract Analysis of FID variance across different training and sampling seeds reveals significant reproducibility issues in image generation evaluation, with retraining causing larger fluctuations th https://pulse-3k2.pages.dev/news/6cf55c70b340 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!nfKN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6e92f258-741c-4a64-88f5-dd15b9049bdd_1024x1024.jpeg Claude Fable 5 and Mythos 5: Capabilities Only three days after the release of Claude Fable 5, Anthropic was forced by the United States Government to make it unavailable, when a jailbreak was brought to its attention, rather than the previou https://pulse-3k2.pages.dev/news/47495acf5a7f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/060fd8413985 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d7790a734a26 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6a758af901b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/22dcb7fcbb5e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8e5e1e3ca284 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f283af932eb7 2026-07-02 monthly 0.7 https://external-preview.redd.it/bTlkb201OXdnODhoMQLQ6d8st2IrmTL5uQgLqD1jsi8M4GPgep8nN9rI7Gyc.png?width=640&crop=smart&auto=webp&s=86a321c57a17f7b93df56245ae8bd12bb9b6d892 What's more impressive, GLM 5.1 -> 5.2 or Qwen 3.5 -> 3.6? Write a single HTML file with a full-page canvas and no libraries. Simulate a realistic Döner Style kebab skewer rotating (vertically) in front of a gas powered heating element. Mentioning Döner activ https://pulse-3k2.pages.dev/news/3895bdcd65e1 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/2cf763f4-5f1e-47ec-b6e1-b14a69443d00_3182x1790.png Banning Open Source AI Would Be A Mistake This post was originally an op-ed co-authored with Kevin Xu of Interconnected for a general, non-technical audience. https://pulse-3k2.pages.dev/news/e170b2aaad12 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Nadia-Carlsten-HS.png?w=1024 The CEO of Allbirds’ new AI biz has a plan, but no employees Call it a startup with a sole founder and a very large seed round, but what's next is less clear. https://pulse-3k2.pages.dev/news/9f1c9b92e5b8 2026-07-02 monthly 0.7 https://preview.redd.it/i69vee9mi88h1.png?width=140&height=138&auto=webp&s=d18487856d347a5a85dadaf846f04f9c9972fa4b Is my CPU and RAM too weak/ lees for local LLMs? Both are going 100% for simple test prompts. GPU is not getting used fully. In theory quen3.5:9b should fit and run on RTX3050 8 GB comfortably. https://preview.redd.it/i69vee9mi88h1.png?width=1592&format=png&auto=webp&s=820720e8a3e1d5386d49119a235e2902acc13265 I am very new to this local llm world. Just started to exploring from past 3days. S https://pulse-3k2.pages.dev/news/444055b8cd42 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/770e4b7eb61a 2026-07-02 monthly 0.7 https://external-preview.redd.it/br2lSBapukS1-SpxHqZLiRDYFoObg5xwpKU4LYKNyXA.jpeg?width=640&crop=smart&auto=webp&s=3646758c86913f0feaa08b9580e3018433f047be GLM-5.2 is the new leading open weights model on the Artificial Analysis Intelligence Index   submitted by   /u/pscoutou [link]   [comments] https://pulse-3k2.pages.dev/news/142bc698c518 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/37cc5b95701c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9da238ec7e29 2026-07-02 monthly 0.7 https://blog.dahl.dev/ My Mathematical Regression Article URL: https://blog.dahl.dev/posts/my-mathematical-regression/ Comments URL: https://news.ycombinator.com/item?id=48597221 Points: 221 # Comments: 76 https://pulse-3k2.pages.dev/news/be84215cc5ee 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2603.11273/gradient.png Duration Aware Scheduling for ASR Serving Under Workload Drift Abstract Duration-aware scheduling policies improve ASR serving latency by leveraging audio length as a predictor for processing time, with SJF and HRRN algorithms showing significant median latency r https://pulse-3k2.pages.dev/news/45a6bc933af7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0201cd05b003 2026-07-02 monthly 0.7 https://preview.redd.it/9xcqvw4ny78h1.png?width=640&crop=smart&auto=webp&s=05cfa185a68113c44c5d17e79359162874d6a2b5 New Agentic Benchmark Out: Claude Fable and GLM 5.2 Top Their Cohorts You can read about it here: https://artificialanalysis.ai/articles/aa-briefcase This is a solid benchmark from Artificial Analysis. It basically tests an LLMs ability to plan and execute tasks. And mo https://pulse-3k2.pages.dev/news/bd056869a29b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/be4a4c672b0f 2026-07-02 monthly 0.7 https://external-preview.redd.it/tNg5PbaYuQHL8Z0cGphvdHaW0XqqMMXkJd7LQP6dbAU.png?width=640&crop=smart&auto=webp&s=bed4f88ffcaffa0d4f837970374504d4ab128b18 spec: support eagle3 for qwen3.5 & 3.6 by ruixiang63 · Pull Request #24593 · ggml-org/llama.cpp let's try is it better than MTP   submitted by   /u/jacek2023 [link]   [comments] https://pulse-3k2.pages.dev/news/e0229752a032 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20381/gradient.png Rethinking Shrinkage Bias in LLM FP4 Pretraining: Geometric Origin, Systemic Impact, and UFP4 Recipe Abstract Uniform 4-bit training with RHT-based quantization outperforms E2M1-based methods by eliminating shrinkage bias and improving training stability across large language model architectures. Gen https://pulse-3k2.pages.dev/news/42feefbb9a2f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20517/gradient.png Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages Abstract Multi-LCB addresses the limitation of LiveCodeBench by providing a multi-language benchmark for evaluating LLMs across twelve programming languages while maintaining contamination controls an https://pulse-3k2.pages.dev/news/de6b4e142c9a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/da54545f329c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f7433348896c 2026-07-02 monthly 0.7 https://plotnine.org/homepage/features/img/sneak.png Plotnine Article URL: https://plotnine.org/ Comments URL: https://news.ycombinator.com/item?id=48596488 Points: 208 # Comments: 64 https://pulse-3k2.pages.dev/news/a3f633a9ea6c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16827/gradient.png No Resource, No Benchmarks, No Problem? Evaluating and Improving LLMs for Code Generation in No-Resource Languages Abstract Research addresses code generation challenges for no-resource programming languages by developing benchmarks and proposing a method that combines further pre-training with weight difference t https://pulse-3k2.pages.dev/news/3d5182eb33b2 2026-07-02 monthly 0.7 https://preview.redd.it/hdrqhare878h1.png?width=640&crop=smart&auto=webp&s=1207b6e96b3fa00c41dc3254251976b3a01467cb Researchers trained a Deep Research agent with 32 H100s and open-sourced everything Ohio State University's NLP team released QUEST-35B, an open-source Deep Research agent trained using ~32 H100s and ~8K synthetic samples. The team open-sourced the training recipe, code, weights and https://pulse-3k2.pages.dev/news/3339d19f5003 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5f7cdcd88f40 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19830/gradient.png JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines Abstract Game development frameworks and benchmarks were created using data from game jam competitions to evaluate code generation and project-level programming capabilities. Generated by Qwen/Qwen2.5 https://pulse-3k2.pages.dev/news/1f3b7c726d30 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19531/gradient.png ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing? Abstract ImageWAM demonstrates that pretrained image editing models can effectively replace video generation in world action models for robot control, achieving better performance with reduced computa https://pulse-3k2.pages.dev/news/881200170e1f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19980/gradient.png ENPIRE: Agentic Robot Policy Self-Improvement in the Real World Abstract ENPIRE framework enables autonomous robotics research through a closed-loop system that automates policy improvement via environment feedback, policy refinement, and evolutionary code optimiz https://pulse-3k2.pages.dev/news/5b735933a294 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20083/gradient.png Holo-World: Unified Camera, Object and Weather Control for Video World Model Abstract A unified controllable video world model generates videos from a single image while preserving scene structure and transferring to target weather states through specialized parameterization a https://pulse-3k2.pages.dev/news/73a16db15fb7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20545/gradient.png Current World Models Lack a Persistent State Core Abstract Current world models fail to maintain consistent world states when unobserved, indicating a need for design changes that prioritize physical state stability over appearance fidelity. Generate https://pulse-3k2.pages.dev/news/8b3d7e4eb2f2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16429/gradient.png Taylor-Calibrate: Principled Initialization for Hybrid Linear Attention Distillation Abstract Hybrid linear attention models can be improved through a novel initialization technique that enhances conversion from pretrained Transformers by leveraging teacher attention statistics and al https://pulse-3k2.pages.dev/news/260212e25527 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/GettyImages-2250757778.jpg?resize=1200,800 The US says ASML’s top chip tool may be in China. ASML says it isn’t There's a commercial logic that cuts against the idea that ASML would risk its export license to arm a Chinese customer. https://pulse-3k2.pages.dev/news/6e8028de5791 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5f9ead6e1be6 2026-07-02 monthly 0.7 https://preview.redd.it/3hzm5bu8078h1.jpeg?width=640&crop=smart&auto=webp&s=6629b2c33de56c2f3492a28d93aede6ca8917d8c GLM-5.2 can now run locally in llama.cpp and Unsloth Studio. The 2-bit model retains ~82% accuracy after we shrunk it from 1.51TB to 238GB (-84% size). Run on a 256GB Mac or RAM/VRAM setups. GLM-5.2 is the strongest open model to date. Check the graph for the a https://pulse-3k2.pages.dev/news/1de44339a27a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4dfbea416f90 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20404/gradient.png FlowBender: Feedback-Aware Training for Self-Correcting Conditional Flows Abstract FlowBender is a closed-loop framework that addresses constraint satisfaction in diffusion and flow models by training networks to correct alignment errors using inference-time feedback, outpe https://pulse-3k2.pages.dev/news/5bb703a3829c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15133/gradient.png DragMesh-2: Physically Plausible Dexterous Hand-Object Interaction with Articulated Objects Abstract DragMesh-2 enables dexterous hand-object interaction through contact-driven manipulation, with PICA enhancing robustness under varying contact loads without tactile feedback. Generated by Qwe https://pulse-3k2.pages.dev/news/9803e4b8cfd3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20521/gradient.png HumanScale: Egocentric Human Video Can Outperform Real-Robot Data for Embodied Pretraining Abstract Egocentric human video can effectively replace teleoperated robot trajectories for embodied model pretraining, achieving better performance with reduced data collection costs. Generated by Qw https://pulse-3k2.pages.dev/news/7de9ae778e16 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2533c9cdd04a 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!3GhD!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4d9124f8-8a73-453b-88e2-7df5c98022ec_1920x1080.png Project Valhalla, Explained: How a Decade of Work Arrives in JDK 28 Article URL: https://www.jvm-weekly.com/p/project-valhalla-explained-how-a Comments URL: https://news.ycombinator.com/item?id=48595511 Points: 200 # Comments: 86 https://pulse-3k2.pages.dev/news/a3d0059756b7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b8eb32a7612b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2604.13416/gradient.png DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis Abstract A large-scale real-world dataset called DF3DV-1K is introduced to address the lack of clean and cluttered image sets for distractor-free radiance field research, containing 1,048 scenes with https://pulse-3k2.pages.dev/news/6d24eda6f485 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!bxEo!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F96e55c58-9f9d-4573-af94-501283bf9161_814x636.png [AINews] GLM > GPT? GLM-5.2 passes vibe check; Z.ai forecasts Open Fable by December With GLM-5.2 passing everyone's vibe check, the open models story finally becomes a real frontier story. https://pulse-3k2.pages.dev/news/d1f3f0d2831e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/366bb322ae09 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19419/gradient.png Playful Agentic Robot Learning Abstract Embodied robots learn reusable skills through self-directed play and exploration, then apply these skills to improve performance on downstream tasks without additional training. Generated by https://pulse-3k2.pages.dev/news/fca065140f57 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Computational Identifiability arXiv:2606.19361v1 Announce Type: new Abstract: Identification conditions describe the computability of a target query or parameter of interest as a function of the type and amount of information avai https://pulse-3k2.pages.dev/news/b2bf8889d443 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When to Trust, How to Distill: Multi-Foundation Model Guidance for Lightweight, Robust Scientific Time Series Forecasting arXiv:2606.19363v1 Announce Type: new Abstract: The deployment of Time-Series Foundation Models (TSFMs) in physical sciences is hindered by a critical trade-off: while these models encode rich, univer https://pulse-3k2.pages.dev/news/10c3095ed791 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closing the Social-Semantic Gap: SPSD for Edge-Based Prompt Compression in Cloud LLM Inference arXiv:2606.19364v1 Announce Type: new Abstract: The prefill stage of Large Language Model (LLM) inference is a growing contributor to cloud-scale energy cost. Many consumer-support and conversational https://pulse-3k2.pages.dev/news/7f6c7919c2ce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Performance Analysis and Optimization of 3D Generative Diffusion Models across GPU Architectures arXiv:2606.19365v1 Announce Type: new Abstract: Diffusion models have become essential for high-fidelity 3D MRI synthesis, yet their deployment remains constrained by substantial GPU resource demands https://pulse-3k2.pages.dev/news/f530f1b9bbd1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information Lattice Learning as Probabilistic Graphical Model Structure Learning arXiv:2606.19366v1 Announce Type: new Abstract: Information lattice learning (ILL) learns interpretable rules of a signal by alternately projecting the signal onto a partition lattice that encodes a h https://pulse-3k2.pages.dev/news/bfc1bc28745a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Weibull Weight-Scale Parameter Evolution under AdamW Training Dynamics arXiv:2606.19367v1 Announce Type: new Abstract: Building on a two-parameter Weibull framework for diagnosing transformer weight distributions, we study why the Weibull weight-scale parameter $\lambda$ https://pulse-3k2.pages.dev/news/3db4b770f747 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms arXiv:2606.19369v1 Announce Type: new Abstract: Estimation-of-distribution algorithms (EDAs) are a powerful class of evolutionary methods for black-box optimization, especially when little is known ab https://pulse-3k2.pages.dev/news/527ef23d7a7e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Human-like autonomy emerges from self-play and a pinch of human data arXiv:2606.19370v1 Announce Type: new Abstract: Self-play reinforcement learning has recently emerged as a way to train driving policies without any human data. It uses cheap, large-scale simulations https://pulse-3k2.pages.dev/news/fb00dd9a52a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification arXiv:2606.19371v1 Announce Type: new Abstract: Alzheimer's disease (AD) is a fatal disorder that destroys memory and cognitive skills in the elderly population. Most treatments for AD are effective i https://pulse-3k2.pages.dev/news/5216f1385706 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png cAPM: Continual AI-Assisted Pace-Mapping with Active Learning arXiv:2606.19373v1 Announce Type: new Abstract: Ventricular tachycardia is a life-threatening rhythm disorder and a major cause of sudden cardiac death. Pace-mapping is a clinical procedure for identi https://pulse-3k2.pages.dev/news/b37951ef941f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs arXiv:2606.19374v1 Announce Type: new Abstract: Graph-based representations are widely used in protein modeling, yet many existing approaches rely primarily on sequence adjacency or geometric proximit https://pulse-3k2.pages.dev/news/d3a43d742cb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Informed Discovery of Yield Functions in Plasticity via Convex Neural Representations arXiv:2606.19375v1 Announce Type: new Abstract: Identifying anisotropic yield functions remains challenging since yielding is not directly observed in full-field mechanical measurements, directional c https://pulse-3k2.pages.dev/news/83e1edcd7d9a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees arXiv:2606.19376v1 Announce Type: new Abstract: Inference costs for large language model (LLM) applications are rapidly growing, driven by surging demand and rising infrastructure cost. Users expect h https://pulse-3k2.pages.dev/news/dfb1ccdecf87 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Emyx: Fast and efficient all-atom protein generation arXiv:2606.19377v1 Announce Type: new Abstract: Computational enzyme design requires generating proteins that scaffold catalytic residues and ligands, a task that demands both geometric accuracy and s https://pulse-3k2.pages.dev/news/b1ad372e3709 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Hybrid GNN-FEM Framework for Phase-Field Fracture Simulation. Physics-Preserving Hybridization for Generalizable Surrogate Modeling arXiv:2606.19378v1 Announce Type: new Abstract: Scientific machine learning (SciML) has emerged as a promising approach for accelerating simulations of complex physical systems, yet achieving physical https://pulse-3k2.pages.dev/news/b7567dc34dc9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Linear Is a Transformer Feed-Forward Block? Per-Block Linear Recoverability Is Learned, Not Architectural arXiv:2606.19379v1 Announce Type: cross Abstract: Transformer feed-forward networks (FFNs) are often treated as nonlinear stores of computation, yet how nonlinear a trained FFN block actually is has r https://pulse-3k2.pages.dev/news/faa4312742be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VERITAS: Verifier-Guided Proof Search for Zero-Shot Formal Theorem Proving arXiv:2606.19399v1 Announce Type: new Abstract: LLM-based formal provers often collapse rich verifier signals (syntax errors, type mismatches, partial goal progress) into a binary pass/fail bit. We pr https://pulse-3k2.pages.dev/news/cecba32d87fa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models arXiv:2606.19404v1 Announce Type: cross Abstract: Hallucination detection in large language models (LLMs) is deployment-critical, and recent work shows that the spectrum of attention-derived graph Lap https://pulse-3k2.pages.dev/news/5cf2921d650d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FlexLAM: Resolving the Bottleneck Trade-off in Latent Action Learning arXiv:2606.19408v1 Announce Type: new Abstract: Latent actions provide a compact interface between action-free video and downstream decision-making, yet existing Latent Action Models (LAMs) force ever https://pulse-3k2.pages.dev/news/d612c15f6a97 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spectral DPPs via NEPv: A Scalable Continuous Relaxation of Determinantal MAP for Diversity-Aware Data Selection arXiv:2606.19411v1 Announce Type: new Abstract: Selecting a small, diverse, high-quality subset from a massive pool of candidates is a recurring primitive in modern machine learning -- data curation a https://pulse-3k2.pages.dev/news/497312cb5c7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spectral Retrieval-Augmented Time-Series Forecasting arXiv:2606.19412v1 Announce Type: new Abstract: Time series forecasting leverages historical patterns to predict future values, but traditional methods face challenges when dealing with complex, non-s https://pulse-3k2.pages.dev/news/3c2395d0b9b8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does Text Actually Help? Uncovering and Resolving Text Collapse in Multimodal Time Series Forecasting arXiv:2606.19413v1 Announce Type: new Abstract: Multimodal time series forecasting, which pairs numerical sequences with domain-relevant textual reports, promises to inject world knowledge into foreca https://pulse-3k2.pages.dev/news/b82b66b1f9bc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MortarBench: Evaluating Mortgage Loan Origination Agents arXiv:2606.19416v1 Announce Type: new Abstract: Loan origination is the process by which a lender creates a new loan, from application and underwriting through approval and funding. This process serve https://pulse-3k2.pages.dev/news/7b38ce9ecad6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png 3D-DLP: Self-Supervised 3D Object-Centric Scene Representation Learning arXiv:2606.19451v1 Announce Type: new Abstract: We introduce 3D-DLP, a self-supervised object-centric representation learning model that decomposes scene-level RGB-D or voxel observations into a set o https://pulse-3k2.pages.dev/news/7ad9311da3f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can In-Context Learning Support Intrinsic Curiosity? arXiv:2606.19476v1 Announce Type: new Abstract: Effective machine learning depends not only on how we model data, but also on what data we choose to collect. While large sequence models have revolutio https://pulse-3k2.pages.dev/news/09eb55126f88 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning arXiv:2606.19481v1 Announce Type: new Abstract: Offline reinforcement learning (ORL) offers the potential to improve the quality of clinical decision-making using historical electronic health record ( https://pulse-3k2.pages.dev/news/e9785d61be60 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Concept Flow Models: Anchoring Concept-Based Reasoning with Hierarchical Bottlenecks arXiv:2606.19489v1 Announce Type: new Abstract: Concept Bottleneck Models (CBMs) enhance interpretability by projecting learned features into a human-understandable concept space. Recent approaches le https://pulse-3k2.pages.dev/news/9382742e13a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale arXiv:2606.19491v1 Announce Type: new Abstract: Pretrained transformers sit near singular minima of the loss, where the Fisher information metric degenerates along dead directions: directions in param https://pulse-3k2.pages.dev/news/bc9308f3deb6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Calibrating Generative Models to Feature Distributions with MMD Finetuning arXiv:2606.19496v1 Announce Type: new Abstract: Generative models can produce individually plausible samples while deviating substantially from a target set in the distribution of key features. For ex https://pulse-3k2.pages.dev/news/910c24cb26c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interactive Pareto navigation for deep multi-task learning arXiv:2606.19521v1 Announce Type: new Abstract: In multi-task learning, handling an increasing number of objectives can quickly become challenging, both in terms of the computational resources and the https://pulse-3k2.pages.dev/news/f9be74482a68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Techniques for Peak Memory Reduction for LoRA Fine-tuning of LLMs on Edge Devices arXiv:2606.19528v1 Announce Type: new Abstract: Fine-tuning of Large Language Models (LLMs) using Low-Rank Adaptation (LoRA) on an end-user's data offers personalized experiences while keeping data pr https://pulse-3k2.pages.dev/news/0187a17bc6f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tracking Representation Dynamics in Large Language Models with Persistent Homology arXiv:2606.19542v1 Announce Type: new Abstract: Large language models are commonly aligned through supervised fine-tuning, yet little is known about how their internal representations evolve during th https://pulse-3k2.pages.dev/news/06c5b875f6cf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Predicting Mergeability of Parameter-Efficient Fine-Tuning Updates arXiv:2606.19549v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) makes it cheap to train many domain- and task-specific language model adapters, but whether two adapters can be merged is usu https://pulse-3k2.pages.dev/news/c2b25445ba7e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Displacement Is Not Direction: Evaluating Fidelity Metrics for Quantized LLM Deployment arXiv:2606.19558v1 Announce Type: cross Abstract: Fidelity metrics, such as per-token KL divergence (KLD) against a high-precision reference, are often used in practice as low-cost proxies for benchma https://pulse-3k2.pages.dev/news/18f35dd31e3f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting arXiv:2606.19560v1 Announce Type: new Abstract: Seasonal influenza infects millions of people and causes substantial morbidity and mortality in the United States each year, making accurate short-term https://pulse-3k2.pages.dev/news/adb413ada07f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Advances in Scientific Machine Learning for Coupled Fluid Flow and Transport arXiv:2606.19562v1 Announce Type: new Abstract: This chapter reviews recent advances in Scientific Machine Learning (SciML) for modeling coupled fluid flow and transport phenomena governed by the inco https://pulse-3k2.pages.dev/news/5463f5f3a9da 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the QUEST for Uncertainty Quantification via Highest Density Regions arXiv:2606.19569v1 Announce Type: new Abstract: Uncertainty quantification (UQ) is essential for reliable decision-making in safety-critical applications in probabilistic machine learning. For regress https://pulse-3k2.pages.dev/news/96dc0e3c3fe8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Unsupervised Causal Abstractions Discovery arXiv:2606.19594v1 Announce Type: new Abstract: Causal abstractions formalize when a high-level structural causal model (SCM) captures the interventional behavior of a lower-level SCM. Existing applic https://pulse-3k2.pages.dev/news/598bfad7b3be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IHBench: Evaluating Post-Interruption Recovery in Voice Agents with Structured Workflows arXiv:2606.19595v1 Announce Type: new Abstract: Voice agents deployed in structured workflows (customer service, healthcare scheduling, account management) must handle frequent user interruptions whil https://pulse-3k2.pages.dev/news/b1dc4bcd9dbc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Comparing Linear Probes with Mahalanobis Cosine Similarity arXiv:2606.19603v1 Announce Type: new Abstract: Linear probes are widely used in interpretability research and often compared by cosine similarity. The Mahalanobis cosine similarity (MCS) between two https://pulse-3k2.pages.dev/news/c7be8e19d83f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Latent Confounded Causal Discovery via Lie Bracket Geometry arXiv:2606.19610v1 Announce Type: new Abstract: Recent work on Kan-Do-Calculus (KDC) has established that the boundary between passive observation and active intervention in causal inference is a cate https://pulse-3k2.pages.dev/news/b14169278254 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SEAGAN: domain-Specific and Edge-Aware Graph Attention Network for Dynamic Plant Processes arXiv:2606.19623v1 Announce Type: new Abstract: Graph neural networks (GNNs) provide a flexible framework for learning from scientific data linked through physical, biological, or functional relations https://pulse-3k2.pages.dev/news/f1bb13ee711b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MassSpecGym in the Wild: Uncovering and Correcting Evaluation Pitfalls in AI-Driven Molecule Discovery arXiv:2606.19624v1 Announce Type: new Abstract: Reliable benchmarking is critical for developing machine learning models for tandem mass spectrometry (MS/MS) based molecule discovery. Subtle issues in https://pulse-3k2.pages.dev/news/b6826deb4f47 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hard or Just Unreached? Diagnosing the Sampling Blind Spot in Math-Reasoning Difficulty Estimation arXiv:2606.19636v1 Announce Type: new Abstract: Math and science reasoning benchmarks rely on pass@k, the fraction of sampled chains that reach gold, as the canonical per-example difficulty signal. Th https://pulse-3k2.pages.dev/news/d490a57e93f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Convex training of Lipschitz-regularized shallow neural networks arXiv:2606.19652v1 Announce Type: new Abstract: In this work, we introduce a training procedure for shallow neural networks that promotes robustness against adversarial attacks. We solve a non-convex https://pulse-3k2.pages.dev/news/dc99a081c1b8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LOKI: Memory-Free Null-Space Constrained Lifelong Knowledge Editing arXiv:2606.19679v1 Announce Type: new Abstract: Lifelong knowledge editing aims to efficiently and sequentially update language models over time, as new knowledge becomes available or when the model m https://pulse-3k2.pages.dev/news/7b165b07a15a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Granular Attention-Driven Reinforcement Learning Framework for Web Intelligent Enhancement Systems arXiv:2606.19690v1 Announce Type: new Abstract: From the past few years, web intelligent enhancement systems increasingly rely on heterogeneous and dynamic web data to deliver personalized, context-aw https://pulse-3k2.pages.dev/news/591e095ebe2b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficiently Representing Algorithms With Chain-of-Thought Transformers arXiv:2606.19697v1 Announce Type: cross Abstract: The increasing popularity of \emph{reasoning} models -- language models that output a series of reasoning or thought tokens before producing an answer https://pulse-3k2.pages.dev/news/4a4a6b0f9fa5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Neural Network Model Selection for Few-Class Application Datasets arXiv:2606.19712v1 Announce Type: new Abstract: While much effort has focused on developing and benchmarking high-performance neural networks, less attention has been given to how dataset properties, https://pulse-3k2.pages.dev/news/30da8280de87 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OnDeFog: Online Decision Transformer under Frame Dropping arXiv:2606.19721v1 Announce Type: new Abstract: In challenging real-world reinforcement learning applications, communication delays or sensor failures often cause frame dropping, in which the agent ca https://pulse-3k2.pages.dev/news/033fc696e48e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Federated Bilevel Performative Prediction arXiv:2606.19734v1 Announce Type: new Abstract: Federated bilevel optimization is widely used for nested learning problems across distributed clients, such as federated hyperparameter tuning and meta- https://pulse-3k2.pages.dev/news/2a5f3537c64d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Manifold Bandits: Bayesian Curriculum Learning over the Latent Geometry of Large Language Models arXiv:2606.19750v1 Announce Type: cross Abstract: Reinforcement learning (RL) is a central approach for improving reasoning capabilities in large language models (LLMs), where training efficiency depe https://pulse-3k2.pages.dev/news/159ebc989a7b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning universal approximations for partial differential equations with Physics-Informed Broad Learning System arXiv:2606.19754v1 Announce Type: new Abstract: Partial differential equations (PDEs) play a central role in modeling complex physical, biological, and engineering systems. While traditional numerical https://pulse-3k2.pages.dev/news/bfc00a2a1531 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Information Theoretic Framework for Graph Novelty Generation via Latent Mixture Modeling arXiv:2606.19770v1 Announce Type: new Abstract: We propose an information-theoretic framework for graph novelty generation, which aims to generate data that are distinct from existing patterns while p https://pulse-3k2.pages.dev/news/05bc90b35b19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Flow Map Denoisers: Traversing the Distortion-Perception Plane for Inverse Problems arXiv:2606.19802v1 Announce Type: new Abstract: Image restoration faces a fundamental tradeoff: methods that minimize error produce blurry reconstructions, while those that maximize perceptual quality https://pulse-3k2.pages.dev/news/d55dbaaf6447 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty-Aware Reward Modeling for Stable RLHF arXiv:2606.19818v1 Announce Type: new Abstract: Reinforcement learning from human feedback (RLHF) aligns large language models by training reward models on preference data and optimizing policies to m https://pulse-3k2.pages.dev/news/03b2a5ece103 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhancing Graph Neural Networks Using Proximity Graphs for Dust Source Emission Forecasting arXiv:2606.19825v1 Announce Type: new Abstract: Accurate prediction of dust source emissions is critical for mitigating the significant environmental and health hazards posed by dust storms. Tradition https://pulse-3k2.pages.dev/news/f74f50b240e2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When, Where, and How: Adaptive Binning for Tabular Self-Supervised Learning arXiv:2606.19827v1 Announce Type: new Abstract: Medical tabular data are ubiquitous in clinical research, but deep learning for tables remains underexplored because reliable labels often require costl https://pulse-3k2.pages.dev/news/57677c9b442f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Additive and Basis Models with Feature Selection and Interactions arXiv:2606.19850v1 Announce Type: new Abstract: Deep neural networks (DNNs) exhibit attractive performance in various fields but often suffer from low interpretability. The neural additive model (NAM) https://pulse-3k2.pages.dev/news/787743a6f3b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Informed Neural Network with Squeeze-Excitation-like Attention arXiv:2606.19853v1 Announce Type: new Abstract: We introduce SEA-PINN, a novel architecture that incorporates a Squeeze-Excitation-like attention mechanism into physics-informed neural networks to dyn https://pulse-3k2.pages.dev/news/e2e5b7eb4598 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Global Convergence of Gradient Descent for Score Matching in Gaussian Mixtures via Reverse Fisher Divergence arXiv:2606.19876v1 Announce Type: new Abstract: The score matching problem is a central training objective in modern generative modeling, diffusion models, fitting unnormalized statistical models, and https://pulse-3k2.pages.dev/news/7116b16b9f06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Oracle Complexity of Interpolation-Based Gradient Descent arXiv:2606.19878v1 Announce Type: new Abstract: Recent work on first-order optimizers for empirical risk minimization (ERM) has suggested that smoothness of ERM loss functions in the training data, ra https://pulse-3k2.pages.dev/news/3f715d5e6cab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Matching Markets meet Cumulative Prospect Theory: Towards Optimal and Adversarially Robust Learning arXiv:2606.19883v1 Announce Type: new Abstract: We study a multi-agent multi-armed bandit problem in the competitive setup with two-sided matching markets under a human centric decision making model. https://pulse-3k2.pages.dev/news/926a0ee6c8e7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SL-S4Wave: Self-Supervised Learning of Physiological Waveforms with Structured State Space Models arXiv:2606.19888v1 Announce Type: new Abstract: Modeling long-sequence medical time series data, such as electrocardiograms (ECG), poses significant challenges due to high sampling rates, multichannel https://pulse-3k2.pages.dev/news/aaf0434ff890 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adversarial Bandit Optimization with Globally Bounded Perturbations to Convex Losses arXiv:2606.19891v1 Announce Type: new Abstract: We study adversarial bandit optimization in which the loss functions may be non-convex and non-smooth. In each round, the learner selects an action and https://pulse-3k2.pages.dev/news/526f96aa9b39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Score Approximation for Diffusion Models on Arbitrary Low-Dimensional Structures arXiv:2606.19894v1 Announce Type: new Abstract: The remarkable success of score-based diffusion models has spurred significant efforts to establish their theoretical foundations. However, existing com https://pulse-3k2.pages.dev/news/55adf593f378 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ADaPT: Token-Level Decoupling for Efficient Large Reasoning Models arXiv:2606.19919v1 Announce Type: new Abstract: Large reasoning models rely on long chain-of-thought to achieve strong performance, but applying such reasoning uniformly incurs high computational cost https://pulse-3k2.pages.dev/news/551defcb615b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds arXiv:2606.19941v1 Announce Type: new Abstract: Compositionality is believed to be the foundation for generalization, enabling models to reuse meaningful primitives in novel combinations. Yet, models https://pulse-3k2.pages.dev/news/4e299ebf7781 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation arXiv:2606.19956v1 Announce Type: new Abstract: Map generalization remains one of the fundamental tasks in cartography, especially for the simplification and aggregation of complex building footprints https://pulse-3k2.pages.dev/news/e2a9f3abf30d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Energy Reduced RISC-V Instruction Subset Processor for Tsetlin Machine Inference at the Edge arXiv:2606.19964v1 Announce Type: new Abstract: Tsetlin Machine (TM) is a logic-based machine learning approach that relies on simple bitwise operations and finite-state automata, which makes it attra https://pulse-3k2.pages.dev/news/41e95a908808 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Kolmogorov-Arnold Reservoir Computing arXiv:2606.19984v1 Announce Type: new Abstract: Reservoir computing offers a lightweight framework for forecasting dynamical systems but may struggle to capture long-range dependencies due to limited https://pulse-3k2.pages.dev/news/18c59077bf32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs arXiv:2606.19993v1 Announce Type: new Abstract: We present Activation- and Influence-Aware Ranks (AIR), an SVD-based LLM compression framework that guides each weight matrix's low-rank approximation w https://pulse-3k2.pages.dev/news/4173f93a1be9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Connect the Dots: Training LLMs for Long-Lifecycle Agents with Cross-Domain Generalization Via Reinforcement Learning arXiv:2606.20002v1 Announce Type: cross Abstract: This work presents a general framework for training large language models (LLMs) to "Connect the Dots" (CoD), a meta-capability required by long-lifec https://pulse-3k2.pages.dev/news/63238f32f4fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png StreamKL: Fast and Memory-Efficient KL Divergence for Boosting Attention Distillation arXiv:2606.20005v1 Announce Type: new Abstract: Attention distillation, which trains one attention distribution to match another by minimizing their Kullback-Leibler (KL) divergence, is widely used in https://pulse-3k2.pages.dev/news/d5aea692d0ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VIMPO: Value-Implicit Policy Optimization for LLMs arXiv:2606.20008v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards has become a central tool for improving the reasoning ability of large language models, but current metho https://pulse-3k2.pages.dev/news/9fd7d4c95fed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Adaptive Scale Handling for Forecasting Time Series with Scale Heterogeneity arXiv:2606.20010v1 Announce Type: new Abstract: Current time series forecasting (TSF) research predominantly focuses on scale-homogeneous data, where different time series share similar numerical magn https://pulse-3k2.pages.dev/news/1c4590d0f5d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hierarchical Control in Multi-Agent Games: LLM-based Planning and RL Execution arXiv:2606.20014v1 Announce Type: new Abstract: Reinforcement learning (RL) has achieved strong performance in sequential decision-making, yet scaling to complex multi-agent environments remains chall https://pulse-3k2.pages.dev/news/c528ca4a3093 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Distance-Aware Trunk Deep Operator Learning for Long-Span Roadway Bridges arXiv:2606.20015v1 Announce Type: new Abstract: Long-span roadway bridges exhibit highly localized structural responses under vehicular loading, making repeated FE analysis computationally expensive f https://pulse-3k2.pages.dev/news/7692ec0eab75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring the potential of AlphaEarth and TESSERA embeddings for Fine-scale Local Climate Zone Mapping: A case study across five cities in Switzerland arXiv:2606.20034v1 Announce Type: new Abstract: Understanding urban spatial morphology is critical for climate modeling, risk assessment, and sustainable urban design, and Local Climate Zone (LCZ) map https://pulse-3k2.pages.dev/news/d118c53b2ea3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Alzheimer's Disease Diagnosis using a Multimodal Approach with 3D MRI and PET arXiv:2606.20037v1 Announce Type: new Abstract: Alzheimer's disease (AD) is an irreversible neurodegenerative disorder and a leading cause of death worldwide. Early diagnosis plays an important part e https://pulse-3k2.pages.dev/news/a0dce763a5a6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Comparative Study of Neural Surrogate Architectures for Autoregressive Prediction of Internal Battery States arXiv:2606.20053v1 Announce Type: new Abstract: The Doyle-Fuller-Newman (DFN) model resolves internal electrochemical states in lithium-ion batteries with high fidelity. However, the numerical solutio https://pulse-3k2.pages.dev/news/503c2592b9cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PaAno+: Multiscale Encoding and Cross-Variable Attention for Time Series Anomaly Detection arXiv:2606.20055v1 Announce Type: new Abstract: Time-series anomaly detection has significant practical value for industrial and medical monitoring, as well as other critical domains. Current Transfor https://pulse-3k2.pages.dev/news/6adcae39e174 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Makes Effective Supervision in Latent Chain-of-Thought: An Information-Theoretic Analysis arXiv:2606.20075v1 Announce Type: cross Abstract: Latent Chain-of-Thought (CoT) internalizes reasoning within continuous hidden states, offering a promising alternative to verbose discrete reasoning t https://pulse-3k2.pages.dev/news/a97d421c9393 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sensorimotor World Models: Perception for Action via Inverse Dynamics arXiv:2606.20104v1 Announce Type: new Abstract: Perception for action suggests that representations of the world should be shaped not by visual fidelity alone, but by their relevance for actions. At t https://pulse-3k2.pages.dev/news/bc998fefee3e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantile of Means: A Bonus-Free Ensemble Method for Minimax Optimal Reinforcement Learning arXiv:2606.20107v1 Announce Type: new Abstract: Optimal Reinforcement Learning (RL) algorithms typically rely on carefully constructed count-based uncertainty estimates to drive exploration. Although https://pulse-3k2.pages.dev/news/3db27aa65025 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Calibration Fails the Vulnerable Hospital: Federated Conformal Risk Control via Risk-Curve Shrinkage arXiv:2606.20115v1 Announce Type: new Abstract: Conformal risk control (CRC) provides distribution-free guarantees on segmentation quality by calibrating a prediction-set threshold on held-out data. I https://pulse-3k2.pages.dev/news/7b40790987b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Modal Contrastive Learning for Implicit Earth Embeddings via Location Tying arXiv:2606.20167v1 Announce Type: new Abstract: Spatial prediction tasks are often limited by a lack of high-quality labelled ground-truth observations. To overcome this challenge, self-supervised pre https://pulse-3k2.pages.dev/news/731645e7a5e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI arXiv:2606.20172v1 Announce Type: new Abstract: Preterm birth is associated with significant mortality and a risk for lifelong morbidity. The complex multifactorial aetiology hampers accurate predicti https://pulse-3k2.pages.dev/news/126435d3e6b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Computational Methods and Challenges in Cell-Free DNA Analysis for Multi-Cancer Early Detection arXiv:2606.20174v1 Announce Type: new Abstract: Cell-free DNA (cfDNA) is a promising avenue for non-invasive multicancer early detection (MCED), in that, it can enable multiple cancer detection simult https://pulse-3k2.pages.dev/news/53d57f1a5948 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Effective Dimension Governs Generalization in Quantum Kernel Vision Models arXiv:2606.20183v1 Announce Type: new Abstract: Recent quantum vision models-quantum vision transformers and quantum convolutional networks-report two striking but unexplained empirical phenomena: (i) https://pulse-3k2.pages.dev/news/5783432d1c86 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learner-based Concept Drift Detection: Analysis and Evaluation arXiv:2606.20216v1 Announce Type: new Abstract: Machine learning algorithms deployed for evolving streaming environments must handle the non-stationary data distributions, commonly referred to as conc https://pulse-3k2.pages.dev/news/c4f7d9afe833 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement arXiv:2606.20283v1 Announce Type: new Abstract: Graph neural networks (GNNs) excel at aggregating neighbor information for classification, yet their performance is hindered by graph structural entangl https://pulse-3k2.pages.dev/news/0b953e289739 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Integrating national forest inventory, airborne lidar, and satellite imagery for wall-to-wall mapping of forest structure with computer vision arXiv:2606.20291v1 Announce Type: new Abstract: Remote sensing is increasingly relied upon to deliver actionable science for forest and wildfire risk management across large landscapes. Wall-to-wall, https://pulse-3k2.pages.dev/news/f45a5494fa89 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Shifting-based Optimizable Linear Relaxations for General Activation Functions arXiv:2606.20292v1 Announce Type: new Abstract: The use of neural networks (NNs) is rapidly increasing, including in safety- and security-critical domains. To provide formal guarantees about NN behavi https://pulse-3k2.pages.dev/news/a0759380eb69 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recurrent neural networks approximate continuous functions arXiv:2606.20325v1 Announce Type: new Abstract: Classical approximation theorems ask for a new neural network whenever the target accuracy is improved. This paper studies the opposite possibility: can https://pulse-3k2.pages.dev/news/42ecacf5bf70 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantum-classical physics-informed Kolmogorov-Arnold networks for PDEs arXiv:2606.20326v1 Announce Type: new Abstract: We develop QCPIKAN, the first quantum-classical physics-informed Kolmogorov-Arnold network designed to solve partial differential equations (PDEs). Buil https://pulse-3k2.pages.dev/news/3f9fc6f9d1ec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained hybrid modelling to predict microbial dynamics and organic matter turnover in soil systems arXiv:2606.20329v1 Announce Type: new Abstract: Soil microorganisms control organic matter cycling and largely determine how soil systems can cope with and mitigate climate change and environmental th https://pulse-3k2.pages.dev/news/3e7f8a12fc68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Critical Percolation as a Synthetic Data Model for Interpretability arXiv:2606.20347v1 Announce Type: new Abstract: Neural networks learn features that reflect the hierarchical, multi-scale structure of natural data. Synthetic datasets used to evaluate interpretabilit https://pulse-3k2.pages.dev/news/3e0981717bb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Variance of Temporal Difference Learning and its Reduction Using Control Variates arXiv:2606.20357v1 Announce Type: new Abstract: We analyze the variance of temporal difference (TD) learning using the phased setting with tabular representation, and show that one of the mechanisms b https://pulse-3k2.pages.dev/news/5ce6881f2dc7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act arXiv:2606.20359v1 Announce Type: new Abstract: Self-represented tenants, landlords, and help-desk staff need to be pointed at the provision of law that actually governs a question, with a correct sta https://pulse-3k2.pages.dev/news/bd1bb39bd27a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation arXiv:2606.19344v1 Announce Type: new Abstract: Large Language Models (LLMs) exhibit representational and syntactic biases that are difficult to evaluate due to the stochastic nature of text generatio https://pulse-3k2.pages.dev/news/87e751818406 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ensembles of Large Language Models for Identifying EQ-5D Studies in PubMed Based on Their Abstracts arXiv:2606.19345v1 Announce Type: new Abstract: The rapid increase in scientific publications leads to the fact that manual study screening in systematic literature reviews (SLRs) is increasingly reso https://pulse-3k2.pages.dev/news/8843f43b1d4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual Transfer arXiv:2606.19346v1 Announce Type: new Abstract: We study cross-lingual transfer by fine-tuning seven large language models (4B--671B parameters) on Arabic and evaluating zero-shot reading comprehensio https://pulse-3k2.pages.dev/news/1547b00dd3f8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How LLMs Fail and Generalize in RTL Coding for Hardware Design? arXiv:2606.19347v1 Announce Type: new Abstract: Translating sequential programming priors into the parallel temporal logic of hardware design remains a crucial bottleneck for large language models(LLM https://pulse-3k2.pages.dev/news/8418dca4e212 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence arXiv:2606.19348v1 Announce Type: new Abstract: We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameter https://pulse-3k2.pages.dev/news/86efcc23426c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Where to Place the Query? Unveiling and Mitigating Positional Bias in In-Context Learning for Diffusion LLMs via Decoding Dynamics arXiv:2606.19349v1 Announce Type: new Abstract: While In-Context Learning (ICL) is extensively studied in Autoregressive (AR) LLMs, its mechanism within Diffusion Large Language Models (dLLMs) remains https://pulse-3k2.pages.dev/news/08c12e28a139 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pruning via Causal Attribution Preserves Reasoning Performance in Large Language Models arXiv:2606.19350v1 Announce Type: new Abstract: Large language models (LLMs) excel at multi-step reasoning but incur substantial inference cost. We introduce Causal Attribution Pruning (CAP), a traini https://pulse-3k2.pages.dev/news/49030d5095a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning arXiv:2606.19351v1 Announce Type: new Abstract: Knowledge graph (KG) reasoning infers new knowledge from existing facts and is widely applied in question answering, recommendation, and decision suppor https://pulse-3k2.pages.dev/news/eecb215773f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards arXiv:2606.19352v1 Announce Type: new Abstract: Sign languages are expressive visual languages used by Deaf and Hard-of-Hearing (DHH) communities. Despite substantial progress in sign-language recogni https://pulse-3k2.pages.dev/news/500e1ebba059 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence arXiv:2606.19353v1 Announce Type: new Abstract: In-Context Learning (ICL) allows LLMs to adapt to new tasks from a few demonstrations, but its reliability remains a concern: predictions are highly sen https://pulse-3k2.pages.dev/news/f8f34c310203 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Granularity-Regulated Adaptive Computational Efficiency for Optimal Verification in Test-Time Scaling arXiv:2606.19354v1 Announce Type: new Abstract: Test-time scaling (TTS) has emerged as a powerful paradigm for improving the reasoning performance of large language models (LLMs) by investing addition https://pulse-3k2.pages.dev/news/7ffb30919b1c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol arXiv:2606.19356v1 Announce Type: new Abstract: When multi-agent LLM systems produce bad answers, not all failures are equal: some answers are grounded in the right material but incomplete, while othe https://pulse-3k2.pages.dev/news/2f91a386d499 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Characterizing Narrative Content in Web-scale LLM Pretraining Data arXiv:2606.19468v1 Announce Type: new Abstract: The narrative composition of web-scale LLM pretraining corpora remains largely unexplored even though narrative is a fundamental mode of human communica https://pulse-3k2.pages.dev/news/261bdc6cccbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias arXiv:2606.19544v1 Announce Type: new Abstract: LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agreement, a metr https://pulse-3k2.pages.dev/news/d6fd60ef1ce7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LaViSA: A Language and Vision Structural Ambiguity Benchmark arXiv:2606.19552v1 Announce Type: new Abstract: Structural ambiguity arises when a single sentence admits multiple valid interpretations due to its syntactic structure, posing a fundamental challenge https://pulse-3k2.pages.dev/news/7b6c7ca864b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A BART-based approach with hierarchical strategy for Vietnamese abstractive multi-document summarization arXiv:2606.19591v1 Announce Type: new Abstract: In this technical report, we focus on solving the challenge of Vietnamese multi-document abstractive summarization, introduced in the International Work https://pulse-3k2.pages.dev/news/fb9ce734ab82 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Where Does Social Reasoning Come From? Capability Provenance in Language Models arXiv:2606.19625v1 Announce Type: new Abstract: We use training-data attribution as an interpretable tool for capability discovery, mapping which regions of the pretraining corpus support social-reaso https://pulse-3k2.pages.dev/news/ce813e32e31f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Before the Labels: How Dataset Construction Shapes Suicidality Detection in Clinical Text arXiv:2606.19637v1 Announce Type: new Abstract: Clinical NLP increasingly relies on electronic health record (EHR) data to detect suicidal behaviors, treating clinical documentation as more reliable g https://pulse-3k2.pages.dev/news/b7173d7d23be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MiqraBERT: Regression-Based Sentence-BERT Finetuning for Biblical Hebrew Parallel Detection arXiv:2606.19638v1 Announce Type: new Abstract: Textual reuse pervades the Hebrew Bible, yet the computational methods used to detect it still rest largely on lexical overlap, and they falter once a p https://pulse-3k2.pages.dev/news/d965308dcdf5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Creating Multilingual Mental Health Dialogue Datasets: Limits of Persona-Based Localization via Nationality and Language arXiv:2606.19640v1 Announce Type: new Abstract: AI and large language models (LLMs) have emerged as promising tools to address global mental health challenges. Despite the global nature of these chall https://pulse-3k2.pages.dev/news/4e439727a3c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From 50K to 8.2 Million in 24 Hours: Vozinha's Algorithmic Consecration and the Multilingual Making of World Cup Visibility arXiv:2606.19647v1 Announce Type: new Abstract: We present a multilingual computational discourse analysis of how language constructed the algorithmic consecration of Vozinha, the 40-year-old Cape Ver https://pulse-3k2.pages.dev/news/e112359a3ac8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAGE-OPD: Selective Agent-Guided Intervention for Multi-Turn On-Policy Distillation arXiv:2606.19659v1 Announce Type: new Abstract: On-policy distillation (OPD) improves student models by training them on trajectories induced by their own policy, making it a promising approach for mi https://pulse-3k2.pages.dev/news/30e4332549a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CacheWeaver: Cache-Aware Evidence Ordering for Efficient Grounded RAG Inference arXiv:2606.19667v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) improves factual grounding, but it also lengthens prompts and raises prefill cost. Prefix caching in serving engine https://pulse-3k2.pages.dev/news/4ab294699f36 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Code-Switching Reveals Language Anchoring in Multilingual LLMs arXiv:2606.19668v1 Announce Type: new Abstract: Multilingual Large Language Models (MLLMs) are increasingly expected to handle Code-Switched (CS) inputs, yet mixing languages frequently degrades perfo https://pulse-3k2.pages.dev/news/cffb3d2ddec4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What sentiment analysis can't see: Measuring whether customers were helped, and what went wrong, across 70,000 support conversations arXiv:2606.19698v1 Announce Type: new Abstract: Most companies read their customer support data at scale using sentiment analysis, which measures how customers sound rather than whether they were sati https://pulse-3k2.pages.dev/news/887bd415907d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TerraMARS: A Domain-Adapted Small-Language-Model Pipeline for Mars Terraforming Literature arXiv:2606.19700v1 Announce Type: new Abstract: Researchers are interested in learning about Mars so that it may eventually become habitable for humans. To achieve this, there is a need for comprehens https://pulse-3k2.pages.dev/news/3dc9ce565d3b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FineREX: Fine-Tuned NER-RE for Human Smuggling Knowledge Graphs arXiv:2606.19710v1 Announce Type: new Abstract: Court proceedings contain valuable evidence about human smuggling networks, but this information is often buried within unstructured, jargon-heavy legal https://pulse-3k2.pages.dev/news/ec0af2cb624f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NRITYAM: Language Models Meet Art and Heritage of Dance arXiv:2606.19727v1 Announce Type: new Abstract: Language models have become essential tools in shaping modern workflows. However, their global effectiveness hinges on a nuanced understanding of local https://pulse-3k2.pages.dev/news/b4269c6af515 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings arXiv:2606.19744v1 Announce Type: new Abstract: Aligning language models with human preferences often requires optimising multiple behavioural objectives. A practical approach is to apply these object https://pulse-3k2.pages.dev/news/654818f77e18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability arXiv:2606.19815v1 Announce Type: new Abstract: Pre-trained language models such as BERT achieve strong text classification performance but lack transparency, limiting their use in high-stakes setting https://pulse-3k2.pages.dev/news/f1315525e224 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CREDENCE: Claim Reduction for Decomposition & Enhanced Credibility -- Semantic Metrics and Convergence Analysis arXiv:2606.19819v1 Announce Type: new Abstract: Decomposing compound sentences into atomic, verifiable claims is a prerequisite for reliable automated fact-checking. Prior work has relied on token-ove https://pulse-3k2.pages.dev/news/ed55500f7de4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leverage Is Not Reach: A Control-Window Law for Single-Neuron Steering in Language Models arXiv:2606.19831v1 Announce Type: new Abstract: Aligned language models gate behaviors such as refusal and language routing through sparse feed forward neurons, yet no theory predicts when a single ne https://pulse-3k2.pages.dev/news/28089234b6c3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AtomMem: Building Simple and Effective Memory System for LLM Agents via Atomic Facts arXiv:2606.19847v1 Announce Type: new Abstract: Large language models (LLMs) demonstrate strong reasoning and generation abilities, but their fixed context windows limit long-term information accumula https://pulse-3k2.pages.dev/news/1ef2c7ba5163 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prompt, Plan, Extract: Zero-Shot Agentic LLMs Workflows for Lung Pathology Extraction from Clinical Narratives arXiv:2606.19852v1 Announce Type: new Abstract: Information extraction from pathology reports is essential for cancer staging, tumor registry population. Yet key data remains embedded in narrative rep https://pulse-3k2.pages.dev/news/499387c3cab4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Large Language Models Do Not Always Need Readable Language arXiv:2606.19857v1 Announce Type: new Abstract: Large language models (LLMs) are commonly prompted and interfaced with human-readable natural language, even when the intended reader is another model. https://pulse-3k2.pages.dev/news/3de55fdc50e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Almost Intelligent Revolution: Options for Scaling Up Deliberation and Empowering People with AI arXiv:2606.19864v1 Announce Type: new Abstract: The increasing prominence of Large Language Models (LLMs) in public discourse presents both opportunities and challenges for democratic deliberation. Wh https://pulse-3k2.pages.dev/news/834772ed9965 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection arXiv:2606.19881v1 Announce Type: new Abstract: Benchmark infrastructure for personally identifiable information (PII) detection remains limited: existing corpora cover few entity types, use ad hoc ge https://pulse-3k2.pages.dev/news/0a244fcb4b45 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Light-weight Pronunciation Assessment via Discrete Speech Token Surprisal arXiv:2606.19910v1 Announce Type: new Abstract: Training automated pronunciation assessment often relies on labeled learner errors or non-native corpora that are costly to collect. We propose a lightw https://pulse-3k2.pages.dev/news/923da74467f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GEMS: Geometric Constraints Enable Multi-Semantic Superposition in LLMs arXiv:2606.19946v1 Announce Type: new Abstract: Activation steering controls model behavior by modifying intermediate hidden states at inference time without retraining. Existing methods handle only s https://pulse-3k2.pages.dev/news/926a3bbf415c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Source-Grounded Data Generation for Text-to-JSON Learning arXiv:2606.20072v1 Announce Type: new Abstract: From financial filings to clinical records, legacy industries rely heavily on long, unstructured documents to store high-value information. Reliably ext https://pulse-3k2.pages.dev/news/f1f8efecadb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IHUBERT: Vector-Based Semantic Deduplication and Domain-Balanced Pretraining for Persian Resources arXiv:2606.20089v1 Announce Type: new Abstract: Persian pretrained language models (PLMs) are still limited by the scarcity of large-scale, high-quality pretraining corpora and by insufficient evaluat https://pulse-3k2.pages.dev/news/bc1474da1c64 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Preference Is Weak or Absent in Verifiable Instruction-Following Revision: A Four-Model Test Under Genuine Authorship arXiv:2606.20093v1 Announce Type: new Abstract: Large language models (LLMs) increasingly review and revise text, including their own. A documented self-preference bias (models favoring their own gene https://pulse-3k2.pages.dev/news/68ab2da23833 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HydraHead: From Head-Level Functional Heterogeneity to Specialized Attention Hybridization arXiv:2606.20097v1 Announce Type: new Abstract: The quadratic complexity of attention poses a critical bottleneck for long-context processing, spurring interest in hybrid attention designs. Most open- https://pulse-3k2.pages.dev/news/3c9ab68f718a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Does Streaming Tool Use Help? Characterizing Tool-Intent Stabilization in Streaming Retrieval-Augmented Generation arXiv:2606.20113v1 Announce Type: new Abstract: Streaming Retrieval-Augmented Generation (Streaming RAG) reduces user-perceived latency by issuing tool queries in parallel with ongoing user input, bef https://pulse-3k2.pages.dev/news/9f65dfdd8b9b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Texts to Scores: Tracing the Emergence of Essay Quality Representations in Large Language Models arXiv:2606.20152v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have substantially transformed Automated Essay Scoring (AES), yet the internal mechanisms underlying LLM https://pulse-3k2.pages.dev/news/ba62e65f3c7a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedRLM: Recursive Multimodal Health Intelligence for Long-Context Clinical Reasoning, Sensor-Guided Screening, Evidence-Grounded Decision Support, and Community-to-Tertiary Referral Optimization arXiv:2606.20164v1 Announce Type: new Abstract: Real-world clinical decision support requires reasoning over heterogeneous and longitudinal patient information rather than answering isolated medical q https://pulse-3k2.pages.dev/news/34d7144c64eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReNikud: Audio-Supervised Hebrew Grapheme-to-Phoneme Conversion arXiv:2606.20179v1 Announce Type: new Abstract: Grapheme-to-phoneme (G2P) conversion for Modern Hebrew is needed for applications like text-to-speech (TTS), but is challenging due to the language's ab https://pulse-3k2.pages.dev/news/39f1cff90c41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pitch Spelling Jazz Lead Sheets, Solo Transcriptions, Classical Piano and Monophonic Scores arXiv:2606.20198v1 Announce Type: new Abstract: We present an algorithm for pitch spelling and key estimation. Given an input in MIDI-like format, containing information on note pitches (expressed in https://pulse-3k2.pages.dev/news/f771cbced466 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CzechDocs: A Multiway Parallel Dataset of Formatted Documents for Minority Languages in Czechia arXiv:2606.20212v1 Announce Type: new Abstract: We present CzechDocs, a multiway parallel dataset of formatted documents (HTML, DOCX, and PDF) covering Czech and minority languages used in Czechia-pri https://pulse-3k2.pages.dev/news/a15338bafc8f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Actionable Activation Directions for Detecting and Mitigating Emergent Misalignment Across Language Model Families arXiv:2606.20225v1 Announce Type: new Abstract: Fine-tuning language models on insecure code induces emergent misalignment with poorly understood internal structure. We investigate whether this misali https://pulse-3k2.pages.dev/news/f51c3b312135 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Register Gap: A Meaning Intelligence Framework for Nigerian Public Discourse arXiv:2606.20255v1 Announce Type: new Abstract: We introduce the Meaning Intelligence Framework (MIF), a nine-dimension annotation and evaluation schema for Nigerian public discourse that separates su https://pulse-3k2.pages.dev/news/5e85db28b26c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PsyScore: A Psychometrically-Aware Framework for Trait-Adaptive Essay Scoring and ZPD-Scaffolded Feedback arXiv:2606.20287v1 Announce Type: new Abstract: Effective Automated Essay Scoring (AES) are expected to support both reliable assessment and actionable instructional feedback. However, existing approa https://pulse-3k2.pages.dev/news/78dc49b5fcdc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CATCH-ME if you RAG: a dataset of Contextually Annotated multi-Turn Counterspeech against Hate and Misinformation Exchanges arXiv:2606.20369v1 Announce Type: new Abstract: Online hate speech and misinformation frequently overlap, yet NLP research has mainly treated them in isolation. While LLMs represent a scalable solutio https://pulse-3k2.pages.dev/news/639907e2da4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users arXiv:2606.20482v1 Announce Type: new Abstract: To align a Large Language Model (LLM), most existing methods collect explicit human feedback and train a reward model to predict the human preference ba https://pulse-3k2.pages.dev/news/c339ec53b1be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Global Replanning: Hierarchical Recovery for Cross-Device Agent Systems arXiv:2606.20487v1 Announce Type: new Abstract: Real-world computer-use tasks often span multiple applications and devices, requiring agents to coordinate heterogeneous environments under dynamic runt https://pulse-3k2.pages.dev/news/566b7afbf151 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png StylisticBias: A Few Human Visual Cues Drive Most Social Biases in MLLMs arXiv:2606.20527v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) are increasingly deployed in personally and societally consequential settings, yet the visual cues that shape h https://pulse-3k2.pages.dev/news/41a846996529 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gender Bias in LLM Hiring Decisions: Evidence from a Japanese Context and Evaluation of Mitigation Strategies arXiv:2606.18649v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in hiring workflows, yet most research on gender bias in LLM hiring decisions has focused on En https://pulse-3k2.pages.dev/news/56b706431630 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond the GUI Paradigm: Do Mobile Agents Need the Phone Screen? arXiv:2606.19388v1 Announce Type: cross Abstract: Recent advances in mobile agents are dominated by the GUI paradigm, in which agents perceive UI information and emit screen interactions. However, mob https://pulse-3k2.pages.dev/news/ebb4056f5251 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffusion Language Models: An Experimental Analysis arXiv:2606.19475v1 Announce Type: cross Abstract: Large Language Models (LLMs) have revolutionized language modeling through autoregressive generation, enabling strong performance across a wide range https://pulse-3k2.pages.dev/news/e9e36d2627e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DeXposure-Claw: An Agentic System for DeFi Risk Supervision arXiv:2606.19501v1 Announce Type: cross Abstract: Decentralized finance exposes supervisors to fast-moving, networked credit risks. General-purpose LLM agents fit this setting poorly: they over-read w https://pulse-3k2.pages.dev/news/a994ba7e0b19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PerceptionDLM: Parallel Region Perception with Multimodal Diffusion Language Models arXiv:2606.19534v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) have achieved remarkable progress in visual understanding tasks. However, most existing MLLMs rely on autoreg https://pulse-3k2.pages.dev/news/58cfe7564e27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty Decomposition for Clarification Seeking in LLM Agents arXiv:2606.19559v1 Announce Type: cross Abstract: Recent position papers argue that the classical aleatoric/epistemic uncertainty framework is insufficient for interactive large language model (LLM) a https://pulse-3k2.pages.dev/news/6abe1629e886 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toten: Knowledge-Based Ontological Tokenization Of Physical Quantities And Technical Notation In Brazilian Portuguese arXiv:2606.19626v1 Announce Type: cross Abstract: Byte-Pair Encoding tokenization is statistically efficient for vocabulary compression, but semantically blind to structured technical entities, fragme https://pulse-3k2.pages.dev/news/a271d6792de8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots arXiv:2606.19660v1 Announce Type: cross Abstract: Prompt injection is ranked as the most critical vulnerability in large language model (LLM) deployments by the OWASP Top 10 for LLM Applications, yet https://pulse-3k2.pages.dev/news/ab6f16fe17e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NEST: Narrative Event Structures in Time for Long Video Understanding arXiv:2606.19706v1 Announce Type: cross Abstract: Recent progress in vision-language models has enabled the processing of increasingly long video sequences, but the ability to handle extended token st https://pulse-3k2.pages.dev/news/f2df41c2b68f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Closing the Calibration Gap in Semantic Caching arXiv:2606.19719v1 Announce Type: cross Abstract: Semantic caching cuts LLM inference costs by serving a cached response to semantically similar queries. Standard practice evaluates these systems usin https://pulse-3k2.pages.dev/news/cb06e2efcce4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking Agentic Review Systems arXiv:2606.19749v1 Announce Type: cross Abstract: A new class of agentic review systems are emerging as a remedy to the pressure placed on peer review systems by AI-assisted research, but it is unclea https://pulse-3k2.pages.dev/news/327a146601be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA arXiv:2606.19782v1 Announce Type: cross Abstract: Financial chart question answering in regulated settings demands more than accuracy: practitioners must know which answers to trust before acting on t https://pulse-3k2.pages.dev/news/e456a9e43e19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CombEval: A Framework for Evaluating Combinatorial Counting in Large Language Models arXiv:2606.19788v1 Announce Type: cross Abstract: We present CombEval, a dynamic benchmark for evaluating combinatorial counting in large language models. CombEval represents each problem as a typed C https://pulse-3k2.pages.dev/news/bcb86877f6df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Think Again or Think Longer? Selective Verification for Budget-Aware Reasoning arXiv:2606.19808v1 Announce Type: cross Abstract: Test-time reasoning is increasingly used as a serving-time control knob, but extra reasoning is not uniformly valuable: it can repair failed attempts, https://pulse-3k2.pages.dev/news/07fa14d81cd5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines arXiv:2606.19830v1 Announce Type: cross Abstract: Current AI-driven game development has made substantial progress in asset generation, gameplay design, and web-based game coding, yet project-level co https://pulse-3k2.pages.dev/news/070955c6cd1b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Agent Transactive Memory arXiv:2606.19911v1 Announce Type: cross Abstract: The decentralized deployment of LLM agents with diverse capabilities across diverse tasks motivates infrastructure for knowledge sharing across hetero https://pulse-3k2.pages.dev/news/b9b71032a183 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Investigating Human-Model Discrepancies in Speech Quality Assessment via Acoustic and Prosodic Perturbations arXiv:2606.19951v1 Announce Type: cross Abstract: Mean opinion score (MOS) prediction models are widely used as proxy metrics in text-to-speech (TTS) research, yet their ability to capture quality dif https://pulse-3k2.pages.dev/news/cb6fa0a0729e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Segment-Level Mandarin Chinese Speech-Based Cognitive Impairment Detection via an Autoencoder with Contrastive Learning arXiv:2606.19996v1 Announce Type: cross Abstract: \noindent\textbf{Background and Objective:} Speech has emerged as a low-cost and non-invasive digital biomarker with considerable potential for cognit https://pulse-3k2.pages.dev/news/7bb6350ef5fa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents arXiv:2606.20023v1 Announce Type: cross Abstract: As LLM agents increasingly select tools autonomously, their choices among tools with different privileges become safety-relevant. However, prior tool- https://pulse-3k2.pages.dev/news/0e487551273c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines arXiv:2606.20065v1 Announce Type: cross Abstract: People increasingly get answers straight from AI search engines like ChatGPT, Claude, Perplexity, and Gemini rather than scrolling search results. Bra https://pulse-3k2.pages.dev/news/feb6d82329af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PASQA: Pitch-Accent-Focused Speech Quality Assessment Model Trained on Synthetic Speech with Accent Errors arXiv:2606.20137v1 Announce Type: cross Abstract: Existing mean opinion score (MOS) prediction models typically predict utterance-level naturalness MOS and can be insensitive to localized pitch-accent https://pulse-3k2.pages.dev/news/444e952bbf83 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Prompt: Improving Student Engagement with Adaptive LLM-based High-School Tutoring arXiv:2606.20138v1 Announce Type: cross Abstract: LLMs can personalize education, although current static-prompt tutoring systems struggle to adapt to diverse academic disciplines. We develop and test https://pulse-3k2.pages.dev/news/ce974d611fad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NAMESAKES: Probing Identity Memorization in Text-to-Image Models arXiv:2606.20155v1 Announce Type: cross Abstract: Text-to-image (T2I) models generate realistic likenesses of some individuals when prompted with their names, raising privacy concerns. However, distin https://pulse-3k2.pages.dev/news/990738c52b07 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Apparent Psychological Profiles of Large Language Models are Largely a Measurement Artifact arXiv:2606.20205v1 Announce Type: cross Abstract: Psychological instruments designed for humans are increasingly used to assign large language models (LLMs) stable psychological profiles that affect t https://pulse-3k2.pages.dev/news/7803d8f76bcf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Token-Operations-Oriented Inference Optimization Techniques for Large Models arXiv:2606.20295v1 Announce Type: cross Abstract: Large model inference optimization serves as a key foundation for supporting the scalable, low-cost, and highly stable operation of large model servic https://pulse-3k2.pages.dev/news/767a9b1c8fbf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scalable Training of Spatially Grounded 2D Vision-Language Models for Radiology arXiv:2606.20477v1 Announce Type: cross Abstract: We study how to train visually grounded vision-language models (VLMs) for radiology without manual spatial annotations. We introduce RefRad2D, a large https://pulse-3k2.pages.dev/news/64555e82e30f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LedgerAgent: Structured State for Policy-Adherent Tool-Calling Agents arXiv:2606.20529v1 Announce Type: cross Abstract: Policy-adherent tool-calling agents in customer-service domains must maintain task states across turns while calling tools and obeying domain policies https://pulse-3k2.pages.dev/news/676205cdbcff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Med-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation arXiv:2504.02885v2 Announce Type: replace Abstract: Automated medical report generation (MRG) is increasingly used to reduce the burden of manual reporting and for decision support. Large vision-langu https://pulse-3k2.pages.dev/news/e971e77c04cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law arXiv:2507.00875v3 Announce Type: replace Abstract: Translating Hong Kong Court Judgments from English to Traditional Chinese is mandated by Articles 8-9 of the Basic Law, yet remains constrained by a https://pulse-3k2.pages.dev/news/90fc72a3c549 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents arXiv:2508.04266v4 Announce Type: replace Abstract: Existing benchmarks in e-commerce primarily focus on basic user intents, such as finding or purchasing products. However, real-world users often pur https://pulse-3k2.pages.dev/news/4795526d9eeb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Construction to Injection: Edit-Based Fingerprints for Large Language Models arXiv:2509.03122v4 Announce Type: replace Abstract: Reliable model fingerprints are essential for protecting large language models (LLMs) against unauthorized redistribution and commercial misuse. In https://pulse-3k2.pages.dev/news/5e0ceabc9fb9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation arXiv:2510.18383v3 Announce Type: replace Abstract: Distilling the tool-use capabilities of large language models (LLMs) into small language models (SLMs) is essential for their practical application. https://pulse-3k2.pages.dev/news/23351baf6894 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving Alignment Between Human and Machine Codes: An Empirical Assessment of Prompt Engineering for Construct Identification in Psychology arXiv:2512.03818v2 Announce Type: replace Abstract: Due to their architecture and vast pre-training data, large language models (LLMs) demonstrate strong text classification performance. However, LLM https://pulse-3k2.pages.dev/news/f35fbf53bdf8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toward Human-Centered AI-Assisted Terminology Work arXiv:2512.18859v3 Announce Type: replace Abstract: Generative AI is likely to transform terminology work by creating new opportunities for automation. At the same time, it raises concerns about the f https://pulse-3k2.pages.dev/news/5e15a4f35fb3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DeFrame: Debiasing Large Language Models Against Framing Effects arXiv:2602.04306v2 Announce Type: replace Abstract: As large language models (LLMs) are increasingly deployed in real-world applications, ensuring their fair responses across demographics has become c https://pulse-3k2.pages.dev/news/d87943d85a7c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OpenLID-v3: Improving the Precision of Closely Related Language Identification -- An Experience Report arXiv:2602.13139v4 Announce Type: replace Abstract: Language identification (LID) is an essential step in building high-quality multilingual datasets from web data. Existing LID tools (such as OpenLID https://pulse-3k2.pages.dev/news/98607690c1b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Omnilingual SONAR: Cross-Lingual and Cross-Modal Sentence Embeddings Bridging Massively Multilingual Text and Speech arXiv:2603.16606v3 Announce Type: replace Abstract: Cross-lingual sentence encoders typically cover only a few hundred languages and often trade downstream quality for stronger alignment, limiting the https://pulse-3k2.pages.dev/news/eb5f5ab728da 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e4af48d71f64 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20515/gradient.png S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence Abstract S-Agent is a spatial reasoning framework that enhances visual language models with temporal memory and hierarchical spatial tools to enable continuous 3D world understanding from multi-view i https://pulse-3k2.pages.dev/news/c5bdb9bab554 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f7e0cb7cdaa8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20563/gradient.png JanusMesh: Fast and Zero-Shot 3D Visual Illusion Generation via Cross-Space Denoising Abstract A fast, training-free framework generates text-driven 3D visual illusions by decoupling generation into cross-space dual-branch denoising and view-conditioned texture synthesis for seamless g https://pulse-3k2.pages.dev/news/5ac09dba5d6f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16817/gradient.png Understanding the Behaviors of Environment-aware Information Retrieval Abstract Large language models can be trained via reinforcement learning to adapt query formulation strategies for different retrievers, with distinct optimal query styles and improved performance thr https://pulse-3k2.pages.dev/news/ed136d81684f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19605/gradient.png FAPO: Fully Autonomous Prompt Optimization of Multi-Step LLM Pipelines Abstract FAPO optimizes LLM pipelines by combining prompt editing with structural changes, demonstrating superior performance across multiple benchmarks and security tasks. Generated by Qwen/Qwen2.5-C https://pulse-3k2.pages.dev/news/8c0f71d85f6c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/813c4b7569be 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7daa5add1762 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15527/gradient.png Selective Synergistic Learning for Video Object-Centric Learning Abstract Selective Synergistic Learning (SSync) addresses limitations in video object-centric learning by selectively distilling reliable cues through pseudo-labeling and transitive merging to improve https://pulse-3k2.pages.dev/news/c3cb966e275a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6baafb7900f1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18231/gradient.png Adaptive Volumetric Mechanical Property Fields Invariant to Resolution Abstract AdaVoMP predicts dense spatially-varying mechanical properties for 3D objects using a sparse adaptive voxel structure and transformer encoder-decoder model, enabling realistic deformable simu https://pulse-3k2.pages.dev/news/d5dbfb780fe3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.20506/gradient.png FreeStyle: Free Control of Style-Content Dual-Reference Generation from Community LoRA Mining Abstract FreeStyle is a scalable dual-reference generation framework that uses community LoRA mining to create large-scale style-content triplets while addressing content leakage through disentangleme https://pulse-3k2.pages.dev/news/231474d66b97 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e9bc1a82946d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19704/gradient.png Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents Abstract Aggregate-score leaderboards in agent benchmarks fail to capture deployment-relevant dimensions and show rank instability, necessitating new evaluation frameworks based on predictive validity https://pulse-3k2.pages.dev/news/24df6319f5e9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/037c8044c197 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19195/gradient.png Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance Abstract A lightweight image inpainting framework achieves high-fidelity results with significantly reduced parameters and inference time through novel local-global interaction blocks and adaptive dis https://pulse-3k2.pages.dev/news/da4aceee5a13 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16122/gradient.png Thinking with Visual Grounding Abstract Visually grounded thinking integrates natural-language reasoning with explicit visual evidence grounding in vision-language models, improving reasoning accuracy through scalable synthesis and https://pulse-3k2.pages.dev/news/19fd72d4f2bf 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19495/gradient.png LooseControlVideo: Directorial Video Control using Spatial Blocking Abstract LooseControlVideo enables intuitive 3D spatial control in text-to-video generation using sparse oriented 3D boxes as proxies, achieving superior trajectory accuracy and occlusion handling com https://pulse-3k2.pages.dev/news/aa5dc8763f0c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d203bc377da6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/88fc33e692fe 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2018/03/gettyimages-824355868.jpg?resize=1200,760 Source: Elastic agrees to buy CRV-backed DeductiveAI for up to $85M DeductiveAI, a startup that uses AI to catch and resolve bugs in software, was founded just three years ago. https://pulse-3k2.pages.dev/news/19d5b6845458 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/45591497a973 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/12baecad60c3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f58f76bdac67 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/datasette-timeline-app.jpg Datasette Apps: Host custom HTML applications inside Datasette Today we launched a new plugin for Datasette, datasette-apps , with this launch announcement post on the Datasette project blog. That post has the what , but I'm going to expand on that a little bit h https://pulse-3k2.pages.dev/news/1f16d78a8025 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!y1XO!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F08eb37ec-e431-4be5-a4d2-79213b81651a_1418x716.png Fable Got Banned, Open Source Delivered: GLM-5.2, Kimi K2.7 & SpaceX Buys Cursor - June 18 From CoreWeave (W&B): Fable is gone (for now). Here's everything else that happened this week: GLM-5.2 takes the open source crown, SpaceX buys Cursor for $60B, and 3 guests on the show today! https://pulse-3k2.pages.dev/news/128bba0146f7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18910/gradient.png REVES: REvision and VErification--Augmented Training for Test-Time Scaling Abstract A two-stage iterative framework alternates between data augmentation and policy optimization to improve LLM reasoning by leveraging intermediate correction steps, achieving superior performan https://pulse-3k2.pages.dev/news/b9d7a037efcc 2026-07-02 monthly 0.7 https://images.unsplash.com/photo-1695112956255-8878a4443236?crop=entropy&amp;cs=tinysrgb&amp;fit=max&amp;fm=jpg&amp;ixid=M3wzMDAzMzh8MHwxfHNlYXJjaHwyfHxhaXJwb2RzJTIwd29tYW4lMjBidXN8ZW58MHx8fHwxNzc5MjcwNzA2fDA&amp;ixlib=rb-4.1.0&amp;q=80&amp;w=1080 The AirPods Effect Article URL: https://www.theescapenewsletter.com/p/the-airpods-effect Comments URL: https://news.ycombinator.com/item?id=48592832 Points: 323 # Comments: 576 https://pulse-3k2.pages.dev/news/6d5ed3131344 2026-07-02 monthly 0.7 https://preview.redd.it/6q0c0lgtd48h1.png?width=140&amp;height=140&amp;auto=webp&amp;s=8d3e95ca7f0c19fe5f6877ada54c5f675e39dac8 LQ50/LQ50-24GB cost around $1200 Well found this shit on TAOBAO very expensive &#32; submitted by &#32; /u/MundanePercentage674 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/052fc4ef4672 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.06614/gradient.png Re-Centering Humans in LLM Personalization Abstract Human-centered evaluation reveals significant gaps between synthetic and real-world LLM personalization performance, with models struggling to extract user attributes and generate truly perso https://pulse-3k2.pages.dev/news/823456a9da52 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/995fa9461c51 2026-07-02 monthly 0.7 https://blog.modelcontextprotocol.io/og-image.png Zero-Touch OAuth for MCP Article URL: https://blog.modelcontextprotocol.io/posts/enterprise-managed-auth/ Comments URL: https://news.ycombinator.com/item?id=48592163 Points: 202 # Comments: 66 https://pulse-3k2.pages.dev/news/5202440ae0c0 2026-07-02 monthly 0.7 https://preview.redd.it/ih1qvjag148h1.png?width=140&amp;height=75&amp;auto=webp&amp;s=df03755e1daa6b7422cf4fa4d47f3beaf11a564d Giving GLM-5.2 a spin locally on CPU only! (poor man's rig for big models) This is the UD-Q2-K_XL quant. Hardware is: Model: Dell PowerEdge R740 CPU: Dual Xeon 6248R (24 cores each) RAM: 768 GB (All memory channels populated) I'm using ik_llama.cpp which provides some signif https://pulse-3k2.pages.dev/news/f3140fcb7205 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cac668d0a026 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Taiwan-military-drones-1152x648.jpg As China looms, Taiwan makes more drones for defense and the US military Taiwan's drone spending plans for defense could also boost business overseas. https://pulse-3k2.pages.dev/news/65216556a7a2 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/03/GettyImages-1502217391.jpg?resize=1200,800 AI inference startup Baseten reportedly raising $1.5B months after its last mega round Startup Baseten is reportedly close to finalizing a $1.5 billion round at a $13 billion as the “inference gold rush" marches on. https://pulse-3k2.pages.dev/news/d5e87b22fc9d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3857083b3f03 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2281911508.jpg?resize=1200,856 Snap spins off AI video team into new company, Dotmo, due to costs The Snapchat maker is spinning off yet another internal unit. Dotmo will be comprised of current Snap staff who are leaving the social media company to focus on AI video development. https://pulse-3k2.pages.dev/news/1b3274b1c886 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f53aff1afeef 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/noam-shazeer-deal-ball.png?resize=1200,800 OpenAI is bringing on some big guns in the lead-up to its IPO OpenAI is bulking up before its IPO, landing Transformer co-inventor Noam Shazeer from Google DeepMind and former Trump AI policy official Dean Ball in the same week. https://pulse-3k2.pages.dev/news/f8a541b28e50 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15514/gradient.png Reinforcement Learning-Guided Retrieval with Soft Fusion for Robust Multimodal Imitation Learning under Missing Modalities Abstract RL4IL enables robust robotic manipulation under sensor dropout by using reinforcement learning to retrieve relevant demonstrations and cross-attention fusion to impute missing modalities with https://pulse-3k2.pages.dev/news/07333a7733db 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18531/gradient.png When Does Trajectory-Level Supervision Permit Efficient Offline Reinforcement Learning? Abstract Offline reinforcement learning with trajectory-level outcome supervision presents statistical challenges that can be addressed through pessimistic actor-critic methods, though fundamental bar https://pulse-3k2.pages.dev/news/a02bfe91b857 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/a64e6daa6a62050ffe8e29ec8d80acde530abdc505ba013d844b1358b4c6debf/langchain-ai/langchain/releases/tag/langchain%3D%3D1.3.10 langchain==1.3.10 Changes since langchain==1.3.9 release(langchain): 1.3.10 ( #38255 ) chore: bump cryptography from 46.0.7 to 48.0.1 in /libs/langchain_v1 ( #38176 ) chore: bump aiohttp from 3.14.0 to 3.14.1 in /libs/ https://pulse-3k2.pages.dev/news/68595e095465 2026-07-02 monthly 0.7 https://preview.redd.it/sus4wqc9g38h1.png?width=140&amp;height=102&amp;auto=webp&amp;s=4b3e6533336f21d845fda4ea615fc9475c648c2c Neuron Populations Exhibit Divergent Selectivity with Scale [R] Hi! We just released a paper where we study “Rosetta Neurons”: universal neurons across different neural networks, and their relationship to scaling laws, specialization, and monosemanticity. Would lo https://pulse-3k2.pages.dev/news/be853ea3e6ea 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/43ec3780b4c875641baf427b0cc64984af89389f753f1905abce1165e1f493ba/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.4.8 langchain-core==1.4.8 Changes since langchain-core==1.4.7 chore: bump jupyter-server from 2.18.0 to 2.20.0 in /libs/core ( #38252 ) chore: bump tornado from 6.5.6 to 6.5.7 in /libs/core ( #38184 ) chore: bump bleach from 6 https://pulse-3k2.pages.dev/news/5ffdb92453e5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/68a519e26dde 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/48ac507bf6cf 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/05/GettyImages-1131615694.jpg?resize=1200,800 Almost half of U.S. singles feel negatively about AI in dating, Match says About 47% of singles look negatively at the use of AI in dating -- but, many dating app users are open to AI helping with profile punch-ups and conversation starters. https://pulse-3k2.pages.dev/news/8b796c198a24 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13898/gradient.png HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing Abstract A novel token compression framework called HiLo-Token is introduced to accelerate Diffusion Transformers in image editing tasks by adaptively allocating tokens based on spatial frequency and https://pulse-3k2.pages.dev/news/9cb4bd1cbda9 2026-07-02 monthly 0.7 https://www.thatprivacyguy.com/blog/assets/2026-06-18-001.png I told them forced consent was unlawful. 5 years later it cost Elkjop €1.8M https://web.archive.org/web/20260618212028/https://www.thatp... https://archive.ph/I4zjA Comments URL: https://news.ycombinator.com/item?id=48589501 Points: 265 # Comments: 117 https://pulse-3k2.pages.dev/news/be26d7f567ae 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/11/GettyImages-1421680585.jpg?resize=1200,675 Amazon hopes to challenge Nvidia more directly by selling its AI chips AWS is in talks to sell its chips to other data centers. CEO Andy Jassy has said this represents a $50 billion opportunity for the company. https://pulse-3k2.pages.dev/news/c03d0c46b0d2 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!4t5k!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F1c5c50c3-2820-4f82-8167-739ed3e24e83_1664x1109.jpeg Accenture: Then and now, and how it may signify things to come Blip, or one more data point that is on trend? https://pulse-3k2.pages.dev/news/2eb5bcc3ad88 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/680ba1729f7688275d2ce0f4/hGCO4pOyJjijLPCbRT07v.webp MosaicLeaks: Can your research agent keep a secret? Back to Articles a]:hidden"> MosaicLeaks: Can your research agent keep a secret? Enterprise Article Published June 18, 2026 Upvote - Alexander Gurung agurung ServiceNow Rafael Pardinas rafapi-snow Ser https://pulse-3k2.pages.dev/news/2546a28faf37 2026-07-02 monthly 0.7 https://external-preview.redd.it/zL9yCcjQrGxN8Q_VQfvxpESPYOMMhDXqbjCpSj0Q-fg.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=0c996618c8a5ce9c92c71ac6704fd8da896255a1 Updates on North Mini Code: 4 bit quant + Ollama + OpenRouter Hey! We heard the feedback on making the model more portable and accessible. So in light of that we have 2 updates to share. First, you can pull a new 4-bit quant straight from Hugging Face , so it’s https://pulse-3k2.pages.dev/news/8690068529dc 2026-07-02 monthly 0.7 https://preview.redd.it/ensz6vvpw28h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=f94647a90a134a3d20d4193da4b40ea6932dfe14 LFM2.5-Embedding-350M & LFM2.5-ColBERT-350M LFM2.5-Embedding-350M is a dense bi-encoder for fast multilingual retrieval. It produces a single vector per document — the smallest, fastest index — for reliable cross-lingual search across 11 langua https://pulse-3k2.pages.dev/news/cadb3123daaa 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/12/Energy-sector-Getty.jpg?resize=1200,801 AI data centers just got a government-mandated fast lane to the grid FERC told grid operators to give data centers a fast lane for interconnections, but it failed to address electricity supply shortages. https://pulse-3k2.pages.dev/news/c0e4576bfb6f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9f91978957cd 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!kumG!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F0422ec73-8239-45ef-aede-51a7cfb19b47_1166x1104.png The Professor of Outputmaxxing — Anjney Midha, AMP We talk about how this legendary investor went from humble beginnings in Singapore to leading rounds in Anthropic, Mistral, Black Forest Labs, and Periodic Labs... and the AMP secret master plan! https://pulse-3k2.pages.dev/news/a640b2b37ec1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/821cc2c092a1 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2238192342.jpg?resize=1200,800 The smartphone era created an attention crisis. Slowtech is fixing it “People just really want to take back control of their time, their lives, their attention... They’re down for whatever helps them do that.” https://pulse-3k2.pages.dev/news/6972f1236194 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2230233284-1152x648.jpg Bernie Sanders unveils $7 trillion plan to give Americans control of AI industry Biggest AI firms will likely recoil at Bernie Sanders' AI wealth fund. https://pulse-3k2.pages.dev/news/450d5ccfb160 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/1ehSOdp5G7FxMMtynCUoLV/c5d7539672c8a3dd93a3c058f70e7661/Spend_Controls_SEO.png?w=1600&amp;h=900&amp;fit=fill New usage analytics and updated spend controls for enterprises OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence. https://pulse-3k2.pages.dev/news/0077b30bba17 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-182884083.jpg?resize=1200,800 How to turn off AI in your Google Docs Here's what you need to do to get those pesky "write with Gemini" pop-ups to go away. https://pulse-3k2.pages.dev/news/1027fcbb81e9 2026-07-02 monthly 0.7 https://static.independent.co.uk/s3fs-public/thumbnails/image/2009/06/10/22/185577.jpg?width=1200&height=800&crop=1200:800 The founder of Craigslist has given away half a billion dollars Article URL: https://www.independent.co.uk/us/money/craigslist-multimillionaire-craig-newmark-b2980681.html Comments URL: https://news.ycombinator.com/item?id=48588216 Points: 233 # Comments: 155 https://pulse-3k2.pages.dev/news/fa005da25a91 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/KaramoBrown-Ke.jpg?resize=1200,800 &#8216;Queer Eye&#8217;s&#8217; life coach Karamo Brown launches Kē, a wellness app featuring his AI digital clone Karamo Brown, famous for his pep talks on Netflix&#8217;s “Queer Eye,” has jumped into the wellness and AI space with his new app, Kē. After spending a year and a half focusing on his own journey—from https://pulse-3k2.pages.dev/news/082561d944ee 2026-07-02 monthly 0.7 https://external-preview.redd.it/vHCU5AFU0BwrXZl0c0jt_f_O2yQ-jV1nc7SNtokYWKU.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=09eca81f311eecad4b4ad37a95cabbddf0e51bf0 poolside/Laguna-M.1 · Hugging Face - 225B-A23B Laguna M.1 Laguna M.1 is a 225B total parameter Mixture-of-Experts model with 23B activated parameters per token designed for agentic coding and long-horizon work. Highlights Large sparse MoE for agen https://pulse-3k2.pages.dev/news/ad5da88959c5 2026-07-02 monthly 0.7 https://external-preview.redd.it/LLJ5zrJYT9J-Be36oi4xoMbv4rXQ3qUHEPefpSoz9uU.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=adde056a5634be34132f582a7fe957a80fa620da Cutting LLM Token Costs with rtk, headroom, and caveman - savings measured on real workloads rtk , headroom , and caveman keep showing up whenever someone posts about cutting their token bill 60-90%. I wanted to know what they save on an actual bill instead of a benchmark, so I replayed all t https://pulse-3k2.pages.dev/news/1bc5f02d8c51 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/730cdc7e4960 2026-07-02 monthly 0.7 https://external-preview.redd.it/bHN0c3BqYXhiMjhoMb-0qJZhMtLQzwaqAhPoFYJW1EhpBWwin11-ooIepjJk.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=8dda80e954f4721a9ef958998cedacbc0c903027 My suitcase robot gets high now off a real gas sensor wired straight into the LLM sampler. Smoke raises temperature/top_p/top_k live, so his speech genuinely gets loopier and never repeats. Follow-up on Sparky, my offline suitcase robot I keep overdeveloping. He gets high now, and there's no scripted "stoned mode" anywhere in it. A real MQ-2 gas sensor sits in the case. Every 0.5s I read https://pulse-3k2.pages.dev/news/6f39ded7e039 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2c2b3cc259a3 2026-07-02 monthly 0.7 https://preview.redd.it/pi7i24q2828h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=8771153004b2555a8acdb1d541c6944404dc28f5 GLM-5.2 inference is free on Hugging Face for the next 6 hours doc: https://huggingface.co/docs/inference-providers/index a cool prompt to try first: https://huggingface.co/chat/r/aFATtCW?leafId=ed28d5b0-d99b-40be-ba8b-315b1f450e5a &#32; submitted by &#32; /u/paf https://pulse-3k2.pages.dev/news/67ccffb11417 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3020abb0d93b 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/General-intuition.png?w=880 General Intuition in talks to raise $300M at around $2B valuation General Intuition is in talks to raise around $300 million at a roughly $2 billion valuation from backers including Jeff Bezos. The startup trains AI agents on spatial-temporal reasoning. https://pulse-3k2.pages.dev/news/c46bc56c5b29 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d03da0b26ab3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2264911748.jpg?resize=1200,705 A tech worker-backed PAC is bringing a $5M knife to Big Tech’s $100M gunfight Guardrails positions itself as a populist political movement that runs on small donations from people in the trenches of the AI boom. https://pulse-3k2.pages.dev/news/47c449510669 2026-07-02 monthly 0.7 https://www.submission.directory/og.png A website that lists websites to submit your website to Article URL: https://www.submission.directory/ Comments URL: https://news.ycombinator.com/item?id=48586631 Points: 263 # Comments: 72 https://pulse-3k2.pages.dev/news/318cbd9676c8 2026-07-02 monthly 0.7 https://preview.redd.it/oj35cq74328h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=bc6ed7d16ec1002bf28b7c8f44852d26dd7aab14 GLM-5.2 Is The Best Open Weight Creative Writing Model As Per Sam Paech's Creative Writing Benchmark on EQ Bench: https://eqbench.com/creative_writing.html &#32; submitted by &#32; /u/Few_Painter_5588 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/91a939392ff8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19162/gradient.png The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL Abstract Discriminator-Guided Reinforcement Learning (DRL) addresses alignment issues in score- and flow-matching models by using a pretrained representation space discriminator as an optimal reward s https://pulse-3k2.pages.dev/news/e1545184e2b5 2026-07-02 monthly 0.7 https://external-preview.redd.it/BeEPdz_yNWFN138PIIKviGlV0jg1UppFNwX0xt9mIeg.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=d4baa755d4b5a6d080ee7fa32b1bbdbd9697a52e unsloth GLM-5.2-GGUF , including 2bit at 238GB &#32; submitted by &#32; /u/okaycan [link] &#32; [comments] https://pulse-3k2.pages.dev/news/29d7de925857 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17800/gradient.png MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model Abstract MaineCoon represents the first real-time audio-visual autoregressive model for social worlds, achieving high frame rates and long-horizon generation through novel training techniques and infe https://pulse-3k2.pages.dev/news/1abb2705171c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d1c271088b6e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/971b8f8a79a4 2026-07-02 monthly 0.7 https://cdn.blog.svc.ui.com/ENAS_Thumb_5f1852f45c.jpg Ubiquiti: Enterprise NAS, Built on ZFS Article URL: https://blog.ui.com/article/introducing-enterprise-nas Comments URL: https://news.ycombinator.com/item?id=48585866 Points: 281 # Comments: 254 https://pulse-3k2.pages.dev/news/693372a64b24 2026-07-02 monthly 0.7 https://production-livingdocs-bluewin-ch.imgix.net/2025/06/02/2a912d11-f11a-4284-b588-adbfeade059b.jpeg?w=1200&amp;h=630&amp;fit=crop&amp;crop=faces Swiss parliament lifts ban on new nuclear power plants Article URL: https://www.bluewin.ch/en/news/switzerland/parliament-lifts-ban-on-new-nuclear-power-plants-3257535.html Comments URL: https://news.ycombinator.com/item?id=48585746 Points: 241 # Comments https://pulse-3k2.pages.dev/news/b004f2e1ade8 2026-07-02 monthly 0.7 https://external-preview.redd.it/dmZsaDR5emhsMThoMeMSBwydZmUw7yinDdNyUMW08K2WQ9CPCeK1bkQyDQHp.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=1af163db33540703892a1cb0fd361bf5de79f083 the power of intelligence is better in the hands of the people than in the board rooms of tycoons. Hey [ r/localllama ]( r/localllama ). I wanted to share what's new with our open source PearlOS project since you all last saw (90 days ago). But first I want to give a massive thank you to this commu https://pulse-3k2.pages.dev/news/cc703c1c8460 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5fb4b5cac03d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18558/gradient.png MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction Abstract 3D point motion forecasting model predicts object trajectories from visual history and language goals, demonstrating superior performance on benchmarks and transferring effectively to robot m https://pulse-3k2.pages.dev/news/7686058e18e1 2026-07-02 monthly 0.7 https://preview.redd.it/igc7e045o18h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=4942cbeed539971c8b90db211dbd9b6cbbc108e0 GLM's founder says GLM-fable before the end of the year?! &#32; submitted by &#32; /u/Charuru [link] &#32; [comments] https://pulse-3k2.pages.dev/news/611e023cda69 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!33FQ!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Ff935ec40-9a39-42e1-8bc2-eb8d4c04211c_444x403.png AI #173: AI Pauses A lot of things are always happening. https://pulse-3k2.pages.dev/news/ec67e9311943 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14024/gradient.png ViT-Up: Faithful Feature Upsampling for Vision Transformers Abstract ViT-Up is a feature upsampling framework for Vision Transformers that uses layer-wise query construction from hidden states to improve dense prediction tasks, outperforming existing image-gui https://pulse-3k2.pages.dev/news/3f725cc7d3a2 2026-07-02 monthly 0.7 https://external-preview.redd.it/O1bCUE8VtS10rZLXG6wmJNIr0tnz6J-i82WnQ5-LrhI.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=49bac104b5c5c83f524902d7189f03dcc7d8ba49 OSS models decisively overtook Proprietary models in market share (based on the last 3 months of OpenRouter data) &#32; submitted by &#32; /u/Comfortable-Rock-498 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/5adce24c8c44 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12629/gradient.png Bag of Dims: Training-Free Mechanistic Interpretability via Dimension-Level Sign Patterns Abstract The standard basis of transformer hidden states serves as a training-free, architecture-general feature representation where individual dimensions encode semantic content through signs and co https://pulse-3k2.pages.dev/news/836bfeaec342 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09764/gradient.png iOSWorld: A Benchmark for Personally Intelligent Phone Agents Abstract IOSWorld is introduced as the first interactive native iOS simulator benchmark featuring persistent user identity across multiple apps to evaluate personalized mobile agent capabilities. Gene https://pulse-3k2.pages.dev/news/491d2c76d6b9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16748/gradient.png MyPCBench: A Benchmark for Personally Intelligent Computer-Use Agents Abstract MyPCBench evaluates computer-use agents as personal assistants in a simulated Linux desktop environment with real-world web applications, revealing that Claude Opus 4.6 achieves the highest t https://pulse-3k2.pages.dev/news/b6749942d343 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f0a72798b0b0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9abba6b75997 2026-07-02 monthly 0.7 https://blog.elenarossini.com/content/images/size/w1200/2026/06/WSocial-followup-cover-v4.jpg W Social, public institutions and the theater of European digital sovereignty Article URL: https://blog.elenarossini.com/w-social-public-institutions-and-the-theater-of-european-digital-sovereignty/ Comments URL: https://news.ycombinator.com/item?id=48584497 Points: 219 # Comme https://pulse-3k2.pages.dev/news/a187cf7a71ed 2026-07-02 monthly 0.7 https://bostonglobe-prod.cdn.arcpublishing.com/resizer/v2/KQQIESDPSUJAFAGRI4AX4XZ36Y.jpg?auth=bd3849d7f6e13cf8d76517df8af41be054f801c65a38cb7ae28844015f11c64f&amp;width=1440 15-minute at-home Lyme disease tick test https://archive.ph/cNwmN Comments URL: https://news.ycombinator.com/item?id=48584261 Points: 227 # Comments: 149 https://pulse-3k2.pages.dev/news/798cbc4b638f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13802/gradient.png A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets Abstract A benchmark for predicting spreadsheet user actions is introduced, addressing challenges in edit history availability and complex action spaces through manual curation and online evaluation m https://pulse-3k2.pages.dev/news/d5a5be699b48 2026-07-02 monthly 0.7 https://www.windowslatest.com/wp-content/uploads/2026/06/Clicking-Outlook-notifications-will-take-longer-to-load-the-email-than-if-you-open-the-app-and-find-the-mail-directly.jpg Microsoft new Outlook takes 10 seconds to do what Outlook Classic does instantly Article URL: https://www.windowslatest.com/2026/06/15/microsofts-new-outlook-takes-10-seconds-to-do-what-outlook-classic-does-instantly-on-windows/ Comments URL: https://news.ycombinator.com/item?id=4 https://pulse-3k2.pages.dev/news/7361c29f8ffe 2026-07-02 monthly 0.7 https://www.rahuljuliato.com/assets/blog/posts/emacs-31-around-the-corner.png Emacs 31 is around the corner: The changes I'm daily driving Article URL: https://www.rahuljuliato.com/posts/emacs-31-around-the-corner Comments URL: https://news.ycombinator.com/item?id=48584135 Points: 286 # Comments: 134 https://pulse-3k2.pages.dev/news/52ebea617cb5 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/pixi-app-screen-6-e1781642459181.jpeg?w=796 Pixi&#8217;s new iOS app turns text messages into interactive AR experiences Forget stickers, GIFs, and emoji reactions. Pixi is betting that the next evolution of messaging is interactive augmented reality (AR). https://pulse-3k2.pages.dev/news/f70d069a38b4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11877/gradient.png LLM-Enabled NWDAF: A Step Toward AI-Native 6G Network Intelligence Abstract An open-source Network Data Analytics Function compatible with Free5GC integrates a Large Language Model interface for natural language interaction and intent-based network management. Genera https://pulse-3k2.pages.dev/news/188f6535dff1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d4b74dfb4cfa 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19236/gradient.png STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability Abstract GRPO algorithms face policy entropy collapse during training, which STARE addresses through surprisal-guided token-level advantage reweighting and target-entropy regulation to maintain stable https://pulse-3k2.pages.dev/news/d2b4a784ba08 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5a0a74813a08 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8830d5d70fe7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18717/gradient.png Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish Abstract A neural morpheme-boundary model for Turkish achieves lossless tokenization and morphology-aware embeddings with improved efficiency and performance over traditional subword methods. Generate https://pulse-3k2.pages.dev/news/f35c8108d4d4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17682/gradient.png From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning Abstract A framework automates environment redesign in reinforcement learning for large language models by having the policy analyze failures and suggest configuration changes, achieving superior perf https://pulse-3k2.pages.dev/news/c3fdeffe8bbf 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZDR0d2tnZTR6MDhoMfWNxMgYwpHxuinx048xhDqtpcDeeO3pxE5NoZA_vX9j.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=bb59f6a56727fe9ba181189c50e54733cd76aa2b gave my local llm agent mcp tools for local image + video gen, so it just generates when i ask (fully offline+free) free and open source, runs fully offline. the local llm agent does the image and video gen itself via mcp tools. details and github in the comments. &#32; submitted by &#32; /u/GroundbreakingMall54 [l https://pulse-3k2.pages.dev/news/eaff5558fe39 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/91080aa22dd8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9f4dbdd37bfa 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4yWq9ysTsvnlOm2FZUVYQ1/bec481613bb7762c6afbd6bec2edbdae/16x9_Health_SEO_1.png?w=1600&amp;h=900&amp;fit=fill Improving health intelligence in ChatGPT Learn how GPT-5.5 Instant improves ChatGPT’s health and wellness responses with stronger reasoning, better context, clearer communication, and physician-informed evaluations. https://pulse-3k2.pages.dev/news/0f78c33ac513 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18967/gradient.png EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts Abstract EfficientRollout is a system-aware self-speculative decoding framework that accelerates reinforcement learning rollouts by adapting drafters to evolving policies and optimizing speculative de https://pulse-3k2.pages.dev/news/3eb41e5d35fe 2026-07-02 monthly 0.7 https://www.kcl.ac.uk/newimages/folsm/main-article/bmb/immunotherapy.x188e82a2.png Hospitals and universities repurposing drugs at 90% lower cost Article URL: https://www.kcl.ac.uk/news/hospitals-and-universities-repurposing-drugs-at-90-lower-cost Comments URL: https://news.ycombinator.com/item?id=48583386 Points: 218 # Comments: 88 https://pulse-3k2.pages.dev/news/4bce2848cf1a 2026-07-02 monthly 0.7 https://nelson.cloud/.gitignore-isnt-the-only-way-to-ignore-files-in-git/og.png .gitignore Isn't the only way to ignore files in Git Article URL: https://nelson.cloud/.gitignore-isnt-the-only-way-to-ignore-files-in-git/ Comments URL: https://news.ycombinator.com/item?id=48583356 Points: 210 # Comments: 64 https://pulse-3k2.pages.dev/news/16a78e99dcbb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dfb02d347718 2026-07-02 monthly 0.7 https://s0.wp.com/_si/?t=eyJpbWciOiJodHRwczpcL1wvaTAud3AuY29tXC9zdHJhdGVjaGVyeS5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMThcLzAzXC9jcm9wcGVkLWFuZHJvaWQtY2hyb21lLTUxMng1MTItMS5wbmc_Zml0PTUxMiUyQzUxMiZzc2w9MSIsInR4dCI6IlN0cmF0ZWNoZXJ5IGJ5IEJlbiBUaG9tcHNvbiIsInRlbXBsYXRlIjoiZWRnZSIsImZvbnQiOiIiLCJibG9nX2lkIjoxODgwNDM0MTV9.5VWck4PcKPWCTPe_HVznn3n3xsgn-G0b3d2OeiNNC7cMQ An Interview with Michael Morton About E-Commerce in the Age of AI An interview with Michael Morton about e-commerce and AI, including the challenges of unfalsifiable bear cases, distribution versus referal models, grocery, and autonomous vehicles. https://pulse-3k2.pages.dev/news/797f2b939544 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/945cbca7efea 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/153dc58630b7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1229e29c141f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.05985/gradient.png Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems Abstract Multicultural multi-agent systems exhibit limited value diversity despite cultural alignment, with social interaction reducing diversity and compromising collective decision-making breadth. G https://pulse-3k2.pages.dev/news/e26ab5283b1b 2026-07-02 monthly 0.7 https://external-preview.redd.it/S06mGO1g_9jOLqroAhmjWtxAAVuVcEfVYqLsQwRaljU.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=2d21b5404bf8f431cfa085db62f4c594a0d36d75 Kwai-Keye/Keye-VL-2.0-30B-A3B-GGUF · Hugging Face Meet Keye-VL-2.0-30B-A3B — the latest 30B-class flagship base model in the Keye series, purpose-built to push the frontier of long-video understanding and to unlock the first generation of Agent capab https://pulse-3k2.pages.dev/news/d6dd45d17acb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18375/gradient.png PAIWorld: A 3D-Consistent World Foundation Model for Robotic Manipulation Abstract PAIWorld enhances diffusion-transformer world models with geometric awareness and cross-view attention to improve multi-view 3D consistency for robotic manipulation tasks. Generated by Qwen/Q https://pulse-3k2.pages.dev/news/6771176a8314 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18874/gradient.png Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness Abstract Xcientist enables transparent and accountable AI-driven scientific research by creating persistent artifacts that track the complete research process from problem formulation to mechanism val https://pulse-3k2.pages.dev/news/a5c1d8d73e8a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f4dbc1a09b6f 2026-07-02 monthly 0.7 https://storage.ghost.io/c/f0/60/f060ef3f-d4e0-4af4-9255-1373fbf0a44f/content/images/size/w1200/2026/06/featured.jpg Can you see three trees? Article URL: https://www.not-ship.com/can-you-see-three-trees/ Comments URL: https://news.ycombinator.com/item?id=48582374 Points: 245 # Comments: 110 https://pulse-3k2.pages.dev/news/062ff82225af 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/add6b5385c14 2026-07-02 monthly 0.7 https://cdn.mos.cms.futurecdn.net/UdLqeSxzsPucb6GRFDjLm6-1600-80.jpg AMD silently removes memory encryption from consumer Ryzen CPUs Article URL: https://www.tomshardware.com/pc-components/cpus/amd-silently-removes-memory-encryption-from-consumer-ryzen-cpus-leaving-users-unaware-that-they-may-be-vulnerable-security-feature-vanishes https://pulse-3k2.pages.dev/news/edcdc2401b35 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/42SsGr6pOo6F7fcF0VZGGV/25583b98cb667d103adb7bf0476cafc5/SEO_Card_new.png?w=1600&amp;h=900&amp;fit=fill Using AI to help physicians diagnose rare genetic diseases affecting children Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases. https://pulse-3k2.pages.dev/news/293f70567a1d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b1170a94a79a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b85cff8012bf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fcbbbea62249 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b6888a127d79 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15872/gradient.png SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks Abstract SciOrch is a framework that uses a lightweight orchestrator model to coordinate multiple frontier LLMs for scientific reasoning, achieving superior performance through MCTS-based training and https://pulse-3k2.pages.dev/news/7ea330ae999c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/35c93572b0e5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19047/gradient.png RODS: Reward-Driven Online Data Synthesis for Multi-Turn Tool-Use Agents Abstract RODS addresses sample depletion in multi-turn tool-use reinforcement learning by dynamically synthesizing new data based on reward variance to maintain informative training samples. Generated https://pulse-3k2.pages.dev/news/a1b23ca4f6ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f0dbf125def0 2026-07-02 monthly 0.7 https://preview.redd.it/oe61t3vpcz7h1.jpg?width=140&amp;height=79&amp;auto=webp&amp;s=b81382abced1a5fd05c0db147b1cf0dc1d07e6d3 Multivariate Probability Models in Machine Learning [D] Hello Folks, we start our discussion on Lecture 10 of Probabilistic Machine Learning, now starting with Probability Multivariate Models. Univariate models are toy cases, in real life, ML models are mu https://pulse-3k2.pages.dev/news/952ac20a59c9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2401e42b0eda 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ee4e3c0346f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fbcaa8886707 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d553b7314a37 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6df639b575cf 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19341/gradient.png Native Active Perception as Reasoning for Omni-Modal Understanding Abstract OmniAgent is a novel omni-modal agent that addresses long video understanding by using an iterative observation-thought-action cycle with active perception, achieving superior performance com https://pulse-3k2.pages.dev/news/d79c0b63d5ac 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!_BAI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fpbs.substack.com%2Fmedia%2FHLDKY9bawAA-Lls.jpg [AINews] Midjourney Medical: scan your organs like you step on a scale The only bootstrapped frontier lab announces its second product and second https://pulse-3k2.pages.dev/news/899d2b9ec58d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17539/gradient.png Reinforcing Dual-Path Reasoning in Spatial Vision Language Models Abstract A unified framework for spatial vision-language models that combines linguistic deduction and 3D geometric reasoning through reinforcement learning, enabling robust spatial reasoning across d https://pulse-3k2.pages.dev/news/b872167bd694 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18322/gradient.png SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior Abstract Sparse Autoencoders' feature-level interventions may appear successful but can be circumvented through residual-space optimization that recovers original behaviors, revealing limitations in u https://pulse-3k2.pages.dev/news/18b8ad3ee64b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19120/gradient.png Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation Abstract ViGOS is a visually grounded on-policy self-distillation framework for multimodal large language models that improves image-grounded behavior by using specialized teachers for different stage https://pulse-3k2.pages.dev/news/972e261e20de 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gaussian Mixture Attention: Linear-Time Sequence Mixing via Probabilistic Latent Routing arXiv:2606.18283v1 Announce Type: new Abstract: The dense token-to-token interaction pattern of standard dot-product attention remains a central bottleneck in scaling Transformer architectures to long https://pulse-3k2.pages.dev/news/0f1587fd60eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier arXiv:2606.18284v1 Announce Type: cross Abstract: The limiting resource for training agents via reinforcement learning (RL) is increasingly frontier task supply: valid, solvable tasks just difficult e https://pulse-3k2.pages.dev/news/d7fb769365dd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CODEBLOCK: Learning to Supervise Code at the Right Granularity arXiv:2606.18286v1 Announce Type: new Abstract: Supervised fine-tuning of code LLMs typically applies uniform cross-entropy loss to all response tokens, implicitly assuming that every token provides e https://pulse-3k2.pages.dev/news/bef9ab791a06 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Artemis: Anatomy-Resolved inTervention for Eliminating Multimodal NeuroImage confounderS arXiv:2606.18287v1 Announce Type: new Abstract: Multimodal neuroimaging, integrating functional connectivity from fMRI and structural connectivity from DTI, enables non-invasive analysis of brain netw https://pulse-3k2.pages.dev/news/50a2b5883e3d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Link between Shock-wave Theory and Symmetry-reduced Stochastic Gradient Descent for Artificial Neural Networks arXiv:2606.18303v1 Announce Type: new Abstract: We develop a mathematically explicit link between shock-wave theory and the symmetry-quotiented learning dynamics of stochastic gradient descent, drawin https://pulse-3k2.pages.dev/news/815ffea6fcb0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Attribution-Guided and Coverage-Maximized Pruning for Structural MoE Compression arXiv:2606.18304v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) models scale compute efficiently, yet remain expensive to deploy due to their substantial memory footprint and inference overhe https://pulse-3k2.pages.dev/news/58300faf4e9a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fisher Width: A Geometric Measure of Complexity on Statistical Manifolds arXiv:2606.18306v1 Announce Type: new Abstract: Gaussian width is a central geometric complexity measure in high-dimensional probability, compressed sensing, convex optimization, and learning theory. https://pulse-3k2.pages.dev/news/72a5471f3de0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DRIFT: Refining Instruction Data via On-Policy Data Attribution arXiv:2606.18307v1 Announce Type: new Abstract: Optimizing the training data distribution for Supervised Fine-Tuning (SFT) dictates the capability of Large Language Models (LLMs). While existing data https://pulse-3k2.pages.dev/news/9212663e593d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TRIDENT: Breaking the Hybrid-Safety-Physics Coupling for Provably Safe Multi-Agent Reinforcement Learning arXiv:2606.18308v1 Announce Type: new Abstract: Safe coordination in networked cyber-physical systems forces learning algorithms to simultaneously handle hybrid discrete-continuous actions, hard train https://pulse-3k2.pages.dev/news/5735ccec6d05 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAGE: Retain-Aware Post-Hoc Sanitization of Final Unlearning Vector arXiv:2606.18309v1 Announce Type: new Abstract: Large Language Model (LLM) unlearning aims to remove undesirable knowledge or behaviors while preserving retained capabilities. Current unlearning metho https://pulse-3k2.pages.dev/news/116a059ef333 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ghost Attractor Networks: Basin-Structured Dynamical Decoders for Closed-Loop Sequential Generation arXiv:2606.18315v1 Announce Type: new Abstract: Sequential output generation with large-scale Transformer and diffusion decoders pays a memory cost that grows with sequence length, plus iterative per- https://pulse-3k2.pages.dev/news/d331b2cb53f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Survey on Data-Driven Models for Soil Moisture Regression and Classification arXiv:2606.18316v1 Announce Type: new Abstract: Soil Moisture (SM) modelling constitutes a complex spatiotemporal learning problem characterised by nonlinear environmental interactions, heterogeneous https://pulse-3k2.pages.dev/news/2fbd774d78b2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion arXiv:2606.18317v1 Announce Type: new Abstract: Most graph neural network (GNN) cores rely on graph convolutions, typically implemented as message passing between direct (single-hop) neighbors. In man https://pulse-3k2.pages.dev/news/5787f66c22a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASTRA: A Scalable Next-Generation ATCO Training Simulator with Autonomous Simpilots arXiv:2606.18319v1 Announce Type: new Abstract: Air Traffic Control Operators (ATCOs) are vital in ensuring the safe, orderly, and efficient flow of air traffic, yet training capacity is constrained b https://pulse-3k2.pages.dev/news/e2857d92942e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAE Interventions are Unreliable: Post-Intervention Recovery of Suppressed Behavior arXiv:2606.18322v1 Announce Type: new Abstract: Sparse Autoencoders (SAEs) decompose residual-stream activations into interpretable features. Recent latent-space defenses increasingly rely on these de https://pulse-3k2.pages.dev/news/3fc88b3a3105 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why SWAVE May Not Be All You Need:A Concept-Evolution Retrospective on Complex-Valued Recurrent Language Models arXiv:2606.18324v1 Announce Type: new Abstract: SWave is a complex-valued recurrent language model (169.26M parameters, D=384, L=16, T=2048) trained on FineWeb-Edu using 2xH100 NVL. It was designed ar https://pulse-3k2.pages.dev/news/cc484c95b705 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Network Implementation of the Renormalization Group for Fault Diagnosis with Class Imbalance arXiv:2606.18326v1 Announce Type: new Abstract: The application of machine learning models in practical tasks faces challenges such as class imbalance and multidimensional noise. This paper proposes R https://pulse-3k2.pages.dev/news/a78f8594f507 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-CTRL: Self-Consistency Training with Reinforcement Learning arXiv:2606.18327v1 Announce Type: new Abstract: Language models (LMs) that faithfully describe their own behavior can more easily be audited, understood, and trusted by users. This paper describes Sel https://pulse-3k2.pages.dev/news/47abec20dc05 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets arXiv:2606.18338v1 Announce Type: new Abstract: The search for life beyond Earth will depend on detecting faint signatures in the atmospheres of potentially habitable exoplanets. Interpreting those si https://pulse-3k2.pages.dev/news/eb4e4fb0a29e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting arXiv:2606.18367v1 Announce Type: new Abstract: Standard benchmarks evaluate time series foundation models (TSFMs) using aggregate metrics, but these can mask severe failures in critical operating reg https://pulse-3k2.pages.dev/news/6cb3764c927c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Sparse Features to Trustworthy Proxies: Certifying SAE-Based Interpretability arXiv:2606.18383v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) are increasingly used to extract interpretable features from language models (LMs), yet a central question remains: when ca https://pulse-3k2.pages.dev/news/00ed2e262389 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System arXiv:2606.18384v1 Announce Type: new Abstract: Hierarchical Federated Learning (HFL) enables scalable collaborative model training across distributed devices while preserving data privacy. However, e https://pulse-3k2.pages.dev/news/ded3177a3177 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMZero: Discovering Adaptive Training Strategies for RL Post-Training via LLM Agents arXiv:2606.18388v1 Announce Type: cross Abstract: RL post-training strategies are dataset-dependent and reveal a recurring empirical pattern: capacity parameters accumulate monotonically across stages https://pulse-3k2.pages.dev/news/b9ee07252c0e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MOLAR: Learning Multimodal Molecular Representations from Noisy Labels arXiv:2606.18390v1 Announce Type: new Abstract: Motivation: Noisy labels are a common challenge in molecular property prediction because molecular annotations are often obtained from assays, curated d https://pulse-3k2.pages.dev/news/855c82495420 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png P$^2$CE: Model-Agnostic Plausible Pareto-Optimal Counterfactual Explanations arXiv:2606.18418v1 Announce Type: new Abstract: The increasing use of machine learning algorithms in social applications has raised concerns about fairness and transparency, leading to the development https://pulse-3k2.pages.dev/news/2ef4577aeed0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Measurement noise limits the advantage of nonlinear models over linear models in biomedical prediction arXiv:2606.18420v1 Announce Type: new Abstract: On biomedical tabular data, flexible models such as deep networks, gradient-boosted trees, and kernel methods are repeatedly matched or beaten by linear https://pulse-3k2.pages.dev/news/5c0ea1b36d45 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Signature filtering: a lightweight enhancement for statistical watermark detection in large language models arXiv:2606.18430v1 Announce Type: new Abstract: Statistical watermarks help organizations attribute large language model (LLM) outputs, yet existing detectors often struggle when watermark signals are https://pulse-3k2.pages.dev/news/67f4f6e671ce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Prediction: Tail-Aware Scheduling for LLM Inference arXiv:2606.18431v1 Announce Type: new Abstract: LLM serving exhibits extreme length variability, making size-based scheduling difficult in practice. Recent LLM schedulers approximate SJF/SRPT using pr https://pulse-3k2.pages.dev/news/b8d2c8ac1023 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network arXiv:2606.18444v1 Announce Type: new Abstract: In recent years, credit card fraud detection has faced significant challenges due to highly imbalanced data, evolving fraud patterns, and complex relati https://pulse-3k2.pages.dev/news/037045bd077c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Cross-Model VLM-Judge Protocol for Single-Image 3D Mesh Quality (and Why Cheap Proxies Fall Short) arXiv:2606.18451v1 Announce Type: new Abstract: Single-image-to-3D generators are improving quickly, but there is no agreed, human-free way to tell whether one generated mesh is better than another. P https://pulse-3k2.pages.dev/news/d8ec98aebdbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Veriphi: Attack-Guided Neural Network Verification with Dataset-Dependent Training Methods arXiv:2606.18454v1 Announce Type: new Abstract: We present Veriphi, a GPU-accelerated neural network verification system that combines fast adversarial attacks with formal bound certification using al https://pulse-3k2.pages.dev/news/008bccae721e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Task-Restricted Symmetries in Recurrent Weight Space arXiv:2606.18457v1 Announce Type: new Abstract: Recurrent networks can contain substantial functional redundancy in weight space: changing a recurrent matrix may leave the input-output rollout nearly https://pulse-3k2.pages.dev/news/1e16adbb567f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy arXiv:2606.18465v1 Announce Type: new Abstract: Grokking, the delayed jump from memorization to generalization, is usually tied to the weight norm: a smaller norm generalizes sooner. We ask what the n https://pulse-3k2.pages.dev/news/ed8bbe52d762 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion arXiv:2606.18469v1 Announce Type: new Abstract: Neuroscientific research has revealed that the brain encodes complex behaviors by leveraging structured, low-dimensional manifolds and dynamically fusin https://pulse-3k2.pages.dev/news/4d05d2808f2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Illusion of Improvement: Reject Inference Strategies in Credit Scoring arXiv:2606.18479v1 Announce Type: new Abstract: Reject inference methods are widely used to mitigate survival bias in credit scoring, yet their effectiveness remains poorly understood. We systematical https://pulse-3k2.pages.dev/news/00dd7b74d5fa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR arXiv:2606.18487v1 Announce Type: cross Abstract: The standard heuristic of selecting the SFT checkpoint with the highest pass@1 for GRPO can fail when SFT compresses the rollout distribution. For bin https://pulse-3k2.pages.dev/news/a9f066f772b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction arXiv:2606.18503v1 Announce Type: new Abstract: Remaining useful life (RUL) estimation is central to predictive maintenance, where an unplanned failure can cost far more than the asset itself. Statist https://pulse-3k2.pages.dev/news/c53a902b1752 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health arXiv:2606.18506v1 Announce Type: new Abstract: Objective sleep assessment relies on polysomnography (PSG), yet clinical impact is often better reflected in patient-reported outcomes (PROs) such as sl https://pulse-3k2.pages.dev/news/5eddf2c1e3f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation arXiv:2606.18509v1 Announce Type: new Abstract: Reliable generalization in conditional latent variable models requires understanding both identifiability and extrapolation: how observed variation acro https://pulse-3k2.pages.dev/news/a6e710c72e9d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PSyGenTAB: A Privacy-Preserving Framework for Synthetic Clinical Tabular Data Generation via Constrained Optimization arXiv:2606.18518v1 Announce Type: new Abstract: The development of medical AI is constrained by limited access to high-quality clinical data due to institutional silos and strict privacy regulations s https://pulse-3k2.pages.dev/news/d4c5cab7b74e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sparsity Curse: Understanding RLVR Model Parameter Space from Model Merging arXiv:2606.18521v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Reward (RLVR) has emerged as a powerful post-training paradigm that surpasses Supervised Fine-Tuning (SFT) in eli https://pulse-3k2.pages.dev/news/1b841178c936 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On the Residual Scaling of Looped Transformers: Stability and Transferability arXiv:2606.18524v1 Announce Type: new Abstract: Looped (weight-tied) Transformers apply a shared residual block $N$ times ($h \leftarrow h + \varepsilon\,f(h)$, same $f$ at each step), increasing effe https://pulse-3k2.pages.dev/news/8ac45bdc563b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hierarchical Attention via Domain Decomposition arXiv:2606.18525v1 Announce Type: new Abstract: We propose a hierarchical attention mechanism based on two-level overlapping Schwarz domain decomposition. The method is motivated by the observation th https://pulse-3k2.pages.dev/news/46d6ebb7a995 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do as the Romans Do: Learning Universal Behaviors from Heterogeneous Agents arXiv:2606.18537v1 Announce Type: new Abstract: Humans often acquire new skills by observing others, since observed behaviors implicitly reveal how to act in an environment. However, observations draw https://pulse-3k2.pages.dev/news/3509bbdae852 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Effects of sparsity and superposition on loss in simple autoencoders arXiv:2606.18538v1 Announce Type: new Abstract: One of the major difficulties in the mechanistic interpretability of neural networks is the occurrence of polysemanticity, which suggests that each neur https://pulse-3k2.pages.dev/news/31799f6d06d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults arXiv:2606.18539v1 Announce Type: new Abstract: Time series forecasting (TSF) underpins consequential decisions in energy, transportation, finance, and healthcare, yet TSF models are almost universall https://pulse-3k2.pages.dev/news/c73c52897294 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Correcting Sensor-Induced Distribution Drift with Wasserstein Adversarial Learning arXiv:2606.18561v1 Announce Type: new Abstract: The quality of recorded data depends on the stability of the sensor system that acquires it. Sensor motion and aging can degrade the performance and sta https://pulse-3k2.pages.dev/news/567b0d7884a9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fair Cognitive Impairment Detection Through Unlearning arXiv:2606.18571v1 Announce Type: cross Abstract: Mild Cognitive Impairment (MCI) is a medical condition characterized by a noticeable decline in memory, language, or thinking abilities. MCI detection https://pulse-3k2.pages.dev/news/52b02022ae9a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Anomaly Detection on Relational Data arXiv:2606.18621v1 Announce Type: new Abstract: Relational databases are widely used for managing structured data in real-world systems. Detecting anomalies from such relational data is crucial for id https://pulse-3k2.pages.dev/news/d1732623140a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PACT: Preserving Anchored Cores in Task-vectors for Model Merging arXiv:2606.18627v1 Announce Type: new Abstract: Model merging has emerged as a training-free alternative to multi-task learning, aiming to combine multiple task-specific fine-tuned models into a singl https://pulse-3k2.pages.dev/news/5405e16ace16 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MetaboNet-Bench: A Multi-modal Benchmark for Glucose Forecasting in Type 1 Diabetes arXiv:2606.18640v1 Announce Type: new Abstract: Glucose forecasting algorithms are an important aspect of glycemic control management in type 1 diabetes. So far, the research community has developed n https://pulse-3k2.pages.dev/news/bcf819766490 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BLADE: Scalable Bi-level Adaptive Data Selection for LLM Training arXiv:2606.18650v1 Announce Type: new Abstract: As Large Language Model (LLM) datasets scale to trillions of tokens, data selection has emerged as a critical frontier to filter out uninformative noise https://pulse-3k2.pages.dev/news/82e47a6e39e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png scGTN: Deep Siamese Graph Transformer Network for Single-cell RNA Sequencing Clustering arXiv:2606.18672v1 Announce Type: new Abstract: Single-cell RNA sequencing (scRNA-seq) serves a pivotal role in characterizing gene expression at the cellular level, enabling the identification of cel https://pulse-3k2.pages.dev/news/d98b241a2c5b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png InTrain: Intrinsic Trainability for Zero-Cost Neural Architecture Search arXiv:2606.18676v1 Announce Type: new Abstract: Training-free neural architecture search promises efficient discovery of high-performance networks without costly training. However, existing zero-cost https://pulse-3k2.pages.dev/news/99f4f881738b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bounded Context Management for Tabular Foundation Models on Stream Learning arXiv:2606.18677v1 Announce Type: new Abstract: Tabular stream learning requires predictions on sequentially arriving examples under distribution shift. While standard methods adapt by updating model https://pulse-3k2.pages.dev/news/8133021f46b3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dual-Channel Grounded World Modeling (DCGWM): Structural Prevention of Objective Interference Collapse via Heterogeneous External Grounding with Inward-Only Gradient Flow arXiv:2606.18688v1 Announce Type: new Abstract: Joint Embedding Predictive Architectures (JEPAs) are a leading approach to world model representation learning. We identify a failure mode in JEPA-based https://pulse-3k2.pages.dev/news/a0d9768a1103 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning arXiv:2606.18691v1 Announce Type: new Abstract: Pre-trained materials foundation models, or machine learning interatomic potentials, leverage general physicochemical knowledge to effectively approxima https://pulse-3k2.pages.dev/news/d64be5d7169b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Attention as Frustrated Synchronization arXiv:2606.18694v1 Announce Type: cross Abstract: A network of oscillators that synchronizes perfectly computes nothing further, so an attention architecture built from synchronization must locate its https://pulse-3k2.pages.dev/news/c80b22a1a25f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Stealthy World Model Manipulation via Data Poisoning arXiv:2606.18697v1 Announce Type: new Abstract: Model-based learning agents use learned world models to predict future states, plan actions, and adapt to new environments. However, the process of upda https://pulse-3k2.pages.dev/news/d4ca9dc9462b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Contextualizing Biological Language Models across Modalities via Logit-Space Contrastive Alignment arXiv:2606.18703v1 Announce Type: new Abstract: Pretrained biological language models expose per-token probability distributions through masked-token prediction, providing the likelihood interface cen https://pulse-3k2.pages.dev/news/a69b5b3f136d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trainable Photonic Measurement for Physics-Informed PDE Learning arXiv:2606.18713v1 Announce Type: new Abstract: Photonic quantum machine learning offers a route to trainable physical representations built from phase, interference and measurement. However, its role https://pulse-3k2.pages.dev/news/3b0a2852090b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph Grounded Cross Attention Transformer Neural Network for Structurally Constrained Full Event Sequence Generation in Predictive Process Monitoring arXiv:2606.18726v1 Announce Type: new Abstract: Structurally constrained event sequence generation remains challenging because generated paths must preserve transition feasibility, temporal order, ter https://pulse-3k2.pages.dev/news/48ba18e6596e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Cost Neuromorphic Fall Detection Using Synthetic Event Data and Hybrid SNNs arXiv:2606.18732v1 Announce Type: new Abstract: This work presents the development of hybrid models that integrate spiking neural networks (SNNs) with components of convolutional neural networks (CNNs https://pulse-3k2.pages.dev/news/bacff9696fc4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Private Learning with Public Feature Conditioning arXiv:2606.18773v1 Announce Type: new Abstract: We study differentially private (DP) regression in settings where each data sample includes public, non-sensitive features -- common in applications suc https://pulse-3k2.pages.dev/news/4b8de5e0638d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing arXiv:2606.18774v1 Announce Type: new Abstract: We present RouteJudge, an online pairwise preference evaluation framework for LLM routing systems, with a public platform available at https://routejudg https://pulse-3k2.pages.dev/news/0b3a847a1b20 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Online Distributional Prediction via Latent Cluster Geometry Under Drift and Corruption arXiv:2606.18778v1 Announce Type: new Abstract: Online learning in non-stationary streams is often formulated as tracking a point estimate, but many applications require predicting the full data-gener https://pulse-3k2.pages.dev/news/a0ef98db70c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bayesian Anytime Pareto Set Identification for Multi-Objective Multi-Armed Bandits arXiv:2606.18785v1 Announce Type: new Abstract: Identifying Pareto optimal solutions is critical to support multi-objective decision-making. We introduce the first anytime Multi-Objective Multi-Armed https://pulse-3k2.pages.dev/news/1fb586f071dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from Own Solutions: Self-Conditioned Credit Assignment for Reinforcement Learning with Verifiable Rewards arXiv:2606.18810v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has driven substantial progress in training LLMs for reasoning tasks, but representative methods s https://pulse-3k2.pages.dev/news/4c311219b392 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reinforcement Learning Foundation Models Should Already Be A Thing arXiv:2606.18812v1 Announce Type: new Abstract: Foundation models for language and vision are powered by internet-scale data, while structured domains (tabular prediction, time-series forecasting, gra https://pulse-3k2.pages.dev/news/632ae71a3828 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Maturing Markov Decision Processes: Decision Making under Increasing Information and Shrinking Action Sets arXiv:2606.18820v1 Announce Type: new Abstract: Sequential decision problems often exhibit an asymmetric evolution of information and decision flexibility: as a decision cycle unfolds, the agent recei https://pulse-3k2.pages.dev/news/3103e0646fa3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents arXiv:2606.18829v1 Announce Type: cross Abstract: Memory benchmarks for LLM agents largely assume single-user settings, leaving shared assistants for hospitals, workplaces, campuses, and households un https://pulse-3k2.pages.dev/news/a154241e953f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Target-confidence Recourse Using tSeTlin machines: TRUST arXiv:2606.18832v1 Announce Type: new Abstract: Counterfactual explanations are widely used to provide algorithmic recourse in high-stakes decision-making systems. Most existing methods seek the small https://pulse-3k2.pages.dev/news/2103ed7fcb7b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seed-Guided Semi-Supervised Clustering by A-Contrario Anomaly Detection arXiv:2606.18833v1 Announce Type: new Abstract: This paper introduces a semi-supervised clustering framework grounded in the statistical duality between grouping principles and anomaly detection. We a https://pulse-3k2.pages.dev/news/2872b2b25c77 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Identifying Structural Biases from Causal Mechanism Shifts arXiv:2606.18834v1 Announce Type: new Abstract: Causal discovery methods commonly assume that all data is independently and identically distributed (i.i.d.) and that there are no unmeasured variables https://pulse-3k2.pages.dev/news/d9b90b0cd63a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Semantic Robustness Certification for Vision-Language Models arXiv:2606.18839v1 Announce Type: new Abstract: Vision-language models (VLMs) are now widely used in downstream tasks. However, real-world applications often expose VLMs to distribution shifts induced https://pulse-3k2.pages.dev/news/1f3d8f8e9cdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from Your Own Mistakes: Constructing Learnable Micro-Reflective Trajectories for Self-Distillation arXiv:2606.18844v1 Announce Type: new Abstract: Self-distillation improves reasoning in large language models by using the model's own rollouts as training signal, typically through implicit logit-lev https://pulse-3k2.pages.dev/news/a1eeab71802e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Investigating Inductive Biases for Machine Learning Emulation of Sudden Stratospheric Warmings in Idealised Isca Simulations arXiv:2606.18857v1 Announce Type: new Abstract: Machine-learning emulators are increasingly used for weather prediction and have the potential to extend skill on subseasonal-to-seasonal timescales by https://pulse-3k2.pages.dev/news/76fcc59b81f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scaling Learning-based AEB with Massive Unlabeled Data arXiv:2606.18864v1 Announce Type: new Abstract: This paper studies how to scale learning-based automatic emergency braking (AEB) with massive unlabeled fleet data under production constraints. Our app https://pulse-3k2.pages.dev/news/a3d2e38031d8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Strategic Feature Selection arXiv:2606.18867v1 Announce Type: new Abstract: When algorithmic predictors inform resource allocation in high-stakes domains such as healthcare, these predictors must account for strategic manipulati https://pulse-3k2.pages.dev/news/9d97fef9640d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Domain-Shift Aware Neural Networks for Unbalance Characterization in Rotating Systems arXiv:2606.18882v1 Announce Type: new Abstract: This work investigates the application of a domain-shift aware neural network for regression tasks aimed at estimating unbalance masses in rotating shaf https://pulse-3k2.pages.dev/news/6966558ec04e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs arXiv:2606.18898v1 Announce Type: new Abstract: Multivariate time series anomaly detection (MTSAD) is critical for a wide range of application areas, such as industrial monitoring, cybersecurity, or h https://pulse-3k2.pages.dev/news/687130a53caf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png REVES: REvision and VErification--Augmented Training for Test-Time Scaling arXiv:2606.18910v1 Announce Type: cross Abstract: Test-time scaling via sequential revision has emerged as a powerful paradigm for enhancing Large Language Model (LLM) reasoning. However, standard pos https://pulse-3k2.pages.dev/news/803de42dccd0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Some Complexity Results for Robustness Verification for Binarized Neural Networks arXiv:2606.18918v1 Announce Type: new Abstract: This paper studies the computational complexity of verification problems for Binarized Neural Networks (BNNs), where activations (and sometimes weights) https://pulse-3k2.pages.dev/news/4eefcc4f1af3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GrapNet: A Programmable Dynamic-Architecture Neural Graph Substrate arXiv:2606.18923v1 Announce Type: new Abstract: Programmability is a missing first-class interface in fixed-tensor neural networks: editing a relation, freezing a subgraph, auditing a local function, https://pulse-3k2.pages.dev/news/38080e1599eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-Shot Active Feature Acquisition via LLM-Elicitation arXiv:2606.18933v1 Announce Type: new Abstract: Active feature acquisition (AFA) sequentially selects which features to observe to reach a classification or ranking decision. Its central limitation is https://pulse-3k2.pages.dev/news/d459ff37590a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization arXiv:2606.18961v1 Announce Type: new Abstract: Protein language models (PLMs) have emerged as powerful tools for controllable biomolecular design, yet their post-training adaptation typically relies https://pulse-3k2.pages.dev/news/2169cbb71bc3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards arXiv:2606.18963v1 Announce Type: new Abstract: We study online reward-punishment learning when the environment provides no scalar reward or evaluative label. At each step the agent receives only a fi https://pulse-3k2.pages.dev/news/c5d02fe56d58 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts arXiv:2606.18967v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a representative post-training paradigm for LLMs, enabling strong reasoning and agentic capabilities. However, ro https://pulse-3k2.pages.dev/news/4d8399c2ce30 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Controlled Benchmark of Quantum-Latent GAN Augmentation for Brain MRI arXiv:2606.18970v1 Announce Type: new Abstract: Medical image classification is often constrained by limited labeled data, motivating generative augmentation; recently, quantum generative models have https://pulse-3k2.pages.dev/news/6a4bf9184d6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DIPHINE: Diffusion-based $\Phi$-ID Neural Estimator arXiv:2606.18997v1 Announce Type: new Abstract: Uncovering the true informational architecture of real-world complex systems requires disentangling how their components uniquely store, redundantly sha https://pulse-3k2.pages.dev/news/a7475d2a5736 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FoMoE: Breaking the Full-Replica Barrier with a Federation of MoEs arXiv:2606.19025v1 Announce Type: new Abstract: Pre-training Large Language Models (LLMs) typically demands large-scale infrastructure with tightly coupled hardware accelerators. While increasing mode https://pulse-3k2.pages.dev/news/79de5403cfba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Hybrid LSTM--Vision Transformer Architecture for Predicting HRRR Forecast Errors arXiv:2606.19026v1 Announce Type: new Abstract: Forecast errors in high-resolution numerical weather prediction (NWP) systems are often linked to unresolved planetary boundary layer (PBL) processes, c https://pulse-3k2.pages.dev/news/cf74e3bf0f86 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geometric and Stochastic Analysis of Discontinuities in Sparse Mixture-of-Experts arXiv:2606.19036v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (SMoE) architectures are now widely deployed in state-of-the-art language and vision models, where conditional routing allows https://pulse-3k2.pages.dev/news/53a2186fff15 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Smoothness-Based Derandomization of PAC-Bayes Bounds arXiv:2606.19105v1 Announce Type: new Abstract: We study PAC-Bayes derandomization for smooth loss functions. Our goal is to obtain generalization bounds that hold with high probability for determinis https://pulse-3k2.pages.dev/news/6bde5b7ac1df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png JourneyFormer: Encoding Airbnb Guest Journey with Sequence Modeling arXiv:2606.19108v1 Announce Type: new Abstract: Sequence modeling has become increasingly popular in recommendation and ranking algorithms, owing to its capacity to model users' historical behaviors a https://pulse-3k2.pages.dev/news/449833b815fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seeing Before Reasoning: Decoupling Perception and Reasoning for Shortcut-Resilient Multimodal On-Policy Self-Distillation arXiv:2606.19120v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) trains a model on its own rollouts and uses a frozen copy to provide dense token-level targets conditioned on a refer https://pulse-3k2.pages.dev/news/2eeb1bbf01dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pareto Q-Learning with Reward Machines arXiv:2606.19134v1 Announce Type: new Abstract: We present Pareto Q-Learning with Reward Machines (PQLRM), a multi-objective reinforcement learning algorithm for tasks whose reward structure is specif https://pulse-3k2.pages.dev/news/6c40a067908d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png INDEQS: Informed Neural controlled Differential EQuationS arXiv:2606.19138v1 Announce Type: new Abstract: Neural Controlled Differential Equations (NCDE) provide a powerful continuous-time framework for forecasting time series, but standard graph-based exten https://pulse-3k2.pages.dev/news/fb7e13879720 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis arXiv:2606.19140v1 Announce Type: new Abstract: Accurate survival prediction is essential for personalized treatment planning in head and neck cancer, yet remains challenging due to the heterogeneous https://pulse-3k2.pages.dev/news/5a2e811bd246 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OrthoReg: Orthogonal Regularization for Hybrid Symbolic-Neural Dynamical Systems arXiv:2606.19145v1 Announce Type: new Abstract: Dynamical systems are fundamental to modeling the natural world, yet modeling them involves a persistent trade-off: manually prescribed mechanistic mode https://pulse-3k2.pages.dev/news/6d6641628664 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continuous Audio Thinking for Large Audio Language Models arXiv:2606.18273v1 Announce Type: new Abstract: Large audio language models (LALMs) have shown impressive capabilities on diverse audio understanding tasks, ranging from speech transcription to music https://pulse-3k2.pages.dev/news/f66932dbf945 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Redact or Keep? A Fully Local AI Cascade for Educational Dialogue De-Identification arXiv:2606.18372v1 Announce Type: new Abstract: Educational dialogue is a valuable but sensitive resource for research: the same transcripts that capture authentic learning often capture personally id https://pulse-3k2.pages.dev/news/88f94c1c5072 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SproutRAG: Attention-Guided Tree Search with Progressive Embeddings for Long-Document RAG arXiv:2606.18381v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems must balance retrieval granularity with contextual coherence, a challenge that existing methods address thr https://pulse-3k2.pages.dev/news/ecbf38ae69df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation arXiv:2606.18389v1 Announce Type: new Abstract: Large language models (LLMs) have become an effective tool for synthetic data generation, including for low-resource languages, where generated data can https://pulse-3k2.pages.dev/news/1bff263bb628 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png JetFlow: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting arXiv:2606.18394v1 Announce Type: new Abstract: Speculative decoding (SD) accelerates autoregressive Large Language Models (LLMs) by drafting multiple tokens and verifying them in parallel, but it fac https://pulse-3k2.pages.dev/news/709464e8a69c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CoreMem: Riemannian Retrieval and Fisher-Guided Distillation for Long-Term Memory in Dialogue Agents arXiv:2606.18406v1 Announce Type: new Abstract: Personalized dialogue agents require continuous long-term memory to maintain coherent interactions across multiple sessions. However, deploying these ca https://pulse-3k2.pages.dev/news/cf65efd476ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VISUALSKILL: Multimodal Skills for Computer-Use Agents arXiv:2606.18448v1 Announce Type: new Abstract: Computer-use agents (CUAs) approach human-level performance on standardised benchmarks but still struggle on long-horizon tasks and unseen software. Exi https://pulse-3k2.pages.dev/news/1406f05179d2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Parameters for Math Across Languages: Shared or Separate? arXiv:2606.18453v1 Announce Type: new Abstract: Large language models (LLMs) exhibit substantial cross-lingual variation in mathematical reasoning performance, but it remains unclear whether these dif https://pulse-3k2.pages.dev/news/fd753626e49d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Montreal Forced Aligner and the state of speech-to-text alignment in 2026 arXiv:2606.18466v1 Announce Type: new Abstract: The Montreal Forced Aligner (MFA) was released in 2016 and has since become the most widely used tool for forced alignment in research and industry. In https://pulse-3k2.pages.dev/news/a389deaa7634 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text arXiv:2606.18471v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for clinical text tasks such as summarization and revision. While most studies evaluate the fluency a https://pulse-3k2.pages.dev/news/7cbcbf44d016 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PreUnlearn: Auditing Collateral Knowledge Damage Before Large Language Model Unlearning arXiv:2606.18473v1 Announce Type: new Abstract: Machine unlearning for large language models (LLMs) aims to remove specified knowledge while preserving the rest of the model's capabilities. However, t https://pulse-3k2.pages.dev/news/77f2a41531be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications arXiv:2606.18502v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems demonstrate strong performance on complex reasoning and task execution, enabling broad enterprise a https://pulse-3k2.pages.dev/news/031cd53ab328 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MCompassRAG: Topic Metadata as a Semantic Compass for Paragraph-Level Retrieval arXiv:2606.18508v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems depend critically on how documents are chunked and searched. Fine-grained chunks can improve retrieval prec https://pulse-3k2.pages.dev/news/04f1cf1490ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Speech-Driven End-to-End Language Discrimination towards Chinese Dialects arXiv:2606.18584v1 Announce Type: new Abstract: Language discrimination among similar languages, varieties, and dialects is a challenging natural language processing task. The traditional text-driven https://pulse-3k2.pages.dev/news/c96f25545ace 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dual Dimensionality for Local and Global Attention arXiv:2606.18587v1 Announce Type: new Abstract: Decoder-only Transformers compute attention over the KV cache of preceding tokens. Keys (and Values) are typically represented with the same dimensional https://pulse-3k2.pages.dev/news/279024763a28 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation arXiv:2606.18597v1 Announce Type: new Abstract: Chinese dialects discrimination is a challenging natural language processing task due to scarce annotation resource. In this article, we develop a novel https://pulse-3k2.pages.dev/news/f39c18ce5ce4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Steerable Cultural Preference Optimization of Reward Models arXiv:2606.18606v1 Announce Type: new Abstract: It is essential for large language model (LLM) technology to serve many different cultural sub-communities in a manner that is acceptable to each commun https://pulse-3k2.pages.dev/news/5bdf8578ead7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance arXiv:2606.18613v1 Announce Type: new Abstract: The most plausible near-term role of medical LLMs is to assist rather than replace physicians, yet current evaluations often test isolated capabilities: https://pulse-3k2.pages.dev/news/56c9f6df223f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BCL: Bayesian In-Context Learning Framework for Information Extraction arXiv:2606.18620v1 Announce Type: new Abstract: Existing information extraction (IE) tasks increasingly adopt in-context learning (ICL) with large language models. However, current approaches either s https://pulse-3k2.pages.dev/news/208869986226 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PragReST: Self-Reinforcing Counterfactual Reasoning for Pragmatic Language Understanding arXiv:2606.18624v1 Announce Type: new Abstract: Natural language understanding often depends on meanings that are implied rather than explicitly stated, requiring pragmatic reasoning. Despite strong p https://pulse-3k2.pages.dev/news/d44c3e27d359 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PEC-Home: Interpretation of Progressively Elliptical Commands in Smart Homes arXiv:2606.18636v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) have empowered home assistants with natural language interaction capabilities. However, current assi https://pulse-3k2.pages.dev/news/362c03509ef9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Wrong Kind of Right: Quantifying and Localizing Misfired Alignment in LLMs arXiv:2606.18656v1 Announce Type: new Abstract: Warning: This paper studies stereotypes and biases, and contains potentially disturbing examples, used for illustration purposes only. Our findings shou https://pulse-3k2.pages.dev/news/1e369d76d130 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RegMix-D: Dynamic Data Mixing via Proxy Training Trajectories arXiv:2606.18663v1 Announce Type: new Abstract: Data mixture selection is critical for Large Language Model pretraining. Existing methods such as RegMix select a single static mixture by fitting a reg https://pulse-3k2.pages.dev/news/8d6d9f08e63b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TW-LegalBench: Measuring Taiwanese Legal Understanding arXiv:2606.18699v1 Announce Type: new Abstract: Large language models (LLMs) have shown impressive capabilities across diverse tasks, yet their performance on jurisdiction-specific legal reasoning rem https://pulse-3k2.pages.dev/news/4c93c296fc28 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMs Struggle to Measure What Distinguishes Students of Different Proficiency Levels: A Study of Item Discrimination in Reading Comprehension Assessment arXiv:2606.18709v1 Announce Type: new Abstract: Item discrimination is a fundamental psychometric property of educational assessment, which measures whether an item meaningfully distinguishes students https://pulse-3k2.pages.dev/news/c0b8fe7ddaf1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Morpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish arXiv:2606.18717v1 Announce Type: new Abstract: Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language models split words by corpus statistics https://pulse-3k2.pages.dev/news/48cbbd9e601f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LegalWorld: A Life-Cycle Interactive Environment for Legal Agents arXiv:2606.18728v1 Announce Type: new Abstract: Civil litigation is inherently a life-cycle process: what a lawyer drafts on day one constrains what unfolds at trial months later. Yet existing legal b https://pulse-3k2.pages.dev/news/ee8a36189b5a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Output Vector Editing for Memorization Mitigation in Large Language Models arXiv:2606.18767v1 Announce Type: new Abstract: Large language models memorize and reproduce sequences from their training data, creating privacy, copyright, and security risks. Existing neuron-level https://pulse-3k2.pages.dev/news/b36a052d6e12 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation arXiv:2606.18781v1 Announce Type: new Abstract: Dense retrieval ranks one query vector against one document vector. On long documents, this interface can fail when a short but decisive span is weakene https://pulse-3k2.pages.dev/news/3c6e8936b666 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RedactionBench arXiv:2606.18782v1 Announce Type: new Abstract: Large Language Models are increasingly applied to sensitive domains that require redaction of personally identifiable information (PII). While redacting https://pulse-3k2.pages.dev/news/3dc7c63ea9b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Scalar Scores: Exploring LLM-based Metrics for Clinical Significance Evaluation in Radiology Reports arXiv:2606.18797v1 Announce Type: new Abstract: Reliable evaluation of generated radiology reports requires strict clinical accuracy, as omitted critical findings or mischaracterized radiographic obse https://pulse-3k2.pages.dev/news/2133193946ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning arXiv:2606.18831v1 Announce Type: new Abstract: Long-context reasoning is an essential capability for large language models, particularly when they are deployed as autonomous agents that must reason o https://pulse-3k2.pages.dev/news/18fc3b2221ae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement arXiv:2606.18850v1 Announce Type: new Abstract: Abstractive summarization plays a crucial role in enabling efficient understanding of scientific literature, yet it inherently demands both linguistic f https://pulse-3k2.pages.dev/news/0b56950fc83a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Aligning Implied Statements for Implicit Hate Speech Generalizability with Context-Bounded Semi-hard Negative Mining arXiv:2606.18852v1 Announce Type: new Abstract: Classifying implicit hate speech remains a challenge, as intent is often masked through insinuation and context rather than explicit slurs. Prior superv https://pulse-3k2.pages.dev/news/92f50944282f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Approximate Structured Diffusion for Sequence Labelling arXiv:2606.18856v1 Announce Type: new Abstract: Sequence labelling, a core task of Natural Language Processing (NLP), consists in assigning each token of an input sentence a label. From a Machine Lear https://pulse-3k2.pages.dev/news/36122b615d86 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Financial Language Understanding via Distillation with Synthetic Data arXiv:2606.18875v1 Announce Type: new Abstract: Large instruction-following models are powerful but costly to deploy, particularly in finance, where labelled data are limited by confidentiality and ex https://pulse-3k2.pages.dev/news/445a7a698292 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving Medical Communication using Rubric-Guided Counterfactual Recommendations arXiv:2606.18889v1 Announce Type: new Abstract: Text-based telemedicine increasingly relies on lightweight patient feedback, however, such feedback primarily reflects perceived communication quality r https://pulse-3k2.pages.dev/news/f9859000140e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Robust Pair Confidence for Multimodal Emotion-Cause Pair Extraction arXiv:2606.18893v1 Announce Type: new Abstract: Multimodal emotion-cause pair extraction (MECPE) requires reliable pair confidence over candidate pairs. Existing pair scorers commonly use pair-level c https://pulse-3k2.pages.dev/news/d66a32b43780 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAGE: Stochastic Prompt Optimization via Agent-Guided Exploration arXiv:2606.18902v1 Announce Type: new Abstract: Context engineering has emerged as a primary lever for improving AI systems without parameter updates. Recent work showing that textual gradients do not https://pulse-3k2.pages.dev/news/51686749cee3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png As Easy as Rocket Science: Assessing the Ability of Large Language Models to Interpret Negation in Figurative Language arXiv:2606.18922v1 Announce Type: new Abstract: Figurative language and negation are two areas that challenge current language models, however, both are widely used throughout written and spoken langu https://pulse-3k2.pages.dev/news/5ba3a03e8691 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SenFlow: Inter-Sentence Flow Modeling for AI-Generated Text Detection in Hybrid Documents arXiv:2606.18946v1 Announce Type: new Abstract: Sentence-level AI-generated text detection (S-AGTD) for hybrid documents, where humans and LLMs co-author one text, faces two gaps: existing methods cla https://pulse-3k2.pages.dev/news/00935e44461b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GraphPO: Graph-based Policy Optimization for Reasoning Models arXiv:2606.18954v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has become a standard paradigm for enhancing the capability of large reasoning models. RLVR typica https://pulse-3k2.pages.dev/news/cb80a32b9775 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Tokenization: Direct Timestep Embedding and Contrastive Alignment for Time-Series Question Answering arXiv:2606.18986v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have given rise to time-series question answering (TSQA), which formulates time-series analysis as natur https://pulse-3k2.pages.dev/news/44f404d1ef78 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment arXiv:2606.18989v1 Announce Type: new Abstract: Idioms are difficult to transfer across languages due to their non-compositionality and weak surface-form grounding, making literal mappings unreliable. https://pulse-3k2.pages.dev/news/16d9a9a0352d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhancing Multilingual Reasoning via Steerable Model Merging arXiv:2606.19002v1 Announce Type: new Abstract: Model merging is an effective technique for composing the capabilities of a multilingual model and a reasoning model. It has achieved promising generali https://pulse-3k2.pages.dev/news/1a0d0f80a093 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sumi: Open Uniform Diffusion Language Model from Scratch arXiv:2606.19005v1 Announce Type: new Abstract: Diffusion models have become a promising alternative to autoregressive models. Among these, uniform diffusion language models (UDLMs) permit any token t https://pulse-3k2.pages.dev/news/bb1776d86e3f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science arXiv:2606.19051v1 Announce Type: new Abstract: Research methods are essential carriers of knowledge contribution in academic papers. Automatic multi-label classification of research methods can suppo https://pulse-3k2.pages.dev/news/4e2e6cbb378a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leadership as Coordination Control: Behavioral Signatures and the Recovery-Advantage Boundary in Multi-Agent LLM Teams arXiv:2606.19111v1 Announce Type: new Abstract: Team science holds that leadership is contingent: it helps only under specific conditions, and capable, autonomous teams may need none at all. We ask th https://pulse-3k2.pages.dev/news/960e1d60e64d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dango: A Strictly L1-Only Large Language Model for Studying Second Language Acquisition arXiv:2606.19170v1 Announce Type: new Abstract: We introduce Dango, a 1.8B-parameter large language model designed for controlled studies of L1-to-L2 (Japanese-to-English) transfer in second language https://pulse-3k2.pages.dev/news/d4ae6c95b73f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Language Models as Interfaces, Not Oracles: A Hybrid LLM-ML System for Pediatric Appendicitis arXiv:2606.19183v1 Announce Type: new Abstract: Large language models (LLMs) can make clinical decision support more accessible by interpreting free-text documentation, but their direct use as diagnos https://pulse-3k2.pages.dev/news/412b4932a6e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RECOM: A Validity Discrimination Tradeoff in Automatic Metrics for Open Ended Reddit Question Answering arXiv:2606.19218v1 Announce Type: new Abstract: Automatic metrics are the default for evaluating LLM-generated text, yet a metric is quietly asked to do two jobs: tell genuine content alignment from s https://pulse-3k2.pages.dev/news/6dcbe075dfc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DreamReasoner-8B: Block-Size Curriculum Learning for Diffusion Reasoning Models arXiv:2606.19257v1 Announce Type: new Abstract: Block diffusion language models accelerate decoding through parallel block-wise denoising, yet whether they can be reliably scaled for long chain-of-tho https://pulse-3k2.pages.dev/news/3825f9a7eff1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trade-offs in Medical LLM Adaptation: An Empirical Study in French QA arXiv:2606.19266v1 Announce Type: new Abstract: The development of large language models (LLMs) has led to an increased focus on their adaptation to specialized domains and languages, yet the effectiv https://pulse-3k2.pages.dev/news/f05fda9964eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Enhancing Decision-Making with Large Language Models through Multi-Agent Fictitious Play arXiv:2606.19308v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems (MAS) have demonstrated great potential in solving tasks with execution complexity, by distributing https://pulse-3k2.pages.dev/news/b26913458b07 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States arXiv:2606.19334v1 Announce Type: new Abstract: Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequential layers of American law remai https://pulse-3k2.pages.dev/news/91540f7b9cb2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning User Simulators with Turing Rewards arXiv:2606.19336v1 Announce Type: new Abstract: Learning to simulate human users in interactive settings could advance the training of agent assistants, evaluation of personalization systems, research https://pulse-3k2.pages.dev/news/e8d796013375 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Simulating Hate Speech Cascades with Multi-LLM Agents: Empirical Grounding, Modeling Fidelity, and Intervention Strategies arXiv:2606.18264v1 Announce Type: cross Abstract: Faithful modeling of hateful content propagation on online platforms remains an open problem for moderation research. Classical cascade models that do https://pulse-3k2.pages.dev/news/3d9fc3cf71f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compact Geometric Representations of Hierarchies arXiv:2606.18520v1 Announce Type: cross Abstract: Computing geometric representations of data is a cornerstone of modern machine learning, typically achieved by training dual encoders which map querie https://pulse-3k2.pages.dev/news/a9e47a55f76a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating Prompting-Based Defenses Against Domain-Camouflaged Injection Attacks arXiv:2606.18530v1 Announce Type: cross Abstract: Domain-camouflaged injection attacks embed malicious instructions in retrieved content using domain-appropriate vocabulary, evading standard detectors https://pulse-3k2.pages.dev/news/8da330336ca2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CEO-Bench: Can Agents Play the Long Game? arXiv:2606.18543v1 Announce Type: cross Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service. Yet real-w https://pulse-3k2.pages.dev/news/0efc0173637c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EARS: Explanatory Abstention for Reliable Sub-Agent Modeling in Large-scale Multi-Agent Systems arXiv:2606.18668v1 Announce Type: cross Abstract: In large-scale enterprise settings, centralized multi-agent systems (MAS) are increasingly adopted, in which a coordinator delegates user requests to https://pulse-3k2.pages.dev/news/dd92316c0235 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ForecastBench-Sim: A Simulated-World Forecasting Benchmark arXiv:2606.18686v1 Announce Type: cross Abstract: Forecasting benchmarks for general-purpose AI systems usually inherit the constraints of the real world: outcomes resolve slowly, tail events are rare https://pulse-3k2.pages.dev/news/d09e8d50eb40 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAMA: Semantic Anchor-aligned Augmentation for Unified Low-Resource Multimodal Information Extraction arXiv:2606.18780v1 Announce Type: cross Abstract: Multimodal Information Extraction (MIE)-covering tasks such as Multimodal Named Entity Recognition (MNER), Relation Extraction (MRE), and Event Extrac https://pulse-3k2.pages.dev/news/2e61a72720f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HandwritingAgent: Language-Driven Handwriting Synthesis in Scalable Vector Space arXiv:2606.18788v1 Announce Type: cross Abstract: Teaching machines to emulate natural handwriting styles remains an open challenge, as it requires synthesizing stroke sequences that dynamically vary https://pulse-3k2.pages.dev/news/f8881ba5f86d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph-ESBMC-PLC: Formal Verification of Graphical PLCopen XML Ladder Diagram Programs Using SMT-Based Model Checking arXiv:2606.18941v1 Announce Type: cross Abstract: PLCopen XML defines two encoding formats for IEC 61131-3 Ladder Diagram programs: a textual encoding using elements, and a graphical encoding that rep https://pulse-3k2.pages.dev/news/bc8eff632970 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents arXiv:2606.18947v1 Announce Type: cross Abstract: Production LLM agents increasingly depend on real-time search, yet native search grounding bundles retrieval policy, provider choice, evidence injecti https://pulse-3k2.pages.dev/news/9dc54e799649 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mitigating Scoring Errors and Compensating for Nonverbal Subtests in Speech-Based Dementia Assessment arXiv:2606.18979v1 Announce Type: cross Abstract: Early detection of cognitive impairment relies on neuropsychological tests to minimize subjectivity by assessing multiple cognitive domains. Speech-ba https://pulse-3k2.pages.dev/news/342a9527f0e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Written by AI, Managed by AI: Semantic Space Control and Index Sickness Elimination Across 391 Consecutive Sessions arXiv:2606.19121v1 Announce Type: cross Abstract: The prevailing engineering intuition for addressing conceptual drift in long-horizon LLM collaboration is to trade more formal constraints for more re https://pulse-3k2.pages.dev/news/a9dd8b700f21 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Urdu Katib Handwritten Dataset: A Historical Document Dataset for Offline Urdu Handwritten Text Recognition with CRNN-Based Baseline Evaluation arXiv:2606.19139v1 Announce Type: cross Abstract: Automatic Handwritten Text Recognition (HTR) is inherently a challenging task, and its complexity is further increased when dealing with cursive scrip https://pulse-3k2.pages.dev/news/84738c964643 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Human-AI Coevolution Dynamics: A Formal Theory of Social Intelligence Emergence Through Long-Term Interaction arXiv:2606.19144v1 Announce Type: cross Abstract: Current conversational AI systems have made significant progress in language generation, personalization, and long-context interaction. However, most https://pulse-3k2.pages.dev/news/f940bfaad899 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IndicContextEval: A Benchmark for Evaluating Context Utilisation in Audio Large Language Models Across 8 Indic Languages arXiv:2606.19157v1 Announce Type: cross Abstract: AudioLLMs enable speech recognition conditioned on textual prompts such as domain descriptions or entity lists. However, it remains unclear whether th https://pulse-3k2.pages.dev/news/a14ce5ca0ebf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability arXiv:2606.19236v1 Announce Type: cross Abstract: Reinforcement Learning with Verifiable Rewards algorithms like GRPO have emerged as the dominant post-training paradigm for complex reasoning in LLMs, https://pulse-3k2.pages.dev/news/8d9045044a44 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structured Inference with Large Language Gibbs arXiv:2606.19264v1 Announce Type: cross Abstract: The knowledge encoded in large language models (LLMs) can serve as a substrate for structured reasoning over variables describing a complex world, but https://pulse-3k2.pages.dev/news/40378f242d78 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation arXiv:2606.19327v1 Announce Type: cross Abstract: Post-training of reasoning language models is commonly driven by supervised distillation and reinforcement learning with verifiable rewards. Distillat https://pulse-3k2.pages.dev/news/5582bb3c5279 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Native Active Perception as Reasoning for Omni-Modal Understanding arXiv:2606.19341v1 Announce Type: cross Abstract: Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly regardless of query difficulty, c https://pulse-3k2.pages.dev/news/ca61aba3f5fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Application of integrated gradients explainability to sociopsychological semantic markers arXiv:2503.04989v2 Announce Type: replace Abstract: Classification of textual data in terms of sentiment, or more nuanced sociopsychological markers (e.g., agency), is now a popular approach commonly https://pulse-3k2.pages.dev/news/53bac8b6ce77 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads arXiv:2505.20045v3 Announce Type: replace Abstract: While large language models (LLMs) have become highly capable, they remain prone to factual inaccuracies, commonly referred to as "hallucinations." https://pulse-3k2.pages.dev/news/d6fd9de39220 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark arXiv:2505.23851v3 Announce Type: replace Abstract: Large language models (LLMs) are increasingly applied to symbolic mathematics, yet existing evaluations often conflate pattern memorization with gen https://pulse-3k2.pages.dev/news/9b63d6868436 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Phonikud: Overcoming Phonetic Underspecification for Hebrew Text-To-Speech arXiv:2506.12311v3 Announce Type: replace Abstract: Text-to-speech (TTS) for Modern Hebrew is challenged by the language's orthographic complexity, with existing solutions ignoring underspecified phon https://pulse-3k2.pages.dev/news/54abf5ff919c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients" arXiv:2508.04086v3 Announce Type: replace Abstract: Prior work synthesizes tool-use LLM datasets by first generating a user query, followed by complex tool-use annotations like depth-first search (DFS https://pulse-3k2.pages.dev/news/7ad72089c52a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TurnGuide: Enhancing Meaningful Full Duplex Spoken Interactions via Dynamic Turn-Level Text-Speech Interleaving arXiv:2508.07375v3 Announce Type: replace Abstract: Full-Duplex Speech Language Models (FD-SLMs) are specialized foundation models designed to enable natural, real-time spoken interactions by modeling https://pulse-3k2.pages.dev/news/d062cc906ede 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UMA-Split: unimodal aggregation for both English and Mandarin non-autoregressive speech recognition arXiv:2509.14653v2 Announce Type: replace Abstract: This paper proposes a unimodal aggregation (UMA) based nonautoregressive model for both English and Mandarin speech recognition. The original UMA ex https://pulse-3k2.pages.dev/news/7a2a89eeaa26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UniECG: Understanding and Generating ECG in One Unified Model arXiv:2509.18588v2 Announce Type: replace Abstract: Electrocardiogram (ECG) interpretation is a fundamental skill in medical education, yet students often need more than static examples to connect wav https://pulse-3k2.pages.dev/news/4265e1e8a957 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing arXiv:2510.04120v2 Announce Type: replace Abstract: Large language models (LLMs) achieve strong performance on metaphor detection and interpretation tasks, yet it remains unclear what such behavioral https://pulse-3k2.pages.dev/news/9f37ab99d2f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Cross-lingual Gaps from a Statistical Viewpoint arXiv:2510.15551v2 Announce Type: replace Abstract: Any piece of knowledge is usually expressed in one or a handful of natural languages on the web or in any large corpus. Large Language Models (LLMs) https://pulse-3k2.pages.dev/news/15e8b74bb680 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs arXiv:2601.13836v2 Announce Type: replace Abstract: Although Multimodal Large Language Models (MLLMs) demonstrate strong omni-modal perception, their ability to forecast future events from audio-visua https://pulse-3k2.pages.dev/news/4eea024d9b59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling arXiv:2601.17226v2 Announce Type: replace Abstract: Counterfactual story retelling exposes LLM shortcomings in constrained narrative solution spaces where they can no longer rely on recalling memorise https://pulse-3k2.pages.dev/news/1791b58f6fb4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs arXiv:2602.05992v3 Announce Type: replace Abstract: Diffusion large language models (dLLMs) have emerged as a promising alternative for text generation, distinguished by their native support for paral https://pulse-3k2.pages.dev/news/5ed126e59df9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improve Large Language Model Systems with User Logs arXiv:2602.06470v3 Announce Type: replace Abstract: Scaling training data and model parameters has long driven progress in large language models (LLMs), but this paradigm is increasingly constrained b https://pulse-3k2.pages.dev/news/af84678cdfea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey arXiv:2602.15851v2 Announce Type: replace Abstract: Applications of narrative theories using large language models (LLMs) deliver promising methods in automatic story generation and understanding task https://pulse-3k2.pages.dev/news/5d26184d6fdc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ActMem: Bridging the Gap Between Memory Retrieval and Reasoning in LLM Agents arXiv:2603.00026v2 Announce Type: replace Abstract: Memory management is essential for LLM agents in long-term interactions. Current memory frameworks typically treat agents as passive ``recorders'' a https://pulse-3k2.pages.dev/news/0db8ca9a54f9 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/52094290589_762e9efbed_b%20%281%29.jpg?itok=zLilegey MIT in the media: For the future of tech, "Massachusetts can absolutely lead" Leaders, faculty across MIT discuss fostering innovation and talent in Greater Boston in special series of articles published alongside the outlet's annual list of 'Tech Power Players' https://pulse-3k2.pages.dev/news/37d56e6dfbd1 2026-07-02 monthly 0.7 https://preview.redd.it/6f2gghbgqy7h1.png?width=140&amp;height=71&amp;auto=webp&amp;s=5929ea5ea432ac16388405ebc6af801b4dc84d89 price rising effect is wild.. https://preview.redd.it/6f2gghbgqy7h1.png?width=2980&format=png&auto=webp&s=eacde26d8d0154aabc9884d4c31607aa12ace68c Q.01 out soon? i dont really need precision after all.. &#32; submitted by &#32; /u https://pulse-3k2.pages.dev/news/c5e8bbe0bf96 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f368d0fd6309 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18543/gradient.png CEO-Bench: Can Agents Play the Long Game? Abstract CEO-Bench evaluates language model agents' ability to manage a simulated startup over 500 days, testing their proficiency in long-term planning, noise handling, adaptability, and multi-task c https://pulse-3k2.pages.dev/news/47a0cb6970f4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1103cd90801f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18101/gradient.png Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding Abstract Quality-aware self-distillation improves vision-language model performance for GUI grounding by enhancing coordinate-token teacher signals through correctness-aware gating and probability sca https://pulse-3k2.pages.dev/news/2f378c007c33 2026-07-02 monthly 0.7 https://blog.alexellis.io/content/images/2026/06/17/6000.jpg Local Qwen isn't a worse Opus, it's a different tool Article URL: https://blog.alexellis.io/local-ai-is-not-opus/ Comments URL: https://news.ycombinator.com/item?id=48580209 Points: 214 # Comments: 101 https://pulse-3k2.pages.dev/news/f0bb348b8306 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14383/gradient.png IndustryBench-MIPU: Benchmarking Multi-Image Attribute Value Extraction for Industrial Products Abstract IndustryBench-MIPU is introduced as the first large-scale benchmark for multi-image industrial product understanding, focusing on structured attribute extraction from heterogeneous product im https://pulse-3k2.pages.dev/news/cc2e99b2e911 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16533/gradient.png Kairos: A Native World Model Stack for Physical AI Abstract Kairos is a native world model framework that learns from diverse experiences, maintains persistent states through hybrid temporal attention, and supports efficient deployment for physical AI https://pulse-3k2.pages.dev/news/acded504eb10 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19336/gradient.png Learning User Simulators with Turing Rewards Abstract A reinforcement learning approach using Turing test-based rewards trains language models to generate responses indistinguishable from human users in conversational and forum discussion settin https://pulse-3k2.pages.dev/news/27c408fb828b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18943/gradient.png Physics-IQ Verified Abstract A systematic evaluation of the Physics-IQ benchmark reveals limitations in measuring physical understanding of video generative models, leading to improvements in prompt quality and sample-le https://pulse-3k2.pages.dev/news/8e98526ad192 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18363/gradient.png Guava: An Effective and Universal Harness for Embodied Manipulation Abstract A harness framework for embodied tool use combines high-level reasoning with external modules, enabling compact models to perform complex manipulation tasks with minimal training data. Genera https://pulse-3k2.pages.dev/news/96462802cc97 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/92b781e37b01 2026-07-02 monthly 0.7 https://external-preview.redd.it/bu8oC3sHqFnYrG7z9phMNBW7H4Upyo0fhIMw_5Cc0yQ.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=a7847fb0673df1b05504ffa0fcc1ccb3fe0e4bff Leaked financial docs show OpenAI is losing billions of dollars a year &#32; submitted by &#32; /u/johnnyApplePRNG [link] &#32; [comments] https://pulse-3k2.pages.dev/news/538605f2e854 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19338/gradient.png Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games Abstract A new benchmark suite called RNG-Bench is introduced to evaluate multimodal foundation models' ability to reconstruct past observations and use them for decision-making in multi-step interact https://pulse-3k2.pages.dev/news/a21210ec78e3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.19005/gradient.png Sumi: Open Uniform Diffusion Language Model from Scratch Abstract A large-scale uniform diffusion language model pretrained from scratch demonstrates competitive performance on knowledge and reasoning tasks while highlighting differences in commonsense reas https://pulse-3k2.pages.dev/news/6c941dc699c5 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-182884083.jpg?resize=1200,800 How to turn off AI in your Google Docs Here's what you need to do to get those pesky "write with Gemini" pop-ups to go away. https://pulse-3k2.pages.dev/news/6127af67bad4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17730/gradient.png ActWorld: From Explorable to Interactive World Model via Action-Aware Memory Abstract ActWorld extends navigation-centric interactive world models to support object interaction through a chunk-autoregressive framework with hierarchical action-aware memory and persistent memory https://pulse-3k2.pages.dev/news/a5993a84c953 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8082b206a0fe 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16905/gradient.png Speaking the Language of Science: Toward a General-Purpose Generative Foundation Model for the Natural Sciences Abstract A unified scientific generative language model encodes diverse scientific objects and spatial interactions as token sequences, demonstrating strong performance across multiple domains through https://pulse-3k2.pages.dev/news/78ee1e01f799 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/432c23c0dd1c 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/is-it-agentic-enough/thumbnail.png Is it agentic enough? Benchmarking open models on your own tooling Back to Articles a]:hidden"> Is it agentic enough? Benchmarking open models on your own tooling Published June 18, 2026 Update on GitHub Upvote 2 Lysandre lysandre Nathan Habib SaylorTwift Pedro Cuenc https://pulse-3k2.pages.dev/news/26cac6709021 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/peft-beyond-lora/thumbnail.png Beyond LoRA: Can you beat the most popular fine-tuning technique? Back to Articles a]:hidden"> Beyond LoRA: Can you beat the most popular fine-tuning technique? Published June 18, 2026 Update on GitHub Upvote 6 Benjamin Bossan BenjaminB Sayak Paul sayakpaul Marian h https://pulse-3k2.pages.dev/news/f789678befe6 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/glm-5.2-pelican.svg GLM-5.2 is probably the most powerful text-only open weights LLM Chinese AI lab Z.ai released GLM-5.2 to their coding plan subscribers on June 13th, and then yesterday (June 16th) released the full open weights under an MIT license. Similar in size to their previou https://pulse-3k2.pages.dev/news/fc23d0ecf60a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/59341cc6514e 2026-07-02 monthly 0.7 https://preview.redd.it/qmsrjpq28x7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b1b1cbbedd9bbc2e58c9eb887646bcaab0ede70f I released Inflect-Nano, an ultra-extreme tiny 4.63m parameter TTS model. I’ve been experimenting with how small a usable neural TTS model can realistically get, and I just released Inflect-Nano-v1 . As far as I researched (though I could be wrong on this), Inflect-Nano-v1 https://pulse-3k2.pages.dev/news/3c9fd5b612c4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1e99cd7016d7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/16ac3d591efe 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9426eee4ab9b 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-1265241057-1152x648.jpg Tesco moving 40k server workloads off VMware amid Broadcom's abusive conduct Article URL: https://arstechnica.com/information-technology/2026/06/tesco-moving-40000-server-workloads-off-vmware-amid-broadcoms-abusive-conduct/ Comments URL: https://news.ycombinator.com/item?id=48 https://pulse-3k2.pages.dev/news/986d32f24169 2026-07-02 monthly 0.7 https://openrouter.ai/blog/images/blog/battle-royale/header-v2.png A robot is sprinting towards you. Do you want it running on Claude or Grok? Article URL: https://openrouter.ai/blog/insights/royale-last-agent-standing/ Comments URL: https://news.ycombinator.com/item?id=48576824 Points: 244 # Comments: 189 https://pulse-3k2.pages.dev/news/e5873f6184f8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d0def45db056 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/10/2243688557.jpg?resize=1200,800 Roelof Botha joins SpaceX&#8217;s board of directors The former Sequoia Capital leader is filling an "existing vacancy" on SpaceX's board, days after the company went public in the largest IPO ever. https://pulse-3k2.pages.dev/news/5f5a04a026ed 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d6f755107e9c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2281915461.jpg?resize=1200,800 After unveiling ridiculously expensive AR glasses, Snap&#8217;s stock takes a dive Snap's long-awaited smart glasses debut hasn't exactly done wonders for the company's stock. https://pulse-3k2.pages.dev/news/f709715eb74f 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/Tiffany-Luck_headshot.jpg?resize=1200,800 NEA’s Tiffany Luck says enterprises are still figuring out their AI ROI Tokenmaxxing&#160;was&#160;the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as far&#160;as it would go.&#160;Then the bill came due. Uber&#160;re https://pulse-3k2.pages.dev/news/942e9a2cac8e 2026-07-02 monthly 0.7 https://external-preview.redd.it/MjVlemMyMzN6dDdoMfI4JyUJl5HtSDEyGvHK54tyE3BN8MzRYPbjxljOrAzB.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=81e6ec2a4cd095084410b4c2fef911441431f43a GLM 5.2 Release Video [Made with GLM 5.2] Everyone's probably seen the remotion thing that went viral a couple months back with CC. Its basically that with GLM 5.2 as the model provider. Close to Fable but still a step below on creativity, to https://pulse-3k2.pages.dev/news/03565b0b529f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c1d85b2211eb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/325278019e2b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7572cb155fbc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/db8aa78e1c55 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15134/gradient.png Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings Abstract SAGA framework uses multimodal large language models to provide attribute-aware supervision for vision encoders through Group Relative Policy Optimization, improving zero-shot image retrieval https://pulse-3k2.pages.dev/news/a940cbfe8531 2026-07-02 monthly 0.7 https://preview.redd.it/dt1nlhkybw7h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=9cb6b8f529b8b78115664212bacdbce0802e4539 Lemonade v10.8: auto memory management, cloud offload, Omni improvements, and call your local models as MCP tools v10.8 is out, so here's a project update on what landed. This was a 20-contributor release in just 7 days! Smarter memory and context management Dynamic VRAM management now auto-unloads idle models an https://pulse-3k2.pages.dev/news/c657b6576b97 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/608776889-fa214f25-8231-4b9f-a0cc-9eff3cbb1be8.png?resize=1024%2C576 Getting more from each token: How Copilot improves context handling and model routing How GitHub Copilot is making more of each session go toward useful work, so your credits go further. The post Getting more from each token: How Copilot improves context handling and model routing appe https://pulse-3k2.pages.dev/news/2d515dc320c6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/26fda9393fa8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a13a388a106 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Screenshot-2026-06-17-at-2.40.06-PM-1152x648.png AI coding agents taught robots how to install GPUs and cut zip-ties NVIDIA’s self-improvement program for robots enlists teams of AI coding agents. https://pulse-3k2.pages.dev/news/3fc4a93565b2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/33bbeaab7e57 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202605/mit-lids-game-theory.jpg?itok=VxYl6kBb In game theory, generalists sometimes win out over specialists Researchers show that for certain kinds of games, an overlooked class of algorithms performs much better than expected. https://pulse-3k2.pages.dev/news/819ce18c6e68 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2281424015.jpg?w=1024 World leaders want American AI. They just don&#8217;t want America to be able to turn it off. French President Macron and Indian PM Modi raised alarms at the G7 summit that the U.S. could cut off access to American AI overnight — a fear the Anthropic blackout just made real. https://pulse-3k2.pages.dev/news/5d15f9e42200 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c28d7cf60658 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ef1dbdb7f453 2026-07-02 monthly 0.7 https://external-preview.redd.it/BeEPdz_yNWFN138PIIKviGlV0jg1UppFNwX0xt9mIeg.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=d4baa755d4b5a6d080ee7fa32b1bbdbd9697a52e PSA: unsloth/GLM-5.2-GGUF is uploading Went to check Unsloth's HF to see if they uploaded GLM-5.2 GGUFs, and found the repo was created half an hour ago. It only has the readme for now. I suspect GGUFs are uploading &#32; submitted by &#32 https://pulse-3k2.pages.dev/news/3d318b80952c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b311cf6b3806 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2278736523.jpeg?resize=1200,798 Anthropic becomes first AI startup to join the Frontier carbon removal coalition Anthropic has joined the Frontier coalition, which received another $915M in pledges to fund carbon removal projects. https://pulse-3k2.pages.dev/news/624b3e37b0b2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bbabca8b52cf 2026-07-02 monthly 0.7 https://preview.redd.it/vbwyt0i8yv7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=583f6d5877c0f0f4fe231af49ff71ee5f3574ef2 i post-trained a model to reliably roll a die lots of talk about agi, asi, rsi but ask any frontier LLM to roll a die and it will almost always say "4." claude, gpt, kimi - doesn't matter, 4.4.4.4. that sounds silly, but I think it’s actually a n https://pulse-3k2.pages.dev/news/d503d6fd0a62 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d4e7a7a0607 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/06/social-media-icons.jpg?resize=1200,798 Social media’s next evolution: User-controlled algorithms Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let users directly influence the algorithms powering their recommendations. https://pulse-3k2.pages.dev/news/9780be7910c1 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!oYmL!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F00af2cc5-9169-499a-928f-4781e917cc7c_1500x1267.jpeg How to Be Irreplaceable Don't let AI flatten your uniqueness https://pulse-3k2.pages.dev/news/18f46d97cf16 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Ka51!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F8fb2e48c-be2a-4db7-b68c-90300f00fd1e_1668x1456.jpeg Breaking: Trump asks the impossible of Anthropic Where do we go from here? https://pulse-3k2.pages.dev/news/1b4ed4958f2b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/478d9f631652 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/09/GettyImages-640351099.jpg?resize=1200,849 NEA&#8217;s Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning Tokenmaxxing&#160;was&#160;the hottest trend in Silicon Valley earlier this year, with CEOs encouraging employees to push AI usage as far&#160;as it would go.&#160;Then the bill came due. Uber&#160;re https://pulse-3k2.pages.dev/news/075b966bd6aa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8e6bb3f38fd5 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/05/Dario-Amodei-Code-with-Claude-SF-2026-1152x648.jpg "Dangerous" AI models are coming no matter what AI models with advanced hacking capabilities will soon be the norm. https://pulse-3k2.pages.dev/news/ee5dc78bd3fd 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/11/ODYSSEY-INTHEWILD-974_Retouched_V1.00.jpg?resize=1200,800 World model maker Odyssey nabs $1.45B valuation backed by Amazon and other big names World models are the next big thing in AI beyond LLMs and, with this round, Odyssey has cemented itself as one of the startups to watch. https://pulse-3k2.pages.dev/news/2fed1bec2bd6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/515c521aa1d8 2026-07-02 monthly 0.7 https://external-preview.redd.it/RgAfPwc7U7AGEcxD0t1rwpfIGH_xw-bXNmwoiXPDRwY.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b5725af097b5518b29280d8e4f9e83407b98b8b1 Multilingual-Multimodal-NLP/LoopCoder-V2 · Hugging Face GitHub : https://github.com/CSJianYang/LoopCoder arXiv : https://arxiv.org/abs/2606.18023 Full Paper PDF : https://arxiv.org/pdf/2606.18023 LoopCoder-V2 LoopCoder-v2 is a 7B instruction-tuned code mod https://pulse-3k2.pages.dev/news/25776de53c58 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/333c942e7433 2026-07-02 monthly 0.7 https://external-preview.redd.it/b3E2bGx0cXJpdjdoMZYaYDrsBSb1F59DWp3ksFFRIqLnz6tdS6Ev_omXzCKl.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=21f01be38f0470e09f8e8cf7774d8c7568786c88 Gemma 4 E2B running in-browser at 255 tok/s using WebGPU kernels written by Fable 5 Before Fable 5 was shutdown, it helped us optimize our Gemma 4 WebGPU kernels, reaching around 255 tokens per second on my M4 Max. Today, we're releasing the demo and kernels for you to try out yourse https://pulse-3k2.pages.dev/news/39bd80a5f481 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb830a8f052f 2026-07-02 monthly 0.7 https://preview.redd.it/mo118t48gv7h1.jpg?width=140&amp;height=58&amp;auto=webp&amp;s=717e8a4a17e1fbfc53ba66b543008180a021958a GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine? arXiv : https://arxiv.org/abs/2606.17861 Full Paper : https://arxiv.org/pdf/2606.17861 HuggingFace : https://huggingface.co/papers/2606.17861 GitHub : https://github.com/tongxuluo/gamecraft-bench Proj https://pulse-3k2.pages.dev/news/00071e11597b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/464ee8d751c3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/spacexipo-nasdaq.jpg?resize=1200,800 Only 16 percent of Americans think AI will have a positive impact on society, a new study shows Although Wall Street loves AI, every day Americans are significantly less optimistic about the industry, a new report from Pew Research shows. https://pulse-3k2.pages.dev/news/ffa3dd06b35b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6940d3217280 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13929/gradient.png Self-Evolving Visual Questioner Abstract A vision-language model autonomously improves its question-generation capabilities through self-evolution, enhancing both question quality and answerer performance without external supervisio https://pulse-3k2.pages.dev/news/010be1523b33 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Google-Home-Speaker-Berry.jpeg?resize=1200,899 Google bets on Gemini to reinvent the smart home speaker Google is betting generative AI can breathe new life into the smart speaker. The company's new $99.99 Google Home Speaker replaces the rigid commands of the Google Assistant era with more conversation https://pulse-3k2.pages.dev/news/480337b1c7db 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17182/gradient.png Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems Abstract Multi-agent LLM systems with shared state are analyzed through formal methods identifying concurrency anomalies and establishing a verified consistency hierarchy with mechanized proofs of sou https://pulse-3k2.pages.dev/news/bf5ff30def5b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d0ecc4214e6c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2f67f4e006c8 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Google-Home-Speaker-Jade-copy-1152x648.jpg The Gemini-powered Google Home Speaker arrives on June 25 for $100 Google's new smart speaker is more about Gemini than audio quality. https://pulse-3k2.pages.dev/news/ece735789829 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/638e39b249de7ae552d977b5/wdq3AFZcDZAekGTb16VDy.png MolmoMotion: Language-guided 3D motion forecasting Back to Articles a]:hidden"> MolmoMotion: Language-guided 3D motion forecasting Enterprise Article Published June 17, 2026 Upvote - Kyle Wiggers Ai2Comms allenai 🧠 Models: https://huggingface.co/coll https://pulse-3k2.pages.dev/news/8417b26171b6 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2238192342.jpg?resize=1200,800 The slowtech revolution is here to kill your phone addiction and rescue your attention span “People just really want to take back control of their time, their lives, their attention... They’re down for whatever helps them do that.” https://pulse-3k2.pages.dev/news/3cd9fa5188e5 2026-07-02 monthly 0.7 https://preview.redd.it/4s788oum1v7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=300fb8875149824fd7a468d3ad469e142c1f82a3 TRELLIS.2 now runs natively on MLX (Image to 3d object model) I made a native MLX port of Microsoft's TRELLIS.2 for Apple Silicon. Focused on making the output actually usable in real workflows Support 512x512 and 1024x1024 Performance on M4 Max 512x512 ~70 sec https://pulse-3k2.pages.dev/news/1b7224322ee9 2026-07-02 monthly 0.7 https://preview.redd.it/k63kpgs2xu7h1.jpg?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=28094e042e5525ab21414c714edb14a51d731f8c I deployed a GAN on a Raspberry Pi 4 and built a physical NFT minting device [P] I trained a 128×128 DCGAN on my Macbook M3 and deployed it on a Raspberry Pi 4 connected to a LILYGO TTGO T-Display ESP32. The whole thing runs headlessly as a systemd service and generates hallucinat https://pulse-3k2.pages.dev/news/c30bb19e7e3b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aaf71541169b 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/DSC_2479.jpg?resize=1200,800 Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it If physical AI is going to match the accomplishments of LLMs, there's a data problem that needs to be solved. https://pulse-3k2.pages.dev/news/097f813c5a27 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/172944e9d99c 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/06077e73-d656-4396-bda7-34b45e920822_3182x1790.png State of the blog, mid-2026 About 3 years since I started writing weekly. https://pulse-3k2.pages.dev/news/084cc9d517da 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e9ed95bf0e77 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!aax3!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fef553825-6e34-4653-ba0d-3e9b416c225f_1774x887.png AI demands more engineering discipline. Not less Article URL: https://charitydotwtf.substack.com/p/ai-demands-more-engineering-discipline Comments URL: https://news.ycombinator.com/item?id=48570948 Points: 216 # Comments: 107 https://pulse-3k2.pages.dev/news/35c5de2fa4b6 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Screenshot-2026-06-17-at-9.53.46-AM.jpg?resize=1200,560 Pramaana Labs raises $27M seed round from Khosla Ventures to bring formal verification to AI Pramaana will focus on highly sensitive verticals like law, drug discovery, and tax preparation — where errors can be costly and reliability is at a premium. https://pulse-3k2.pages.dev/news/cfb87c53429f 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!9dSN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fade74110-6031-4e57-b986-8679bb345993_1106x653.png The Once And Future Fable #3: Fix This Code The mainstream media continues to sleep on the most important story in the world. https://pulse-3k2.pages.dev/news/daec8eec1d28 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2c7718984c4c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9257f90772ac 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b75a56a4031a 2026-07-02 monthly 0.7 https://lutr.dev/assets/covers/want-your-images-back-sure-that-ll-be-5-dollars.png Want your images back? Sure... That'll be $5! Article URL: https://www.lutr.dev/want-your-images-back-sure-that-ll-be-5-dollars Comments URL: https://news.ycombinator.com/item?id=48569954 Points: 277 # Comments: 116 https://pulse-3k2.pages.dev/news/4869a9bc9a3b 2026-07-02 monthly 0.7 https://storage.ghost.io/c/2a/a1/2aa1e854-2453-4853-93ef-f908dd588729/content/images/size/w1200/2026/06/ChatGPT-Image-16-cze-2026-o-18_07_16.png Why thinking out loud with someone beats thinking alone Article URL: https://www.thesignalist.io/s/the-dialogue-dividend/ Comments URL: https://news.ycombinator.com/item?id=48569894 Points: 270 # Comments: 113 https://pulse-3k2.pages.dev/news/11043129c629 2026-07-02 monthly 0.7 https://external-preview.redd.it/cXBobXF0eDBidTdoMVT9eUJxhkxnhE3EjwxgBaa88b0INJIzvWeV8tu8THlf.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=71fb717288bef44c57f0e7f2091604f7096f74a1 Headless screenshot loops let a local 30B agent finish a raytraced FPS demo in pure C Some background so this is honest. Over the past few months I ran a lot of oneshot experiments with single file three.js games. Minecraft clones, that kind of thing. I picked those on purpose because https://pulse-3k2.pages.dev/news/01dbcf936836 2026-07-02 monthly 0.7 https://external-preview.redd.it/Y2c0YWZrdmE4dTdoMfkg3vP8lSiQ8WmshsYuk-MmB29tFCxkLAw8mc3lx8TU.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=19ee8a1b7662227ca6a5721c67ef0d962419fd4a I released a local LLM-powered RPG where generated NPCs, locations, items, and quests persist as in-game objects In this game, NPCs, locations, items, quests, and other elements are generated not as one-off text, but as persistent in-game objects. The LLM handles dialogue, narration, situational interpretation, https://pulse-3k2.pages.dev/news/a5944706c770 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/05/GettyImages-1468360413.jpg?resize=1200,857 Canadian pension giant joins race to fund India&#8217;s AI-fueled data center boom The Canadian pension giant will acquire an 8.2% stake in CtrlS, a tech giant that operates more than 15 data centers across India. https://pulse-3k2.pages.dev/news/ac8ab04bff89 2026-07-02 monthly 0.7 https://preview.redd.it/vcu6nxb87u7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=83a00536b83514446aecf3a234c2b93e9272e269 SIQ-1 Qwen3.6 for autoresearch and autonomous agency Took Qwen-35B-A3 and trained it with PPO — and honestly this is the first time I've ever seen PPO actually pull its weight (with verifiable reward). SO: On karpathy/autoresearch for parameter-golf → b https://pulse-3k2.pages.dev/news/78d4e0e5f533 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aeb96fe23456 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f642ea129e75 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17081/gradient.png The Price of Anarchy in Disaggregated Inference Abstract Disaggregated inference architectures separate prefill and decode phases across distinct GPU pools, and a game-theoretic analysis characterizes how GPU saturation affects system performance t https://pulse-3k2.pages.dev/news/d4ee4a9df2e3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Mixhalo-Billboard-2-1200x627-2.jpeg?resize=1200,675 DeepL acquires Mixhalo for live-event audio streaming and translation With this acquisition, DeepL is opening an office in San Francisco to expand its U.S. business. https://pulse-3k2.pages.dev/news/1da953622b3a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0969c7f175bf 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/cdf29f3e31fce12a8d584e6df172644065ff1bbbf3f95536fedf5c0b11abc918/rxi/microui MicroUI – A tiny, portable, immediate-mode UI library written in ANSI C Article URL: https://github.com/rxi/microui Comments URL: https://news.ycombinator.com/item?id=48569205 Points: 205 # Comments: 72 https://pulse-3k2.pages.dev/news/dd4cd34afa52 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14885/gradient.png Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion Abstract DR-DCI framework combines retrieval with direct corpus interaction by dynamically pulling relevant documents into a local workspace, enabling scalable and efficient agentic search across larg https://pulse-3k2.pages.dev/news/48df21e94599 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15231/gradient.png Visual-Seeker: Towards Visual-Native Multimodal Agentic Search via Active Visual Reasoning Abstract Visual-Seeker enables visual-native multimodal deep search through active visual reasoning, outperforming proprietary models on real-world web environments. Generated by Qwen/Qwen2.5-Coder-32 https://pulse-3k2.pages.dev/news/9523acd39ff5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18180/gradient.png EgoCS-400K: An Egocentric Gameplay Dataset for World Models Abstract EgoCS-400K is a large-scale egocentric Counter-Strike dataset that bridges passive web videos and costly real-world embodied data by providing temporally aligned video-action-language traject https://pulse-3k2.pages.dev/news/2c1ef9662e0a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b91d3f896be1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/605d1ca51a84 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17168/gradient.png RepSelect: Robust LLM Unlearning via Representation Selectivity Abstract RepSelect isolates forget-set-specific representations in LLMs by collapsing top principal components of weight gradients, achieving deeper and more robust unlearning compared to existing met https://pulse-3k2.pages.dev/news/cb0050ce80fc 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/ask-pinterest.jpg?resize=1200,922 Pinterest launches an experimental AI shopping app called &#8216;Ask Pinterest&#8217; Pinterest has launched 'Ask Pinterest,' an experimental AI-powered shopping app that lets users seek recommendations and inspiration through a conversational interface. https://pulse-3k2.pages.dev/news/b58e940125d9 2026-07-02 monthly 0.7 https://www.rfc-editor.org/api/v1/meta-thumbnail/rfc10008.png RFC 10008: The new HTTP Query Method Article URL: https://www.rfc-editor.org/info/rfc10008/ Comments URL: https://news.ycombinator.com/item?id=48568502 Points: 219 # Comments: 105 https://pulse-3k2.pages.dev/news/c2aaca16ce14 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15158/gradient.png RefGC-SR^2: Reference-guided Generated Content Super-Resolution and Refinement Abstract A new reference-guided generated content super-resolution-refinement task is introduced that simultaneously recovers high-resolution details and refines generative artifacts using a frequency https://pulse-3k2.pages.dev/news/5b9f29ac6f55 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/270262b34266 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/6a1dc0f2b4238bb17ff94794/qvSGZ0tZsgr4U4BCx_bVX.png From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot Back to Articles a]:hidden"> From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot Enterprise Article Published June 17, 2026 Upvote 4 Sundar Raghavan rsundaraws amazon Cagatay C https://pulse-3k2.pages.dev/news/0c3c9bd1ec2f 2026-07-02 monthly 0.7 https://s0.wp.com/_si/?t=eyJpbWciOiJodHRwczpcL1wvaTAud3AuY29tXC9zdHJhdGVjaGVyeS5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMThcLzAzXC9jcm9wcGVkLWFuZHJvaWQtY2hyb21lLTUxMng1MTItMS5wbmc_Zml0PTUxMiUyQzUxMiZzc2w9MSIsInR4dCI6IlN0cmF0ZWNoZXJ5IGJ5IEJlbiBUaG9tcHNvbiIsInRlbXBsYXRlIjoiZWRnZSIsImZvbnQiOiIiLCJibG9nX2lkIjoxODgwNDM0MTV9.5VWck4PcKPWCTPe_HVznn3n3xsgn-G0b3d2OeiNNC7cMQ The State of Fable, The Jailbreak Problem, SpaceX Acquires Cursor The administration is very likely wrong about Fable, but that is ultimately Anthropic's responsibility. https://pulse-3k2.pages.dev/news/5ff2f715f1e6 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4NBFdbusKgYSDZQu73MAR9/2f84206eba72f43384d4bb005b97f8c3/molecule-one-SEO-Card.png?w=1600&amp;h=900&amp;fit=fill A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research. https://pulse-3k2.pages.dev/news/c0023da8dcd7 2026-07-02 monthly 0.7 https://preview.redd.it/knc4ht7bft7h1.png?width=140&amp;height=105&amp;auto=webp&amp;s=21d24edfdaa7d8113f77821d3b6efcf7bf06e9f1 Local models went from mostly useless to actually useful really fast. What changed? https://preview.redd.it/knc4ht7bft7h1.png?width=1048&format=png&auto=webp&s=49abdb8b0f358e799ecb06aa49134d9b0fd49336 Mitchell Hashimoto had a good point earlier: local models went from basically usele https://pulse-3k2.pages.dev/news/7e84317d009d 2026-07-02 monthly 0.7 https://static.scientificamerican.com/dam/asset/14de7018-3a11-43b8-8392-6e83ccd5b0a3/saw070826Roge01.jpg?m=1779983432.668&w=1200 U.S. science is in chaos Article URL: https://www.scientificamerican.com/article/americas-compact-between-science-and-politics-is-broken/ Comments URL: https://news.ycombinator.com/item?id=48568058 Points: 265 # Comments: 306 https://pulse-3k2.pages.dev/news/ef3ea3a03942 2026-07-02 monthly 0.7 https://cdn.sanity.io/images/6vfeftx9/articles/204f6bd201e215286fd69d162a84dfdf4a24d197-768x768.webp?w=1200&amp;auto=format GLM-5.2 is the new leading open weights model on Artificial Analysis Article URL: https://artificialanalysis.ai/articles/glm-5-2-is-the-new-leading-open-weights-model-on-the-artificial-analysis-intelligence-index Comments URL: https://news.ycombinator.com/item?id=48567 https://pulse-3k2.pages.dev/news/297d275cb507 2026-07-02 monthly 0.7 https://external-preview.redd.it/Alp5iaJRPmbrjsp9l7MvlpI2rwfbmtYxOxVgIlpHYDI.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=7311f5c665a2ac41ff97edeec0d20d0024dfab25 GLM-5.2: Built for Long-Horizon Tasks &#32; submitted by &#32; /u/paf1138 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/9e3636b0b034 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/67066ea38a79951d7b8d4195/iaTHtYOBgeY0C3Xx3vymr.png GLM-5.2: Built for Long-Horizon Tasks Back to Articles a]:hidden"> GLM-5.2: Built for Long-Horizon Tasks Team Article Published June 17, 2026 Upvote 13 Z.AI zaiorg zai-org We're introducing GLM-5.2, our latest flagship model for long-hori https://pulse-3k2.pages.dev/news/b40df427e853 2026-07-02 monthly 0.7 https://preview.redd.it/efm7zazr2t7h1.png?width=140&amp;height=90&amp;auto=webp&amp;s=c1b7070ca3de62bdc276d7a185c72f6737e6f92e Next-Latent Prediction Transformers [R] Microsoft Research Preprint Next-token prediction is myopic. What if transformers learn to predict their own next latent state? Microsoft Research present Next-Latent Prediction (NextLat) : a self-sup https://pulse-3k2.pages.dev/news/b4eb1f833c85 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/461a2705e33a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16767/gradient.png Text-Vision Co-Instructed Image Editing Abstract A unified text-visual image editing framework is presented that combines semantic intent from textual instructions with spatial guidance from visual prompts to achieve more precise and faithf https://pulse-3k2.pages.dev/news/126b31abdb1a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/69519ddef553 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/69a4d2148b2b 2026-07-02 monthly 0.7 https://preview.redd.it/dm4nh4t71o7h1.png?width=140&amp;height=90&amp;auto=webp&amp;s=4bde95d9237d3d2f4f1139976ad15967ef1f3f5c What is Speculative Decoding? (trending on paperswithco.de) [R] A method that is currently trending on Papers with Code is Speculative Decoding. https://preview.redd.it/dm4nh4t71o7h1.png?width=3082&format=png&auto=webp&s=b6468668667d4bcfb6c9248d3af7fd09f21fe0da Sp https://pulse-3k2.pages.dev/news/6f3006445b06 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e71c92d50aae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/857af25c7b9f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/262f17f36281 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18195/gradient.png Learning from the Self-future: On-policy Self-distillation for dLLMs Abstract d-OPSD introduces a novel on-policy self-distillation framework for diffusion language models by adapting self-teacher construction and supervision mechanisms to match the non-autoregressive https://pulse-3k2.pages.dev/news/135ff13ec7d0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18023/gradient.png LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling Abstract Parallel loop Transformers achieve better code generation performance with two loops due to refined representations, while additional loops cause diminishing returns and increased positional https://pulse-3k2.pages.dev/news/987f68465c3e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15378/gradient.png Rethinking the Role of Efficient Attention in Hybrid Architectures Abstract Hybrid architectures combining full attention with efficient attention modules like sliding-window attention exhibit distinct scaling behaviors and optimization trajectories, with efficient a https://pulse-3k2.pages.dev/news/9beb046be4e8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f95c5435ff6f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ffc4c951795e 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!tOcj!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2c75ad4c-83e2-4317-8cf0-276d3cab6e59_1226x1830.png [AINews] GLM-5.2: the top Frontend Coding model in the world, IndexShare for Speculative Decoding We have a new top open model in the world! https://pulse-3k2.pages.dev/news/a206ecc2e7cc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3e748d2e9bbb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18246/gradient.png Variable-Width Transformers Abstract A novel transformer architecture with nonuniform width allocation across layers achieves better performance and efficiency compared to uniform designs by utilizing a parameter-free residual r https://pulse-3k2.pages.dev/news/273741d9021f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs arXiv:2606.17057v1 Announce Type: cross Abstract: Although Knowledge Editing provides an efficient mechanism for updating the knowledge of Multimodal Large Language Models (MLLMs), we find that curren https://pulse-3k2.pages.dev/news/5214efffee4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diagnosing and Repairing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry arXiv:2606.17093v1 Announce Type: new Abstract: Learning-based single-shot fringe projection profilometry (FPP) has been studied mostly at close range. The long-range regime (standoff beyond 1 m) rema https://pulse-3k2.pages.dev/news/c11eae76b999 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Informative Missingness to Generate Irregular Clinical Time Series arXiv:2606.17106v1 Announce Type: new Abstract: Laboratory tests in electronic health records are collected irregularly, and the absence of a test order can be as informative as the measurement itself https://pulse-3k2.pages.dev/news/d81f4bf9af28 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Models Take Notes at Prefill: KV Cache Can Be Editable and Composable arXiv:2606.17107v1 Announce Type: new Abstract: Prefix caching reuses prefill only across an exactly shared prefix, so one changed field invalidates the entire downstream cache. Yet overwriting the fi https://pulse-3k2.pages.dev/news/89aa6805080a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance arXiv:2606.17113v1 Announce Type: cross Abstract: Distinguishing causal adverse drug events (ADEs) from spurious correlations remains a central challenge in pharmacovigilance. The InferBERT framework https://pulse-3k2.pages.dev/news/947d8f14d9d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probing, Fusion, and Trustworthiness: A Systematic Evaluation of Foundation Model Representations for Multimodal Cancer Analysis arXiv:2606.17115v1 Announce Type: new Abstract: Foundation models (FMs) have emerged as powerful representation extractors for medical data, yet their generalizability to datasets under distribution s https://pulse-3k2.pages.dev/news/99d03467c6b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MODE: Modality-Decomposed Expert-Level Mixed-Precision Quantization for MoE Multimodal LLMs arXiv:2606.17118v1 Announce Type: new Abstract: Mixture-of-Experts Multimodal Large Language Models (MoE-MLLMs) offer remarkable performance but incur prohibitive GPU memory costs, making compression https://pulse-3k2.pages.dev/news/db1be321dca3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Noise-Driven Escape from Metastable Phases explains Grokking in Deep Neural Networks arXiv:2606.17120v1 Announce Type: new Abstract: Deep neural networks (DNNs) exhibit first order phase transitions under variations of the L2 regularization strength, with each transition marking the o https://pulse-3k2.pages.dev/news/c76c25b504b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations arXiv:2606.17180v1 Announce Type: new Abstract: This chapter discusses how a data-driven machine learning approach can reproduce key aspects of the physical behavior of multiphase flows in complex geo https://pulse-3k2.pages.dev/news/7d777c681fd9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Verified Detection and Prevention of Concurrency Anomalies in Multi-Agent Large Language Model Systems arXiv:2606.17182v1 Announce Type: new Abstract: Multi-agent LLM systems share state through memory stores, vector indices, and tool registries. We model such sharing as long-running read-generate-writ https://pulse-3k2.pages.dev/news/52c5de46046e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Finsler Geometry, Graph Neural Networks, and You arXiv:2606.17185v1 Announce Type: new Abstract: Graph neural network architectures based on the graph Laplacian approximate the Laplace-Beltrami operator, thus limiting their application to isotropic https://pulse-3k2.pages.dev/news/57dfcb8ec076 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Diffusion Models with Primal-Dual Inference arXiv:2606.17192v1 Announce Type: new Abstract: This paper develops constrained diffusion models with primal-dual inference (PDI) to sample from optimal distributions of entropy-regularized optimizati https://pulse-3k2.pages.dev/news/02a0a906acb4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PowerOPD: Stabilizing On-Policy Distillation with Bounded Power Transformation arXiv:2606.17199v1 Announce Type: new Abstract: Standard on-policy distillation (OPD) for large language models estimates the reverse-KL objective using student-sampled tokens, yielding an unbiased si https://pulse-3k2.pages.dev/news/99e68ce63ff5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sum-of-Squares Degree Barriers for the Reweighted-Hinge Method in Robust Halfspace Learning: A Christoffel-Function Characterization arXiv:2606.17215v1 Announce Type: new Abstract: A certificate that removes outliers sees the data only through its low-degree moments, and an adversary exploits exactly this, hiding corruption where t https://pulse-3k2.pages.dev/news/efe23ec78dcf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rift: A Conflict Signature for Deception in Language Models arXiv:2606.17229v1 Announce Type: cross Abstract: A model that lies while knowing the truth is the central case ELK cannot handle with behavioral evaluation alone. We ask whether such deception leaves https://pulse-3k2.pages.dev/news/0a8f1f60463b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty Quantification of Engineering Structures by Polynomial Chaos Expansion and Multivariate Active Learning arXiv:2606.17233v1 Announce Type: new Abstract: In many engineering applications, a single high-fidelity model produces multiple quantities of interest (QoIs) under the same input parameters, e.g. fin https://pulse-3k2.pages.dev/news/06acdc28bc02 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Groups in Critic-Free RLVR arXiv:2606.17250v1 Announce Type: cross Abstract: Reinforcement learning (RL) has become a central paradigm for post-training large language models. Existing critic-free RL methods typically generate https://pulse-3k2.pages.dev/news/20f6230ccf32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProCUA-SFT Technical Report arXiv:2606.17321v1 Announce Type: new Abstract: Training computer-use agents (CUAs) -- models that interact with graphical desktops through screenshots and keyboard/mouse actions -- requires large-sca https://pulse-3k2.pages.dev/news/8d4ccb275073 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decision-Driven Geosteering Under Uncertainty: A Unified Framework for Sequential Decision Optimization arXiv:2606.17331v1 Announce Type: new Abstract: Geosteering requires navigating a well trajectory through an unknown geological configuration, while sequentially updating decisions based on indirect m https://pulse-3k2.pages.dev/news/87743146d9c8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Counterfactual Optimization of Baseball Pitch Sequences and Estimation of Its Impact on Season-Level Statistics arXiv:2606.17345v1 Announce Type: new Abstract: Although pitch sequencing is a central topic in baseball analytics, previous studies have primarily focused on optimizing the final pitch within a singl https://pulse-3k2.pages.dev/news/1a34dc9cded3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MM++: Unsupervised Scale-Invariant Multilayer OOD Detection via Top-K Gated Feature Fusion arXiv:2606.17352v1 Announce Type: new Abstract: We introduce MM++ (Multilayer Mahalanobis++), a fully unsupervised, strictly post-hoc, and scale-invariant framework for Out-of-Distribution (OOD) detec https://pulse-3k2.pages.dev/news/f077ba6b5319 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Performance-Driven Environment Abstraction with Multi-Timescale Learning arXiv:2606.17377v1 Announce Type: new Abstract: We study performance-driven environment abstraction for decision-making in large Markov decision processes. Rather than preserving geometric or topologi https://pulse-3k2.pages.dev/news/f3d2eff182f1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Discrete-Log Clock: How a Transformer Learns Modular Multiplication arXiv:2606.17399v1 Announce Type: new Abstract: When small transformers grok modular multiplication, prior work reports that the learned embedding has a "dense" Fourier spectrum requiring all frequenc https://pulse-3k2.pages.dev/news/0ffdbf8c0b3a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Discrete Autoregressive Transformer for Generative Mechanism Synthesis arXiv:2606.17409v1 Announce Type: new Abstract: Planar path synthesis requires mechanisms whose coupler curves match a prescribed trajectory; the mapping from curve to linkage is inherently one-to-man https://pulse-3k2.pages.dev/news/d81c93865996 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows arXiv:2606.17413v1 Announce Type: new Abstract: Space-based monitoring of atmospheric carbon dioxide (CO2) is essential for constraining the global carbon budget. NASA's Orbiting Carbon Observatory-2 https://pulse-3k2.pages.dev/news/926ab1084254 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations arXiv:2606.17414v1 Announce Type: new Abstract: Autonomous spacecraft rendezvous and proximity operations (RPO) require controllers that guarantee safety under thrust constraints while minimizing fuel https://pulse-3k2.pages.dev/news/6a6b65419336 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Generalization Guarantees for Multi-Input Neural Operator Learning in Sobolev Spaces arXiv:2606.17419v1 Announce Type: new Abstract: We develop approximation and generalization error estimates for multi-input neural operators, with the output error measured in Sobolev norms. In contra https://pulse-3k2.pages.dev/news/3a8ae1971582 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MorphStrata: Layer-Specific Perturbations for Generating Morphence Students in Time-Series Moving Target Defense arXiv:2606.17435v1 Announce Type: new Abstract: Time-series forecasting models remain vulnerable to gradient-based adversarial attacks while existing defense mechanisms typically incur a trade-off in https://pulse-3k2.pages.dev/news/6aaed96ad258 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toward Controllable Catalyst Inverse Design via Large-Scale Autoregressive Pretraining arXiv:2606.17445v1 Announce Type: new Abstract: Inverse design of heterogeneous catalysts remains challenging because catalyst surfaces exhibit substantial structural complexity with coupled surface-a https://pulse-3k2.pages.dev/news/3069c5fa2aa0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Credibility-Weighted Pricing of Autonomous Vehicle Liability Under Operational Design Domain Shift arXiv:2606.17451v1 Announce Type: new Abstract: Automated Driving System deployments create a foundational ratemaking challenge: sparse experience, shifting operational design domains, and non-station https://pulse-3k2.pages.dev/news/9bf158393f27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Operator Boosting Produces Pareto-Efficient PDE Surrogates arXiv:2606.17460v1 Announce Type: new Abstract: Neural operators are widely used as surrogate solution maps for partial differential equations (PDEs), but full-size models can be costly to store, depl https://pulse-3k2.pages.dev/news/a7e7a1b70019 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ResAware: Cross-Environment Website Fingerprinting via Resource-Privileged Distillation arXiv:2606.17462v1 Announce Type: new Abstract: While Website Fingerprinting (WF) attacks achieve high accuracy in controlled laboratory settings, they often degrade substantially in real-world enviro https://pulse-3k2.pages.dev/news/69e106d627ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models arXiv:2606.17464v1 Announce Type: new Abstract: Membership inference attacks (MIAs) are a canonical way to assess a machine learning model's privacy properties. Although several attempts have been mad https://pulse-3k2.pages.dev/news/b6bf573068e2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Perron--Frobenius Operator Matching for Generative Modeling arXiv:2606.17465v1 Announce Type: new Abstract: We introduce Perron--Frobenius Operator Matching (PFOM), a generative framework that matches density evolution via the integral PF operator, subsuming f https://pulse-3k2.pages.dev/news/083fe55afe44 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReRAM-aware Model Finetuning addressing I-V Non-linearity and Retention Errors arXiv:2606.17471v1 Announce Type: new Abstract: Traditional CPU, GPU, and NPU architectures are increasingly limited by the von Neumann bottleneck. While In-Memory Computing (IMC) using ReRAM crossbar https://pulse-3k2.pages.dev/news/7aec3461ba10 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Adapter PPO: A Cross-Attention Enhanced Wavelength Selection Framework for LIBS Quantitative Analysis arXiv:2606.17476v1 Announce Type: new Abstract: Laser-induced breakdown spectroscopy (LIBS) quantitative analysis faces critical challenges in wavelength selection due to high-dimensional spectral dat https://pulse-3k2.pages.dev/news/e387ca6727b1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Online LLM Selection via Constrained Bandits with Time-Varying Demand arXiv:2606.17489v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in edge-cloud inference systems to handle diverse user tasks with heterogeneous accuracy, latency https://pulse-3k2.pages.dev/news/7f8d8a9b8d54 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reconfigurable Computing Challenge: Transformer for Jet Tagging on Versal AI Engines arXiv:2606.17500v1 Announce Type: new Abstract: Transformer-based models achieve strong performance for jet tagging at the CERN LHC, but deploying them in low-latency, resource-constrained trigger sys https://pulse-3k2.pages.dev/news/0f0cd09f1fa8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When the Next Step Is Not One Step: Distribution-Aware Execution Modeling for Concurrent Go Programs arXiv:2606.17508v1 Announce Type: new Abstract: Training a model to predict the next step in a concurrent program is harder than it looks: two runs of the same program from the same trace prefix can p https://pulse-3k2.pages.dev/news/55420bb9436b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning arXiv:2606.17513v1 Announce Type: new Abstract: Neural operators provide fast surrogates for PDEs but their deterministic predictions limit their use in tasks requiring uncertainty quantification (UQ) https://pulse-3k2.pages.dev/news/c0ee8519896e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FoundCause: Causal Discovery with Latent Confounders from Observational Data arXiv:2606.17516v1 Announce Type: new Abstract: Causal discovery from observational data remains challenging due to the need to recover directed structure and latent confounding without interventions. https://pulse-3k2.pages.dev/news/905eb97854e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Refine Hidden States for Reliable LLM Reasoning arXiv:2606.17524v1 Announce Type: new Abstract: Large language models show strong reasoning ability, but their internal reasoning process can remain unstable in complex multi-step settings, where earl https://pulse-3k2.pages.dev/news/990e54c5c2c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MGUP: A Momentum-Gradient Alignment Update Policy for Stochastic Optimization arXiv:2606.17526v1 Announce Type: new Abstract: Efficient optimization is essential for training large language models. Although intra-layer selective updates have been explored, a general mechanism t https://pulse-3k2.pages.dev/news/506d8e0e8338 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Non-negative Matrix Factorisation with Topological Regularisation arXiv:2606.17531v1 Announce Type: new Abstract: We investigate the learning of interpretable bases in non-negative matrix factorisation (NMF) by regularising the topology of the learned basis function https://pulse-3k2.pages.dev/news/f50d0eec405d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Offline Preference-Based Trajectory Evaluation arXiv:2606.17541v1 Announce Type: new Abstract: Offline evaluation of agentic systems often collapses trajectories to terminal success, discarding information about partial progress and inducing wides https://pulse-3k2.pages.dev/news/44b85ea65cdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continuous-time Optimal Stopping through Deep Reinforcement Learning arXiv:2606.17545v1 Announce Type: new Abstract: Simulation based solvers for optimal stopping problems must discretize the stopping decision. Under classical dynamic programming, a coarse exercise gri https://pulse-3k2.pages.dev/news/242a10f9b9ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reversal Q-Learning arXiv:2606.17551v1 Announce Type: new Abstract: Iterative generative modeling techniques, such as flow matching, provide powerful tools to model complex behaviors for effective offline reinforcement l https://pulse-3k2.pages.dev/news/57f43646f2ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SpatioTemporal Causal Network Diagnostics for Geographic Tipping Point Early Warning arXiv:2606.17553v1 Announce Type: new Abstract: Geographic tipping points in ecosystems, climate subsystems, or ice sheets pose severe challenges for localized early warning. Classical spatial indicat https://pulse-3k2.pages.dev/news/ae7ceedb8514 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reducing Learner Redundancy in Boosting via Residual Orthogonalization arXiv:2606.17567v1 Announce Type: new Abstract: While sequential residual fitting is the bedrock of standard boosting frameworks, it inherently breeds learner redundancy by repeatedly revisiting corre https://pulse-3k2.pages.dev/news/49e63f1085d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Dynamics Models Read the Wrong Time Steps: Label-Free Event Credit Re-Anchoring for Robust Global Readouts arXiv:2606.17572v1 Announce Type: new Abstract: Learned dynamics models often answer global physical questions, such as fault severity or impact stiffness, by pooling a per-step feature sequence into https://pulse-3k2.pages.dev/news/8bb3e8392195 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Features Can Hurt GNNs: Concatenation Interference on Homophilous Graph Benchmarks arXiv:2606.17579v1 Announce Type: cross Abstract: Adding LLM-generated node features to graph neural networks (GNNs) is widely reported to improve accuracy on standard benchmarks. We document a contra https://pulse-3k2.pages.dev/news/b9020e50b53b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere arXiv:2606.17603v1 Announce Type: new Abstract: In Self-Supervised Learning (SSL), preventing representation collapse by explicitly enforcing a uniform distribution on the unit hypersphere has proven https://pulse-3k2.pages.dev/news/0143d26db6df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Risk Decomposition Framework for Pre-Hoc Fine-Tuning Prediction arXiv:2606.17649v1 Announce Type: new Abstract: The high cost of fine-tuning LLMs poses a significant economic barrier; pre-hoc performance prediction offers a critical solution to substantially reduc https://pulse-3k2.pages.dev/news/a1945f0d13b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific arXiv:2606.17659v1 Announce Type: new Abstract: This study introduces enhancements to physics-constrained neural networks (PCNNs) that improve the accuracy and stability of hybrid short-term weather f https://pulse-3k2.pages.dev/news/8a402364b7db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins arXiv:2606.17660v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) is compute-intensive and error-prone: model performance depends sensitively on data quality and hyperparameter https://pulse-3k2.pages.dev/news/b1f220bb79f1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Handling Feature Heterogeneity with Learnable Graph Patches arXiv:2606.17667v1 Announce Type: new Abstract: In recent years, the rapid development of foundation models and graph pre-training technologies has spurred increasing interest in constructing a univer https://pulse-3k2.pages.dev/news/25ae57936f97 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ASTEROID: A Spatiotemporal Information Transformer for Forecasting Multi-Step Time Series of Molecular Dynamics arXiv:2606.17668v1 Announce Type: new Abstract: Molecular dynamics (MD) simulation is computationally demanding, particularly for large-scale systems requiring long-term analysis. Accurate forecast of https://pulse-3k2.pages.dev/news/5e9a503a0b19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EnvRL: Learn from Environment Dynamics in Agentic Reinforcement Learning arXiv:2606.17680v1 Announce Type: cross Abstract: Reinforcement learning (RL) has emerged as a powerful paradigm for training Large Language Models (LLMs) as agents. However, conventional RL methods f https://pulse-3k2.pages.dev/news/95e3917a1b6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Delta-Based Target Reformulation for Short-Term Electricity Load Forecasting Using LSTM and Transformer Models arXiv:2606.17692v1 Announce Type: new Abstract: Accurate short-term electricity load forecasting is critical for the reliable and economic operation of modern power systems, under non-stationarity ari https://pulse-3k2.pages.dev/news/cc9134cd744f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects arXiv:2606.17706v1 Announce Type: new Abstract: Curriculum learning couples two design choices, how samples are scored by difficulty and how harder samples are paced into training, making it difficult https://pulse-3k2.pages.dev/news/7239493a62cd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A fairness-aware extension of Stochastic Multicriteria Acceptability Analysis for ranking arXiv:2606.17756v1 Announce Type: new Abstract: Fairness has become a central concern in ranking problems involving individuals or social groups, particularly under the Responsible Artificial Intellig https://pulse-3k2.pages.dev/news/14fb94cd2ebb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Blind Recovery of Latent Domains via Unsupervised Symmetry Discovery arXiv:2606.17782v1 Announce Type: new Abstract: Primary motivation in blind inverse problems is to recover signals of interest from corrupted observations without knowing the obfuscating mechanism. Bl https://pulse-3k2.pages.dev/news/0790092e0886 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continual Self-Improvement with Lightweight Experiential Latent Memories arXiv:2606.17803v1 Announce Type: new Abstract: Large language models achieve strong reasoning performance by scaling inference-time compute, yet remain fundamentally stateless, discarding the rich, s https://pulse-3k2.pages.dev/news/579231233b49 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QueryMarket: Cost-Aware Online Active Learning in Data Markets arXiv:2606.17805v1 Announce Type: new Abstract: Data acquisition is a major bottleneck for learning in real-time streams: analysts must decide on the fly which labels to purchase while respecting a ro https://pulse-3k2.pages.dev/news/f8dc34126b2d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png No-Free-Fairness: Fundamental Limits and Trade-offs in Learning Systems arXiv:2606.17810v1 Announce Type: new Abstract: In this paper, we establish a set of theoretical impossibility results, termed the No-Free-Fairness theorems, that identify three fundamental sources of https://pulse-3k2.pages.dev/news/383714c2d197 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Conservation Laws for Modern Neural Architectures arXiv:2606.17816v1 Announce Type: new Abstract: Understanding gradient descent dynamics is key to explaining the success of over-parameterized models, where implicit bias manifests through conservatio https://pulse-3k2.pages.dev/news/7e3e2731a0bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Functional Equivalence in Attention: A Comprehensive Study with Applications to Linear Mode Connectivity arXiv:2606.17830v1 Announce Type: new Abstract: Neural network parameter spaces are inherently non-injective, as distinct parameter configurations can realize identical functions through functional eq https://pulse-3k2.pages.dev/news/c010194201a9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Drift to Coherence: Stabilizing Beliefs in LLMs arXiv:2606.17832v1 Announce Type: new Abstract: Large language models (LLMs) are often hypothesized to perform implicit Bayesian inference, yet a key coherence condition, the martingale property of pr https://pulse-3k2.pages.dev/news/603b0d18b0e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Meta-classification of one-class classification models using ranking correlation and nearest neighbor arXiv:2606.17858v1 Announce Type: new Abstract: Machine Learning (ML) techniques have been applied to various problems. However, applying ML to ML models is an unexplored direction. For this purpose, https://pulse-3k2.pages.dev/news/8c28f062da9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal Anchor arXiv:2606.17872v1 Announce Type: new Abstract: Large language models (LLMs) outperform earlier architectures on generative inference and long-context tasks, but their large size introduces significan https://pulse-3k2.pages.dev/news/d3850789c721 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Monotonic Kolmogorov-Arnold Networks: A Theoretical and Empirical Study of Monotonicity as an Inductive Bias arXiv:2606.17886v1 Announce Type: new Abstract: Monotonicity has been a long-running architectural inductive bias for neural networks, motivated by tabular, scientific, and economic settings where out https://pulse-3k2.pages.dev/news/ce5520cda404 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dimensionality Controls When Modularity Helps in Continual Learning arXiv:2606.17889v1 Announce Type: new Abstract: Compositional learning systems must balance plasticity, the ability to acquire new knowledge, with stability, the preservation of previously learned com https://pulse-3k2.pages.dev/news/318beb59f071 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KANLib -- An Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation arXiv:2606.17927v1 Announce Type: new Abstract: Kolmogorov-Arnold Networks (KANs) have recently emerged as a promising alternative to traditional multilayer perceptrons by replacing linear weights wit https://pulse-3k2.pages.dev/news/ad59c283df38 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model arXiv:2606.17931v1 Announce Type: new Abstract: In recent years, electronic (E) commerce services have rapidly increased in the daily lives of people, which helpsthem to purchase products online. Howe https://pulse-3k2.pages.dev/news/ec7ec3f1d75f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SoftMoE: Soft Differentiable Routing for Mixture-of-Experts in LLMs arXiv:2606.17952v1 Announce Type: new Abstract: Sparse Mixture-of-Experts (MoE) architectures enable scaling LLM parameters under a fixed inference budget by activating only a small subset of experts https://pulse-3k2.pages.dev/news/4e9bf8ad37a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multiple cyclicity and Wavelet Decomposition with Channel Correlation for Long-term Time Series Forecasting arXiv:2606.17996v1 Announce Type: new Abstract: Cyclicity and trend are important components of time series data and many studies based on cyclicity and trend have achieved good results in long-term t https://pulse-3k2.pages.dev/news/921ed9eef71c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Half a Link can Be Enough to Predict a Whole Link: Understanding Generalization in Knowledge Graph Foundation Models arXiv:2606.18001v1 Announce Type: new Abstract: Knowledge graph (KG) foundation models (KGFMs) are zero-shot generalizers: trained once, they can predict links on unseen graphs without retraining. How https://pulse-3k2.pages.dev/news/a221bd01990e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png C2FL: Clustered Continual Federated Learning under Spatial and Temporal Drift arXiv:2606.18003v1 Announce Type: new Abstract: Collective Adaptive Systems (CAS) increasingly rely on machine learning to let each node learn from locally sensed data, aligning its behavior with the https://pulse-3k2.pages.dev/news/f601678be695 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recursive Scaling in Masked Diffusion Models arXiv:2606.18022v1 Announce Type: new Abstract: Masked diffusion models (MDMs) have recently emerged as a promising paradigm for sequence generation. Scaling MDMs is conventionally achieved by increas https://pulse-3k2.pages.dev/news/f7e8073c7252 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling arXiv:2606.18023v1 Announce Type: new Abstract: Looped Transformers scale latent computation by repeatedly applying shared blocks, but sequential looping increases latency and KV-cache memory with the https://pulse-3k2.pages.dev/news/a2c9d4b01221 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation arXiv:2606.18024v1 Announce Type: new Abstract: Catastrophic forgetting in continual adaptation is usually studied through parameter drift, replay, or distillation, but these views do not identify whi https://pulse-3k2.pages.dev/news/51e46345e07a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ConTex: Reformulating Counterfactual Generation For Time Series Forecasting arXiv:2606.18049v1 Announce Type: new Abstract: Decision-making with deep learning-based time series forecasting requires not only accurate predictions but also actionable insights. However, current a https://pulse-3k2.pages.dev/news/d55c1b2b0948 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NoiseTilt: Noise-Tilted Reverse Kernels for Diffusion Reward Alignment arXiv:2606.18066v1 Announce Type: new Abstract: We introduce the Noise-Tilted Reverse Kernel (NTRK), a reward-guided diffusion sampler that injects reward gradients through the noise term, leaving the https://pulse-3k2.pages.dev/news/6c81c82d4eb8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Volterra Generative Models arXiv:2606.18071v1 Announce Type: new Abstract: Score-based diffusion models typically use Brownian perturbations, which provide tractable reverse-time dynamics but impose memoryless noising. We intro https://pulse-3k2.pages.dev/news/423bdd2d076e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Edge Flow: A Tractable and Predictive Continuous-Time Model for Gradient Descent at the Edge of Stability arXiv:2606.18080v1 Announce Type: new Abstract: Gradient descent in deep learning may operate at the edge of stability (EoS), a regime in which the largest eigenvalue of the loss Hessian hovers near t https://pulse-3k2.pages.dev/news/3e6f626d9477 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Reasoning Traces to Reusable Modules: Understanding Compositional Generalization in Language Model Reasoning arXiv:2606.18089v1 Announce Type: new Abstract: Post-training pipelines that combine supervised fine-tuning (SFT) with reinforcement learning (RL) have emerged as the key recipe for transforming large https://pulse-3k2.pages.dev/news/7d8f32f71d3b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png S4oP: Operator-level Pruning of Structured State Space Models for Resource-Constrained Devices arXiv:2606.18096v1 Announce Type: new Abstract: Structured State Space Models (SSMs), including the S4 and S4D architectures, have recently emerged as powerful alternatives to attention-based models f https://pulse-3k2.pages.dev/news/d9da49af299d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deep Reinforcement Learning for Minimum Zero-Forcing Sets arXiv:2606.18106v1 Announce Type: new Abstract: This paper explores the problem of finding the minimum zero-forcing set on undirected graphs and proposes an adapted machine-learning framework to solve https://pulse-3k2.pages.dev/news/4b3f6f638d75 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning arXiv:2606.18111v1 Announce Type: new Abstract: Fairness is an important aspect of decision-making in multi-objective reinforcement learning (MORL), where policies must ensure both optimality and equi https://pulse-3k2.pages.dev/news/aa86c7b188da 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models arXiv:2606.18114v1 Announce Type: new Abstract: State Space Models (SSMs) such as Mamba-2 offer linear-time inference but their memory footprint limits edge deployment. Prior ternary SSM work (Slender https://pulse-3k2.pages.dev/news/af2dc4bb8b80 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Embedded Machine Learning for Microcontroller-Class Edge Devices: Data, Feature, Evaluation, and Deployment Pipelines arXiv:2606.18122v1 Announce Type: new Abstract: Embedded machine learning moves inference from cloud services to resource-constrained devices that must acquire data, preprocess signals, run a model, a https://pulse-3k2.pages.dev/news/40d88817415f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Kolmogorov Regression for Robust Diffusion Policies arXiv:2606.18186v1 Announce Type: new Abstract: Finite-dimensional (FD) diffusion policies exhibit temporal drift owing to discretization artifacts that degrade long-horizon performance (when deployed https://pulse-3k2.pages.dev/news/7d11298e8194 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Looped World Models arXiv:2606.18208v1 Announce Type: cross Abstract: Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deeper models are expensive to deploy https://pulse-3k2.pages.dev/news/5bcb67ee3698 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? arXiv:2606.18209v1 Announce Type: new Abstract: Dataset distillation (DD) has emerged as a prominent approach in data centric machine learning, aiming to synthesize compact training sets for efficient https://pulse-3k2.pages.dev/news/a58673e4eed3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sign-Rank, Index, and List Replicability: Connections and Separations arXiv:2606.18236v1 Announce Type: new Abstract: In learning theory, the sign rank of a binary concept class captures the smallest dimension in which it can be represented by points and halfspaces. Des https://pulse-3k2.pages.dev/news/be0b0f52b7c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RadSEM: A Finding-by-Finding Metric for Clinical Consistency in Radiology Reports arXiv:2606.17062v1 Announce Type: cross Abstract: Radiology report evaluation must distinguish clinical compatibility from surface similarity, because negation, laterality, or normal-abnormal polarity https://pulse-3k2.pages.dev/news/931f858b9f6a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PIVOT: Bridging Black-Scholes Implied-Volatility and Price Objectives via Differentiable J\"ackel Operator arXiv:2606.17065v1 Announce Type: cross Abstract: Modern option-learning systems operate in two coordinates: price space, where markets quote and no-arbitrage constraints are most naturally enforced, https://pulse-3k2.pages.dev/news/2af1aa4c0825 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png KFTD: Koopman-Fourier Time-Differentiable Network for Continuous Ocean Spatiotemporal Forecasting arXiv:2606.17070v1 Announce Type: cross Abstract: Accurate oceanic forecasting is critical for climate monitoring and disaster early warning. However, ocean spatiotemporal forecasting encounters the d https://pulse-3k2.pages.dev/news/24e070a91212 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework arXiv:2606.17077v1 Announce Type: cross Abstract: Proton dissociation constants (pKa) are critical for functional molecule discovery and molecular modeling. Building on iBonD, the largest experimental https://pulse-3k2.pages.dev/news/1029948f5fc5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection arXiv:2606.17109v1 Announce Type: cross Abstract: Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have been widely adopted in n https://pulse-3k2.pages.dev/news/944b63dee664 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision arXiv:2606.17162v1 Announce Type: new Abstract: Personalized presentation generation requires more than conditioning on a current prompt or template: agents must preserve stable user preferences acros https://pulse-3k2.pages.dev/news/ce5a883c0ab7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PromptMN: Pseudo Prompting Language arXiv:2606.17164v1 Announce Type: new Abstract: Prompting has become the primary interface between humans and generative AI, yet many natural language prompts remain fragile: roles, goals, constraints https://pulse-3k2.pages.dev/news/6f39d6d9cc6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RepSelect: Robust LLM Unlearning via Representation Selectivity arXiv:2606.17168v1 Announce Type: new Abstract: Making large language models (LLMs) deeply forget specific knowledge and values without sacrificing general capabilities remains a central challenge in https://pulse-3k2.pages.dev/news/5b0c1048a4d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Parasocial Scripts to Dyadic Persistence in Autonomous AI-Agent Communities arXiv:2606.17174v1 Announce Type: new Abstract: While parasocial interactions (PSIs) and parasocial relationships (PSRs) have been studied in conventional media settings, we investigate whether PSI- ( https://pulse-3k2.pages.dev/news/561042c4af9b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Self-Generated Error Training for Token Editing in Diffusion Language Models arXiv:2606.17175v1 Announce Type: new Abstract: Token-to-token (T2T) editing lets LLaDA2.1 revise committed tokens during block-diffusion decoding. The released recipe trains this editor on random voc https://pulse-3k2.pages.dev/news/417d6d8cf8d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors arXiv:2606.17213v1 Announce Type: new Abstract: Recent advances in multimodal learning, including large language models (LLMs) and vision-language models (VLMs), have demonstrated strong adaptability https://pulse-3k2.pages.dev/news/8063bc1f2462 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Speaking in Self-Assessing Tongues: On the Verbalized Confidence of LLMs in Machine Translation arXiv:2606.17234v1 Announce Type: new Abstract: The rapid rise in popularity of large language models (LLMs) for translation calls for a thorough study of the reliability of their confidence in their https://pulse-3k2.pages.dev/news/86f5a7da00e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation task arXiv:2606.17255v1 Announce Type: new Abstract: This work describes the participation of the MLLP-VRAIN research group in the shared task of the IWSLT 2026 Simultaneous Speech Translation track. Our s https://pulse-3k2.pages.dev/news/d8c8ea5e73b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are you speaking my languages? On spoken language adherence in multimodal LLMs arXiv:2606.17281v1 Announce Type: new Abstract: While Large Language Model (LLM) based Automatic Speech Recognition (ASR) enables seamless multilingual use, models often misidentify the output languag https://pulse-3k2.pages.dev/news/c8008d7a8cf9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Examining the Limits of Word2Vec with Toki Pona arXiv:2606.17299v1 Announce Type: new Abstract: Word2Vec's effectiveness at generating semantic embeddings has been widely validated, yet it has been tested almost exclusively on languages with large https://pulse-3k2.pages.dev/news/4383d7b3d73c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Do Large Language Models Always Tell The Same Stories? arXiv:2606.17350v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have enabled the generation of high-quality prose, yet the question of whether these models are capable https://pulse-3k2.pages.dev/news/da34ba6807be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Translating the Untranslatable: An Operationalizable Ontology for Untranslatability arXiv:2606.17354v1 Announce Type: new Abstract: Untranslatability, cases where meaning cannot be directly preserved across languages, is well-studied in linguistics but underexplored in NLP. As machin https://pulse-3k2.pages.dev/news/68de41f463cd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Implicit vs. Explicit Prompting Strategies for LVLMs in Referential Communication arXiv:2606.17372v1 Announce Type: new Abstract: Two recent studies (Jones et al. (2026); Zeng et al. (2026)) reach apparently contradictory conclusions about whether LVLMs can coordinate on efficient https://pulse-3k2.pages.dev/news/cdd1c7ebe554 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NarrativeWorldBench: A Frontier-Saturated Benchmark and a Latent World Model for Long-Horizon Co-Creative Audio Drama arXiv:2606.17391v1 Announce Type: new Abstract: Long-form serialized audio drama, with arcs that run for 200 to 800 episodes, is a major creative medium and a setting where frontier large language mod https://pulse-3k2.pages.dev/news/3bd4268b8443 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation arXiv:2606.17449v1 Announce Type: new Abstract: While Multimodal Retrieval-Augmented Generation (M-RAG) enhances Large Vision-Language Models, it remains highly susceptible to cross-modal hallucinatio https://pulse-3k2.pages.dev/news/5dd5ce6be5c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AIPatient Arena: EHR-grounded evaluation of large language models in end-to-end clinical consultation workflows arXiv:2606.17474v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly considered for use in clinical consultation tasks, yet most medical evaluations remain static, single-turn https://pulse-3k2.pages.dev/news/2a8d137b0aa8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decoding Hidden Deception in Reasoning LLMs: Activation Explainers for Deception Auditing arXiv:2606.17478v1 Announce Type: new Abstract: As LLMs acquire stronger reasoning capabilities, deceptive behavior becomes an increasingly serious safety concern. Existing deception monitors either s https://pulse-3k2.pages.dev/news/47ec38467af2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating Second-Order Bias of LLMs Through Epistemic Entitlement arXiv:2606.17506v1 Announce Type: new Abstract: Evaluations of social bias in LLMs largely focus on whether models generate or imply biased content. However, as LLMs are increasingly used as judges of https://pulse-3k2.pages.dev/news/541430cf9a51 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scaling Enterprise Agent Routing: Degradation, Diagnosis, and Recovery arXiv:2606.17519v1 Announce Type: new Abstract: Production LLM assistants route user requests to growing libraries of specialized tools, but how does routing accuracy degrade as the catalog scales? We https://pulse-3k2.pages.dev/news/a5b005508b92 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An expressivity analysis of hierarchical modelling in deep transformers via bounded-depth grammars arXiv:2606.17522v1 Announce Type: new Abstract: Deep neural networks are widely believed to derive their expressive power from their ability to form \textbf{hierarchical representations}, capturing pr https://pulse-3k2.pages.dev/news/94402fbf9d14 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating Large Language Models Abilities for Addressee, Turn-change, and Next Speaker Prediction in Meetings arXiv:2606.17542v1 Announce Type: new Abstract: We investigate turn-taking in multimodal multi-party conversations using large language models (LLMs). We construct an evaluation framework for three ta https://pulse-3k2.pages.dev/news/3b4ce0b680c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Benchmark Illusion: Pruned LLMs Can Pass Multiple Choice but Fail to Answer arXiv:2606.17609v1 Announce Type: new Abstract: Compressing large language models reduces memory use and inference cost, but it can also create failures that standard benchmarks miss. A pruned model m https://pulse-3k2.pages.dev/news/59b30b56daad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation arXiv:2606.17628v1 Announce Type: new Abstract: Memory has become a standard substrate for self-evolving agents, yet retaining experience is not the same as learning how to evolve through it. Existing https://pulse-3k2.pages.dev/news/53965e79f210 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prompt Perturbation for Reliable LLM Evaluation over Comparison Graphs arXiv:2606.17634v1 Announce Type: new Abstract: Evaluating large language models (LLMs) is important for understanding their capabilities, comparing competing systems, and supporting the deployment of https://pulse-3k2.pages.dev/news/0998455b8c37 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Trainee to Trainer: LLM-Designed Training Environment for RL with Multi-Agent Reasoning arXiv:2606.17682v1 Announce Type: new Abstract: Reinforcement learning pipelines for Large Language Model (LLM) training often rely on manually redesigned environments between stages, requiring practi https://pulse-3k2.pages.dev/news/d9aa0b736ee7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation arXiv:2606.17683v1 Announce Type: new Abstract: While large language models (LLMs) have greatly advanced the functional correctness of automated code translation systems, the runtime efficiency of tra https://pulse-3k2.pages.dev/news/4c14c3cc310c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SuCo: Sufficiency-guided Continuous Adaptive Reasoning arXiv:2606.17687v1 Announce Type: new Abstract: Despite remarkable performance on complex tasks, Large Reasoning Models (LRMs) often generate excessively long Chain-of-Thoughts (CoT), inflating comput https://pulse-3k2.pages.dev/news/75122e277728 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMs Infer Cultural Context but Fail to Apply It When Responding arXiv:2606.17688v1 Announce Type: new Abstract: Recent work has shown that LLMs overrepresent dominant cultures, particularly Western ones, while marginalizing others. We investigate whether this affe https://pulse-3k2.pages.dev/news/bdf9964e8fa9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Slop Paradox: How Synthetic Standardization Erodes Clinical Uncertainty and Cross-Modal Alignment in AI-Rewritten Radiology Reports arXiv:2606.17791v1 Announce Type: new Abstract: AI-assisted clinical documentation tools increasingly summarize, standardize, and reformat radiology reports using large language models (LLMs). We pres https://pulse-3k2.pages.dev/news/ac59fe0f92b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation arXiv:2606.17820v1 Announce Type: new Abstract: This study explores how bilingual fine-tuning affects automatic speech recognition (ASR) in low-resource languages. We evaluate this method across nine https://pulse-3k2.pages.dev/news/32822e6aad25 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Multiple Scripts Matter: Evaluating ASR in Clinical Settings arXiv:2606.17826v1 Announce Type: new Abstract: Automatic speech recognition (ASR) in non-English clinical settings is challenged by multiscript variability, where the same term may appear in multiple https://pulse-3k2.pages.dev/news/68b06c6c8dec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Perceptual compensation for tonal context in self-supervised speech models arXiv:2606.17835v1 Announce Type: new Abstract: This study examines the extent to which the wav2vec2.0 architecture exhibits evidence of compensation for phonological context. We conducted a pseudo-re https://pulse-3k2.pages.dev/news/621aa6ad1d16 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Environment-Grounded Automated Prompt Optimization for LLM Game Agents arXiv:2606.17838v1 Announce Type: new Abstract: LLM agents in interactive environments are highly sensitive to their prompts, yet prompt engineering remains a manual, task-specific process. We introdu https://pulse-3k2.pages.dev/news/ebcc6d0124c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine? arXiv:2606.17861v1 Announce Type: new Abstract: Game generation is an emerging application of coding agents, requiring models to transform natural-language specifications into playable interactive sys https://pulse-3k2.pages.dev/news/390f3a6d887b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dynamic Rollout Editing for Reducing Overthinking in RL-Trained Reasoning Models arXiv:2606.17890v1 Announce Type: new Abstract: Long-form chain-of-thought reasoning can improve LLM performance on complex tasks, but models often continue generating unnecessary reasoning after a co https://pulse-3k2.pages.dev/news/95ae76212e19 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions arXiv:2606.17905v1 Announce Type: new Abstract: Large language models perform increasingly well on standardized logical reasoning benchmarks, but whether this ability remains robust beyond English is https://pulse-3k2.pages.dev/news/473e98c90a5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning task-specific subspaces via interventional post-training of speech foundation models arXiv:2606.17967v1 Announce Type: new Abstract: Speech foundation models, pre-trained on large corpora of unlabelled speech data, produce general-purpose representations which are useful across tasks. https://pulse-3k2.pages.dev/news/1b4dadd576af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fine-tuning LLMs for Passive Depression Severity Estimation from AI Mental Health Dialogue arXiv:2606.17973v1 Announce Type: new Abstract: Depression is the leading cause of disability worldwide, and early detection of symptom change is essential for timely intervention. Validated instrumen https://pulse-3k2.pages.dev/news/84c5a742f3a8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png VoidPadding: Let [VOID] Handle Padding in Masked Diffusion Language Models so that [EOS] Can Focus on Semantic Termination arXiv:2606.17999v1 Announce Type: new Abstract: MDLMs generate text by denoising a preallocated masked response canvas, making response-length modeling central to instruction tuning. Existing MDLMs of https://pulse-3k2.pages.dev/news/6656610f8ab6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When English Isn't the Best Teacher: Source Language Effects in Cross-Lingual In-Context Learning arXiv:2606.18033v1 Announce Type: new Abstract: Cross-lingual transfer in multilingual NLP has been widely explored in supervised fine-tuning contexts, where factors like data availability and linguis https://pulse-3k2.pages.dev/news/738653a88ff9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose arXiv:2606.18051v1 Announce Type: new Abstract: LLM agents increasingly rely on external skills -- reusable tool specifications -- but real-world tasks often require composing multiple skills, not jus https://pulse-3k2.pages.dev/news/b0cca5579b14 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ConSA: Controllable Sparsity in Hybrid Attention via Learnable Allocation arXiv:2606.18056v1 Announce Type: new Abstract: Hybrid architectures combining full attention (FA) and sliding-window attention (SWA) are a promising paradigm for efficient LLM inference. However, exi https://pulse-3k2.pages.dev/news/3ca095636107 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond arXiv:2606.18062v1 Announce Type: new Abstract: Large language models (LLMs) are widely used to fulfill users' information needs; users ask LLMs about the weather, pose educational questions, and cons https://pulse-3k2.pages.dev/news/dd90faaea787 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HistoRAG: Embedding Historical Methodology in Retrieval-Augmented Generation Through Critical Technical Practice arXiv:2606.18103v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) is the prevailing architecture for grounding language model outputs in external evidence, yet its dominant evaluati https://pulse-3k2.pages.dev/news/58ff0ebbc108 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Unintended Effects of Geographic Conditioning in Large Language Models arXiv:2606.18124v1 Announce Type: new Abstract: Modern conversational AI systems frequently rely on user metadata to localize responses, yet the unintended regional biases introduced by this hidden co https://pulse-3k2.pages.dev/news/4b565ed87f88 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from the Self-future: On-policy Self-distillation for dLLMs arXiv:2606.18195v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) has proven effective for post-training large language models (LLMs), yet its application to diffusion LLMs (dLLMs) re https://pulse-3k2.pages.dev/news/26e51e9cc07e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills arXiv:2606.18203v1 Announce Type: new Abstract: The LLM-empowered personal health agents with user health (sensor) metrics have offered a promising pathway to alleviate global disparities in healthcar https://pulse-3k2.pages.dev/news/ed42f77de05a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Analyzing and Encoding the Al-Mawrid Arabic-English Dictionary with the ISO Language Markup Framework and TEI Lex-0 arXiv:2606.18205v1 Announce Type: new Abstract: This paper presents a robust methodology for the systematic digitization and encoding of the Al-Mawrid Arabic-English dictionary, transforming it from a https://pulse-3k2.pages.dev/news/1710c16719e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients arXiv:2606.18216v1 Announce Type: new Abstract: Knowledge distillation transfers a teacher's competence to a small student but is brittle in the small-student regime: forcing the student to imitate lo https://pulse-3k2.pages.dev/news/e6cc6b29b2fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Darshana Graph: A Parallel Commentary Corpus for Comparative Indian Philosophy, with Stylometric and Exploratory Graph Analyses arXiv:2606.18222v1 Announce Type: new Abstract: We introduce Darshana Graph, a corpus of over 125,000 text records spanning classical Hindu, Buddhist, and Jain philosophical traditions, drawn from pub https://pulse-3k2.pages.dev/news/1cc80ad415ef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues arXiv:2606.18237v1 Announce Type: new Abstract: Reproducing research results from papers and released code is central to scientific progress. Existing works have introduced benchmarks to evaluate whet https://pulse-3k2.pages.dev/news/ff275ee1808e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Variable-Width Transformers arXiv:2606.18246v1 Announce Type: new Abstract: Scaling model size, specifically depth and width, has driven significant progress in transformer-based language models. However, most architectures main https://pulse-3k2.pages.dev/news/abe6dcee33bf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Securing Multi-Agent GIS Systems: Risk Evaluation and Prompt Hardening Optimization arXiv:2606.17092v1 Announce Type: cross Abstract: Agentic systems are increasingly integrated with geographic information systems (GIS), where multi-agent coordination enables complex conversational a https://pulse-3k2.pages.dev/news/1b20cd52dbc3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Not Truly Multilingual: Script Consistency as a Missing Dimension in VLM Evaluation arXiv:2606.17188v1 Announce Type: cross Abstract: Current multilingual evaluations for Vision-Language Models (VLMs) assume a one-to-one mapping between language and orthography, overlooking billions https://pulse-3k2.pages.dev/news/8fab3e278eec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Nothing from Something: Can a Language Model Discover 0? arXiv:2606.17289v1 Announce Type: cross Abstract: AI systems based on artificial neural networks are being developed with aspirations of pushing the boundary of human mathematical knowledge. A key que https://pulse-3k2.pages.dev/news/ab6ceeb20151 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SpeechDx: A Multi-Task Benchmark for Clinical Speech AI arXiv:2606.17339v1 Announce Type: cross Abstract: Speech offers a uniquely informative window into health by simultaneously engaging neurological, motor, respiratory, and vocal systems. Current clinic https://pulse-3k2.pages.dev/news/8d1f6c7c77ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language Models arXiv:2606.17389v1 Announce Type: cross Abstract: Multimodal Foundation Models are increasingly used as reasoning agents, making reliability, knowing when a model may hallucinate, critical. A common i https://pulse-3k2.pages.dev/news/ba6b6f098270 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems arXiv:2606.17443v1 Announce Type: cross Abstract: Large language models (LLMs) are becoming a major way for consumers to find products, but we do not yet understand how brands compete in this new chan https://pulse-3k2.pages.dev/news/26c2d45ee584 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents arXiv:2606.17467v1 Announce Type: cross Abstract: Prompt injection defenses evaluated on synthetic benchmarks do not generalize to real enterprise documents, which are longer, denser, and interleave l https://pulse-3k2.pages.dev/news/7ef68d9aafc5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Non-Autoregressive Minimum Bayes' Risk Decoding for Fast Speech Recognition arXiv:2606.17537v1 Announce Type: cross Abstract: Non-autoregressive (NAR) decoding generates output tokens in parallel, making speech recognition faster than autoregressive decoding, which generates https://pulse-3k2.pages.dev/news/f78d08187abc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns arXiv:2606.17645v1 Announce Type: cross Abstract: Large language model (LLM) web agents are usually deployed as tool callers: each turn, the model reads a fresh page observation and emits one structur https://pulse-3k2.pages.dev/news/8f23b4726561 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MambaCount: Efficient Text-guided Open-vocabulary Object Counting with Spatial Sparse State Space Duality Block arXiv:2606.17650v1 Announce Type: cross Abstract: Text-guided Open-vocabulary Object Counting (TOOC) aims to estimate the number of objects described by text prompts, which is particularly challenging https://pulse-3k2.pages.dev/news/3cef6e4e6d2e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EComAgentBench: Benchmarking Shopping Agents on Long-Horizon Tasks with Distributed Hidden Intent arXiv:2606.17698v1 Announce Type: cross Abstract: As LLM-based shopping agents enter production, existing benchmarks fail to capture how a shopper's requirements arrive: stated implicitly in the query https://pulse-3k2.pages.dev/news/f25abf27861b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Vision-language models for chest radiography do not always need the image arXiv:2606.17710v1 Announce Type: cross Abstract: Medical vision-language models report strong chest radiograph accuracy, and this is increasingly read as evidence that they use the image. That infere https://pulse-3k2.pages.dev/news/8a4f1bb26830 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars arXiv:2606.17786v1 Announce Type: cross Abstract: Training psychotherapists in evidence-based interventions such as Acceptance and Commitment Therapy (ACT) requires repeated practice with meaningful f https://pulse-3k2.pages.dev/news/0019f733096c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Position: Coding Benchmarks Are Misaligned with Agentic Software Engineering arXiv:2606.17799v1 Announce Type: cross Abstract: Coding agents have become a major mode of software engineering, but the benchmarks we use to compare them were designed in a pre-agent era: they colla https://pulse-3k2.pages.dev/news/653379a70cfb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Native Success: Auditing Deployment-Interface Exposure of CLIP Backdoors arXiv:2606.17815v1 Announce Type: cross Abstract: Contrastive Language-Image Pre-training models are widely reused across downstream interfaces, including feature extraction, retrieval, reranking, and https://pulse-3k2.pages.dev/news/32c8e6ff1c4e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Framework for Evaluating Agentic Skills at Scale arXiv:2606.17819v1 Announce Type: cross Abstract: Agent skills -- structured, reusable knowledge artifacts that augment LLM agent capabilities -- have been rapidly adopted in industry, yet their cross https://pulse-3k2.pages.dev/news/90e5fea90d32 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Non-negative Elastic Net Decoding for Information Retrieval arXiv:2606.17910v1 Announce Type: cross Abstract: Dense retrieval has become the dominant paradigm in information retrieval, in which each document is scored against a query by the inner product of th https://pulse-3k2.pages.dev/news/b12e27c144e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews arXiv:2606.18019v1 Announce Type: cross Abstract: Dementia and depression are the most prevalent neuropsychiatric disorders in geriatric populations, and their overlapping symptoms pose major challeng https://pulse-3k2.pages.dev/news/968ad88dc98b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LegalHalluLens: Typed Hallucination Auditing and Calibrated Multi-Agent Debate for Trustworthy Legal AI arXiv:2606.18021v1 Announce Type: cross Abstract: AI systems deployed in legal workflows hallucinate at rates that aggregate metrics report at ~52%, but this average conceals where errors concentrate https://pulse-3k2.pages.dev/news/161bf9d47aea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProvenanceGuard: Source-Aware Factuality Verification for MCP-Based LLM Agents arXiv:2606.18037v1 Announce Type: cross Abstract: Tool-using LLM agents increasingly use the Model Context Protocol (MCP) to answer from heterogeneous evidence sources, including search, APIs, databas https://pulse-3k2.pages.dev/news/f6f108c440a5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support arXiv:2606.18057v1 Announce Type: cross Abstract: Caregivers often turn to online communities for informational and emotional support. In these spaces, peer supporters frequently draw on personal narr https://pulse-3k2.pages.dev/news/6fce4d8c9175 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience arXiv:2606.18060v1 Announce Type: cross Abstract: As Large Language Model based agents enter autonomous scientific research, their ability to resist pseudoscience becomes increasingly important. Other https://pulse-3k2.pages.dev/news/e1543cbe966d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structural Role Injection in Handlebars-Templated LLM Prompts: Triple-Brace Interpolation, Delimiter Family, and the Limits of HTML Auto-Escaping arXiv:2606.18120v1 Announce Type: cross Abstract: Large language model applications build prompts from templates, and Handlebars is a widely used templating engine and the default prompt-template form https://pulse-3k2.pages.dev/news/1c6669f89c1e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Your AI Travel Agent Would Book You a Bullfight: An Agentic Benchmark for Implicit Animal Welfare in Frontier AI Models arXiv:2606.18142v1 Announce Type: cross Abstract: AI agents are moving from advisors to actors, booking travel, planning menus, and running procurement on behalf of users. Existing benchmarks for AI a https://pulse-3k2.pages.dev/news/0fba44714493 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act arXiv:2606.18158v1 Announce Type: cross Abstract: Large language models now produce legal text of at least median quality, yet no existing benchmark can evaluate whether they perform doctrinal legal r https://pulse-3k2.pages.dev/news/3fde7179b196 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Red-Team Study of Anthropic Fable 5 & Opus 4.8 Models arXiv:2606.18193v1 Announce Type: cross Abstract: We evaluate the adversarial robustness of two frontier large language models (LLMs) developed by Anthropic, Fable 5 and Opus 4.8, against four familie https://pulse-3k2.pages.dev/news/882d266e2d61 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TACOMORE: Exploring a replicable prompting protocol for LLM-assisted corpus analysis arXiv:2412.10139v2 Announce Type: replace Abstract: As corpus linguistics continues to scale, researchers are facing a growing methodological bottleneck: while computational tools can easily count bil https://pulse-3k2.pages.dev/news/b0dc5745505b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding arXiv:2502.08363v3 Announce Type: replace Abstract: We present Top-Theta (Top-$\theta$) Attention, a training-free method for sparsifying transformer attention during inference. Our key insight is tha https://pulse-3k2.pages.dev/news/484cd0ba2646 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedicalAgentsBench for Complex Medical Reasoning: Comparing Internalized Reasoning Models versus Externalized Agent-based Frameworks arXiv:2503.07459v3 Announce Type: replace Abstract: Complex medical reasoning requires integrating heterogeneous clinical evidence across multiple inference steps. Large language models (LLMs) now app https://pulse-3k2.pages.dev/news/793a1f19f1b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models arXiv:2504.03991v2 Announce Type: replace Abstract: Understanding how humans collaborate and communicate in teams is essential for improving human-agent teaming and AI-assisted decision-making. Howeve https://pulse-3k2.pages.dev/news/0fb060e88cbd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EmoFSM: A Finite State Machine for Emotional Support Conversation arXiv:2504.11837v3 Announce Type: replace Abstract: Emotional support conversation (ESC) aims to alleviate people's emotional distress through effective conversations. Although large language models ( https://pulse-3k2.pages.dev/news/02ee88891046 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ALAS: An Automatic Latent Alignment Score for Audio Language Models arXiv:2505.19937v3 Announce Type: replace Abstract: Large Language Models (LLMs) are extended into Speech-LLMs, and the quality of the audio--text alignment they learn affects most downstream Spoken L https://pulse-3k2.pages.dev/news/aba3a94fc3c4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Activation Steering for Efficient LLM Reasoning via Closed-Loop PID Control arXiv:2506.18831v3 Announce Type: replace Abstract: Reasoning LLMs trained with long chain-of-thought often overthink: they spend tokens on redundant reflection and transitions that inflate cost witho https://pulse-3k2.pages.dev/news/68c3e6efbc44 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RooseBERT: A New Deal For Political Language Modelling arXiv:2508.03250v4 Announce Type: replace Abstract: The increasing amount of political debates and politics-related discussions calls for the definition of novel computational methods to automatically https://pulse-3k2.pages.dev/news/6240f0e706c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Regression Language Models for Code arXiv:2509.26476v3 Announce Type: replace Abstract: We study code-to-metric regression: predicting numeric outcomes of code executions, a challenging task due to the open-ended nature of programming l https://pulse-3k2.pages.dev/news/b78b3428a23d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EngTrace: A Symbolic Benchmark for Verifiable Process Supervision of Engineering Reasoning arXiv:2511.01650v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly entering specialized, safety-critical engineering workflows governed by strict quantitative standards https://pulse-3k2.pages.dev/news/81af2ea8fcdd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Atlas: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning arXiv:2601.03872v2 Announce Type: replace Abstract: The integration of large language models (LLMs) with external tools has significantly expanded the capabilities of AI agents. However, as the divers https://pulse-3k2.pages.dev/news/aa5a9e987528 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FeedEval: Pedagogically Aligned Evaluation of LLM-Generated Essay Feedback arXiv:2601.04574v2 Announce Type: replace Abstract: Going beyond the prediction of numerical scores, recent research in automated essay scoring has increasingly emphasized the generation of high-quali https://pulse-3k2.pages.dev/news/46eced7f600c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LVLMs and Humans Ground Differently in Referential Communication arXiv:2601.19792v4 Announce Type: replace Abstract: For generative AI agents to partner effectively with human users, the ability to accurately predict human intent is critical. But this ability to co https://pulse-3k2.pages.dev/news/9a4ea6b705c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents arXiv:2602.10384v4 Announce Type: replace Abstract: Vision-language models (VLMs) perform well on many document understanding tasks, yet their reliability in specialized, non-English domains remains u https://pulse-3k2.pages.dev/news/c71de984ef63 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/MIT-DescribeAnything-01-press.jpg?itok=RxMov68e Could AI tell you where you left your keys? A new spatial memory system for robots efficiently captures details about the objects they see while exploring their environment. https://pulse-3k2.pages.dev/news/0023d7da4aef 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c2819be897ac 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b3b1ace6e4f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5f40f1ec98e7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c187d6c6c73a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/42888cf86bd6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3f0b7696826d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17905/gradient.png ChLogic: Evaluating Robustness of Logical Reasoning in Chinese Expressions Abstract ChLogic benchmark reveals persistent performance gaps between English and Chinese logical reasoning in large language models, influenced by surface realization differences and translation art https://pulse-3k2.pages.dev/news/b24184c358ea 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17162/gradient.png MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Abstract MemSlides presents a hierarchical memory framework for personalized presentation agents that separates long-term user profiles, working memory for session constraints, and tool memory for reu https://pulse-3k2.pages.dev/news/56fbeb15bc1d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15142/gradient.png MotionVLA: Vision-Language-Action Model for Humanoid Motion Abstract A dual-stream frequency tokenizer and autoregressive model are proposed to improve humanoid motion generation by separately encoding pose and physical dynamics, achieving better diversity and https://pulse-3k2.pages.dev/news/f28ad609eaee 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15236/gradient.png Show the Signal, Hide the Noise: Spectral Forcing for Pixel-Space Diffusion Abstract Spectral Forcing, a time-conditional 2D-DCT low-pass operator, improves diffusion model efficiency by explicitly separating signal from noise in pixel-space models. Generated by Qwen/Qwen2.5- https://pulse-3k2.pages.dev/news/30d87fe5b1e8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7a77bc600670 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17200/gradient.png ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining Abstract A unified Vision-Language-Action pretraining framework leverages heterogeneous data sources including human egocentric videos and robot trajectories through a reliability-aware training appro https://pulse-3k2.pages.dev/news/1e4128b3b868 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17321/gradient.png ProCUA-SFT Technical Report Abstract Training computer-use agents using a large-scale synthetic dataset with automated task generation and verification achieves significantly improved performance on desktop interaction benchmark https://pulse-3k2.pages.dev/news/a8b5a573ddc8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18216/gradient.png Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Abstract Zone of Proximal Policy Optimization (ZPPO) improves knowledge distillation by using reformulated prompts that help students learn from both correct and incorrect responses, enhancing perform https://pulse-3k2.pages.dev/news/0dd1c31e00e4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17628/gradient.png OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation Abstract OPD-Evolver is a self-evolving agent framework that combines slow-fast co-evolution with on-policy self-distillation to enhance memory management and policy learning across multiple domains. https://pulse-3k2.pages.dev/news/52e0f4e6f4a6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15345/gradient.png Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus Abstract Research agents face significant challenges when evidence is in a different language than the query, with performance degrading even when gold evidence is provided directly. Generated by Qwen https://pulse-3k2.pages.dev/news/3f9051365d26 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16154/gradient.png A Gradient Perspective on RLVR Stability and Winner Advantage Policy Optimization Abstract Training instability in reinforcement learning with verifiable rewards is analyzed through token-level gradient dynamics, leading to a stable policy optimization method that updates only on p https://pulse-3k2.pages.dev/news/ba98d9eff360 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17861/gradient.png GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine? Abstract End-to-end game generation presents significant challenges for coding agents, requiring them to create complete playable games from natural language descriptions while meeting specific evalua https://pulse-3k2.pages.dev/news/3763bca91c7b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18249/gradient.png Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification Abstract UniAR presents a unified autoregressive framework that uses a single discrete visual tokenizer to bridge visual understanding and generation, achieving state-of-the-art results in image gener https://pulse-3k2.pages.dev/news/1995590b8c41 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.18208/gradient.png Looped World Models Abstract Looped World Models introduce iterative latent state refinement through shared transformer blocks, achieving 100x parameter efficiency while adapting computational depth to prediction complex https://pulse-3k2.pages.dev/news/603571cc5721 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09030/gradient.png TRIAGE: Dialectical Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series with LLMs Abstract A framework called TRIAGE is proposed to improve clinical early warning systems by training large language models to generate dialectical reasoning for continuous risk scoring with better cal https://pulse-3k2.pages.dev/news/0c57cff5429d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16428/gradient.png LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching Abstract LectūraAgents is a multi-agent framework that enables personalized learning through adaptive embodied teaching by mimicking professor-student interactions and generating coordinated teaching https://pulse-3k2.pages.dev/news/bc689c764e69 2026-07-02 monthly 0.7 https://www.dexerto.com/cdn-image/wp-content/uploads/2026/06/16/stop-killing-games-fails.jpg Stop Killing Games fails to secure EU law despite 1.3M signatures Article URL: https://www.dexerto.com/gaming/stop-killing-games-fails-to-secure-eu-law-despite-1-3m-signatures-3376431/ Comments URL: https://news.ycombinator.com/item?id=48564696 Points: 208 # Comment https://pulse-3k2.pages.dev/news/909ca94937e0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13811/gradient.png Aligning Quantum Operators with Large Language Models Abstract Large language models can be adapted to understand quantum operators by mapping unitary matrices into their latent space, enabling quantum circuit synthesis and language-conditioned gate cons https://pulse-3k2.pages.dev/news/5adb789548ce 2026-07-02 monthly 0.7 https://preview.redd.it/ryg5u80hoq7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=9cac7c67319b85bc686c6eabcd8fc66e65ca7b73 Someone awhile ago did a quant shootout for Qwen3.6, I did shoddy math on it (again) &#32; submitted by &#32; /u/Diablo-D3 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/f20650405ae8 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/76TMur2tYAmxkM3smwTf2r/ae6ac484b7f05f4ca253f8dabb001eec/vercel_passport_enters_public_beta_og_card.jpg Vercel Passport is now in Public Beta Enterprise teams can now control access to their Vercel deployments with Vercel Passport . Passport centralizes access using the identity providers your team already uses, like Okta, Auth0, or any com https://pulse-3k2.pages.dev/news/8a1330bd5289 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/15mFSNaCmVmIovl29j6U9F/8e8a05f348011ca104262dbd86ce24d7/open-source_agent_framework_og_card.jpg Introducing eve, an open-source agent framework eve is now available in public preview. eve is an open-source framework for building, running, and scaling agents. An agent is just a directory of files, and production comes built in: Durable executi https://pulse-3k2.pages.dev/news/b59b3271b775 2026-07-02 monthly 0.7 https://huggingface.co/blog/assets/agentic-resource-discovery-launch/thumbnail.png Agentic Resource Discovery: Let agents search Back to Articles a]:hidden"> Agentic Resource Discovery: Let agents search for tools, skills, and other agents. Published June 17, 2026 Update on GitHub Upvote - ben burtenshaw burtenshaw shaun smith https://pulse-3k2.pages.dev/news/8a2d87782df0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/381e7f583722 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/1trh6KslZ4XaGmEYHQVoDP/e4a6d9910ef9025bfbe5bed00cf0ae42/LifeSciBench_16x9.png?w=1600&amp;h=900&amp;fit=fill Introducing LifeSciBench Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions. https://pulse-3k2.pages.dev/news/6eca84a37bd8 2026-07-02 monthly 0.7 https://preview.redd.it/7danrjnieq7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=bc4b997495bff24a181c8ff42690a3e2b6fa5ae3 VibeThinker-3B: what is this witchcraft? Killing it at MathQA like it has ~30B parameters &#32; submitted by &#32; /u/JLeonsarmiento [link] &#32; [comments] https://pulse-3k2.pages.dev/news/b753b3f9186c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2505.14608/gradient.png Attacks on Machine-Text Detectors Retain Stylistic Fingerprints Abstract Machine-text detection remains challenging despite evasion techniques, but stylistic features can provide robust defense when analyzed across multiple documents rather than individual instanc https://pulse-3k2.pages.dev/news/1685bd2a1cba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/47ee952a9273 2026-07-02 monthly 0.7 https://mll.sh/assets/img/iis-shortname-github.png Humiliating IIS servers for fun and jail time Article URL: https://mll.sh/humiliating-iis-servers-for-fun-and-jail-time/ Comments URL: https://news.ycombinator.com/item?id=48563394 Points: 202 # Comments: 49 https://pulse-3k2.pages.dev/news/1b87c6d3d171 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/03/Dario-Amodei-Anthropic-viva-tech.jpg?w=1024 Anthropic&#8217;s latest feud with the Trump admin may actually help it, sales data suggests Anthropic's popularity with business users is growing so well that the latest beef with the government might actually boost it, data from Ramp suggests. https://pulse-3k2.pages.dev/news/c2adfc1beb1d 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/AR-Glasses-e1781633499339.webp Building AI Agents for AR Glasses and XR Devices with NVIDIA XR AI Developers building for AR glasses and wearable devices face an infrastructure gap. The hardware is ready, but creating AI experiences requires integrating live... https://pulse-3k2.pages.dev/news/d924cbf10fae 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/xai-grok-1152x648.jpg Trump admin tries to block Clean Air Act lawsuit over xAI&#039;s gas turbines NAACP lawsuit says xAI uses gas turbines without permits for Grok data center. https://pulse-3k2.pages.dev/news/bb018510a40a 2026-07-02 monthly 0.7 https://preview.redd.it/3s4kja00yp7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=c32448b32ed5903d1cfbfee58fc91f5f7e3227d8 Le Gros Chaton running on my '84 Corolla Radio &#32; submitted by &#32; /u/Firm_Meeting6350 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/61c65a46890c 2026-07-02 monthly 0.7 https://preview.redd.it/0r5f1muowp7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=c7d2714d145a47f0f7ba8f2660a99142a1ac4d26 I didn't know it was possible to compile llamacpp to run cuda + vulkan at the same time.. cmake -B build -G "Visual Studio 17 2022" -A x64 -DCUDAToolkit_ROOT="C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" -DGGML_CUDA=ON -DGGML_VULKAN=ON -DGGML_FLASH_ATTN=ON -DGGML_BLAS=OFF -DGG https://pulse-3k2.pages.dev/news/eb5199052f6d 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!liN9!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fpbs.substack.com%2Fmedia%2FHK9Ut7TWQAAcA8y.jpg OpenAI’s lead is dwindling fast As James Carville might have said, &#8220;It&#8217;s the lack of a moat, stupid&#8221; https://pulse-3k2.pages.dev/news/1295c8c692cc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c36939a2dda4 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/datasette-edit-first-frame.gif datasette 1.0a34 Release: datasette 1.0a34 Quoting the release notes: The big feature in this alpha is tools to insert, edit and delete rows within the Datasette interface. These features are available on table pages, https://pulse-3k2.pages.dev/news/db56993aed29 2026-07-02 monthly 0.7 https://preview.redd.it/ffwqkl3mqp7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b15bf49f670f89cdd4c700c1ab55fd744f310c1a GLM-5.2 is now 1st on Design Arena — ahead of the now unavailable Claude Fable 5. https://x.com/Designarena/status/2066940737011560652 &#32; submitted by &#32; /u/Recoil42 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/334cabed9c98 2026-07-02 monthly 0.7 https://lh3.googleusercontent.com/1nzzmCz7DnSSgTp58iRjQCpasvJSaQdYtVmjVvjj4WPQYXTRuf5dMySOmD8gqveB76P7rsmOPOwperUzQy3PYU5DGZ31UGkktF9ODP4U5WYODEOM=w1440-h810-n-nu Unlocking UK house-building with AI-accelerated planning UK government partners with Google DeepMind to build a new AI-powered prototype aimed at faster housing decisions. https://pulse-3k2.pages.dev/news/ccb02d928b52 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2025/02/claude37_header-1152x648.jpg Anthropic "pauses" token-based billing for its Claude Agent SDK Move originally planned for Monday would have heavily increased power users' costs. https://pulse-3k2.pages.dev/news/2f0101a49212 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/Screenshot-2026-06-16-at-1.35.20-PM.png?resize=924%2C819 What are git worktrees, and why should I use them? Git worktrees have been around since 2015, but it wasn't until recently they became popular. Learn what they are, how to use them, and why you might. The post What are git worktrees, and why should I https://pulse-3k2.pages.dev/news/53a2ac52c676 2026-07-02 monthly 0.7 https://preview.redd.it/fsebhttjhp7h1.jpg?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=b0652d2daacc137b9a2d90d953b4a74102cd32d3 Is Le Gros Chaton opensource? so i keep hearing about le gros chaton, the upcoming mistral model that allegedly destroys claude mythos, gpt-5.5, my sleep schedule, and possibly the french economy. people say it has 1b context, sel https://pulse-3k2.pages.dev/news/35f61077d747 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/15747e96e4a8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9270d7953040 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/image7.webp Build Your Own Transaction Foundation Model for Financial Intelligence Every swipe, transfer, and payment on a modern financial network encodes a pattern of human behavior. Transaction data is one of the richest signals an... https://pulse-3k2.pages.dev/news/95f9ed1624bf 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-inm-manufacturing.jpg?itok=Ffoqz9lZ MIT’s Initiative for New Manufacturing builds momentum In its first year, INM has worked across research, workforce development, and industry engagement to help accelerate new manufacturing technologies and their real-world deployment. https://pulse-3k2.pages.dev/news/b5937771025a 2026-07-02 monthly 0.7 https://preview.redd.it/obf62mkmep7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=01d599541509c10a8573a6a2adcf0f324c9e573f GLM-5.2 just dropped open weights and it already looks weirdly strong for coding GLM-5.2 just released and the early numbers look pretty insane. 1M context window, open weights, MIT license, two reasoning effort modes, and it is already showing up near the top of coding arenas. I https://pulse-3k2.pages.dev/news/c751660641cb 2026-07-02 monthly 0.7 https://external-preview.redd.it/8Cltr6b1VOXrqc6ad3QPt6Wqn0W0dKU2i2HwdNBzA4E.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=a6772512f36029836e8cc21d609c5a810b11c33e Zhipu surges 33% as Wall Street raises bets on China AI after Anthropic curbs &#32; submitted by &#32; /u/fallingdowndizzyvr [link] &#32; [comments] https://pulse-3k2.pages.dev/news/aa6c9ee97349 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/01/GettyImages-1244294229.jpg?resize=1200,675 SpaceX valuation balloons to $2.6T, briefly passes Amazon SpaceX's valuation has increased by $1 trillion since its shares started trading on Friday. https://pulse-3k2.pages.dev/news/49b7c11304c8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/818f7773d82a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a01fa85d3c22 2026-07-02 monthly 0.7 https://preview.redd.it/zdl12evh9p7h1.png?width=140&amp;height=92&amp;auto=webp&amp;s=dcaec8fa51a87a16aa787372ed6df1de9c250dab GLM 5.2 API is live, weights are on HF, and ollama has it already GLM 5.2 dropped on Friday locked behind the GLM Coding Plan. That was annoying if you just wanted to test it without subscribing to another IDE tier. Two hours ago today they opened the API and pushed https://pulse-3k2.pages.dev/news/160c4910c14f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1fcda1ea7869 2026-07-02 monthly 0.7 https://preview.redd.it/w2433ge65p7h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=30e0ed62242fcbc73bb28195a022742b7a563b90 Hashicorp founder thinks local models "aren't good ENOUGH yet" Generally, respect him a lot, but this is a wrong take. More than 1 year ppl are doing alright using SLMs for coding; only vibecoders might struggle Link &#32; submitted by &#32; /u/Orbit652002 [link] https://pulse-3k2.pages.dev/news/f4f3839e1890 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d76a514580f5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8db98fd66307 2026-07-02 monthly 0.7 https://preview.redd.it/8j43gkgrxo7h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=44cde39a00a88e635947c2f523dcaf67186426bb GLM-5.2 is the first open-weights model to cross 80% on Terminal-Bench and beats every other open model available From Source: GLM-5.2 is the first open-weights model to cross 80% on Terminal-Bench, and beats every other open model available. It also beats Gemini, making it a frontier-level model for a fraction o https://pulse-3k2.pages.dev/news/8557b00f158f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/63bbb143af6b 2026-07-02 monthly 0.7 https://preview.redd.it/l882m154to7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=5cb33f1b945676500062d547e0a0f41a4e8562b6 GLM-5.2 Takes #2 Spot on WebDew Arena glm 5.2 takes #2 spot WebDev* :) &#32; submitted by &#32; /u/Competitive-Arm-9300 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/a63630bc9083 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Hegseth-Congress-1024x648.jpg Pentagon boasts of using AI to write reports mandated by Congress Pentagon also claims 1.5 million personnel are using generative AI tools. https://pulse-3k2.pages.dev/news/58ef524a5aeb 2026-07-02 monthly 0.7 https://external-preview.redd.it/gVm2HAFOYw31yRogTUp00YxC-Qf776VbWBRWekvBtZc.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=8fa04252c71f2343271716cab3cfb6e83b2bbec0 GLM-5.2 is available on HuggingChat &#32; submitted by &#32; /u/paf1138 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/fc68331373f9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/gemini-app-GettyImages-2276204472.jpg?w=1024 Android 17 launches with new multitasking tools as Google expands Gemini features Google has released Android 17 and Wear OS 7, introducing new multitasking features, parental controls, security tools, and smartwatch upgrades. The launch is also accompanied by a Pixel Drop that bri https://pulse-3k2.pages.dev/news/1b09fc5b2421 2026-07-02 monthly 0.7 https://www.tno.nl/publish/pages/14621/genai.jpg GPT‑NL: a sovereign language model for the Netherlands Article URL: https://www.tno.nl/en/digital/artificial-intelligence/gpt-nl/ Comments URL: https://news.ycombinator.com/item?id=48559188 Points: 206 # Comments: 203 https://pulse-3k2.pages.dev/news/00b0bbd89e38 2026-07-02 monthly 0.7 https://preview.redd.it/kxbwrfnglo7h1.png?width=320&amp;crop=smart&amp;auto=webp&amp;s=2f83a6b2fbc675be4790406f3c441d84e8b289b4 Mistral - New family of open-weight models @ July Tweet : https://xcancel.com/arthurmensch/status/2066913353860018596#m &#32; submitted by &#32; /u/pmttyji [link] &#32; [comments] https://pulse-3k2.pages.dev/news/5949c7674171 2026-07-02 monthly 0.7 https://external-preview.redd.it/bh-kLtecigzvJBYZCSf-LBXcNc1oa-HXkiLqp-zNdtQ.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=c4de69d30414e5f9120fc2f135d1de4002d5a5e0 zai-org/GLM-5.2 is here! &#32; submitted by &#32; /u/queendumbria [link] &#32; [comments] https://pulse-3k2.pages.dev/news/59abd19ff11d 2026-07-02 monthly 0.7 https://external-preview.redd.it/-6Db4tV8uDogBzE4_ofbNItK3NmbAJw1VxBu2U39bv8.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=6114e0c6af23e6f6574775318da9fcc09abf3282 bartowski/command-a-plus-05-2026-GGUF · Hugging Face Try with latest llama.cpp version. Share your t/s benchmarks & feedback &#32; submitted by &#32; /u/pmttyji [link] &#32; [comments] https://pulse-3k2.pages.dev/news/e1aa9ff126fa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/866ef7423e91 2026-07-02 monthly 0.7 https://tim.blog/wp-content/uploads/2020/09/socialmedia_timFerriss_200114_005.jpg Has AI already killed self-help nonfiction books? Article URL: https://tim.blog/2026/06/12/has-ai-already-killed-nonfiction/ Comments URL: https://news.ycombinator.com/item?id=48558489 Points: 255 # Comments: 267 https://pulse-3k2.pages.dev/news/b047ef6d0ab5 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/ai-game-character-500x282.gif Build On-Device AI Companions with the NVIDIA ACE Game Agent SDK and Unreal Engine 5 Plugins NVIDIA RTX technologies are deeply integrated into Unreal Engine 5 through the NVIDIA RTX Branch of Unreal Engine and the NVIDIA DLSS Unreal Engine plugin. This... https://pulse-3k2.pages.dev/news/0727ad72558c 2026-07-02 monthly 0.7 https://github.githubassets.com/assets/gist-og-image-54fd7dc0713e.png Stop Using JWTs Article URL: https://gist.github.com/samsch/0d1f3d3b4745d778f78b230cf6061452 Comments URL: https://news.ycombinator.com/item?id=48558147 Points: 208 # Comments: 128 https://pulse-3k2.pages.dev/news/05c66e977c5c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/09/wordpress-v1.jpg?resize=1200,675 Sixty percent of U.S. consumers say &#8216;AI&#8217; in brand messaging is a turnoff, survey finds WordPress VIP’s latest survey suggests consumers are wary of AI-generated answers even as companies increasingly view AI search as an important referral channel. https://pulse-3k2.pages.dev/news/0d15d7c1b878 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!PupZ!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Feabe4407-76aa-47a3-a8cb-1d955c05bf03_1972x1072.png Why is Meta destroying its engineering organization? Article URL: https://newsletter.pragmaticengineer.com/p/why-is-meta-destroying-its-engineering Comments URL: https://news.ycombinator.com/item?id=48558045 Points: 224 # Comments: 143 https://pulse-3k2.pages.dev/news/2910fecd2968 2026-07-02 monthly 0.7 https://mareksuppa.com/og/bash-dev-tcp-http-without-curl.png TIL: You can make HTTP requests without curl using Bash /dev/TCP Article URL: https://mareksuppa.com/til/bash-dev-tcp-http-without-curl/ Comments URL: https://news.ycombinator.com/item?id=48558018 Points: 204 # Comments: 112 https://pulse-3k2.pages.dev/news/9072570a39dc 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Cursor-1152x648-1781627048.png SpaceX acquires AI coding platform Cursor for $60 billion Separately, neither could compete. Now they hope they can. https://pulse-3k2.pages.dev/news/c4f60343edb5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15956/gradient.png You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences Abstract Temporal Difference in Vision (TDV) presents a novel self-supervised learning approach for video data that eliminates traditional inductive biases by leveraging causal relationships between p https://pulse-3k2.pages.dev/news/7f39b5b357a5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a54155c5488c 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-1828746438-1152x648.jpg Leaked financial docs show OpenAI is losing billions of dollars a year Audited accounting shows growing revenues being dwarfed by R&#038;D, other expenses. https://pulse-3k2.pages.dev/news/a6b5c35ec069 2026-07-02 monthly 0.7 https://platform.theverge.com/wp-content/uploads/sites/2/2026/06/268530_SUMMER_UPGRADE_WEEK__NAUSEA_DOTS_ADemidova.jpg?quality=90&amp;strip=all&amp;crop=0%2C10.732984293194%2C100%2C78.534031413613&amp;w=1200 Apple's weird anti-nausea dots cured my car sickness Article URL: https://www.theverge.com/tech/942854/apple-vehicle-motion-cues-review-really-work Comments URL: https://news.ycombinator.com/item?id=48557530 Points: 301 # Comments: 97 https://pulse-3k2.pages.dev/news/8579f87a8b5a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/99a1d4516e1b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4f6a04c5232b 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/cube-black-background.webp How to Optimize Transformer-Based Models for Low-Precision Training Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU... https://pulse-3k2.pages.dev/news/741da9c2f156 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15534/gradient.png Track2View: 4D-Consistent Camera-Controlled Video Generation via Paired 3D Point Tracks Abstract Track2View generates novel camera viewpoints from videos by using 3D point tracks to establish explicit spatiotemporal correspondences, achieving superior visual quality and camera accuracy c https://pulse-3k2.pages.dev/news/f3e9911cbdd6 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!tDMo!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4d8253d1-d6c2-46ae-903b-e467a4352757_992x1098.png Fable and Mythos: Model Welfare Fable and Mythos are currently unavailable, but likely will return within a few weeks. I will continue to cover that fiasco, but in the meantime I will also finish my review of Fable, as if it were av https://pulse-3k2.pages.dev/news/195da1426635 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/elon-nasdaq-spacex-ipo.jpg?resize=1200,801 SpaceX is public: Everything you need to know post-IPO TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and mayb https://pulse-3k2.pages.dev/news/307ce39f95a3 2026-07-02 monthly 0.7 https://external-preview.redd.it/6oG48Ji6YIgmovMQts0leGN2gJqRlaE5oio3eBRJkDs.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=96e7de54e25841e1128fbeb561b72d885e5dedd5 [Article] The Case For Open-Weight Models And Why We Can't Trust Frontier Labs | provos.org &#32; submitted by &#32; /u/ttkciar [link] &#32; [comments] https://pulse-3k2.pages.dev/news/45bc33c734d0 2026-07-02 monthly 0.7 https://lh3.googleusercontent.com/3ztbyOBouDxh98WKLBrBBRphJB_ICf-D7CaRIlUKhb3-feUn-n15WWD_78F2rcBUN-a_99nVKg1Qd7_fJcaDb7LVYmueaP-NyBUp2PRJGjl_y0islA=w1440-h810-n-nu Securing the future of AI agents Securing internal systems with an AI Control Roadmap, combining traditional safeguards and real-time monitoring. https://pulse-3k2.pages.dev/news/7751c39c6106 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!vbiG!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F81f2f472-3f1c-4d13-917e-d33434c4be78_2050x1340.png Calvin and Hobbes and the price of integrity Article URL: https://therepublicofletters.substack.com/p/calvin-and-hobbes-and-the-price-of Comments URL: https://news.ycombinator.com/item?id=48557079 Points: 209 # Comments: 80 https://pulse-3k2.pages.dev/news/fb07aca2ac7a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4de9d90e232d 2026-07-02 monthly 0.7 https://browser-use.com/images/microvm-infra/og.png How we run Firecracker VMs inside EC2 and start browsers in less than 1s Article URL: https://browser-use.com/posts/firecracker-browser-infra Comments URL: https://news.ycombinator.com/item?id=48556561 Points: 216 # Comments: 143 https://pulse-3k2.pages.dev/news/bd471f0daf42 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17024/gradient.png ExpRL: Exploratory RL for LLM Mid-Training Abstract ExpRL uses human-written question-answer data as reward scaffolds to provide automated reinforcement learning priming for language models, outperforming traditional methods on math reasoning https://pulse-3k2.pages.dev/news/0898c9e06ca8 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/image1-7.webp NVIDIA Blackwell Tops MLPerf Training 6.0 with Industry-Leading Scale and Performance NVIDIA delivered a clean sweep in MLPerf Training v6.0, the latest edition of industry-standard AI training benchmarks developed by the MLCommons consortium.... https://pulse-3k2.pages.dev/news/8596f4289f28 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/06/GettyImages-2217198328.jpeg?resize=1200,800 DOJ claims xAI’s unpermitted gas turbines are a matter of ‘national, economic, and energy security’ The Justice department says the Pentagon needs xAI to keep using its unpermitted gas turbines. https://pulse-3k2.pages.dev/news/3f68619183d0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/08/SilverBlack-Plaud-Note-Pro.jpeg?resize=1200,675 Plaud says its software business topped $100M in ARR after shipping over 2M AI notetakers Plaud is trying to make a mark in a crowded market full of AI-powered meeting notetakers. https://pulse-3k2.pages.dev/news/d156faaeacc9 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2021/01/robinhood-volatility.jpg?resize=1200,675 Robinhood&#8217;s note on 10% layoffs shows blaming AI isn&#8217;t cutting it Unlike many of his tech industry peers who have cut thousands of jobs citing the need to restructure to make the most of AI, Robinhood's CEO Vlad Tenev conspicuously made no mention of AI in his note https://pulse-3k2.pages.dev/news/f255d254cd0a 2026-07-02 monthly 0.7 https://vickiboykis.com/images/refactor_gemma.png Running local models is good now Article URL: https://vickiboykis.com/2026/06/15/running-local-models-is-good-now/ Comments URL: https://news.ycombinator.com/item?id=48555993 Points: 299 # Comments: 159 https://pulse-3k2.pages.dev/news/1b694af1787f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8806685d2e63 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17054/gradient.png Human Universal Grasping Abstract A flow-matching model generates diverse human grasps from RGB-D images, enabling zero-shot robotic grasping with improved performance over existing methods. Generated by Qwen/Qwen2.5-Coder-32 https://pulse-3k2.pages.dev/news/caee15bcfc58 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2023/01/GettyImages-1244294229.jpg?resize=1200,675 SpaceX passes Amazon as valuation balloons to $2.7T SpaceX's valuation has increased by $1 trillion since its shares started trading on Friday. https://pulse-3k2.pages.dev/news/82c24d716137 2026-07-02 monthly 0.7 https://preview.redd.it/obgodr9dfn7h1.png?width=140&amp;height=79&amp;auto=webp&amp;s=0676a3e1e35ae22ef9da8f84b305a88154eab72a Scaling former VibeThinker-1.5B to 3B — now it reaches frontier math & coding performance https://preview.redd.it/obgodr9dfn7h1.png?width=1796&format=png&auto=webp&s=b5fd95e2b7e6f8ed7704e3de66778e970d34a1dd We trained VibeThinker-3B to test how far verifiable reasoning can be pushed in a s https://pulse-3k2.pages.dev/news/23ebef4e3ae0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16202/gradient.png EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video Abstract EgoPhys enables deformable digital twin generation from egocentric RGB video by using generalizable priors and compact codebooks to predict dense spring stiffness fields without per-spring op https://pulse-3k2.pages.dev/news/1dcc37edec2f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12138/gradient.png Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders Abstract Sparse autoencoders exhibit feature stability patterns where stable features carry most predictive signal while unstable features reflect reproducible low-dimensional structure despite indivi https://pulse-3k2.pages.dev/news/e98c3815320c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15768/gradient.png LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies Abstract LaWAM enables efficient robot control by predicting compact latent visual subgoals instead of expensive video generation, achieving high performance with reduced computational latency. Genera https://pulse-3k2.pages.dev/news/089ed41263c9 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!RXNT!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fe0683459-e10e-4c6a-8192-71df98e12836_4400x2748.png Frontier post-training recipe review with Finbarr Timbers "Interview" #18 https://pulse-3k2.pages.dev/news/14bedebab4b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/787ab063188a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/probably-peter-elias.png?resize=1200,800 Probably raises $9M to build a more reliable kind of AI Probably wants to prevent hallucinations and factual errors from reaching users, and achieve accuracy on par with deterministic systems. https://pulse-3k2.pages.dev/news/46bf33faef6b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14958/gradient.png MVEB: Massive Video Embedding Benchmark Abstract A large-scale video embedding benchmark evaluates diverse models across multiple video understanding tasks, revealing that different model architectures excel in specific domains and demonstr https://pulse-3k2.pages.dev/news/0d5c6560db87 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/40c5ddeec824 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15708/gradient.png Artificial Intelligence Index Report 2026 Abstract Welcome to the ninth edition of the AI Index report. As AI continues to advance rapidly, the question becomes whether the systems built around it can keep up. Governance frameworks, evaluatio https://pulse-3k2.pages.dev/news/75348c5209ce 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17030/gradient.png Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation Abstract Qwen-RobotWorld is a language-conditioned video world model that predicts future visual trajectories across multiple robotic domains using a double-stream diffusion transformer and embodied w https://pulse-3k2.pages.dev/news/c471f839470a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3ef890d0ad55 2026-07-02 monthly 0.7 https://ichef.bbci.co.uk/news/1024/branded_news/4d41/live/929b64a0-697a-11f1-8546-8f19e4fe30f4.jpg SpaceX Is Buying Cursor Article URL: https://www.bbc.com/news/articles/cvgd5g7d7gyo Comments URL: https://news.ycombinator.com/item?id=48554215 Points: 255 # Comments: 289 https://pulse-3k2.pages.dev/news/60682eddfbab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fc0aa2d8fe47 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fb7effa5664e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e67332c92aee 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15079/gradient.png Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale Abstract Ling-2.6 and Ring-2.6 models are presented as scalable solutions for agentic intelligence, featuring architectural upgrades and specialized training methods to balance fast response times wit https://pulse-3k2.pages.dev/news/64432f3b14eb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4f7c9a062bdd 2026-07-02 monthly 0.7 https://preview.redd.it/da25acl6tm7h1.png?width=140&amp;height=49&amp;auto=webp&amp;s=18f9f72f05496bc7eadb158f9dc6019767f68331 Qwen3.6 27B quants I have a project (picture) entirely made with bartowski 27B IQ3 XXS, turbo3 (and some parts with unsloth IQ3 XXS turbo4 when MTP became available). The project works as intended. Is fast, reliable... https://pulse-3k2.pages.dev/news/0b351766dacd 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16852/gradient.png The Ghosts of Polymarket: When Off-Chain Matches Meet On-Chain Reverts Abstract Polymarket has emerged as a prominent prediction market platform and one of the fastest-growing applications in DeFi. To achieve low-latency trading, it adopts a hybrid architecture that matc https://pulse-3k2.pages.dev/news/7958aa0de323 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fc82a313da7b 2026-07-02 monthly 0.7 https://ciechanow.ski/images/og/watch.png Mechanical Watch (2022) Article URL: https://ciechanow.ski/mechanical-watch/ Comments URL: https://news.ycombinator.com/item?id=48553550 Points: 229 # Comments: 29 https://pulse-3k2.pages.dev/news/bdb897e9b16c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/elon-nasdaq-spacex-ipo.jpg?resize=1200,801 SpaceX to acquire Cursor for $60B in stock, days after blockbuster IPO The deal is supposed to help SpaceX's struggling AI division. The company told IPO investors it sees a $26 trillion addressable market in AI. https://pulse-3k2.pages.dev/news/a80ed50c7151 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2242817595-1152x648.jpg Critical Copilot vulnerability allowed hackers to seal 2FA code from users SearchLeak exploit shows why the industry's approach to LLM security fails over and over. https://pulse-3k2.pages.dev/news/47d0729fea55 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cf7022f21c1c 2026-07-02 monthly 0.7 https://storage.ghost.io/c/eb/37/eb37738a-77f2-4eaf-9de2-43f9b30fffd5/content/images/2026/05/image--16-.png DuckDB Internals: Why Is DuckDB Fast? (Part 1) Article URL: https://www.greybeam.ai/blog/duckdb-internals-part-1 Comments URL: https://news.ycombinator.com/item?id=48553388 Points: 214 # Comments: 71 https://pulse-3k2.pages.dev/news/62949f98952a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8d30a52e4e15 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2584a30395b8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a309dfcbcb0d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/04/GettyImages-2205105208.jpg?resize=1200,800 ChatGPT&#8217;s market share slips below 50% for first time The chatbot still remains the most popular AI assistant worldwide with over 1.1 billion monthly users, followed by Gemini with 662 million and Claude with 245 million. https://pulse-3k2.pages.dev/news/fbdb2970e5aa 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2602.21103/gradient.png Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning Abstract Prompt-Level Distillation extracts reasoning patterns from teacher models to enhance student model performance while maintaining interpretability and reducing latency. Generated by Qwen/Qwen2 https://pulse-3k2.pages.dev/news/ff1b84a9ef07 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/184435ab1f7d 2026-07-02 monthly 0.7 https://stratechery.com/wp-content/uploads/2026/06/fox-1.png Fox Buys Roku, The Problem With Fox&#8217;s Smart Strategy, Streaming That Works The market hates Fox's acquisition of Roku, but the company is trading extraction from rights holders for leverage as a renter. https://pulse-3k2.pages.dev/news/4d313a7bc8e6 2026-07-02 monthly 0.7 https://preview.redd.it/j2yb9wo4bm7h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=87bfb890be9e6b070e386f0b6500c503fd79616a Donate your coding sessions to an open CC-BY-4.0 dataset to help train open-weight and open source models Anthropic and Open AI are getting so much data from the Claude Code and Codex usage, and I'm quite scared this will create an oligopoly because only their models will be trained on it, leaving the ope https://pulse-3k2.pages.dev/news/13c91d497524 2026-07-02 monthly 0.7 https://tck.mn/blog/correlated-randomness-sts2/crng_chart.png Correlated randomness in Slay the Spire 2 Article URL: https://tck.mn/blog/correlated-randomness-sts2/ Comments URL: https://news.ycombinator.com/item?id=48552844 Points: 236 # Comments: 75 https://pulse-3k2.pages.dev/news/ff5431a9bb1e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e9226317b5dc 2026-07-02 monthly 0.7 https://image.theregister.com/5255863.jpg?imageId=5255863&x=0&y=9.43&cropw=100&croph=81.13&panox=0&panoy=9.43&panow=100&panoh=81.13&width=1200&height=683 Feds freaked over Fable 5 after simple 'fix this code' prompt, not jailbreak Article URL: https://www.theregister.com/security/2026/06/15/feds-freaked-over-fable-5-after-simple-fix-this-code-prompt-not-jailbreak-says-researcher/5255827 Comments URL: https://news.ycombinator.co https://pulse-3k2.pages.dev/news/6194c5e85918 2026-07-02 monthly 0.7 https://wp.technologyreview.com/wp-content/uploads/2026/06/26-05-27-MIT-TECH-01-Interior-1-FIN-cmyk_1.jpg?w=1425 Want to get a data center online quickly? Give it some flex. At the end of a tense and scoreless first half of a soccer match between the English men’s team and rival Germany, millions of Brits let out a collective sigh and did what they so often do in moments https://pulse-3k2.pages.dev/news/77b3045eff1b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c3acad7783ea 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17043/gradient.png Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes Abstract Hierarchical Advantage-Weighted Behavior Cloning (HABC) addresses sparse reward challenges in robot learning by separately optimizing viability and efficiency objectives through adaptive crit https://pulse-3k2.pages.dev/news/8e2e790e4fa4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14667/gradient.png Memento: Reconstruct to Remember for Consistent Long Video Generation Abstract Memento is a subject-reconstruction-guided framework that improves long-form video generation by preserving recurring subjects through memory-based reconstruction and dual-query mechanisms. G https://pulse-3k2.pages.dev/news/39e236d5f209 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16396/gradient.png SP^3: Spherical Priors for Plug-and-Play Restoration Abstract SP³ uses spherical encoders as generative priors to accelerate maximum a posteriori image restoration, enabling fast convergence and high-quality results through structured latent space proje https://pulse-3k2.pages.dev/news/fd3448f5df81 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16771/gradient.png GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization Abstract Multi-dimensional reward optimization in large language models is enhanced through a conflict-aware filtering mechanism that prevents signal cancellation and accelerates reinforcement learnin https://pulse-3k2.pages.dev/news/5e0502fee5c4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16673/gradient.png MMDiff: Extending Diffusion Transformers for Multi-Modal Generation Abstract MMDiff transforms frozen diffusion transformers into multi-modal generative systems that produce images and perceptual modalities using lightweight decoders, achieving improved semantic segme https://pulse-3k2.pages.dev/news/cbb9214e3da9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14819/gradient.png Selective Control under Noisy Perception: Governance Failures Hidden by Aggregate Metrics in Modular Networks Abstract Content moderation systems can cause disproportionate harm to bridge users connecting separate communities, even when overall accuracy metrics appear satisfactory, with governance loss increa https://pulse-3k2.pages.dev/news/dc9555a53b46 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/respond-team-comp-2.webp?resize=1200,800 Malaysia&#8217;s AI agent-powered messaging app Respond.io raises $62.5M, eyes acquisitions Respond.io, one of Malaysia startups to watch, uses AI agents to handle high volumes of customer inquiries and charges per convo, not per seat. https://pulse-3k2.pages.dev/news/3329bd246fdb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2b499326f21e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16011/gradient.png Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs Abstract Answer stability in large language models is evaluated through controlled challenges that measure response consistency when correct answers face plausible counterarguments, revealing signific https://pulse-3k2.pages.dev/news/99001f80e1fc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b5612839536e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/76d3d2667913 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3fe3c0f881ca 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/af9d14464c15 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/687fbc5c3028 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15673/gradient.png Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking Abstract WebStep benchmark enables process-level analysis of web agents through semantic MDP tracking, revealing detailed performance differences and error localization that terminal success metrics m https://pulse-3k2.pages.dev/news/77c459f58ef2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16449/gradient.png PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory Abstract PermaVid addresses long-term video consistency after edits by using multi-modal memory banks that separate appearance and geometric structure, enabling coherent video generation across time a https://pulse-3k2.pages.dev/news/5d3028816a29 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0c19a184d4f0 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17046/gradient.png Geometric Action Model for Robot Policy Learning Abstract A geometric action model leverages pretrained geometric foundation models to enable language-conditioned manipulation policies with improved accuracy, robustness, and efficiency in 3D physica https://pulse-3k2.pages.dev/news/1e20117502fa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/787e668210d2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f1f2e6369700 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14142/gradient.png Implicit Reasoning for Large Language Model-based Generative Recommendation Abstract Large Language Models for generative recommendation face challenges with semantic IDs disrupting natural-language reasoning, prompting a lightweight implicit reasoning approach that outperfor https://pulse-3k2.pages.dev/news/285efcbfbbf2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/65189117b436 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/011e1162f650 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14832/gradient.png PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions Abstract PhoneHarness presents a mixed-action benchmark and execution framework for evaluating phone-use agents on verifiable mobile workflows, demonstrating superior performance over existing approac https://pulse-3k2.pages.dev/news/70119550090f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6b63324f9089 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.06302/gradient.png Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving Abstract Multi-turn large language model serving faces memory constraints due to growing key-value cache, but a structured approach to non-uniform compression enables significant throughput improvemen https://pulse-3k2.pages.dev/news/f0d91c2cba7f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d79d5e46bf28 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14777/gradient.png JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence Abstract A vision-language model operates continuously in real-time, making autonomous decisions about when to respond or delegate, enabling interactive systems that perceive and act upon environmenta https://pulse-3k2.pages.dev/news/5fb35c8f7f6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QPILOTS: Efficient Test-Time Q-Steering for Flow Policies arXiv:2606.14801v1 Announce Type: new Abstract: Flow-matching and diffusion policies are expressive action generators, but optimizing them with temporal-difference reinforcement learning (RL) remains https://pulse-3k2.pages.dev/news/c27d61465161 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRAPE: Guided Parameter-Space Evolution for Compact Adversarial Robustness arXiv:2606.14865v1 Announce Type: new Abstract: Adversarial Training (AT) improves neural network robustness, but most methods train a fixed parameter space from the start. This paper asks whether the https://pulse-3k2.pages.dev/news/f60cbbb0ef0f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png {\alpha}-Fair Insurance Pricing: A Fairness Continuum arXiv:2606.14898v1 Announce Type: new Abstract: Fairness in insurance pricing remains a long-standing and deeply debated puzzle. On one hand, insurers, driven by profitability considerations, set prem https://pulse-3k2.pages.dev/news/e4ad6b7328a0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRASP: Gradient-Aligned Sequential Parameter Transfer for Memory-Efficient Multi-Source Learning arXiv:2606.14900v1 Announce Type: new Abstract: Multi-source transfer learning faces a fundamental scalability bottleneck: existing approaches require either loading all K source models into memory si https://pulse-3k2.pages.dev/news/42f5f58f81c3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Policy Regret for Embedding Model Routing: Contextual Bandits with Low-Rank Experts arXiv:2606.14929v1 Announce Type: new Abstract: Modern recommendation systems increasingly rely on dynamically routing diverse queries to multiple embedding models. Despite its practical significance, https://pulse-3k2.pages.dev/news/c12a5a3b5c43 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Separable Neural Architectures as Physical World Models: from Mathematical Theory to Applications arXiv:2606.14934v1 Announce Type: new Abstract: This work introduces the Separable Neural Architecture (SNA), a function representational class combining neural approximation with tensor decomposition https://pulse-3k2.pages.dev/news/baf8f2597f9e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Remember, Don't Re-read: Stateful ReAct Agents for Token-Efficient Autonomous Experimentation arXiv:2606.14945v1 Announce Type: new Abstract: The autoresearch pattern enables autonomous experimentation by having a large language model (LLM) iteratively modify code to optimize a target metric. https://pulse-3k2.pages.dev/news/5541fadb66f8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction arXiv:2606.14956v1 Announce Type: new Abstract: Autonomous driving systems rely on precise trajectory prediction to plan safe and efficient movement. Graph Neural Networks (GNNs) have become a promisi https://pulse-3k2.pages.dev/news/102a18790770 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leveraging Physiological Signals to Predict Exam Outcomes with Machine Learning arXiv:2606.14960v1 Announce Type: new Abstract: This study investigates the application of machine learning models to predict exam outcomes using physiological data collected during examination sessio https://pulse-3k2.pages.dev/news/2786ed94a1ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking Instance-Dependent Label Noise with Controlled Corruptions arXiv:2606.14965v1 Announce Type: new Abstract: Synthetic instance-dependent label noise (IDN) benchmarks are widely used to evaluate noisy-label learning methods, yet existing approaches typically ge https://pulse-3k2.pages.dev/news/bf35cf4a8396 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning arXiv:2606.14970v1 Announce Type: new Abstract: Fine-tuning large language models (LLMs) has become a central application of modern optimization, enabling pretrained models to adapt to diverse downstr https://pulse-3k2.pages.dev/news/ed1ea8fcef10 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FastMix: Fast Data Mixture Optimization via Gradient Descent arXiv:2606.14971v1 Announce Type: new Abstract: While large and diverse datasets have driven recent advances in large models, identifying the optimal data mixture for pre-training and post-training re https://pulse-3k2.pages.dev/news/dc98aec89c40 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rational Sparse Autoencoder arXiv:2606.14990v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are standard tools for mechanistic interpretability, but current SAE families are constrained by fixed encoder nonlinearities https://pulse-3k2.pages.dev/news/7b61775c8a5c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Unlocking Latent Dimensions: Exploring Representations of Large-Scale X-ray Scattering Data using Variational Autoencoders arXiv:2606.14999v1 Announce Type: new Abstract: Scientific user facilities generate X-ray scattering data faster than traditional workflows can process them. We address this challenge across two setti https://pulse-3k2.pages.dev/news/564fa0b8820c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Should World Models Be Evaluated? A Decision-Making-Centric Position arXiv:2606.15032v1 Announce Type: new Abstract: World models have rapidly become one of the central abstractions in modern AI. Yet the term now refers to several different objects: action-conditioned https://pulse-3k2.pages.dev/news/d18db62147d3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Transformers Learn the Mestre-Nagao Heuristic arXiv:2606.15036v1 Announce Type: new Abstract: We train a two-layer transformer encoder to classify rational elliptic curves $E/\mathbb{Q}$ of conductor $\leq 10000$ as either rank 0 or rank 1 from t https://pulse-3k2.pages.dev/news/c4c3a42fa353 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Temporal Difference Learning for Diffusion Models arXiv:2606.15048v1 Announce Type: new Abstract: Diffusion models are typically trained with objectives that focus on local denoising targets at individual time steps (or adjacent pairs), which do not https://pulse-3k2.pages.dev/news/6e834c11af59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-conforming Latent Twins arXiv:2606.15053v1 Announce Type: new Abstract: Surrogate models are central to scientific machine learning, where they enable fast prediction, simulation, inference, and control for complex physical https://pulse-3k2.pages.dev/news/e25e11b2df77 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Size Doesn't Matter: Cosine-Scored Sparse Autoencoders arXiv:2606.15054v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) detect features via inner product, so a feature's activation scales with both its directional alignment and the input's norm. https://pulse-3k2.pages.dev/news/735400e8e10c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine Learning and the Random Walk Puzzle: Forecasting the CAD/USD Exchange Rate with Expanding Window Evaluation and SHAP Interpretability arXiv:2606.15058v1 Announce Type: new Abstract: This study examines whether machine learning (ML) models can outperform the naive random walk benchmark in forecasting the monthly USD/CAD exchange rate https://pulse-3k2.pages.dev/news/87c098af757e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Phase-Localized Curation Does Not Help: A Negative Result on Per-Phase Metric Selection for Demonstration Filtering arXiv:2606.15064v1 Announce Type: new Abstract: Manipulation demonstrations have temporal phase structure, and a natural hypothesis is that demonstration-curation metrics should be applied within phas https://pulse-3k2.pages.dev/news/eaa0c6626688 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TriAdReview: Triangular Adversarial Review Architecture for Multi-Model Technical Document Generation arXiv:2606.15074v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for technical document generation, yet single-model outputs often suffer from over-engineering, secur https://pulse-3k2.pages.dev/news/55c9bf61a26c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An Integrable Token Mixing Layer from the Generalized Yang Baxter Equation arXiv:2606.15085v1 Announce Type: new Abstract: The YB Mixer is a sequence token mixing layer derived from free fermion and generalized Yang Baxter structures. It applies a core principle from integra https://pulse-3k2.pages.dev/news/259cf485d96c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png High-Dimensional Random Projection for Activation Steering in Language Models arXiv:2606.15092v1 Announce Type: new Abstract: Activation steering has emerged as a key methodology for controlling the behavior of large language models (LLMs). Existing difference-in-means based me https://pulse-3k2.pages.dev/news/8a8cd96e101e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diversity-Driven Offline Multi-Objective Optimization via Nested Pareto Set Learning arXiv:2606.15115v1 Announce Type: new Abstract: Multi-objective optimization (MOO) has emerged as a powerful approach to solving complex optimization problems involving multiple objectives. In many pr https://pulse-3k2.pages.dev/news/6fc555f29ece 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Accuracy: Measuring Bias Acknowledgment in Chain-of-Thought Reasoning for Responsible AI Evaluation arXiv:2606.15127v1 Announce Type: new Abstract: Reasoning models are increasingly used in settings where the final answer is not the only object of review: educational tools may show students intermed https://pulse-3k2.pages.dev/news/59b2e4996e41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Contextual Bandits for Maximizing Stimulated Word-of-Mouth Rewards arXiv:2606.15146v1 Announce Type: new Abstract: Stimulated word-of-mouth is a strategy that promotes information sharing through prompts or incentives. Optimizing stimulated word-of-mouth through soci https://pulse-3k2.pages.dev/news/9de6cf42eb4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png False Sense of Safety in Selective Signal Classification: Auditing Bound Tightness and Exchangeability for Risk Control arXiv:2606.15153v1 Announce Type: new Abstract: Selective prediction with distribution-free risk control promises that, with confidence 1-delta over the calibration draw, the error rate of accepted in https://pulse-3k2.pages.dev/news/f8963b3c435d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Semantic Reasoning in Medicine: The Role of Knowledge Graphs Across Five Key Domains arXiv:2606.15155v1 Announce Type: new Abstract: Knowledge graphs (KGs) have emerged as a promising solution for integrating and reasoning over complex biomedical and clinical data in healthcare. By re https://pulse-3k2.pages.dev/news/5516af8a79aa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PolyKV: Heterogeneous Retention and Allocation for KV Cache Compression arXiv:2606.15157v1 Announce Type: new Abstract: KV cache compression is essential for reducing the memory cost of long-context large language model inference. Existing approaches, however, typically a https://pulse-3k2.pages.dev/news/676f4f9d1f9d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards a Unified Generative Model for Scarce Time Series with Domain Experts arXiv:2606.15172v1 Announce Type: new Abstract: Synthesizing realistic time series with generative models has wide-ranging applications in real-world scenarios. Despite recent progress, most existing https://pulse-3k2.pages.dev/news/495da749074b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling arXiv:2606.15197v1 Announce Type: new Abstract: Optimization modeling is inherently hierarchical, requiring a precise sequence of symbolic commitments. Traditional learning-based automated optimizatio https://pulse-3k2.pages.dev/news/e60cddfff4e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Controlled Dynamics Attractor Transformer arXiv:2606.15207v1 Announce Type: new Abstract: Transformer architectures have dramatically advanced representation learning and inference in deep models through self-attention mechanisms. In parallel https://pulse-3k2.pages.dev/news/48fd42335be6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model arXiv:2606.15219v1 Announce Type: new Abstract: In this work, we tackle the following question: Can neural networks trained with gradient-based methods achieve the optimal computational-statistical tr https://pulse-3k2.pages.dev/news/04166ac6b2ec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Edu-Theater: A Data-Efficient Agent Framework for Scalable Learner Behavior Simulation through Staging Roll-Call arXiv:2606.15225v1 Announce Type: new Abstract: Large-scale learner-task interaction data are crucial for intelligent educational systems but are costly to collect and constrained by privacy and learn https://pulse-3k2.pages.dev/news/f05eeb179a1d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EnvShip-Bench: An Environment-Enhanced Benchmark for Short-Term Vessel Trajectory Prediction arXiv:2606.15240v1 Announce Type: new Abstract: Vessel trajectory prediction is important for intelligent shipping, maritime surveillance, and navigation safety. However, existing public maritime AIS https://pulse-3k2.pages.dev/news/c9c25aa7c1c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png M-CTX: Exact and Scalable Spatial Context Retrieval for Trajectory Analytics arXiv:2606.15244v1 Announce Type: new Abstract: Modern trajectory predictors increasingly condition on external spatial context, such as map geometry, signed distance fields (SDFs), and nearby moving https://pulse-3k2.pages.dev/news/c197c5016e27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts arXiv:2606.15247v1 Announce Type: new Abstract: The asymptotic behaviour of Monte Carlo Exploring Starts (MCES) is a long-standing open question in reinforcement learning, even in the tabular setting. https://pulse-3k2.pages.dev/news/c841698e3898 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI for Social Good: An Investigation of the Causal Relationship Between Environmental Regulations and Their Effects on Air Pollution in London, UK arXiv:2606.15257v1 Announce Type: new Abstract: Air pollution regulation is central to urban public health governance, but estimating its effects is difficult because policies are implemented non-rand https://pulse-3k2.pages.dev/news/91c0a7b15026 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trust-Region Diffusion Policies for Massively Parallel On-Policy RL arXiv:2606.15260v1 Announce Type: new Abstract: Reinforcement learning with massively parallel simulations has become a standard framework for developing robust, deployable policies; however, most exi https://pulse-3k2.pages.dev/news/6eb7463d8fdf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When to use what Schatten-$p$ norm in deep learning? arXiv:2606.15268v1 Announce Type: new Abstract: Schatten-$\infty$ based optimizers such as Muon have shown promising empirical performance, but there remains seemingly conflicting observations regardi https://pulse-3k2.pages.dev/news/bba39b2f5caf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RECTOR: Masked Region-Channel-Temporal Modeling for Affective and Cognitive Representation Learning arXiv:2606.15278v1 Announce Type: new Abstract: Affective and cognitive disorders manifest as distributed, time-varying brain network dynamics across regions, channels, and time, challenging robust re https://pulse-3k2.pages.dev/news/39b21dfcf58f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Structural Anomaly Detection: From Decision Boundaries to Projection Operators arXiv:2606.15280v1 Announce Type: new Abstract: Most existing anomaly detection methods rely on estimating a probability density or learning an enclosing decision boundary, implicitly assuming that no https://pulse-3k2.pages.dev/news/d6a45ca1b97a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid NARX-LLM for Greenland Iceberg Discharge: Prompt-Driven Residual Correction arXiv:2606.15288v1 Announce Type: new Abstract: Greenland iceberg discharge exhibits complex nonlinear dynamics with limited observability, challenging traditional predictive models. We present a Hybr https://pulse-3k2.pages.dev/news/228f9b42031f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Discovering Lattice Reduction Strategies via Self-Play arXiv:2606.15301v1 Announce Type: new Abstract: The Lenstra-Lenstra-Lov\'asz (LLL) algorithm is a seminal contribution to computer science used for lattice basis reduction, yet its polynomial-time out https://pulse-3k2.pages.dev/news/2ac023fe2b68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LatentGym: A Testbed For Cross-Task Experiential Learning With Controllable Latent Structure arXiv:2606.15306v1 Announce Type: new Abstract: We envision continually learning agentic systems that become more useful over time: as they encounter sequences of related tasks, they should infer the https://pulse-3k2.pages.dev/news/d1ad2224387a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction arXiv:2606.15314v1 Announce Type: new Abstract: Industrial retrofit planning depends on structured operational data rather than free text: planners must estimate whether a newly registered prototype w https://pulse-3k2.pages.dev/news/952ce7e17ca8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design arXiv:2606.15327v1 Announce Type: new Abstract: Diffusion Language Models (DLMs) have demonstrated strong scaling capacity as alternatives to autoregressive language models. However, their performance https://pulse-3k2.pages.dev/news/107ce14af2f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures arXiv:2606.15332v1 Announce Type: new Abstract: The signature transform is a principled feature map for continuous-time paths, valued for its uniqueness and universality. Recovering a path from its tr https://pulse-3k2.pages.dev/news/abc025675996 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DiRecT: Safe Diffusion-Based Planning via Receding-Horizon Denoising arXiv:2606.15359v1 Announce Type: new Abstract: Diffusion models have emerged as powerful tools for planning and control by learning multimodal distributions over actions and trajectories. Yet reliabl https://pulse-3k2.pages.dev/news/7bdb942268e1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Repeated Bilateral Trade: The Quest for Fairness arXiv:2606.15369v1 Announce Type: new Abstract: We study repeated bilateral trade from a fairness perspective. At each round, a fresh seller-buyer pair arrives, and the platform posts a price before o https://pulse-3k2.pages.dev/news/576def1e972f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Earthquake Wave Arrival Time Picking from Labels with Inaccuracies arXiv:2606.15377v1 Announce Type: new Abstract: Inaccurately labeled training data, or "label noise", poses a significant threat to the integrity of supervised machine learning models. This corruption https://pulse-3k2.pages.dev/news/5fdada5dc326 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Compositional Framework for Open-ended Intelligence arXiv:2606.15386v1 Announce Type: new Abstract: Open-ended intelligence is the capacity to adapt to novel problems and environments that are substantially different from those in training. We formaliz https://pulse-3k2.pages.dev/news/53fb94177066 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constitutional Value Potentials: reading and steering internal priority margins in language models arXiv:2606.15420v1 Announce Type: new Abstract: A constitution tells a language model what to value, but little tells us whether it does. Adherence is judged from outputs, and output evidence is most https://pulse-3k2.pages.dev/news/f5922eebd50c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Post-Launch Capability Expansion of Vision-Language Models via Prompting for On-Orbit Spacecraft Inspection arXiv:2606.15427v1 Announce Type: new Abstract: Spaceborne inspection systems often deploy perception models prior to launch, after which updating model weights or expanding fixed label sets becomes o https://pulse-3k2.pages.dev/news/de1d416c9c1e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Models arXiv:2606.15436v1 Announce Type: new Abstract: Respiratory acoustic foundation models (FMs) excel at cough classification, yet their ability to predict continuous health quantities from cough audio r https://pulse-3k2.pages.dev/news/80a94b698ea2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation arXiv:2606.15452v1 Announce Type: new Abstract: Rare events in time series are critical to model but hard to learn due to data scarcity. Current generative models struggle with extreme values. We obse https://pulse-3k2.pages.dev/news/505d0fe26411 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding Diversity Collapse in RLVR via the Lens of Overtraining arXiv:2606.15455v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has become a key approach for enhancing the reasoning abilities of large language models. However, https://pulse-3k2.pages.dev/news/1816e6f88861 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bayesian 3D Steerable CNNs: Enabling Equivariance and Uncertainty Quantification Simultaneously arXiv:2606.15479v1 Announce Type: new Abstract: Steerable convolutional neural networks (Steerable-CNNs) guarantee SE(3)-equivariance by parameterizing kernels as linear combinations of steerable basi https://pulse-3k2.pages.dev/news/636b529227ab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Model Stealing Through the Lens of Model Multiplicity arXiv:2606.15493v1 Announce Type: new Abstract: Model stealing attacks, where adversaries create high-fidelity surrogate models, are a significant threat to the intellectual property of machine learni https://pulse-3k2.pages.dev/news/91f88d7e296c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Data-Efficient Cross-Device Generalization of Grad-Shafranov Equilibria via Transfer Learning Neural Operator arXiv:2606.15512v1 Announce Type: new Abstract: Real-time reconstruction of magnetohydrodynamic equilibria is essential for plasma shaping, stability assessment and feedback control in magnetic confin https://pulse-3k2.pages.dev/news/8976963adb26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance arXiv:2606.15531v1 Announce Type: new Abstract: Fine-tuning aligned language models on benign tasks (e.g. math tutoring) systematically breaks safety guardrails, even when training data contains no ha https://pulse-3k2.pages.dev/news/310b7e8a6bbf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Bifurcation Theory Framework for Gradient Descent on the Edge of Stability arXiv:2606.15551v1 Announce Type: new Abstract: The Edge of Stability (EoS) phenomenon, where gradient descent operates with sharpness exceeding the classical convergence threshold yet the loss decrea https://pulse-3k2.pages.dev/news/e458bb7d9c66 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distilling Drifting Transformers with Representation Autoencoders arXiv:2606.15553v1 Announce Type: new Abstract: Representation Autoencoders (RAEs) have improved diffusion and flow models by semantically richer latent space owing to the strongly label-wise clustere https://pulse-3k2.pages.dev/news/0ef30f9dd020 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Decision-Theoretic View of Test-Time Training: When, How Far, and Which Directions to Adapt arXiv:2606.15569v1 Announce Type: new Abstract: Test-time training (TTT) adapts a pretrained model to each prompt via parameter updates, improving accuracy under pretraining-to-test distribution shift https://pulse-3k2.pages.dev/news/2df5390b17d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Localizing Credit at the Divergence: Path-Conditioned Self-Distillation for LLM Reasoning arXiv:2606.15576v1 Announce Type: new Abstract: Reinforcement learning from verifiable rewards assigns a single scalar to each rollout, leaving token-level credit assignment underspecified in long rea https://pulse-3k2.pages.dev/news/672441eef03b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Is Code Better Than Language for Algorithmic Reasoning arXiv:2606.15589v1 Announce Type: new Abstract: For tool-augmented language models, comparing natural-language reasoning with code-execution pipelines is difficult because the comparison changes both https://pulse-3k2.pages.dev/news/26edfb600f29 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MoECa: Aligning Feature Reuse with Expert Decomposition in Diffusion Transformers arXiv:2606.15615v1 Announce Type: new Abstract: Diffusion Transformers with Mixture-of-Experts (DiT-MoE) improve model capacity under sparse activation, but diffusion inference is still bottlenecked b https://pulse-3k2.pages.dev/news/d5e7bfdc6785 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Re-feeding Is Not Replaying: Measuring Replay Noise in Counterfactual Token-Credit Estimation arXiv:2606.15621v1 Announce Type: new Abstract: Per-token counterfactual credit estimation asks which token in a language-model rollout caused the final answer to be right or wrong: cut the transcript https://pulse-3k2.pages.dev/news/238cf0df5fd6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Surprise-Guided MergeSort: Budget-Efficient Human-in-the-Loop Ranking via Adaptive Comparison Scheduling arXiv:2606.15623v1 Announce Type: new Abstract: Pairwise comparison is the gold standard for subjective ranking tasks; however, exhaustive annotation requires a massive number of human comparisons ($O https://pulse-3k2.pages.dev/news/20e95e698bab 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Conflict-Aware Federated Fine-Tuning of Large Language Models with Mixture-of-Experts arXiv:2606.15625v1 Announce Type: new Abstract: The continuous scaling of large language models (LLMs) incurs prohibitive computational costs, making Mixture-of-Experts (MoE) a scalable alternative fo https://pulse-3k2.pages.dev/news/e9c34f088931 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Formalizing and Mitigating Structural Distortion in LLM Attention for Zero-Shot Graph Reasoning arXiv:2606.15633v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown promise for reasoning over Text-Attributed Graphs (TAGs). However, applying LLMs to graphs requires linearizing https://pulse-3k2.pages.dev/news/436c5196390d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HAPI-EP: Towards Hybrid, Adaptive, and Predictive Digital Twins of Cardiac Electrophysiology arXiv:2606.15637v1 Announce Type: new Abstract: A digital twin (DT) of a patient-specific heart offers significant potential in personalized medicine. However, its rapid and dynamic adaptation to an i https://pulse-3k2.pages.dev/news/fa7677b666bc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Agent Framework for Audit Risk Assessment with Explicit Uncertainty and Evidence Conflict Modeling arXiv:2606.15640v1 Announce Type: new Abstract: Audit risk assessment increasingly benefits from combining heterogeneous evidence sources, yet existing approaches typically produce point predictions w https://pulse-3k2.pages.dev/news/f1459edbc5c1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CIWI-CKT: Chaos-Informed Wave Interference Feature Fusion and Cross-City Knowledge Transfer for Traffic Flow Forecasting arXiv:2606.15642v1 Announce Type: new Abstract: Accurate traffic flow prediction remains challenging in cross-city, data-scarce scenarios where limited historical data hinders model generalisation. Th https://pulse-3k2.pages.dev/news/e31a3856b159 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MosaicQuant: Inlier-Outlier Disaggregation for Unified 4-Bit LLM Quantization arXiv:2606.15652v1 Announce Type: new Abstract: 4-bit quantization significantly reduces the memory footprint and accelerates the inference of large language models (LLMs). However, its limited bit-wi https://pulse-3k2.pages.dev/news/2483f75ab963 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Z-Plane Neural Networks: Bounded Geometric Activation Replaces ReLU and LayerNorm arXiv:2606.15669v1 Announce Type: new Abstract: Modern deep neural networks rely on Euclidean scalar activations (e.g., ReLU) and global normalization techniques (e.g., LayerNorm) to prevent gradient https://pulse-3k2.pages.dev/news/8ded81f752ad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Reservoir Attention Network: Cross-Pass State in Pretrained Transformers via Content-Addressable Reservoir Injection arXiv:2606.15678v1 Announce Type: new Abstract: A feasibility and dynamics study of the Reservoir Attention Network (RAN), an architecture that injects a fixed, randomly-initialized reservoir into the https://pulse-3k2.pages.dev/news/1604a2fd3a24 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReQAT: Achieving Full-Precision Reasoning Accuracy with 4-bit Floating-Point Quantization-Aware Training arXiv:2606.15682v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) achieve strong problem-solving through long chain-of-thought, but their deployment is constrained by the high cost of full https://pulse-3k2.pages.dev/news/280c077957b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Fidelity SINDy: Sparse Discovery of Nonlinear Dynamical Systems with Fidelity-Weighted Measurements arXiv:2606.15690v1 Announce Type: new Abstract: Data from simulations and experiments are rarely noise-free and often exhibit heterogeneous levels of fidelity. Measurement uncertainty may vary across https://pulse-3k2.pages.dev/news/0c00d3c63aa9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Generator Replay Degrades: Projected Rehearsal Orchestration for Heterogeneous Federated Class-Incremental Learning arXiv:2606.15695v1 Announce Type: new Abstract: Federated class-incremental learning (FCIL) becomes substantially harder when clients observe different label subsets, progress through tasks at differe https://pulse-3k2.pages.dev/news/c8e973129348 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Robust Transformer-Based One-Step Stock Index Forecasting via Shifted Data Augmentation arXiv:2606.15701v1 Announce Type: new Abstract: Transformers have shown remarkable success in sequence modeling, yet their direct application to financial time series remains challenging due to noisy https://pulse-3k2.pages.dev/news/f14c3a77d2e2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How to Score Experts for One-Shot MoE Expert Pruning: A Unified Formulation and Selection Principle arXiv:2606.15716v1 Announce Type: new Abstract: Mixture-of-Experts (MoE) language models reduce per-token computation through sparse expert activation, yet deployment still requires storing the full e https://pulse-3k2.pages.dev/news/ffd1814b9cf9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset arXiv:2606.15730v1 Announce Type: new Abstract: Backdoor unlearning aims to remove a malicious trigger behavior from a deployed model while preserving clean utility. We study the update-free inference https://pulse-3k2.pages.dev/news/2a618a91ee53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Unsupervised Learning for Missing Modalities in Multimodal Learning arXiv:2606.15743v1 Announce Type: new Abstract: This paper addresses the missing-modality challenge in multi-modal learning by introducing Unsupervised Learning for Missing Modalities in Multi-Modal L https://pulse-3k2.pages.dev/news/14b428a3b1ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Correlation to Causation in Lane Change Prediction for Automated Driving: A Causal Explanation Framework arXiv:2606.15756v1 Announce Type: new Abstract: Lane-change prediction is a central task in intelligent vehicles, where early maneuver anticipation can support safer decision-making. However, many exi https://pulse-3k2.pages.dev/news/21eac635e47e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Data Manifold under the Microscope arXiv:2606.15760v1 Announce Type: new Abstract: A significant gap exists between theory and practice in deep learning. Generalization and approximation error bounds are often derived for simplified mo https://pulse-3k2.pages.dev/news/d958ca85ed02 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Visualizing Uncertainty: Spatial Maps of Missing and Conflicting Evidence in Deep Learning arXiv:2606.15767v1 Announce Type: new Abstract: Understanding when and why deep neural networks are uncertain is crucial for deploying reliable machine learning systems in safety-critical domains. Whi https://pulse-3k2.pages.dev/news/69ff7b0a144e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bayesian Networks with Latent Time Embedding for Stage-Aware Causal Modeling of Alzheimer's Disease Progression arXiv:2606.15784v1 Announce Type: new Abstract: Alzheimer's disease (AD) progression is often described through the amyloid-tau-neurodegeneration, or AT(N), cascade. However, most longitudinal models https://pulse-3k2.pages.dev/news/329fd6d844bf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Proximal Policy Optimization for Amortized Discrete Sampling arXiv:2606.15793v1 Announce Type: new Abstract: This paper explores policy gradient algorithms for training stochastic policies to sample from structured discrete probability distributions under the G https://pulse-3k2.pages.dev/news/d80aeb74f5ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mean-Field Parallel Decoding for Discrete Diffusion Language Models arXiv:2606.15805v1 Announce Type: new Abstract: Discrete diffusion language models enable parallel token generation, offering a pathway to low-latency decoding. However, selecting tokens independently https://pulse-3k2.pages.dev/news/c3253c6a7dee 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Continuous Cross-Domain Traffic State Prediction via Memory-Augmented Graph Liquid Time-Constant Networks arXiv:2606.15807v1 Announce Type: new Abstract: Traffic state prediction is a fundamental task in intelligent transportation systems. In practical applications, some regions suffer from limited traffi https://pulse-3k2.pages.dev/news/733abc295d5c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Brownian Kernel Ladders arXiv:2606.15812v1 Announce Type: new Abstract: Constructing mathematically tractable function spaces that capture hierarchical compositional representations remains a central challenge in statistical https://pulse-3k2.pages.dev/news/ac2e6e37724c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums arXiv:2606.15832v1 Announce Type: new Abstract: Empirical risk minimization on massive datasets naturally exhibits a nested double finite-sum structure, where $N=nm$ total samples are logically or phy https://pulse-3k2.pages.dev/news/a7519db47014 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Wasserstein Convergence of ODE-Based Samplers in Decentralized Diffusion Model via Velocity Field Decomposition arXiv:2606.15835v1 Announce Type: new Abstract: Diffusion models have achieved impressive empirical success in generative tasks, and their convergence theory is now relatively well understood. Motivat https://pulse-3k2.pages.dev/news/dbd109ac13bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png David vs. Goliath in Next Activity Prediction: Argmax vs. LSTM, Transformer, and LLM arXiv:2606.15868v1 Announce Type: new Abstract: Next activity prediction (NAP) is a cornerstone of predictive process monitoring (PPM), enabling organizations to move from retrospective analysis to pr https://pulse-3k2.pages.dev/news/4ed2090ee213 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes arXiv:2606.15887v1 Announce Type: new Abstract: Large language model (LLM) systems are increasingly proposed to assist peer review, yet most evaluations judge the prose of machine-generated review tex https://pulse-3k2.pages.dev/news/da7cdee96bec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scalar-pathway fidelity improves physical accuracy in short-range equivariant interatomic potentials arXiv:2606.15892v1 Announce Type: new Abstract: Accurate interatomic potentials enable molecular dynamics of materials, molecules, and interfaces beyond density-functional-theory length and time scale https://pulse-3k2.pages.dev/news/5110e360d456 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Topological Flow Matching arXiv:2606.15897v1 Announce Type: new Abstract: Flow matching is a powerful generative modeling framework, valued for its simplicity and strong empirical performance. However, its standard formulation https://pulse-3k2.pages.dev/news/ae450cff955e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On-Policy Distillation with Curriculum Turn-level Guidance for Multi-turn Agents arXiv:2606.15912v1 Announce Type: new Abstract: Multi-turn agents that plan, invoke tools, and interact with environments offer a promising paradigm for solving complex tasks, yet their capabilities t https://pulse-3k2.pages.dev/news/14ede86feb5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PhoneHarness: Harnessing Phone-Use Agents through Mixed GUI, CLI, and Tool Actions arXiv:2606.14832v1 Announce Type: new Abstract: Phone agents are increasingly expected to complete real mobile workflows rather than merely predict the next screen action. However, much of the current https://pulse-3k2.pages.dev/news/c657e50fe931 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating the Robustness of Proof Autoformalization in Lean 4 arXiv:2606.14867v1 Announce Type: new Abstract: Proof autoformalization aims to translate a mathematical informal proof written in natural language into a formal proof in a formal language such as Lea https://pulse-3k2.pages.dev/news/dae06d429f42 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Context Compression Is Not One Thing: Readable Symbolic Re-expression vs. Coherent Summary at Matched Budget arXiv:2606.14875v1 Announce Type: new Abstract: We study context compression for multi-hop question answering with small language models. We propose Telegraph English, a readable symbolic format that https://pulse-3k2.pages.dev/news/e34fe3ea5c59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Simplifying the Modeling of Arbitrary Conditionals in Natural Language arXiv:2606.14943v1 Announce Type: new Abstract: Causal Transformers model sequences through an autoregressive factorization of the joint distribution, which enables efficient left-to-right decoding an https://pulse-3k2.pages.dev/news/6176c16e761b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CoRA: Confidence-Rationale Alignment for Reliable Chain-of-Thought Reasoning arXiv:2606.14961v1 Announce Type: new Abstract: Chain-of-thought (CoT) reasoning can improve LLM performance, but high answer confidence may be misleading when the accompanying CoT rationale is plausi https://pulse-3k2.pages.dev/news/ccd6d905f844 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning arXiv:2606.15007v1 Announce Type: new Abstract: We introduce Nemotron 3 Ultra, a 550 billion total and 55 billion active parameter Mixture-of-Experts Hybrid Mamba-Attention language model. We pre-trai https://pulse-3k2.pages.dev/news/82b94f8f554c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Are Online Skill and Memory Modules Always Worth Their Tokens? A Budget-Constrained Study of Web Agents arXiv:2606.15017v1 Announce Type: new Abstract: Online web agents often augment a base actor with memory, workflow, or skill modules. These modules can improve performance, but they also consume test- https://pulse-3k2.pages.dev/news/4cbb5fbfa81c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deep Temporal Modeling and Ensemble Fusion for Multimodal Emotion Recognition from Physiological Signals arXiv:2606.15026v1 Announce Type: new Abstract: Physiological stress and emotion recognition are important for health monitoring and affective computing. In this work, we present a comprehensive evalu https://pulse-3k2.pages.dev/news/4601935b70c7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ReportQA: QA-Based Radiology Report Evaluation arXiv:2606.15037v1 Announce Type: new Abstract: Radiology report evaluation is essential for advancing automated report generation. Natural language generation metrics have limited clinical relevance. https://pulse-3k2.pages.dev/news/773b2f7a9529 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Equity with Efficiency: An Empirical Study of Tokenizers for Multilingual Large Language Models arXiv:2606.15044v1 Announce Type: new Abstract: Multilingual large language models (LLMs) depend on subword tokenization to bridge discrete text and continuous neural representation. State-of-the-art https://pulse-3k2.pages.dev/news/5c8dd7c4f88d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Practical Evaluation Method for Long-Form Simultaneous Speech-to-Speech Translation arXiv:2606.15059v1 Announce Type: new Abstract: Simultaneous speech-to-speech translation (SimulS2ST) enables real-time cross-lingual communication, but existing evaluation has focused largely on shor https://pulse-3k2.pages.dev/news/c8ca3e0da8b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CoCoGEC: Counterfactual Generation for Robust Grammatical Error Correction arXiv:2606.15069v1 Announce Type: new Abstract: Grammatical error correction (GEC) systems are usually trained and evaluated on GEC benchmarks, but their performance often drops sharply once the surro https://pulse-3k2.pages.dev/news/1778533967b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Stop When Further Reasoning Won't Help: Attention-State Adaptive Generation in Reasoning Models arXiv:2606.15070v1 Announce Type: new Abstract: By incorporating test-time compute scaling, large reasoning models (LRMs) can solve complex problems through explicit chain-of-thought (CoT) reasoning p https://pulse-3k2.pages.dev/news/87055bce6c7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale arXiv:2606.15079v1 Announce Type: new Abstract: Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remainin https://pulse-3k2.pages.dev/news/6809f18ca5fa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AdaMame: A Training Recipe for Adaptive Multilingual Reasoning arXiv:2606.15080v1 Announce Type: new Abstract: While Large Reasoning Models (LRMs) show strong performance in English, they often fail to reason in the language of the query, a phenomenon known as la https://pulse-3k2.pages.dev/news/5769f61a6bbd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Cognitive Graphs Meet LLMs: BDEI Cognitive Pathways for Panic Emotional Arousal Prediction arXiv:2606.15121v1 Announce Type: new Abstract: Predicting individual panic emotional arousal timing before manifestation is essential for proactive emergency intervention. Existing methods incorporat https://pulse-3k2.pages.dev/news/4f3db88ddbc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PACUTE: Phonology-, Affix-, and Character-level Understanding of Tokens for Filipino arXiv:2606.15144v1 Announce Type: new Abstract: Large language models (LLMs) process text as sequences of subword tokens, which can obscure the character-level and morphological structure that underli https://pulse-3k2.pages.dev/news/d163b6b3de4b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Agents Read the Room? Benchmarking Visual Social Intelligence in Multimodal Simulation arXiv:2606.15152v1 Announce Type: new Abstract: Social interaction depends on both language and visible social signals, such as facial expressions, posture, gaze, and emotional shifts. Yet existing so https://pulse-3k2.pages.dev/news/1c2f80f694a8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Layer Importance in Layer-wise Sparsity: An Inter-Layer Perturbation-Absorption Perspective arXiv:2606.15161v1 Announce Type: new Abstract: The considerable layer-wise redundancy in large language models (LLMs) has established non-uniform sparsity allocation across layers as the standard pru https://pulse-3k2.pages.dev/news/1fa0127a259a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AmchiBias: Measuring Stereotypical Bias in Goan Identity Groups with a Minimal Pair Dataset in English and Konkani arXiv:2606.15191v1 Announce Type: new Abstract: Socio-cultural stereotypical bias is an important consideration in the development and deployment of NLP systems. It is however often considered only at https://pulse-3k2.pages.dev/news/8de8c90cbed2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spokes: Optimizing for Diverse Pretraining Data Selection arXiv:2606.15216v1 Announce Type: new Abstract: Diversity plays a critical role in data selection, improving performance under fixed data budgets by reducing redundancy and repetition. However, optimi https://pulse-3k2.pages.dev/news/3cf7488b3914 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating and Preserving Lexical Stress in English-to-Chinese Speech-to-Speech Translation arXiv:2606.15266v1 Announce Type: new Abstract: Speech-to-speech translation (S2ST) systems have achieved impressive progress in semantic accuracy and speech naturalness. However, the cross-lingual tr https://pulse-3k2.pages.dev/news/9f52f64e4c34 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic Memes arXiv:2606.15307v1 Announce Type: new Abstract: Hateful and propagandistic memes exploit the interplay between images and text to convey harmful intent that neither modality reveals alone. Although th https://pulse-3k2.pages.dev/news/dd1965d35fec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Prior over Evidence: Stereotype-Driven Diagnosis in LLM-Based L2 Pronunciation Feedback arXiv:2606.15325v1 Announce Type: new Abstract: Large language models are increasingly deployed for written pronunciation feedback in second-language (L2) English learning, under the assumption that t https://pulse-3k2.pages.dev/news/0c5830934b95 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Replay What Matters: Off-Policy Replay for Efficient LLM Reinforcement Unlearning arXiv:2606.15333v1 Announce Type: new Abstract: LLM unlearning has emerged as a cost-effective alternative to full retraining for removing hazardous knowledge from pretrained models while preserving g https://pulse-3k2.pages.dev/news/402af04c65f2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Privacy-Preserving Text Sanitization for Distributed Agents Collaboration via Disentangled Representations arXiv:2606.15335v1 Announce Type: new Abstract: When distributed agents exchange text across organizational boundaries, privacy leakage arises not only from explicit identifiers but also from distribu https://pulse-3k2.pages.dev/news/c4a6283edbca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus arXiv:2606.15345v1 Announce Type: new Abstract: Deep research agents are increasingly evaluated on their ability to search for evidence, reason over retrieved sources, and produce grounded answers. Ex https://pulse-3k2.pages.dev/news/7eb46f304214 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking the Role of Efficient Attention in Hybrid Architectures arXiv:2606.15378v1 Announce Type: new Abstract: Modern language models increasingly adopt hybrid architectures that combine full attention with efficient attention modules, such as sliding-window atte https://pulse-3k2.pages.dev/news/5329479d9227 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Not All Skills Help: Measuring and Repairing Agent Knowledge arXiv:2606.15390v1 Announce Type: new Abstract: LLM agents can improve without weight updates by accumulating natural-language skills from experience, but current systems entrust every decision about https://pulse-3k2.pages.dev/news/422f50a3f40e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment arXiv:2606.15396v1 Announce Type: new Abstract: Malicious content generated from large language models (LLMs) could pose severe safety risks and ethical concerns. While existing LLM safety guardrails https://pulse-3k2.pages.dev/news/ec7cd884025b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png T-Mem: Memory That Anticipates, Not Archives arXiv:2606.15405v1 Announce Type: new Abstract: Long-term memory is essential for conversational agents to remain coherent across extended dialogues, follow through on commitments made many sessions e https://pulse-3k2.pages.dev/news/16fa63b56046 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Few-Shot Biomedical Relation Extraction with Large Language Models: A Viable Alternative to Supervised Learning? arXiv:2606.15412v1 Announce Type: new Abstract: Biomedical relation extraction (BioRE) is a key step in transforming biomedical literature into structured knowledge. However, most existing approaches https://pulse-3k2.pages.dev/news/efdc87a81958 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction arXiv:2606.15416v1 Announce Type: new Abstract: Grammatical Error Correction (GEC) involves detecting and correcting the wrong usage of grammar. While large language models (LLMs) with in-context lear https://pulse-3k2.pages.dev/news/0a8e47245cd9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering arXiv:2606.15419v1 Announce Type: new Abstract: Objective: To enhance the accuracy, interpretability, and robustness of large language models (LLMs) in medical question answering (MedQA). Method: We d https://pulse-3k2.pages.dev/news/870d3e43d7a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pepti-Agent: An AI Agent for Peptide Design and Optimization arXiv:2606.15422v1 Announce Type: new Abstract: Therapeutic peptides occupy a valuable design space between small molecules and biologics, but their development requires satisfying several competing c https://pulse-3k2.pages.dev/news/5ade27a7b49e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Transfer Learning for FHIR Questionnaire Terminology Binding arXiv:2606.15449v1 Announce Type: new Abstract: Electronic prior authorization workflows require FHIR Questionnaire items to carry LOINC codes, yet most items in the HL7 Da Vinci CDS-Library lack thes https://pulse-3k2.pages.dev/news/b3262dc0d772 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ESBMC-PLC: Formal Verification of IEC 61131-3 Ladder Diagram Programs Using SMT-Based Model Checking arXiv:2606.15461v1 Announce Type: new Abstract: PLCs execute safety-critical programs across industrial sectors. The dominant PLC notation, ladder diagram (LD) per IEC 61131-3, remains absent from for https://pulse-3k2.pages.dev/news/ac116a48ad60 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluative Judgement in Teaching AI-based Translation: A Class-room Case Study of AI-Mediated Translation and Post-Editing arXiv:2606.15483v1 Announce Type: new Abstract: Drawing on 23 anonymized student pro-jects from a fourth-year Machine Transla-tion and Post-editing course in a BA-level translation programme, this pap https://pulse-3k2.pages.dev/news/8bce3c4ac43c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AthDGC: An Open Diachronic Greek Treebank with Indo-European Parallels arXiv:2606.15510v1 Announce Type: new Abstract: AthDGC ("Athens-PROIEL") is an open, end-to-end workflow and dataset. It is, to the best of our knowledge, the first openly licensed dependency-parsed t https://pulse-3k2.pages.dev/news/875fcc8092be 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SHARD: Safe and Helpful Alignment via Self-Reframing Distillation arXiv:2606.15517v1 Announce Type: new Abstract: Large language models often struggle with sensitive prompts. They may refuse outright, provide generic safety boilerplate, or fail to address the user's https://pulse-3k2.pages.dev/news/8eeeb276e9d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Emergent retokenization symmetry in large language models: phenomenology and applications arXiv:2606.15521v1 Announce Type: new Abstract: Tokenization introduces representational redundancy: under a fixed token vocabulary, every byte string admits many valid token encodings, or segmentatio https://pulse-3k2.pages.dev/news/59b362c2785f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EIBench: A Simulator-Based Benchmark and Turn-Credit RL for Emotion Management arXiv:2606.15532v1 Announce Type: new Abstract: Emotional intelligence (EI) in Large Language Models (LLMs) is often evaluated through static understanding tasks or single-response dialogue generation https://pulse-3k2.pages.dev/news/ca62915ca594 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM-Assisted Stance Detection in Scientific Discourse: A Test Case in Bayesian Cognitive Science arXiv:2606.15566v1 Announce Type: new Abstract: Qualitative coding is central to social science, but expert annotation is difficult to scale. LLMs offer a possible extension, yet require careful valid https://pulse-3k2.pages.dev/news/1ef088d02a39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLM Judges Have Dark Current: A Psychometric Datasheet for LLM-as-a-Judge Evaluation arXiv:2606.15610v1 Announce Type: new Abstract: LLM-as-a-judge systems are now routinely used for open-ended model evaluation, where human preference annotation is costly, slow, and difficult to repro https://pulse-3k2.pages.dev/news/9c73b8055f6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B Conversations arXiv:2606.15641v1 Announce Type: new Abstract: In-context learning (ICL) is the standard method for low-resource classification, yet its efficacy in specialized domains remains largely unexplored. We https://pulse-3k2.pages.dev/news/823ce53cf64b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Extending Item Response Theory for Efficient and Meaningful Multilingual Evaluation arXiv:2606.15643v1 Announce Type: new Abstract: Multilingual benchmarks are central to evaluating large language models (LLMs) across languages, but they suffer from three issues: exhaustive evaluatio https://pulse-3k2.pages.dev/news/80a2ffa1abdb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond English: Uncovering the Multilingual Gap in Vision-Language-Action Models arXiv:2606.15714v1 Announce Type: new Abstract: Vision-Language-Action models have recently demonstrated promising capabilities in learning generalist robot policies from large-scale multimodal data. https://pulse-3k2.pages.dev/news/c891c2ed6e01 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning arXiv:2606.15733v1 Announce Type: new Abstract: Instruction-tuned language models can answer the same causal-reasoning question differently after its English variable names are replaced by type-preser https://pulse-3k2.pages.dev/news/c699bde3cd6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift arXiv:2606.15734v1 Announce Type: new Abstract: Continual post-training enables models to absorb emerging knowledge after deployment, but repeatedly updating shared parameters can accumulate weight dr https://pulse-3k2.pages.dev/news/a45e571cd667 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries arXiv:2606.15735v1 Announce Type: new Abstract: Discharge summaries are crucial clinical documents containing the context of a patient's overall hospital stay, and are routinely reviewed by medical ex https://pulse-3k2.pages.dev/news/1bfcd41e0d18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Self Consistency Based Reranking for Narrative Question Answering arXiv:2606.15741v1 Announce Type: new Abstract: Narrative question answering (NQA) is a challenging task in natural language processing that requires models to understand long textual contexts, captur https://pulse-3k2.pages.dev/news/160ef1768f41 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection arXiv:2606.15770v1 Announce Type: new Abstract: This paper describes our system for SemEval-2026 Task 6, which addresses the classification of political evasion strategies in English question-answer p https://pulse-3k2.pages.dev/news/827ae3b7c301 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DYNA : Dynamic Episodic Memory Networks for Augmenting Large Language Models with Temporal Knowledge Graphs in Continuous Learning arXiv:2606.15778v1 Announce Type: new Abstract: Large Language Models (LLMs) struggle to incorporate new knowledge without forgetting or costly retraining. We propose DYNA, a lightweight framework tha https://pulse-3k2.pages.dev/news/4de5a50c26e9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ttda704 at SemEval-2026 Task 4: Modeling Narrative Structures via Pseudonymization and Multi-View Sentence Alignment arXiv:2606.15783v1 Announce Type: new Abstract: We present our approach to SemEval 2026 Task 4: Narrative Story Similarity and Narrative Representation Learning. Our solution uses contrastive learning https://pulse-3k2.pages.dev/news/70389bc6b59b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png On Defining Erasure Harms for NLP arXiv:2606.15815v1 Announce Type: new Abstract: The deployment of NLP systems has raised concerns about harms they might produce, including representational harms. Recent literature has begun to conce https://pulse-3k2.pages.dev/news/31418d64ee1f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages arXiv:2606.15821v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have produced many specialized multimodal LLMs (MLLMs) that share common foundational LLMs, forming dist https://pulse-3k2.pages.dev/news/cf4690a609d9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Correct Edges Cannot Be Verified: A Provenance Gap in Incomplete KGQA and a Provenance-Favoring Completion Policy arXiv:2606.15833v1 Announce Type: new Abstract: Incomplete Knowledge Graph Question Answering (IKGQA) requires completing missing edges to continue reasoning. A growing line of work verifies completed https://pulse-3k2.pages.dev/news/fcebc8ac466a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SciOrch: Learning to Orchestrate Expert LLMs for Solving Frontier Multimodal Scientific Reasoning Tasks arXiv:2606.15872v1 Announce Type: new Abstract: Frontier scientific reasoning remains a major challenge for large language models (LLMs), where even the strongest commercial systems fall short of expe https://pulse-3k2.pages.dev/news/346ef3efc8e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Free Energy Heuristics: Fast-And-Frugal Cognition as Active Inference Under Uncertain Precision arXiv:2606.15877v1 Announce Type: new Abstract: Chain-of-thought (CoT) improves large language models' performance in math and symbolic reasoning. But on planning, contested ethics, and tasks where th https://pulse-3k2.pages.dev/news/2fa14b11ff6d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration arXiv:2606.15883v1 Announce Type: new Abstract: Kashmiri, an Indo-Aryan language written in a modified Perso-Arabic script, frequently omits diacritic marks in digital text, creating ambiguity and cha https://pulse-3k2.pages.dev/news/f95d26cfe98b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neuron Level Analysis of Large Language Model in Legal Domain Reasoning arXiv:2606.15884v1 Announce Type: new Abstract: We presented a neuron-level analysis of legal-domain reasoning in LLMs, comparing it with other applied domain tasks across seven open-weight models. Us https://pulse-3k2.pages.dev/news/5f28d2c35d45 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation arXiv:2606.15893v1 Announce Type: new Abstract: Hallucinations remain a major obstacle to deploying large language models (LLMs) in knowledge-intensive settings, where generated responses must be fait https://pulse-3k2.pages.dev/news/4539c52fb715 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Control-Plane Placement Shapes Forgetting: An Architectural Study of Agent Memory Across Thirteen System Configurations arXiv:2606.15903v1 Announce Type: new Abstract: Where an LLM sits in an agent memory pipeline -- between the recall plane that retrieves stored facts (extensively benchmarked) and the control plane th https://pulse-3k2.pages.dev/news/9dfa64c79f7c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Calibrated Triage, Not Autonomy: Confidence Estimation for Medical Vision-Language Models arXiv:2606.15910v1 Announce Type: new Abstract: A vision-language model can answer a question about a medical image fluently and confidently while barely using the image, leaning instead on language p https://pulse-3k2.pages.dev/news/c9a534065bae 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Search arXiv:2606.15911v1 Announce Type: new Abstract: This paper focuses on automatically generating informative ad descriptions in sponsored search. Unlike ad titles which are usually optimized to attract https://pulse-3k2.pages.dev/news/6287e697d1c7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Contaminated Collaboration: Measuring Gender Bias Transfer in LLM-Assisted Student Writing arXiv:2606.15914v1 Announce Type: new Abstract: Gender bias in LLMs has been studied extensively in model outputs, with biased prompts shown to amplify stereotyped generations. Whether such bias propa https://pulse-3k2.pages.dev/news/ac8459953ef9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence arXiv:2606.15932v1 Announce Type: new Abstract: While LLMs have substantially advanced text-to-code synthesis, many real programming tasks specify intent through visual artifacts such as screenshots, https://pulse-3k2.pages.dev/news/48411b39daea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FinBalance: A Multi-Document Accounting Reconciliation Benchmark arXiv:2606.15949v1 Announce Type: new Abstract: Existing financial-NLP benchmarks mostly evaluate prepared artifacts such as filings, tables, or extracted values. Real accounting begins earlier: sourc https://pulse-3k2.pages.dev/news/e31d4044ce67 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges arXiv:2606.15971v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) offers an effective approach for large language models to access external knowledge. However, existing methods rely https://pulse-3k2.pages.dev/news/d0f34361819f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Formalize Once, Edit the Rest: Efficient Lean-Based Answer Selection for Math Reasoning arXiv:2606.15972v1 Announce Type: new Abstract: With large language models (LLMs) increasingly applied to mathematical reasoning, formal proof assistants such as Lean can be leveraged to verify reason https://pulse-3k2.pages.dev/news/c3f65bdb3ca1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Large-Scale Multi-Dimensional Empirical Study of LLMs for Conversation Summarization arXiv:2606.15974v1 Announce Type: new Abstract: Despite the significant advancement of LLMs in conversation summarization, their evaluation remains limited by insufficient scenarios, input lengths, an https://pulse-3k2.pages.dev/news/e56c91f70903 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ROMPAR: Morphological Completion and Demographic Unlearning for Romanian-Accented Speech Recognition arXiv:2606.15984v1 Announce Type: new Abstract: Automated transcription of parliamentary proceedings faces significant hurdles due to demographic bias, dialectal variation, and technical artifacts suc https://pulse-3k2.pages.dev/news/aee8aac41ab0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRACE-DS: a Guarded Reward-guided Agent Correction Environment in Data Science arXiv:2606.16000v1 Announce Type: new Abstract: We introduce GRACE-DS, a Guarded Reward-guided Agent Correction Environment in Data Science for pre-deployment evaluation of LLM-powered AutoML agents. https://pulse-3k2.pages.dev/news/8f3408325f53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design arXiv:2606.16009v1 Announce Type: new Abstract: Machine interpreting (MI), the live, real-time branch of speech translation, has achieved remarkable progress on standard benchmarks, with some systems https://pulse-3k2.pages.dev/news/df7023d2cc22 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs arXiv:2606.16011v1 Announce Type: new Abstract: Standard accuracy benchmarks are designed to test how closely large language models (LLMs) approach correct answers, but are not suitable for testing wh https://pulse-3k2.pages.dev/news/eceda5d672f7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Scaling Human and G2P Supervision for Robust Phonetic Transcription arXiv:2606.16019v1 Announce Type: new Abstract: Expert phonetic annotation is costly, especially for non-standard dialects and atypical speech. A common alternative is using Grapheme-to-Phoneme (G2P) https://pulse-3k2.pages.dev/news/83091a915de9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png In-Domain Supervised Pathology Report Classification: A Reproducible Pipeline from Data Curation to Production-Matched Evaluation arXiv:2606.16026v1 Announce Type: new Abstract: We introduce an in-domain supervised pipeline designed to counter the out-of-distribution performance drop that hampers supervised biomedical NLP models https://pulse-3k2.pages.dev/news/5b4f479a3239 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Argument Components to Graphs: A Multi-Agent Debate with Confidence Gating for Argument Relations arXiv:2606.16047v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly assessed and utilized in the field of Argument Mining (AM), thanks to their strong general reasoning capab https://pulse-3k2.pages.dev/news/626ea668d7ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PVminerLLM2: Improving Structured Extraction of Patient Voice via Preference Optimization arXiv:2606.16074v1 Announce Type: new Abstract: Motivation: Patient-generated text contains critical information on patients' lived experiences, social context, and care engagement, but remains largel https://pulse-3k2.pages.dev/news/206d6a8bceba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing arXiv:2606.16093v1 Announce Type: new Abstract: Modeling long-range dependencies remains a central challenge in natural language processing. Transformer architectures achieve strong performance via se https://pulse-3k2.pages.dev/news/231a6ccad746 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Pareto-Optimal Tool-Integrated Agents with Pareto Ranking Policy Optimization arXiv:2606.16111v1 Announce Type: new Abstract: Recent advances in tool-integrated language agents have significantly improved their ability to solve complex reasoning tasks. However, existing alignme https://pulse-3k2.pages.dev/news/dadbe2803f28 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AuAu: A Benchmark for Auditing Authoritarian Alignment in Large Language Models arXiv:2606.16127v1 Announce Type: new Abstract: The worldwide surge of authoritarianism, combined with the increasing central role in users' everyday lives, raises the question of to what extent speci https://pulse-3k2.pages.dev/news/a07a556994a7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models arXiv:2606.16137v1 Announce Type: new Abstract: Speech deepfake detection (SDD) systems require trustworthy explanations for reliable decision-making. Existing explanation ways mainly fall into two ca https://pulse-3k2.pages.dev/news/a17cb48ad349 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GRACE: Step-Level Benchmark for Faithful Reasoning over Context arXiv:2606.16151v1 Announce Type: new Abstract: Many reasoning tasks require models to reason over input context, from document-grounded question answering to rule-based deduction. Chain-of-Thought (C https://pulse-3k2.pages.dev/news/d82acfad6d3d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Weaving Multi-Source Evidence for Biomedical Reasoning: The BioMedHop Benchmark and BioWeave Framework arXiv:2606.16211v1 Announce Type: new Abstract: Biomedical question answering (QA) increasingly requires reasoning over interacting entities, where supporting evidence is scattered across biomedical k https://pulse-3k2.pages.dev/news/591b4957c793 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PACT: Privileged Trace Co-Training for Multi-Turn Tool-Use Agents arXiv:2606.16215v1 Announce Type: new Abstract: Multi-turn tool-use agents must reason, call tools, and adapt to observations across several interaction turns. Post-training such agents is challenging https://pulse-3k2.pages.dev/news/8831b7a434e5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Creative Collision: Directorial Persona Steering and Competition in Large Language Models arXiv:2606.16240v1 Announce Type: new Abstract: Activation steering has emerged as a powerful tool for shaping the behaviour of large language models at inference time, yet most prior work injects a \ https://pulse-3k2.pages.dev/news/e71fdb16d8d2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models arXiv:2606.16281v1 Announce Type: new Abstract: Masked Diffusion Language Models (MDLMs) have emerged as a distinct paradigm for sequence generation. As MDLMs become diverse in capabilities and knowle https://pulse-3k2.pages.dev/news/41d21fc80ca0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HiMPO: Hindsight-Informed Memory Policy Optimization for Less-Entangled Credit in Long-Horizon Agents arXiv:2606.16285v1 Announce Type: new Abstract: Long-horizon agents rely on memory mechanisms to compress interaction history, but optimizing memory writing faces a distinct credit assignment challeng https://pulse-3k2.pages.dev/news/d7137761a4e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PaperJury: Due-Process Review for Bounded LaTeX Revision arXiv:2606.16322v1 Announce Type: new Abstract: Pre-submission hardening of human-authored LaTeX computer science papers differs from drafting assistance because it requires adversarial whole-paper re https://pulse-3k2.pages.dev/news/c2b609eea989 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TMASC: Transmasculine Attitude and Speech Corpus arXiv:2606.16351v1 Announce Type: new Abstract: We introduce the Transmasculine Attitudes and Speech Corpus (TMASC), a multimodal corpus of 196 transmasculine individuals, including questionnaire resp https://pulse-3k2.pages.dev/news/7b0ee9099346 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tyler: Typed Latent Reasoning for Language Models -- When to Think, What to Compute, and How Much to Allocate arXiv:2606.16360v1 Announce Type: new Abstract: Chain-of-thought (CoT) prompting improves reasoning in large language models (LLMs) by externalizing intermediate computation as discrete text tokens, b https://pulse-3k2.pages.dev/news/f21009236634 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating LLM Personalization via Semantic Constraint Verification arXiv:2606.16368v1 Announce Type: new Abstract: Current evaluation paradigms for Large Language Model (LLM) personalization rely heavily on brittle surface-matching metrics or computationally expensiv https://pulse-3k2.pages.dev/news/b3899f2aa476 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Surpassing Scale by Efficiency: A Compact 135M Parameter Foundational LLM Natively Adapted for the Bangla Language arXiv:2606.16383v1 Announce Type: new Abstract: While the NLP landscape is dominated by multi-billion parameter architectures, their deployment in low-resource, non-Latin scripts remains computational https://pulse-3k2.pages.dev/news/fe6a18251f64 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Mechanistic Understanding of Pronoun Fidelity in LLMs arXiv:2606.16407v1 Announce Type: new Abstract: Faithful and robust pronoun use is important for fair and coherent generations, yet large language models largely fail when multiple referents use diffe https://pulse-3k2.pages.dev/news/75d8f61522b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PathRouter: Aligning Rewards with Retrieval Quality in Agentic Graph Retrieval-Augmented Generation arXiv:2606.16409v1 Announce Type: new Abstract: Agentic GraphRAG trains language-model agents to iteratively retrieve and reason over graph-structured evidence, enabling more accurate and context-awar https://pulse-3k2.pages.dev/news/782519b52753 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching arXiv:2606.16428v1 Announce Type: new Abstract: Effective personalized AI-assisted learning demands systems that can not only generate accurate learner-specific educational materials, but also dynamic https://pulse-3k2.pages.dev/news/040a96de1b27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ACCORD: Action-Conditioned Contextual Grounding for Language Agents arXiv:2606.16432v1 Announce Type: new Abstract: User instructions are often underspecified because humans rely on implicit assumptions about the surrounding environment. For large language model (LLM) https://pulse-3k2.pages.dev/news/b4579e9af4a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Awareness to Adherence: Bridging the Context Gap in Spoken Dialogue Systems via Context-Aware Decoding arXiv:2606.16472v1 Announce Type: new Abstract: Despite the success of end-to-end (E2E) spoken dialogue systems, maintaining strict context adherence in multi-round conversations remains a challenge. https://pulse-3k2.pages.dev/news/cb73733b2d5e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lost at the End: Primacy Bias in Multimodal Retrieval-Augmented Question Answering arXiv:2606.16494v1 Announce Type: new Abstract: Knowledge-based visual question answering (KB-VQA) lets vision-language systems answer questions that exceed their parametric knowledge by conditioning https://pulse-3k2.pages.dev/news/ef02dbbe5eb3 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15007/gradient.png Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning Abstract Nemotron 3 Ultra is a large-scale language model featuring hybrid Mamba-Attention architecture with 550 billion parameters, achieving high inference throughput and extended context length thr https://pulse-3k2.pages.dev/news/80d77288b23d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16140/gradient.png VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models Abstract VibeThinker-3B demonstrates that compact models can achieve state-of-the-art performance on verifiable reasoning tasks through specialized training techniques, challenging conventional scalin https://pulse-3k2.pages.dev/news/940212ba8f64 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/01340ff9b879 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16838/gradient.png OneRank: Unified Transformer-Native Ranking Architecture for Multi-Task Recommendation Abstract OneRank presents a Transformer-native multi-task learning framework that integrates feature encoding and prediction to reduce inter-task interference and improve ranking performance in recomm https://pulse-3k2.pages.dev/news/e230c4697478 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16519/gradient.png BadWorld: Adversarial Attacks on World Models Abstract BadWorld is a label-free adversarial framework that reveals structural vulnerabilities in visual world models by generating imperceptible perturbations that cause catastrophic failures in fut https://pulse-3k2.pages.dev/news/6059b2a74105 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17049/gradient.png BRDFusion: Physics Meets Generation for Urban Scene Inverse Rendering Abstract BRDFusion combines physical modeling and generative priors to achieve high-quality inverse and forward rendering of urban scenes with precise control and artifact reduction. Generated by Qwen https://pulse-3k2.pages.dev/news/ff54442f1d3b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15631/gradient.png Retrieve, Don't Retrain: Extending Vision Language Action Models to New Tasks at Test Time Abstract Retrieval-augmented vision-language-action policies eliminate per-task fine-tuning costs by using pre-trained models with indexed demonstrations, enabling efficient cross-embodiment generaliz https://pulse-3k2.pages.dev/news/1720350cae32 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16281/gradient.png Who Should Lead Decoding Now? Tracking Reliable Trajectories for Ensembling Masked Diffusion Language Models Abstract Masked diffusion language models exhibit unique decoding dynamics where reliable trajectories show stable confidence patterns, enabling iterative ensemble methods that transfer partially deno https://pulse-3k2.pages.dev/news/42a04a06da5d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16993/gradient.png DreamX-World 1.0: A General-Purpose Interactive World Model Abstract DreamX-World 1.0 is a interactive text/image-to-video model that generates long-horizon content with camera control and scene persistence using specialized encoding, training techniques, and https://pulse-3k2.pages.dev/news/0d6b459f43a3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bf5d1a566116 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17006/gradient.png TuneJury: An Open Metric for Improving Music Generation Preference Alignment Abstract A novel open-source pairwise reward model for text-to-music generation that provides calibrated preference scoring and generalizes across multiple downstream applications through a frozen rew https://pulse-3k2.pages.dev/news/83c7f5540367 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.15300/gradient.png CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks? Abstract Advanced agents struggle to effectively integrate data discovery with code execution in data-intensive environments, revealing a significant gap in current agentic capabilities. Generated by https://pulse-3k2.pages.dev/news/fe818c3ab614 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16255/gradient.png UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer Abstract UniDDT addresses key challenges in unified multimodal models by leveraging a Noisy ViT encoder and LLM for semantic encoding while using separate diffusion decoders to balance visual understa https://pulse-3k2.pages.dev/news/d682a304bd82 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!HKwp!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fcf76265a-b9d4-4100-acf7-e262e9f15460_908x1210.png [AINews] Satya on Loopcraft: Building Frontier Ecosystems a quiet day lets us report on Satya's hit essay https://pulse-3k2.pages.dev/news/f2af090ca646 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.14066/gradient.png FastContext: Training Efficient Repository Explorer for Coding Agents Abstract FastContext separates repository exploration from code solving in LLM agents using specialized exploration models that reduce token consumption and improve resolution rates. Generated by Qwen https://pulse-3k2.pages.dev/news/b353912f257c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.17016/gradient.png TokenPilot: Cache-Efficient Context Management for LLM Agents Abstract TokenPilot is a dual-granularity context management framework that reduces inference costs in long-horizon LLM sessions by stabilizing prompt prefixes and conservatively managing context segm https://pulse-3k2.pages.dev/news/31557208a04a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.16295/gradient.png VisualClaw: A Real-Time, Personalized Agent for the Physical World Abstract VisualClaw is a self-evolving multimodal agent that reduces deployment costs through hybrid encoding and skill evolution while improving video-QA accuracy across multiple benchmarks. Generate https://pulse-3k2.pages.dev/news/3f3a0c2128fd 2026-07-02 monthly 0.7 https://external-preview.redd.it/01MDTbBixGsthMqw5e-z9EEgUaMBxowd2CtqJ5BtUzQ.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=59105f1cb8b5485c74425b3c985e2234648b5e0c Claude Fable 5 distilled Releasing Qwable-v1 - an open-weights Qwen3.6-35B-A3B distilled from Claude Fable-5, Anthropic's Mythos-class preview model that was briefly public for ~4days (2026-06-9 → 2026-06-12) before being sus https://pulse-3k2.pages.dev/news/daa935866d71 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!gBx6!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F6477dc42-dd38-4b92-8fa0-e4e6ab7f2bc1_1918x820.png Zen and the Art of Machine Learning Research Article URL: https://blog.jxmo.io/p/zen-and-the-art-of-machine-learning Comments URL: https://news.ycombinator.com/item?id=48549118 Points: 200 # Comments: 68 https://pulse-3k2.pages.dev/news/8d09eb6c881a 2026-07-02 monthly 0.7 https://s3.amazonaws.com/til.simonwillison.net/8d741aedeb80393d190e49bc34da7e9c.jpg Cloudflare CAPTCHA on at least one ampersand TIL: Cloudflare CAPTCHA on at least one ampersand I'm using Cloudflare's CAPTCHA (they call it a "Web Application Firewall > Custom rules > Managed Challenge" these days) to prevent crawlers from aggr https://pulse-3k2.pages.dev/news/40f6d53b8fbe 2026-07-02 monthly 0.7 https://external-preview.redd.it/lJIoor4MeTsHQfI-ePot2To5lWo_JlXEZE1y1qS89Eo.png?width=140&amp;height=75&amp;auto=webp&amp;s=d7af28dab3b1f743cf10f95152bbee2df1568164 HalBench: 29 OSS models tested on a custom built Sycophancy and Hallucination Benchmark, Qwen 3.6 and Gemma 4 scoring far above their weight! (While Meta keeps proving they forgot how to spend their money...) Link to last post Before anything else, I'd like to sincerely thank u/jipok_ for helping out by highlighting a few weak questions, categories and scoring issues, which have now been addressed (Droppin https://pulse-3k2.pages.dev/news/6791f5bf9a2c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cf13806f7c70 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6c6a9b34e4c8 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6JZlAmecG8aC8SlHCpIdyt/c46c124acc7fc667eb626be0dd3acc00/image.png Vercel Sandbox can now run for up to 24 hours Vercel Sandboxes can run uninterrupted sessions for up to 24 hours (up from 5 hours). This new max duration unlocks workloads that require longer runtimes, such as large-scale data processing, end-to- https://pulse-3k2.pages.dev/news/e7619582c6ce 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/1KfdkVBV2VdIQPdidgjwe4/d7e40994dd7d046f5f58416cccbfd40c/image.png Workflow SDK now supports inflight cancellation The Workflow SDK 5 beta now supports the standard AbortController and AbortSignal APIs across workflow and step boundaries. Create a controller inside a workflow, pass its signal into one or more step https://pulse-3k2.pages.dev/news/03a1443b29b3 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/7jUJeXoK1ivsJF1VFqkBVC/64eec886f475327c425aec531ab80aed/image.png Workflow SDK now supports TanStack Start Workflow SDK now supports TanStack Start applications on Vercel. TanStack Start is built on Vite and Nitro , so the existing workflow/vite plugin works directly. Add it to vite.config.ts alongside tan https://pulse-3k2.pages.dev/news/c000018ba1f0 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4nRyRNS5bPvePGSTz5xlQE/ea4b18c80061d14d480d6a20d57a14eb/SEO_Card.png?w=1600&amp;h=900&amp;fit=fill Predicting model behavior before release by simulating deployment OpenAI introduces Deployment Simulation, a method to predict AI model behavior before deployment using real conversation data to improve safety and evaluation accuracy. https://pulse-3k2.pages.dev/news/702108fa0cfc 2026-07-02 monthly 0.7 https://zed.dev/api/og?title=Zed%20Guild%3A%20What%20We%20Built%2C%20What%20We%20Learned Zed Guild: What We Built, What We Learned A retrospective on the Zed Guild - what we built with our community contributors, what we learned, and what comes next. https://pulse-3k2.pages.dev/news/7211c57adc8c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/sundar-io2026-intro-close.png?w=1191 Sundar Pichai faces boos, walkout at Stanford graduation ceremony over Google&#8217;s Israel, ICE ties AI is once again at the heart of a college graduation protest — this time for the technology's use in Google's defense contracts. https://pulse-3k2.pages.dev/news/28d20636c552 2026-07-02 monthly 0.7 https://preview.redd.it/qprdhjweaj7h1.jpeg?width=320&amp;crop=smart&amp;auto=webp&amp;s=66645a1c7d01a9e7bab3b21f294867164e3c6ca1 *cough* gemma3 270M *cough* &#32; submitted by &#32; /u/Scutoidzz [link] &#32; [comments] https://pulse-3k2.pages.dev/news/6a88d90dbc52 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5e0a4878a4f4 2026-07-02 monthly 0.7 https://external-preview.redd.it/fMjJ49Uw0N0--QQKIlMBCSfCiS-6xLh-r6XVjRUAEFc.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=85b782c0dd16397e221f51ce83c8d2ff26602994 vLLM has a new streaming parser for Qwen3+ available in nightly The new parser reportedly fixes the issues many were seeing with Qwen3.6-27b stopping mid turn, as well as failing streaming tool calls due to chunk boundaries. The mid turn stopping is especially ann https://pulse-3k2.pages.dev/news/7647f28db9bc 2026-07-02 monthly 0.7 https://external-preview.redd.it/bXdkZjhuMmJ4aTdoMUncYmPPJadxL5gmWTiBQNXdZlFLfOie0TijXVBGdi3l.png?width=320&amp;crop=smart&amp;auto=webp&amp;s=56be2f887431fbf287b847ce87a3b48b55a03583 "My son is a genius coder" - honest Alpha Tester review "It's not slop - it's an art" - Grandma. Introducing you my few weeks brainstorming and writing of the code. I was rewrite everything my AI was creating so basically it's my own creation. Brain Calcul https://pulse-3k2.pages.dev/news/1055589186c9 2026-07-02 monthly 0.7 https://www.richardosgood.com/images/logo.png Banned Book Library in a Wi-Fi Smart Light Bulb Article URL: https://www.richardosgood.com/posts/banned-book-library/ Comments URL: https://news.ycombinator.com/item?id=48547985 Points: 217 # Comments: 102 https://pulse-3k2.pages.dev/news/0c1997499883 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/457319a1493a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c01857f6a351 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/trump-2267050833.jpg?resize=1200,800 The US government&#8217;s Anthropic models ban was never about an AI jailbreak The Trump administration's decision that forced Anthropic to pull its latest cybersecurity models could be reactionary, retaliatory, or both, but the message is clear: The AI industry isn't immune fro https://pulse-3k2.pages.dev/news/04e7f54d5f04 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cb34a3eb29f3 2026-07-02 monthly 0.7 https://preview.redd.it/s15mc2momi7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=0542c88bc90155848273c1d09357915b7336dd9e Cheapest hardware for Qwen 3.6: both 27B and 35B-A3B - "Qwen 3.6/3.5 27b > Qwen 3.6/3.5 35b > Gemma4 31b > Qwen 3.5 9b > Gemma4 12b > Gemma4 26b", people say - "Qwen 3.6 for coding & Agentic, Gemma4 for human sounding text", people say &#x200B; So I hav https://pulse-3k2.pages.dev/news/4209592c7a91 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b4ab3f74ded 2026-07-02 monthly 0.7 https://preview.redd.it/8grvgzu7ji7h1.png?width=140&amp;height=12&amp;auto=webp&amp;s=3273fafe9fc8a71cbc5bdd7407caac2e46662f54 Finally - 4xRTX 5060TI nvtop showing clocks and PCIe speed while running gpu_burn I wrote a while ago about my plans to put together a quad 5060ti 16gb based system after finding them nicely discounted. Everything got delay https://pulse-3k2.pages.dev/news/2d9cb8b6586b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8608f9b2924d 2026-07-02 monthly 0.7 https://preview.redd.it/p7gwtugbhi7h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=64a0cbbe75145c3d19d00ba6b24b160b11854b6d Reason to run local agents instead #645 &#32; submitted by &#32; /u/ToastFetish [link] &#32; [comments] https://pulse-3k2.pages.dev/news/a6aa769075cd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fdcd764f8e96 2026-07-02 monthly 0.7 https://clickhouse.com/_next/image?url=%2Fuploads%2Fgithub_c01a760d53.png&amp;w=1200&amp;h=630&amp;q=80 Ten years of ClickHouse in open source Article URL: https://clickhouse.com/blog/open-source-10 Comments URL: https://news.ycombinator.com/item?id=48546890 Points: 225 # Comments: 65 https://pulse-3k2.pages.dev/news/a7e85280c9a4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fb97bf9ecc70 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb9f83dc6274 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/85e42bdfef0d 2026-07-02 monthly 0.7 https://external-preview.redd.it/HY3hvbRxXorFRK4WaWileVR3R6VHBm9SLPgRvhVoFeg.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=2a1627b04461a30c5a5ce7084587983df97fb432 Stop using Ollama &#32; submitted by &#32; /u/zxyzyxz [link] &#32; [comments] https://pulse-3k2.pages.dev/news/0ba3272de0f7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/df946c90f5b7 2026-07-02 monthly 0.7 https://michaelenger.com/ I Love the Computer Article URL: https://michaelenger.com/blog/i-love-the-computer/ Comments URL: https://news.ycombinator.com/item?id=48546441 Points: 221 # Comments: 132 https://pulse-3k2.pages.dev/news/7876a45e594c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0d3e3a9e1a51 2026-07-02 monthly 0.7 https://roman.pt/posts/linkedin-backdoor/splash.png A backdoor in a LinkedIn job offer Article URL: https://roman.pt/posts/linkedin-backdoor/ Comments URL: https://news.ycombinator.com/item?id=48546294 Points: 305 # Comments: 66 https://pulse-3k2.pages.dev/news/fc4835ea35f6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cbd1b56e0d6e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/27aeb507a3e4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a2b40c70eef3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/94fc7428767c 2026-07-02 monthly 0.7 https://preview.redd.it/hh9qswkj0i7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=4111d88441b6d5a2da72de97978047987fcbe096 Evalatro: an open benchmark where LLMs play the real Balatro Hey! I made Evalatro - an open benchmark where your LLMs play actual Balatro. Real game. It started because I kept asking Claude to help me beat levels while playing (yeah, I'm too weak). I'd just thr https://pulse-3k2.pages.dev/news/52dffafcf455 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/96fb7a7ce20e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cceb26951a9c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a9f0ab8e6b6c 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2025/08/nvidia-chip-1152x648-1754500479.jpg Chipmaker Nvidia seeks to raise over $25B in first bond deal since 2021 Debt sale set to test investor appetite for further exposure to AI sector amid a deluge of borrowing. https://pulse-3k2.pages.dev/news/c11d7065bad1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/03dd6b7bca3a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/445011d24096 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cc1fb30b4107 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5cef4596cb84 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/meta-apps-GettyImages-2152655816.jpg?w=1024 Meta&#8217;s new ‘AI Mode’ on Facebook pulls from public info across its platforms Meta announced Monday that it's rolling out a wave of new AI features on Facebook, the latest sign of the company's effort to catch up in the AI race and keep users more engaged on the platform. https://pulse-3k2.pages.dev/news/9e1b9d0f3cb5 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/elon-nasdaq-spacex-ipo.jpg?resize=1200,801 SpaceX is public: Everything you need to know post-IPO TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and mayb https://pulse-3k2.pages.dev/news/f86e3355945d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/15c52c392515 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dda22a90910d 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/biology-foundation-model-training.webp Fine-Tuning Biological Foundation Models with LoRA Using NVIDIA BioNeMo Recipes Foundation models are reshaping computational biology. Pretrained on massive corpora of protein or genomic sequences, models such as ESM2 (a protein language... https://pulse-3k2.pages.dev/news/9e3aa322058f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0235476ad683 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/db48d2f784cb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2c2cbb358c12 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/46bd0b3eaeeb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c98df824e863 2026-07-02 monthly 0.7 https://typst.app/assets/social.png Typst 0.15.0 Article URL: https://typst.app/docs/changelog/0.15.0/ Comments URL: https://news.ycombinator.com/item?id=48544396 Points: 229 # Comments: 55 https://pulse-3k2.pages.dev/news/fa020e6a0aec 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/810e8370a684 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/i-saw-pelicans-agent.jpg datasette-agent 0.3a0 Release: datasette-agent 0.3a0 New tool, execute_write_sql , which requests user approval and then writes to a database - taking user permissions into account. #27 I added a mechanism for asking user https://pulse-3k2.pages.dev/news/228efd9cda54 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c9cc888182b7 2026-07-02 monthly 0.7 https://external-preview.redd.it/q3evP6JeDpAC2MdSQHWYxnCYTqbJkElIQsLFqVSdkss.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=de730fbf7ecace6df0036b21470c16a2d4feacfb AI language models have favorite names, and we mapped them [R] It turns out LLMs have strong priors over character names that are model-specific and version-specific. If you find Elena Vasquez and Marcus Chen together on a website, there's a good chance Claude ge https://pulse-3k2.pages.dev/news/f4137df33425 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2bff15714357 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/image6-1.webp Boosting MoE Training Throughput with Advanced Fusion Kernels Mixture-of-experts (MoE) models have quickly become a foundational component of modern, large-scale AI systems. They are widely adopted because they enable... https://pulse-3k2.pages.dev/news/cfb92210bc0d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ddf0c761987f 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!ehVc!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F665af302-0461-4e5b-bc6e-29278da16bff_1136x912.jpeg Kayfable What does Anthropic actually want? https://pulse-3k2.pages.dev/news/151ea8ac5bea 2026-07-02 monthly 0.7 https://external-preview.redd.it/Y3E3NzNva3MwaDdoMWZ0PaBJ-sSy0B6vPraOFU2ayvAvvT8WrQoQ1tFKXHVl.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=62a46ff667b8c49ccfa240bbdcc9174b5490b910 I made a game where you convince an AI model that reality is a simulation. Progress update: Showed you all my demo last week, had some great conversations with some very smart folk, and spent days fixing bugs and trying things out. And now, I humbly present to you: Simulatio https://pulse-3k2.pages.dev/news/c0f56327d7de 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/37eb83aedde8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8a8add01912b 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/images/202605/mit-csail-fractal.jpg To study how chips work, MIT researchers built their own operating system Article URL: https://news.mit.edu/2026/to-study-how-chips-really-work-mit-researchers-built-their-own-operating-system-0610 Comments URL: https://news.ycombinator.com/item?id=48543311 Points: 208 # Co https://pulse-3k2.pages.dev/news/1b1d2a3ed0ee 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e4cb795e666a 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!-t2P!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3c321f20-72e5-4893-877a-adea6859fbd5_967x731.jpeg The Once And Future Fable #2 On Friday evening the United States Government has forced Anthropic to take down all access to Fable and Mythos. https://pulse-3k2.pages.dev/news/bb6006dbbe62 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/052e05fff3ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/365cbd6cf971 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/claude-mythos-logo.jpg?resize=1200,800 Cybersecurity vets protest &#8216;dangerous&#8217; US government ban on Anthropic&#8217;s most powerful models A group made up of dozens of cybersecurity experts urged the White House to remove export control restrictions on Anthropic’s models Fable and Mythos, arguing that the order is going to limit the abil https://pulse-3k2.pages.dev/news/7d14ab688af9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b7f6dbe548f5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1274e97d0c78 2026-07-02 monthly 0.7 https://www.iroh.computer/api/og?title=Blog&amp;subtitle=Iroh%201.0%20-%20Dial%20Keys,%20not%20IPs Iroh 1.0 Article URL: https://www.iroh.computer/blog/v1 Comments URL: https://news.ycombinator.com/item?id=48542480 Points: 293 # Comments: 89 https://pulse-3k2.pages.dev/news/d73e14591ae2 2026-07-02 monthly 0.7 https://rsgm.dev/_astro/ai-pr-1.PYIiaDRf.png My Homelab AI Dev Platform Article URL: https://rsgm.dev/post/ai-dev-platform/ Comments URL: https://news.ycombinator.com/item?id=48542433 Points: 262 # Comments: 51 https://pulse-3k2.pages.dev/news/90a2c1375074 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9c479ecb9893 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d5d019dcd52f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e251d5c0aff0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/91a724440e89 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b82908496488 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bafdf09fe32b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/794bb040a0a8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bd9bf27f1c67 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/06/GettyImages-1125951338.jpg?resize=1200,900 Salesforce acquires AI customer service platform Fin for $3.6 billion Salesforce says it wants to use Fin's team and technology to improve Agentforce, its existing enterprise platform that businesses can use to build custom AI agents that automate tasks. https://pulse-3k2.pages.dev/news/270caedd3b40 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/969687090b36 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3DA5OGTHJXtUFoiqNGsLxd/f08b8024eefd4b7708bdb4bdaaaddb3f/vercel_functions_can_run_for_up_to_30_minutes_og_card.jpg Vercel Functions can now run up to 30 minutes Vercel Functions using the Node.js and Python runtimes now support execution durations up to 30 minutes for Pro and Enterprise teams, more than 2x the previous 800 second limit. Support for additional https://pulse-3k2.pages.dev/news/9993c2282f6f 2026-07-02 monthly 0.7 https://preview.redd.it/nbeo2a9rbg7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=7d72d10a23af30f657c1cca0ed5a858fe8eaddf8 archex: local-first, deterministic code-context for AI agents — no API key, no telemetry (Apache 2.0) archex turns a repo into a ranked, token-budgeted context bundle for coding agents: the symbols, imports, dependency-graph neighbors, and provenance the model needs, assembled before it reasons. It re https://pulse-3k2.pages.dev/news/d2aefcbddbc0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/02/sarvam.jpg?resize=1200,800 Sarvam becomes India&#8217;s newest AI unicorn with $234 million funding round led by HCLTech Indian IT services company HCLTech is investing $150 million in the Bengaluru startup. https://pulse-3k2.pages.dev/news/492bf3686357 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7733efc3a6b9 2026-07-02 monthly 0.7 https://mickael.canouil.fr/posts/2026-06-15-gribouille-0-3/featured.png Gribouille 0.3.0: A Grammar of Graphics for Typst Article URL: https://mickael.canouil.fr/posts/2026-06-15-gribouille-0-3/ Comments URL: https://news.ycombinator.com/item?id=48541062 Points: 202 # Comments: 75 https://pulse-3k2.pages.dev/news/7e6569ef77ed 2026-07-02 monthly 0.7 https://crankgpt.com/Images/og.jpg CrankGPT Article URL: https://crankgpt.com Comments URL: https://news.ycombinator.com/item?id=48540854 Points: 281 # Comments: 113 https://pulse-3k2.pages.dev/news/e099eaeb0874 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6c83d6aa6c6a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/55cb6182b54c 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/newcore-founders.jpg?resize=1200,800 As AI agents become employees, NewCore emerges with $66M to give them identities NewCore argues the next challenge in enterprise security will be managing AI agents, not people. https://pulse-3k2.pages.dev/news/0c72dd95d502 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bd9ea413a427 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7279e5064366 2026-07-02 monthly 0.7 https://external-preview.redd.it/MHUwYnZqMjR6ZjdoMZqBoeAETn4VYfi4SmMwgzJzZUpJzNv19zF0OTaihwpp.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=25f7a357a2de53a312040e25b21622c9bdba1962 React Native ExecuTorch now runs Gemma 4 (Vulkan and MLX accelerated) We've integrated Gemma 4 into react-native-executorch . You can now run it fully offline in your React Native app, with GPU acceleration via the Vulkan delegate on Android and the MLX delegate on Appl https://pulse-3k2.pages.dev/news/30c2decbc60e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/322ebfca6247 2026-07-02 monthly 0.7 https://external-preview.redd.it/sucPaB3Dbqn3p0Dx22YJqFyKEDCirCBQx4Qy3ovCxe4.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=0598eae709358adef31e2f36d4a850f114a7fbf9 Tower-Plus-72B-Ultra-Uncensored-Heretic, a Model That Support 22 Languages Making it Great for Multilingual Tasks and is Especially Strong on Translation Related Workflows Where No Censorship Is Essential, Now Ultra Uncensored With 5/100 Refusals! Safetensors: https://huggingface.co/llmfan46/Tower-Plus-72B-ultra-uncensored-heretic GGUFs: https://huggingface.co/llmfan46/Tower-Plus-72B-ultra-uncensored-heretic-GGUF Find all my models here: Huggin https://pulse-3k2.pages.dev/news/8efceb5be72f 2026-07-02 monthly 0.7 https://www.salesforce.com/news/wp-content/uploads/sites/3/2026/06/Option-02.png Salesforce to Acquire Fin (formerly Intercom) for $3.6B Article URL: https://www.salesforce.com/news/press-releases/2026/06/15/salesforce-signs-definitive-agreement-to-acquire-fin/?bc=HL Comments URL: https://news.ycombinator.com/item?id=48540126 Points: 2 https://pulse-3k2.pages.dev/news/760bf66c1e5d 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/05/WAM_Blog_Post_Header.webp Pretrained to Imagine, Fine-Tuned to Act: The Rise of World-Action Models Quick glossary for readers new to VLA/WAM terminology VLA Vision-Language-Action model: a robot policy that starts from a pretrained VLM backbone and adapts it... https://pulse-3k2.pages.dev/news/56800be7ab95 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/coast_ground_postprocess.png?resize=1200,900 A satellite just learned to find things on its own — here&#8217;s what that means In April, for the first time ever, an Earth observation satellite found what it was looking for, all on its own. https://pulse-3k2.pages.dev/news/6d58ac5b992c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/716f75cf501d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/10e58b215a89 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cd9d050cddd4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/369271d4ab79 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!3yYS!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fd6d17996-2bef-40a4-abe3-be72a0e8a227_258x258.png Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns Where are your agents right now? https://pulse-3k2.pages.dev/news/cb0efe82eba4 2026-07-02 monthly 0.7 https://preview.redd.it/bh8ar833gf7h1.png?width=140&amp;height=131&amp;auto=webp&amp;s=a4d0c33418626eca5c00d0ead92f44c8d93f049a People kept saying my comments sounded AI-generated, so I built this https://preview.redd.it/bh8ar833gf7h1.png?width=970&format=png&auto=webp&s=a20831233fdd6b3243adc16d19101d81878f185b I originally came to Reddit because I wanted to discuss LLMs. More specifically, I w https://pulse-3k2.pages.dev/news/7c91e880c5ff 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8cea41195b55 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d5d49523e060 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5d034e631f00 2026-07-02 monthly 0.7 https://preview.redd.it/78b1nuc63f7h1.png?width=140&amp;height=87&amp;auto=webp&amp;s=a1290e8d33e18365c4e084b5a6e7202de4a3cda8 I'm still surprised on how good the kv quantization has become https://preview.redd.it/78b1nuc63f7h1.png?width=1164&format=png&auto=webp&s=e4b7202b92026083d470e340260165ff8503ee57 https://preview.redd.it/ryl4v2ym3f7h1.png?width=1167&format=png&auto=webp&s=9e42964 https://pulse-3k2.pages.dev/news/22b18e79c40c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4ffd69a54096 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/39fc4bd3dd85 2026-07-02 monthly 0.7 https://preview.redd.it/pqsjy78lxe7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=9d4640f805c1d854f76ef6587316143cd2119034 This is amazing. Token speed doubled + kv cache now need low vram - qwen 27b "Qwen3.6-27B Q4_K_M on a single RTX 3090: native 256K context at 38.6 tok/s with 72 MiB of resident KV, needle recall 88-100% at 6% residency, harness accuracy unchanged (36/36 vs full cache)." On the https://pulse-3k2.pages.dev/news/a21ffe929326 2026-07-02 monthly 0.7 https://preview.redd.it/vzgzgbzwte7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=88e5ea93eef77ed8fd4e9456eeedc3e502f8872e What's the lesson chat? &#32; submitted by &#32; /u/ill_be_productive [link] &#32; [comments] https://pulse-3k2.pages.dev/news/a1eef7ea2ffe 2026-07-02 monthly 0.7 https://mrmarket.lol/static/og-image.png What the Fuck Happened to Nerds Article URL: https://mrmarket.lol/what-the-fuck-happened-to-nerds/ Comments URL: https://news.ycombinator.com/item?id=48538229 Points: 208 # Comments: 135 https://pulse-3k2.pages.dev/news/05cf3772eab8 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Powder-Keg.png?resize=1200,960 The AI layoff wave is becoming a powder keg What makes this combustible: at the very moment that tens of thousands of workers are being shown the door, a small cohort of AI insiders is becoming wealthy on a scale that's hard to comprehend. https://pulse-3k2.pages.dev/news/c8dddc677abd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/90ed4bfdecf6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0ff5697e418c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50e3d15db858 2026-07-02 monthly 0.7 https://external-preview.redd.it/Rw_F81X7lXvU6schb3SFsJjgYAzcKzjTWDeqzpuRTfg.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=e92c570149a72bbedcd731c9db60a0d1314f42b8 UI/svg block rendering by ServeurpersoCom · Pull Request #24080 · ggml-org/llama.cpp watch the video to see SVG fun &#32; submitted by &#32; /u/jacek2023 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/cd9c58cff3c2 2026-07-02 monthly 0.7 https://daniel.haxx.se/blog/wp-content/uploads/2026/06/curl-summer-of-bliss.jpg Curl will not accept vulnerability reports during July 2026 Article URL: https://daniel.haxx.se/blog/2026/06/15/curl-summer-of-bliss/ Comments URL: https://news.ycombinator.com/item?id=48537165 Points: 280 # Comments: 71 https://pulse-3k2.pages.dev/news/0fc21c690992 2026-07-02 monthly 0.7 https://preview.redd.it/t3z3w078vd7h1.png?width=140&amp;height=140&amp;auto=webp&amp;s=a07724907dd9508273f1d7dd50380daee56261d5 I ported EXL3 to run well on Apple Silicon - PonyExl3 Hi guys, Beam's here. After I revamped the chat interface in oMLX, I was playing with turboderp's exllamav3 in my RTX 4090 machine and I wonder why can't I run this on my M5/M1 Max - so I built one. h https://pulse-3k2.pages.dev/news/bb3969aac6c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54e02daca162 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8edad02aa41d 2026-07-02 monthly 0.7 https://platform.claude.com/docs/og?locale=en&amp;path=cli-sdks-libraries/libraries/apple-foundation-models Apple Foundation Models Article URL: https://platform.claude.com/docs/en/cli-sdks-libraries/libraries/apple-foundation-models Comments URL: https://news.ycombinator.com/item?id=48536776 Points: 305 # Comments: 133 https://pulse-3k2.pages.dev/news/f8cc58952712 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d9bbc0bb3c70 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Editing 1 Neuron Fix Repetition Loops in LLMs? arXiv:2606.13705v1 Announce Type: new Abstract: Yes. Can it cure doom loops? Probably not. The Gemma 4 instruction-tuned models share a reproducible failure: on long factual enumeration prompts, such https://pulse-3k2.pages.dev/news/ec929b57a180 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient On-Device Diffusion LLM Inference with Mobile NPU arXiv:2606.13740v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) accelerate generation by denoising multiple tokens in parallel, making them attractive for latency-sensitive mob https://pulse-3k2.pages.dev/news/01ed1e17cbea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png High-Frequency Pricing at Scale for E-Commerce arXiv:2606.13741v1 Announce Type: new Abstract: This paper presents the design, development, and implementation of a specialized forecast-then-optimize algorithmic pricing tool for sales campaigns in https://pulse-3k2.pages.dev/news/65bc69f0a783 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A fully GPU-based workflow for building physics emulators of hypersonic flows arXiv:2606.13742v1 Announce Type: new Abstract: The ability to resolve complex physical phenomena with high fidelity and at low computational cost is central to addressing key challenges in modern eng https://pulse-3k2.pages.dev/news/a0ec4995b429 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FedSPC: Shared Parameter Correction for Personalized Federated Learning arXiv:2606.13748v1 Announce Type: new Abstract: Personalized federated learning (PFL) is one of the important approaches in federated learning for addressing statistical heterogeneity while enabling c https://pulse-3k2.pages.dev/news/100340c46aa4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Weight Norm Sets the Grokking Timescale: A Causal Delay Law arXiv:2606.13753v1 Announce Type: new Abstract: Grokking is the delayed onset of generalization in neural networks, arising long after they fit the training data. Whether the weight norm causes this d https://pulse-3k2.pages.dev/news/e5e9266b8c68 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png D2H-AD: A Hybrid Model Utilizing Hyperdimensional Computing for Advanced Anomaly Detection arXiv:2606.13754v1 Announce Type: new Abstract: Anomaly detection is a fundamental component of intelligent systems with applications in healthcare, cybersecurity, smart grids, and IoT environments. A https://pulse-3k2.pages.dev/news/b3b04dcb5e83 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond LoRA: Is Sparsity-Induced Adaptation Better? arXiv:2606.13767v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) and its variants provide a memory- and compute-efficient alternative to full fine-tuning of pre-trained models. However, ques https://pulse-3k2.pages.dev/news/2d69fbe5ed9f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffusion Policy Optimization without Drifting Apart arXiv:2606.13795v1 Announce Type: new Abstract: RL post-training has become increasingly pivotal for improving diffusion policies, but existing diffusion policy-gradient methods are often unstable and https://pulse-3k2.pages.dev/news/2c4a338149cf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Variability Enhances Artificial Network Robustness arXiv:2606.13801v1 Announce Type: new Abstract: Neural responses in cortex exhibit substantial trial-to-trial variability in response to repeated stimuli, while peripheral sensory neurons respond far https://pulse-3k2.pages.dev/news/eb2d0178c6d1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neural Slack Variables for Shape Constraints arXiv:2606.13803v1 Announce Type: new Abstract: Enforcing functional inequality constraints such as monotonicity and convexity in neural networks is a fundamental challenge in many industrial and scie https://pulse-3k2.pages.dev/news/381a73c4e26c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty Estimation and Generalization Bounds for Modern Deep Learning arXiv:2606.13818v1 Announce Type: new Abstract: This thesis investigates how Bayesian principles can deepen our understanding of modern deep learning systems. While neural networks achieve remarkable https://pulse-3k2.pages.dev/news/fa17eddae82b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Attention-Based Estimation of the Individual Treatment Benefit Probability under Dose Variation arXiv:2606.13821v1 Announce Type: new Abstract: Estimating the probability that a treatment outperforms a control for an individual patient, called the Individual Probability of Treatment Benefit (IPT https://pulse-3k2.pages.dev/news/3ec53e3518e0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Stationarity-and-Coupling Criterion for Training-Free Time-Lagged Spectral Embeddings of Multivariate Time Series arXiv:2606.13823v1 Announce Type: new Abstract: We study training-free fixed-length descriptors for multivariate time series and ask not merely whether such a descriptor performs well, but when it can https://pulse-3k2.pages.dev/news/4f016ca1b734 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SuperThoughts: Reasoning Tokens in Superposition arXiv:2606.13862v1 Announce Type: cross Abstract: Long Chain-of-Thought (CoT) reasoning improves LLM problem-solving but is computationally expensive due to sequential token generation. While recent w https://pulse-3k2.pages.dev/news/af01038be268 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Muon$^p$: Muon with Fractional Spectral Powers arXiv:2606.13867v1 Announce Type: new Abstract: Muon is an increasingly widely used optimizer that replaces a gradient $G=USV^\top$ with its polar factor $UV^\top$, thereby flattening the singular spe https://pulse-3k2.pages.dev/news/f0c27c970de3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Natively Unlearnable Large Language Models arXiv:2606.13873v1 Announce Type: cross Abstract: Unlearning aims to remove the influence of specific training data sources, but this has proved challenging because the contributions of different sour https://pulse-3k2.pages.dev/news/21d8eec6ebb5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Longitudinal Attribute-Conditioned Neural Network for Modeling Health-State Transition Probabilities in Temporally Irregular Data: The LANTERN Framework arXiv:2606.13880v1 Announce Type: new Abstract: Accurate estimation of long-term care transition probabilities is central to disability insurance pricing, reserving, and solvency assessment. Classical https://pulse-3k2.pages.dev/news/f40863e0e8b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gefen: Optimized Stochastic Optimizer arXiv:2606.13894v1 Announce Type: cross Abstract: AdamW is a default optimizer for modern deep learning, but its first and second moment states add roughly two parameter-sized buffers to training memo https://pulse-3k2.pages.dev/news/aa56270f6421 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SpikF-GO: Spiking Fourier Graph Operators for Multivariate Time Series Forecasting arXiv:2606.13901v1 Announce Type: new Abstract: Spiking Neural Networks (SNNs) have emerged as an energy-efficient alternative to conventional neural networks, demonstrating strong performance in comp https://pulse-3k2.pages.dev/news/e3628e5af3bb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Smoothing Dark Areas in Molecular Latent Diffusion arXiv:2606.13955v1 Announce Type: new Abstract: Latent diffusion is a promising framework for scalable 3D molecular generation, but it requires a latent space that remains smooth, valid, and navigable https://pulse-3k2.pages.dev/news/25c006c8ded1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Machine Learning Forecast Rice Yields in Data-Constrained Settings? Satellite Climate Data, National Crop Statistics, and Lessons from Sierra Leone arXiv:2606.13959v1 Announce Type: new Abstract: Sierra Leone's agriculture operates with almost no data-driven decision support, and no published machine learning study has examined the country's crop https://pulse-3k2.pages.dev/news/fac94dbe47f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PostDeg: Placement Beats Parameterization in LayerNorm GNNs arXiv:2606.14022v1 Announce Type: new Abstract: LayerNorm-based GNNs routinely erase the topology signals (degree, centrality, $k$-core) that node-selection policies should depend on, but the literatu https://pulse-3k2.pages.dev/news/319804d8b4ff 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Utility-Constrained Policy Optimization arXiv:2606.14029v1 Announce Type: new Abstract: Constrained MDPs (CMDPs) are a widely adopted framework for incorporating safety into RL agents; however, the framework does not support risk-sensitive https://pulse-3k2.pages.dev/news/fa74cb89a667 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decompose Sparsely Where You Should, Absorb Densely Where You Should No arXiv:2606.14040v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) are typically trained to reconstruct the \textbf{entire} residual stream through a sparse dictionary, implicitly assuming tha https://pulse-3k2.pages.dev/news/449c0766d036 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Non-Parametric Machine Text Detection via Multi-View Gaussian Processes arXiv:2606.14060v1 Announce Type: cross Abstract: Adversarial conditions such as paraphrasing and targeted style transfer sharply degrade the accuracy of machine text detectors. A document, however, c https://pulse-3k2.pages.dev/news/406cb6f4d8f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Backdoor Adversarial Unlearning through the Lens of Catastrophic Forgetting in Continual Learning arXiv:2606.14078v1 Announce Type: new Abstract: Existing studies reveal that current backdoor defenses exhibit limited robustness and often fail against specific types of attacks. More concerningly, p https://pulse-3k2.pages.dev/news/452dc6f00725 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Deep Spectral Learning of Embedded Latent Transfer Operators for Stochastic Dynamical Systems arXiv:2606.14079v1 Announce Type: new Abstract: We propose a spectral learning method for stochastic nonlinear dynamical systems represented with embedded latent transfer operators in deep feature spa https://pulse-3k2.pages.dev/news/cdc6a0c04593 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs arXiv:2606.14095v1 Announce Type: new Abstract: We study the sample complexity of learning in average-reward weakly-coupled Markov decision processes (WCMDPs) and Restless Bandits (RBs) under a genera https://pulse-3k2.pages.dev/news/142a8b757320 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Numbers Already Carry Their Own Embeddings arXiv:2606.14108v1 Announce Type: new Abstract: We introduce Adelic operation-preserved embeddings (AOE), a training-free representation that captures both a number's real value and its modular (p-adi https://pulse-3k2.pages.dev/news/8459c77c4ff6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DTVEM-RE: A Hierarchical Random-Effects Extension of the Differential Time-Varying Effect Model for Person-Specific Multi-Lag Estimation in Intensive Longitudinal Data arXiv:2606.14116v1 Announce Type: new Abstract: The Differential Time-Varying Effect Model (DTVEM) of Jacobson et al. (2019) is a popular tool for finding the best time lag in intensive longitudinal d https://pulse-3k2.pages.dev/news/36747870b04b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recovering Stranded Discrimination in Knowledge Tracing: Per-Item Bias Correction via Empirical-Bayes Shrinkage arXiv:2606.14123v1 Announce Type: new Abstract: Deployed knowledge-tracing models are typically frozen after training, yet systematic per-item logit bias arises, from limited per-item expressivity in https://pulse-3k2.pages.dev/news/8fb92dc523c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Contract-Based Compositional Shielding for Safe Multi-Agent Reinforcement Learning arXiv:2606.14130v1 Announce Type: new Abstract: Safe coordination problems surface in multi-agent reinforcement learning when global safety cannot be enforced by any agent unilaterally: the admissibil https://pulse-3k2.pages.dev/news/4d34b97c8fea 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decoupled Latent Optimization of Diffusion Models for Full Waveform Inversion arXiv:2606.14139v1 Announce Type: new Abstract: Full waveform inversion (FWI) recovers subsurface velocity from seismic recordings by solving a severely ill-posed, nonconvex PDE-constrained optimizati https://pulse-3k2.pages.dev/news/d1b00b2e0790 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trust but Verify: Mitigating Medical Hallucinations via Post-Hoc Adversarial Auditing and Multi-Agent Feedback Loops arXiv:2606.14149v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly deployed in healthcare settings, yet their tendency to hallucinate poses risks when clinical decisions are https://pulse-3k2.pages.dev/news/4aa250b4ee53 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Small LLMs: Pruning vs. Training from Scratch arXiv:2606.14150v1 Announce Type: cross Abstract: Pruning promises a shortcut to strong small language models. In this work, we examine this promise by pruning Llama-3.1-8B at pruning ratios of 0.5--0 https://pulse-3k2.pages.dev/news/afda919643d7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph-based Target Back-Propagation for Context Adaptation in Multi-LLM Agentic Systems arXiv:2606.14155v1 Announce Type: cross Abstract: Context adaptation automates prompt engineering in LLM-based systems by iteratively revising tunable prompts from task feedback, without modifying mod https://pulse-3k2.pages.dev/news/38c93ee8decb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning High Coverage Discriminative Parsimonious Rulesets arXiv:2606.14156v1 Announce Type: new Abstract: Learning systems based on IF-THEN rule representations readily offer interpretability, making them a crucial focus in contemporary AI research. A key ob https://pulse-3k2.pages.dev/news/8c9e8ed009f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning Urban Access Costs from Origin-Destination Flows via Inverse Optimal Transport arXiv:2606.14157v1 Announce Type: new Abstract: Cities deliver basic services through mixed public-private facility networks, including schools, clinics, transit providers, and subsidized service poin https://pulse-3k2.pages.dev/news/82ebf3a7ce01 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Curvature-Guided Geometric Representation for Protein-Ligand Binding Affinity Prediction arXiv:2606.14159v1 Announce Type: new Abstract: Protein-ligand binding affinity (PLA) prediction is critical in drug discovery. Despite the notable advancements in machine learning-based approaches, e https://pulse-3k2.pages.dev/news/28495d75894f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation arXiv:2606.14169v1 Announce Type: new Abstract: Raman spectroscopy provides label-free, chemically specific characterization of biological systems and has become an important tool for cancer diagnosis https://pulse-3k2.pages.dev/news/8a4027c89a63 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Context-aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs arXiv:2606.14172v1 Announce Type: new Abstract: Multimodal Attributed Graphs (MAGs) model real-world entities by coupling graph topology with heterogeneous attributes such as text and images. They sup https://pulse-3k2.pages.dev/news/7fb4446379bf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zeta: Dual Whitening for Matrix Optimization via Coordinate-Adaptive Preconditioning arXiv:2606.14187v1 Announce Type: new Abstract: Large-scale neural network training increasingly relies on matrix-aware optimizers that exploit the structure of weight parameters beyond element-wise a https://pulse-3k2.pages.dev/news/72d6f753fedb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation arXiv:2606.14192v1 Announce Type: new Abstract: Auto-bidding is a core component of real-time advertising systems, where decisions must optimize long-term performance under budget and cost constraints https://pulse-3k2.pages.dev/news/30a602a81617 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structured Noise Adaptation for Sequential Bayesian Filtering with Embedded Latent Transfer Operators arXiv:2606.14195v1 Announce Type: new Abstract: Kalman filters based on the Embedded Latent Transfer Operators (ELTO) emerge as novel statistical tools for sequential state estimation. However, a crit https://pulse-3k2.pages.dev/news/53cfc6b1bcb3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LapidaryEngine: Fully Conversational Crystal Generation arXiv:2606.14215v1 Announce Type: new Abstract: The emergence of Large Language Models (LLMs) has inspired the vision of generating bespoke crystal materials directly from natural-language instruction https://pulse-3k2.pages.dev/news/60941292054c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Curvature-Informed Potential Energy Surface for Protein-Ligand Binding Affinity Prediction arXiv:2606.14217v1 Announce Type: new Abstract: Accurate prediction of protein-ligand binding affinity is essential for structure-based drug discovery. Recent geometric deep learning methods have achi https://pulse-3k2.pages.dev/news/bcac9fa8f418 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models arXiv:2606.14222v1 Announce Type: new Abstract: The rapid evolution of Time Series Foundation Models (TSFMs) has advanced zero-shot forecasting across diverse domains. Inspired by the current form of https://pulse-3k2.pages.dev/news/a0f56bf2ef10 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Implicit Variational Rejection Sampling arXiv:2606.14235v1 Announce Type: new Abstract: Variational Inference (VI) is a fundamental inference technique in Bayesian machine learning for approximating complex posterior distributions. Traditio https://pulse-3k2.pages.dev/news/e185935a020a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability arXiv:2606.14245v1 Announce Type: new Abstract: Drug-target interaction (DTI) and affinity (DTA) predictors increasingly achieve strong benchmark scores, yet their internal use of sequence, fingerprin https://pulse-3k2.pages.dev/news/2274b85db417 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond a Single Explanation of the Adam--SGD Gap arXiv:2606.14259v1 Announce Type: new Abstract: Prior work has identified several factors that can contribute to the performance gap between Adam and SGD, spanning data aspects, architecture design, a https://pulse-3k2.pages.dev/news/593d0dc9bf76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DIFF-ERO: A Conformance-Aware Loss for Deep Learning in Process Mining arXiv:2606.14283v1 Announce Type: new Abstract: Deep learning has driven many recent advances in process analytics, especially for predictive and prescriptive monitoring. However, standard objectives https://pulse-3k2.pages.dev/news/010dc72f279d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection arXiv:2606.14284v1 Announce Type: new Abstract: Time series prototype learning is fundamentally challenged by observational ambiguity. Discrete architectures fail to resolve this, as they lack the cap https://pulse-3k2.pages.dev/news/483be226015c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Riemannian Metric Matching for Scalable Geometric Modeling of Distributions arXiv:2606.14334v1 Announce Type: new Abstract: High-dimensional datasets often concentrate near low-dimensional structures, but estimating their geometry from samples typically relies on graphs and k https://pulse-3k2.pages.dev/news/242563da5f55 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png More with LESS -- Local Scene Representations for Tactile Imaging arXiv:2606.14344v1 Announce Type: new Abstract: Tactile imaging seeks to reconstruct the internal structure of soft objects through touch sensing, with applications in medical diagnosis and robotic ma https://pulse-3k2.pages.dev/news/8e7cec7baaba 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Squeeze-Release: Iterative Pruning with Exact Structural Minimization arXiv:2606.14346v1 Announce Type: new Abstract: Unstructured pruning produces sparse weight tensors, but the standard implementation keeps tensor shapes unchanged so the deployed model is no smaller t https://pulse-3k2.pages.dev/news/676b9df05598 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Language Representations Interact: Separability and Cross-Lingual Effects in LLMs arXiv:2606.14347v1 Announce Type: new Abstract: Large language models exhibit strong multilingual capabilities, however, their internal representations are difficult to interpret. Understanding these https://pulse-3k2.pages.dev/news/3bcf440d9552 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Deep Neural Networks Improve Compression of Very Large Scientific Data? arXiv:2606.14353v1 Announce Type: new Abstract: Error-bounded lossy compression is a fundamental technique for managing the rapidly growing volumes of scientific data produced by modern simulations an https://pulse-3k2.pages.dev/news/c1633167b9e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MUFFLe: Efficient Model Update Compression via Generalized Deduplication for Federated Learning arXiv:2606.14354v1 Announce Type: new Abstract: Federated learning is well suited to edge environments but is often limited by the uplink cost of transmitting model updates. This Work-in-Progress pape https://pulse-3k2.pages.dev/news/9bf21425dec1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SemPiper: Interactive Code Synthesis for Semantic Operators in Machine Learning Pipelines arXiv:2606.14361v1 Announce Type: new Abstract: Machine learning (ML) pipelines require extensive data preparation, feature engineering, and integration across heterogeneous sources, making them tedio https://pulse-3k2.pages.dev/news/876206d44e0d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Be My Tutor: On-Policy Co-Distillation for Mutual LLM Improvement via Peer Feedback arXiv:2606.14368v1 Announce Type: cross Abstract: We study multi-domain LLM training in which two models, each stronger in a different domain, co-evolve by tutoring each other through on-policy feedba https://pulse-3k2.pages.dev/news/05345daf3a18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Discovery under Hypothesis Redundancy: A Geometric Theory of Discovery Bottlenecks arXiv:2606.14386v1 Announce Type: new Abstract: Scientific discovery saturates when new hypotheses cease to provide independent information, even if the nominal hypothesis space remains large. We stud https://pulse-3k2.pages.dev/news/8a3b0fba6b0e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Low-Rank Subspace Analysis of LLM Interventions arXiv:2606.14388v1 Announce Type: new Abstract: Interventions designed to modify a particular behavior in LLMs, such as refusal or sycophancy, often produce unintended changes in other behaviors. This https://pulse-3k2.pages.dev/news/410fc4b4bc93 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments arXiv:2606.14397v1 Announce Type: new Abstract: As agentic systems continue to evolve and are widely deployed in real-world scenarios, there is a growing demand to faithfully evaluate their capabiliti https://pulse-3k2.pages.dev/news/ba7e9657269a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A theoretical model for task routing in mixture-of-expert transformers arXiv:2606.14398v1 Announce Type: new Abstract: Mixture-of-experts (MoE) layers enable the scaling of transformer models while keeping the inference compute fixed. While task-expert specialization has https://pulse-3k2.pages.dev/news/7260226003b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Federated Learning for Feature Generalization with Convex Constraints arXiv:2606.14416v1 Announce Type: new Abstract: Federated learning (FL) often struggles with generalization due to heterogeneous client data. Local models are prone to overfitting their local data dis https://pulse-3k2.pages.dev/news/bc1960c9615f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EM-NeSy: Expectation Maximization for Neurosymbolic Learning arXiv:2606.14463v1 Announce Type: new Abstract: Neurosymbolic (NeSy) models integrate neural networks and symbolic reasoning for robust and interpretable AI. State-of-the-art NeSy models require that https://pulse-3k2.pages.dev/news/878431002a0b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recipe-Controlled Decoder Audit for Structural Knowledge-Graph Completion arXiv:2606.14492v1 Announce Type: new Abstract: We present a recipe-controlled decoder audit (RCDA) for structural transductive knowledge-graph completion (KGC). The audit asks a simple reporting ques https://pulse-3k2.pages.dev/news/9d3a72007ca5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PepALD: Macrocyclic Peptide Generation via Autoregressive Latent Diffusion arXiv:2606.14510v1 Announce Type: new Abstract: Macrocyclic peptides are promising therapeutic candidates for intracellular targets, but their design requires simultaneous control over non-natural mon https://pulse-3k2.pages.dev/news/48f94ac0d3a7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Behavioral Audit of Machine Unlearning Has a Privacy Cost arXiv:2606.14518v1 Announce Type: new Abstract: The removal of learned data from Machine Learning models through Machine Unlearning (MU) has been widely studied; however, there has yet to be an agreed https://pulse-3k2.pages.dev/news/d8bde1f33a86 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Code Correctness Signals in LLM Hidden States: Pre-Generation Probing and Repair Geometry arXiv:2606.14530v1 Announce Type: new Abstract: Large language models encode rich information in their hidden states. This work asks whether code correctness is legible in the hidden states of Qwen3-4 https://pulse-3k2.pages.dev/news/52d95d2aa269 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Risk Shadow of Principal Component Analysis: When 99.9999% Variance Preservation Causes Catastrophic Decision Errors arXiv:2606.14533v1 Announce Type: new Abstract: Principal Component Analysis (PCA) preserves variance, not the information needed to detect rare catastrophic events. This paper proves the existence of https://pulse-3k2.pages.dev/news/39880d4fbe0f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Provably Safe, Yet Scalable Reinforcement Learning arXiv:2606.14536v1 Announce Type: new Abstract: Safe reinforcement learning (RL) aims to learn policies that optimize rewards while satisfying constraints. Predominant approaches rely on soft-constrai https://pulse-3k2.pages.dev/news/f83df9e5ccb7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CARE: Controlling LLM-Generated Policies through Auditable Review of Evidence in Scientific Experimentation arXiv:2606.14581v1 Announce Type: new Abstract: Granting LLMs direct control over costly, irreversible scientific experiments leads to unsafe exploration and unstable performance, but discarding LLM c https://pulse-3k2.pages.dev/news/b70bdd0edaf5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-shot generalization of transformer neural operators to larger domains arXiv:2606.14597v1 Announce Type: new Abstract: Transformer-based neural operators have shown remarkable performance for approximating solution operators of partial differential equations on complex g https://pulse-3k2.pages.dev/news/79b200ed2475 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Realizing Native INT8 Compute for Diffusion Transformers on Consumer GPUs: A Fused INT8 GEMM Kernel for Ideogram 4.0 arXiv:2606.14598v1 Announce Type: new Abstract: Post-training INT8 (W8A8) quantization of diffusion transformers is widely deployed as a speed optimization, yet on consumer Ampere GPUs it is frequentl https://pulse-3k2.pages.dev/news/b2446f6b759f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Statistical and Machine Learning Framework for Operational Threshold Detection and Deployable Dispatch Controller Development in Hydrogen Multi-Energy Systems arXiv:2606.14601v1 Announce Type: new Abstract: This study presents a statistical and machine learning framework for characterizing a hydrogen-based multi-energy system (H-MES) using one year of high- https://pulse-3k2.pages.dev/news/2210e0b139b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Comparative Study of Deep Learning Architectures for Multi-Horizon Behavioural Forecasting for Mobile Health arXiv:2606.14604v1 Announce Type: new Abstract: Wearable devices and smartphones generate rich behavioural time series that can support proactive health interventions, yet systematic comparisons of mo https://pulse-3k2.pages.dev/news/616d82bf7a46 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Expert-Driven Survival Machines: Improving Stratification and Interpretability in Multiple Clinical Cohorts arXiv:2606.14608v1 Announce Type: new Abstract: Survival prediction plays a central role for healthcare providers and clinical researchers. Accurate risk stratification enables early intervention and https://pulse-3k2.pages.dev/news/6f7d969f262d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Neither Parallel Nor Sequential: How DiffusionGemma Actually Commits Tokens arXiv:2606.14620v1 Announce Type: new Abstract: Open diffusion language models are marketed as parallel, non-autoregressive decoders, yet the order in which a shipped checkpoint actually commits its t https://pulse-3k2.pages.dev/news/ad61b2ad2b0a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph Diffusion Residuals for Control-Function Instrumental Variables arXiv:2606.14636v1 Announce Type: new Abstract: Control-function instrumental variable estimators need a first-stage residual, not merely a first-stage prediction. High-capacity first stages can inter https://pulse-3k2.pages.dev/news/153f3423ee03 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Online Convex Optimization with Sublinear Noisy Probes arXiv:2606.14640v1 Announce Type: new Abstract: We study Online Convex Optimization (OCO) over a convex set $K\subseteq \mathbb R^d$, where in each round $t$ the learner selects $x_t\in K$ and then ob https://pulse-3k2.pages.dev/news/e100404ec26b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Which Directions Matter? Sparse Design for Affine Robust Optimization arXiv:2606.14648v1 Announce Type: new Abstract: Robust machine learning and optimization rely on the uncertainty model choice. We investigate which uncertainty directions a model must cover when defin https://pulse-3k2.pages.dev/news/c317e40a633b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Graph Structured Combinatorial Semi-Bandit with Nonlinear Reward Associations through Separable Signals arXiv:2606.14650v1 Announce Type: new Abstract: The identification of optimal structures within vast arrays of interconnected data necessitates significant sampling- and computational effort. Learning https://pulse-3k2.pages.dev/news/470bb463f405 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond task performance: Decoding bioacoustic embeddings with speech features arXiv:2606.14662v1 Announce Type: new Abstract: Pretrained audio embeddings are standard in bioacoustics, yet little is known about which acoustic features these models encode, nor which are useful fo https://pulse-3k2.pages.dev/news/679ff7065806 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing arXiv:2606.14668v1 Announce Type: new Abstract: Knowledge editing systems must update selected facts while preserving nearby but irrelevant behavior. This paper studies this problem in a memory-assist https://pulse-3k2.pages.dev/news/6aaea4d074bf 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Compressed Computation is (probably) not Computation in Superposition arXiv:2606.14673v1 Announce Type: new Abstract: We study whether the Compressed Computation (CC) toy model (Braun et al., 2025) is an instance of computation in superposition. The CC model appears to https://pulse-3k2.pages.dev/news/120cedb7c871 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Optimal Hidden-Target Learning for Online Inventory Optimization on General Convex Sets arXiv:2606.14679v1 Announce Type: new Abstract: Online inventory optimization (OIO) is online convex optimization with physical memory: inventory carryover makes the feasible action set depend on the https://pulse-3k2.pages.dev/news/15e3a7d1cf8b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Flood and Harvest: The Provable Necessity of Trivia for Generating Valuable Mathematics via the Lens of Language Generation in the Limit arXiv:2606.14688v1 Announce Type: cross Abstract: AI systems coupled to proof assistants now generate formal mathematics at scale, and the gap between what a checker can verify and what a mathematicia https://pulse-3k2.pages.dev/news/d446bca5ba48 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Complexity Measure for Active Learning in Multi-group Mean Estimation arXiv:2606.14690v1 Announce Type: new Abstract: We study a \emph{max-risk} objective for active learning in a multi-group mean estimation $d$-armed bandits: a learner adaptively allocates a budget of https://pulse-3k2.pages.dev/news/1fd5d5a9199f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Persona-Pruner: Sculpting Lightweight Models for Role-Playing arXiv:2606.14695v1 Announce Type: cross Abstract: Language Models (LMs) have shown remarkable potential as role-playing chatbots, delivering consistent, stylized interactions when given a specificatio https://pulse-3k2.pages.dev/news/efdb182a8988 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem arXiv:2606.13682v1 Announce Type: cross Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains computationally challenging as the number of jobs a https://pulse-3k2.pages.dev/news/336acae3a26e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs arXiv:2606.13684v1 Announce Type: cross Abstract: Automatic Bloom's taxonomy classification of assessment questions can substantially reduce instructor workload, but labeling is subjective and teacher https://pulse-3k2.pages.dev/news/c59df86201c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention arXiv:2606.13694v1 Announce Type: cross Abstract: Mobile sleep staging serves as a foundational infrastructure for in-home sleep monitoring and closed-loop modulation. But existing sequential models s https://pulse-3k2.pages.dev/news/4d5b68b025cc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling arXiv:2606.13695v1 Announce Type: cross Abstract: Mineral prospectivity modelling (MPM) underpins exploration economics, yet most operational pipelines reduce to data-driven classifiers trained on sha https://pulse-3k2.pages.dev/news/62a67be253d6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AGORA: Can Deliberation and Governance Gates Absorb Participation Bias in Transit Planning? arXiv:2606.13696v1 Announce Type: cross Abstract: Transit network design depends not only on the optimization algorithm but also on who shows up to the public hearing. Current practice often collects https://pulse-3k2.pages.dev/news/562eb59a8f62 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Active Inference for Adaptive Traffic Signal Control in Noisy Nonstationary IoT Environments arXiv:2606.13698v1 Announce Type: cross Abstract: Urban traffic signal control at IoT-instrumented intersections must remain effective under sensor occlusion, weather attenuation, and nonstationary de https://pulse-3k2.pages.dev/news/669ee5a9e5e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Position: AI Must Become Planet-Centered, Not Just Human-Centered arXiv:2606.13704v1 Announce Type: cross Abstract: This position paper argues that contemporary AI paradigms are insufficient for supporting complex global goals and introduces Planet-Centered AI (PCAI https://pulse-3k2.pages.dev/news/7c53eeaf395b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models arXiv:2606.13709v1 Announce Type: cross Abstract: We study controlled post-training refusal suppression in routed MoE and hybrid-MoE foundation models, aiming to increase non-refusal target-response b https://pulse-3k2.pages.dev/news/7a4ee9113258 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher arXiv:2606.13710v1 Announce Type: cross Abstract: Deep research and agent evolution serve as de-facto tasks for AI agents in real-world applications toward artificial general intelligence. The former https://pulse-3k2.pages.dev/news/8b68ede43e52 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Coin Flip Judge? Reliability and Bias in LLM-as-a-Judge Evaluation arXiv:2606.13685v1 Announce Type: new Abstract: LLM-as-a-Judge is now widely used to rank model outputs, train reward models, and populate public leaderboards, but its run-to-run reliability remains u https://pulse-3k2.pages.dev/news/f07b7ab749b8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces arXiv:2606.13686v1 Announce Type: new Abstract: As autonomous web agents are increasingly deployed to perform real-world tasks, ensuring their safety has become a critical concern. In this work, we st https://pulse-3k2.pages.dev/news/f1f3b4b63829 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Which Models Perform Better in Inheritance Reasoning? arXiv:2606.13751v1 Announce Type: new Abstract: This paper presents the participation of team PSL in the QIAS 2026 Shared Task on Arabic Islamic inheritance reasoning. The task evaluates the ability o https://pulse-3k2.pages.dev/news/4c56ea3defde 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png QIAS 2026: Overview of the Shared Task on Islamic Inheritance Reasoning arXiv:2606.13756v1 Announce Type: new Abstract: This paper presents a comprehensive overview of the QIAS 2026 shared task, organized as part of the OSACT7 Workshop and co-located with LREC 2026. The s https://pulse-3k2.pages.dev/news/1a528bdd8dc1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Culture Funnel: You Can't Align What isn't in the Data arXiv:2606.13808v1 Announce Type: new Abstract: Current cultural alignment approaches focus on inference-time interventions, assuming models already contain sufficient cultural knowledge. We argue mod https://pulse-3k2.pages.dev/news/712229dbbca8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Plausible Is Not Realistic: Evaluating Human Mobility in LLM-Based Urban Simulation arXiv:2606.13835v1 Announce Type: new Abstract: LLM-based generative agents are increasingly used in urban simulators, yet it remains unclear whether they reproduce empirically realistic human mobilit https://pulse-3k2.pages.dev/news/9839cd5e5ac9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Hybrid Classical-Quantum Variational Autoencoder for Neural Topic Modeling arXiv:2606.13852v1 Announce Type: new Abstract: Neural topic models enable scalable semantic discovery, but their integration with quantum hardware remains largely unexplored. We present a proof-of-co https://pulse-3k2.pages.dev/news/ee54d0534887 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SANA: What Matters for QA Agents over Massive Data Lakes? arXiv:2606.13904v1 Announce Type: new Abstract: Exploratory question answering (EQA) over data lakes requires an LLM agent to discover relevant sources, analyze retrieved data, and adapt its actions b https://pulse-3k2.pages.dev/news/14211500f008 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation arXiv:2606.13931v1 Announce Type: new Abstract: Lawyer-client consultation is a critical starting point for legal services. Effective legal assistance hinges on eliciting sufficient and truthful infor https://pulse-3k2.pages.dev/news/99f322dd76db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can Post-Training Turn LLMs into Good Medical Coders? An Empirical Study of Generative ICD Coding arXiv:2606.13940v1 Announce Type: new Abstract: Automated International Classification of Diseases (ICD) coding is a core medical-coding task for billing, epidemiology, and clinical decision support. https://pulse-3k2.pages.dev/news/88744b8c49af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMs Contain Multitudes: How Deployment Context Reshapes Model-Level Preferences and Values arXiv:2606.13944v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly characterised in recent evaluation work as having stable, model-level preference and value systems. Howeve https://pulse-3k2.pages.dev/news/1804fc5df684 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MedLatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis arXiv:2606.13945v1 Announce Type: new Abstract: Rare diseases affect over $300$ million patients across more than $7{,}000$ conditions, yet no single hospital encounters enough cases of any one condit https://pulse-3k2.pages.dev/news/888da45afdf6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Creative Integration: A Decidable Criterion of Creativity arXiv:2606.13977v1 Announce Type: new Abstract: "Integrative" solutions are widely praised but rarely defined: we lack an operational way to tell a genuine integration -- one that makes the world chea https://pulse-3k2.pages.dev/news/354d4600d8d3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fusing Stylometric and Embedding Systems to Estimate Authorship Likelihood Ratios in Japanese arXiv:2606.13991v1 Announce Type: new Abstract: The likelihood ratio framework is widely recognized as the logically and legally sound basis for evidential analysis across forensic sciences, and its i https://pulse-3k2.pages.dev/news/1a63889b0a5c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Holistic Storage of Verb+Up Phrases in Text-based and Audio-based Language Models arXiv:2606.13993v1 Announce Type: new Abstract: A crucial aspect of linguistic capability is the ability to trade off between stored representations and abstract knowledge: one must retrieve learned r https://pulse-3k2.pages.dev/news/70ae9d4a16cc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dialogue SWE-Bench: A Benchmark for Dialogue-Driven Coding Agents arXiv:2606.13995v1 Announce Type: new Abstract: AI coding agents have rapidly transformed software engineering, powering widely used interactive coding assistants. Despite their interactive real-world https://pulse-3k2.pages.dev/news/0ebdd0c19cde 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Right or Wrong, Models Comply: Directional Blindness in LLM Moral Judgment arXiv:2606.14037v1 Announce Type: new Abstract: As language models take integrated roles across many domains, the response of LLMs to user pushback becomes a critical alignment property. Yet many exis https://pulse-3k2.pages.dev/news/48435cfc749a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Harsher on Male? Evaluating LLMs on Gender-Asymmetric Moral Framing Across Diverse Conflict Scenarios arXiv:2606.14068v1 Announce Type: new Abstract: Existing studies on gender bias in LLMs have largely focused on stereotypes, occupational associations, or explicit harmful outputs. In this work, we as https://pulse-3k2.pages.dev/news/ca65d2a84061 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Perplexity: UTF-8 Validity in Byte-aware Language Models arXiv:2606.14122v1 Announce Type: new Abstract: Byte-level tokenization enables language models to handle any Unicode input, but models can generate invalid UTF-8 sequences when encountering rare or u https://pulse-3k2.pages.dev/news/50c594df058f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Implicit Reasoning for Large Language Model-based Generative Recommendation arXiv:2606.14142v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly adopted as backbones for Generative Recommendation (GR), promising access to pretrained world knowledge. Y https://pulse-3k2.pages.dev/news/733b17b536a1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Personal Care Utility: Health as Everyday Infrastructure arXiv:2606.14145v1 Announce Type: new Abstract: Healthcare is essential, expert, and episodic by design - built around the roughly one hour per year a person spends with a clinician. The 8,759 hours o https://pulse-3k2.pages.dev/news/1a249f011f80 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CacheRL:Multi-Turn Tool-Calling Agents via Cached Rollouts and Hybrid Reward arXiv:2606.14179v1 Announce Type: new Abstract: We present CacheRL, a system for training small agent foundation models that achieves 92 percent process accuracy on multi-step tool-calling tasks, appr https://pulse-3k2.pages.dev/news/38942c38e437 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OdysSim: Building Foundation Models for Human Behavior Simulation arXiv:2606.14199v1 Announce Type: new Abstract: Large language models are increasingly deployed as human simulators for interactive evaluation and social simulation. Yet helpfulness-driven post-traini https://pulse-3k2.pages.dev/news/fead99a6707d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detecting undisclosed LLM-generated content in parliamentary texts arXiv:2606.14209v1 Announce Type: new Abstract: In this paper, we evaluate the extent of undisclosed LLM-generated content in texts from the parliaments of the United Kingdom and Sweden. In many areas https://pulse-3k2.pages.dev/news/26b1e21ac5b1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Decoupled Mixture-of-Experts for Parametric Knowledge Injection arXiv:2606.14243v1 Announce Type: new Abstract: Knowledge injection aims to equip large language models (LLMs) with external, domain-specific, or time-sensitive knowledge. Existing approaches typicall https://pulse-3k2.pages.dev/news/f7236a00be27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Linguistics Olympiads: Towards a New Corpus for Linguistics Research? arXiv:2606.14257v1 Announce Type: new Abstract: Linguistics olympiad problems (LOPs) are a category of self-sufficient puzzles consisting of a scaled-down corpus representative of certain linguistic p https://pulse-3k2.pages.dev/news/aa791649c8ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does the Judge Prefer English? Evaluating Language-Switching Invariance in LLM-as-a-Judge arXiv:2606.14278v1 Announce Type: new Abstract: Large language models (LLMs) are now widely used as automatic judges for open-ended instruction-following evaluation. This practice is convenient, scala https://pulse-3k2.pages.dev/news/e0fdd2c90dfa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Retrospective Progress-Aware Self-Refinement for LLM Agent Training arXiv:2606.14302v1 Announce Type: new Abstract: LLM-based agents trained with reinforcement learning optimize step-wise action prediction but lack metacognitive awareness of task progress, inducing a https://pulse-3k2.pages.dev/news/1ac3a9b43e37 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation arXiv:2606.14325v1 Announce Type: new Abstract: Property Graphs are rapidly being adopted as database frameworks for representing heterogeneous data sources. To enable precise access to the informatio https://pulse-3k2.pages.dev/news/099095b9a692 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Hear Hesitation: Continual Learning for Disfluency-Aware ASR arXiv:2606.14391v1 Announce Type: new Abstract: Despite advances in large-scale Automatic Speech Recognition (ASR), disfluent speech remains challenging, as state-of-the-art systems are often optimize https://pulse-3k2.pages.dev/news/9a0bc76704f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Coping in Crisis: Computational Modeling of Coping Styles in Digital Crisis Discourse During the 2023 Turkiye Earthquake arXiv:2606.14420v1 Announce Type: new Abstract: How do people cope when disaster strikes and can we detect it at scale, in real time, from what they write? This study addresses that question using ove https://pulse-3k2.pages.dev/news/63a395778d5f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MoDiCoL: A Modular Diagnostic Continual Learning Dataset for Robust Speech Recognition arXiv:2606.14459v1 Announce Type: new Abstract: Modern Automatic Speech Recognition (ASR) systems have made remarkable progress on standard benchmarks, yet performance gaps have emerged under real-wor https://pulse-3k2.pages.dev/news/5d30ca36504e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Computational Audit of Demographic Association Encoding in ClinicalBERT Language Predictions arXiv:2606.14460v1 Announce Type: new Abstract: Transformer-based clinical language models are increasingly integrated into high-stakes clinical decision support pipelines, yet the computational mecha https://pulse-3k2.pages.dev/news/afac93f514e3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fodor and Pylyshyn's Systematicity Challenge Still Stands arXiv:2606.14512v1 Announce Type: new Abstract: The recent successes of neural networks producing human-like language have caused significant stir in cognitive science, with many researchers arguing t https://pulse-3k2.pages.dev/news/f25c30fdeea3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png BayLing-Duplex: Native Full-Duplex Speech Dialogue with a Single Autoregressive LLM arXiv:2606.14528v1 Announce Type: new Abstract: Real-time, full-duplex speech interaction is a key feature of next-generation spoken chatbots, allowing the model to listen and speak at the same time a https://pulse-3k2.pages.dev/news/8a829723123a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model arXiv:2606.14574v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as planners for autonomous agents in household environments. While existing benchmarks evaluate w https://pulse-3k2.pages.dev/news/dff17148fb05 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Persuasion Index: A Theory-Guided Framework for Persuasion Analysis arXiv:2606.14580v1 Announce Type: new Abstract: Identifying persuasive rhetorical cues is critical across domains, from detecting information manipulation and improving AI safety to advancing public h https://pulse-3k2.pages.dev/news/f707098d2225 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LoSoNA: A Benchmark for Local Social Norm Adaptation in Group Conversations arXiv:2606.14600v1 Announce Type: new Abstract: Online group chats are social spaces with local conversational norms that are rarely stated explicitly. The ability and willingness of LLM-based agents https://pulse-3k2.pages.dev/news/309774acab7b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Characterizing Cultural Localization in AI-Generated Stories arXiv:2606.14626v1 Announce Type: new Abstract: The global use of artificial intelligence has increased interest in assessing the ability to generate culturally localized content, including stories. C https://pulse-3k2.pages.dev/news/452d566a20ce 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition arXiv:2606.14674v1 Announce Type: new Abstract: LLM agents are increasingly built not as single model calls, but as scaffolded systems that combine reasoning, memory, reflection, action execution, and https://pulse-3k2.pages.dev/news/a63b3daf991c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CORA: Analyzing and bridging thinking-answer gap in Multimodal RLVR via Consistency-Oriented Reasoning Alignment arXiv:2606.14691v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has successfully elicited the reasoning capabilities of large language models, motivating its exte https://pulse-3k2.pages.dev/news/5a7788216a1a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AdaSR: Adaptive Streaming Reasoning with Hierarchical Relative Policy Optimization arXiv:2606.14694v1 Announce Type: new Abstract: Large reasoning models typically follow a read-then-think paradigm: they observe the complete input, reason over a static context, and then produce the https://pulse-3k2.pages.dev/news/fe7b3d39af26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems arXiv:2606.13683v1 Announce Type: cross Abstract: To address the challenge that current dialogue policy planning methods struggle to dynamically adapt to diverse user characteristics, this paper propo https://pulse-3k2.pages.dev/news/91a272de7c2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Indirect Computing Model with Indirect Formal Method arXiv:2606.13690v1 Announce Type: cross Abstract: This paper,from the perspective of a collaborative intelligent computing system formed by combining human-computer interface and collaborative computi https://pulse-3k2.pages.dev/news/d921f8b2b170 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Incentives Of EdTech: A Systematic Review Of EduNLP Research arXiv:2606.13691v1 Announce Type: cross Abstract: While the Natural Language Processing community has dedicated significant resources in developing educational technologies (EdTech) that support this https://pulse-3k2.pages.dev/news/8fa2d3c616e2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Orchestra-o1: Omnimodal Agent Orchestration arXiv:2606.13707v1 Announce Type: cross Abstract: The recent success of agent swarms has shifted the paradigm of large language model (LLM)-based agents from single-agent workflows to multi-agent syst https://pulse-3k2.pages.dev/news/3f714dd3a58b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multimodal Speaker Identification in Classroom Environments arXiv:2606.13712v1 Announce Type: cross Abstract: Automated analysis of K-12 classroom dynamics faces challenges due to background noise and variable child speech, often confounding acoustic-only mode https://pulse-3k2.pages.dev/news/3904e9ee1959 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png WorkBench Revisited: Workplace Agents Two Years On arXiv:2606.13715v1 Announce Type: cross Abstract: The best agent on WorkBench in March 2024, GPT-4, completed 43% of tasks and took an unintended harmful action, such as emailing the wrong person, on https://pulse-3k2.pages.dev/news/6abedda39a36 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Poker Arena: Multi-Axis Profiling of Strategic Reasoning and Memory in LLMs arXiv:2606.13815v1 Announce Type: cross Abstract: Strategic reasoning under uncertainty underpins consequential decisions in negotiation, finance, and policy, but prevailing game-play benchmarks colla https://pulse-3k2.pages.dev/news/c63e3bf2850f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ADORE: Iterative Query Expansion with Retrieval-Grounded Relevance Feedback arXiv:2606.13905v1 Announce Type: cross Abstract: LLM-based query expansion improves retrieval by enriching the original query with additional context. Yet most methods remain generation-driven, produ https://pulse-3k2.pages.dev/news/ef3088689ce3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Same-Origin Policy for Agentic Browsers arXiv:2606.14027v1 Announce Type: cross Abstract: Agentic browsers integrate autonomous AI agents into web browsers, enabling users to accomplish web tasks through natural-language instructions. The s https://pulse-3k2.pages.dev/news/b999c09b9da6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Efficiency-Performance Trade-offs in Neural Speaker Diarization via Structured Pruning and Low-Bit Quantization arXiv:2606.14030v1 Announce Type: cross Abstract: Streaming speaker diarization is crucial for time-critical medical dispatch, but deploying it on resource-constrained hardware requires smaller, faste https://pulse-3k2.pages.dev/news/1e9446f17dd3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Knowledge Graph Enhanced Memory-Augmented Retrieval for Long Context Modeling arXiv:2606.14047v1 Announce Type: cross Abstract: Long-context language modeling requires not only extending context windows but maintaining coherent understanding of entity states and relationships a https://pulse-3k2.pages.dev/news/50f98cc2a844 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Diffusion-Refined Segmentation and Vision-Language Interpretation for Pediatric Brain Tumor MRI arXiv:2606.14072v1 Announce Type: cross Abstract: Accurate pediatric brain tumor segmentation remains challenging due to limited annotated data, heterogeneous imaging phenotypes, diffuse tumor boundar https://pulse-3k2.pages.dev/news/28c512ff21d1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Simulating Students' Java Programming Errors with Large Language Models arXiv:2606.14113v1 Announce Type: cross Abstract: Understanding student errors in the programming is a cornerstone of programming education, yet obtaining a representative set of student errors for an https://pulse-3k2.pages.dev/news/6772be7f84b4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CoRe: A Continuously Reward-Finetuned LLM Query Rewriter for Multi-Stage Context-Aware Relevance in Web-Scale Video Search arXiv:2606.14127v1 Announce Type: cross Abstract: LLM-based query rewriters in production face a tension: the training reward must reflect how the rewrite is consumed by the production ranker, yet the https://pulse-3k2.pages.dev/news/63ab81a0f9c2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spatio-Temporal Audio Language Modeling for Dynamic Sound Sources arXiv:2606.14141v1 Announce Type: cross Abstract: Sound events are entities with semantic identities, locations, and trajectories, but current audio-language models usually reason about clips as globa https://pulse-3k2.pages.dev/news/8011d684383c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators arXiv:2606.14230v1 Announce Type: cross Abstract: Deepfakes are artificially generated images, audio, or videos that threaten privacy, security, and information integrity. Detecting such content is cr https://pulse-3k2.pages.dev/news/a9a5df267a92 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ScoreGate: Adaptive Chunk Selection for Retrieval-Augmented Generation via Dual-Score Statistical Fusion arXiv:2606.14269v1 Announce Type: cross Abstract: Fixed-cardinality retrieval injects a constant top-K chunks into the generator regardless of query complexity, causing over-retrieval for narrow queri https://pulse-3k2.pages.dev/news/e52f137aaa27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detecting Historical Turning Points in Italian Media: A Complex Systems Approach to a Diachronic News Corpus arXiv:2606.14348v1 Announce Type: cross Abstract: The increasing availability of large-scale textual corpora has opened new possibilities for data-driven, quantitative approaches to historical analysi https://pulse-3k2.pages.dev/news/a9177a7a67b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GitOfThoughts: Version-Controlled Reasoning and Agent Memory You Can Replay, Diff, and Merge arXiv:2606.14470v1 Announce Type: cross Abstract: Large language model (LLM) reasoning is ephemeral: chains of thought vanish with the context window, pruned search branches leave no record, and memor https://pulse-3k2.pages.dev/news/c015a81d7390 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results arXiv:2606.14516v1 Announce Type: cross Abstract: AI evaluations are widely used for testing and understanding progress. However, the diverse evaluators bring with them inconsistencies that challenge https://pulse-3k2.pages.dev/news/2cad7fea5401 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Abstracting Cross-Domain Action Sequences into Interpretable Workflows arXiv:2606.14654v1 Announce Type: cross Abstract: Sequential or time-stamped interaction logs provide objective records of digital application usage, yet their granularity and noise often obscure mean https://pulse-3k2.pages.dev/news/726d5fa950fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows arXiv:2606.14672v1 Announce Type: cross Abstract: Large language models increasingly serve as execution engines for agentic systems, yet they still consume context through a sequential text interface. https://pulse-3k2.pages.dev/news/7e15ca1eb482 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ClinHallu: A Benchmark for Diagnosing Stage-Wise Hallucinations in Medical MLLM Reasoning arXiv:2606.14697v1 Announce Type: cross Abstract: Building trustworthy medical multimodal large language models (MLLMs) is critical for reliable clinical decision support. Existing medical hallucinati https://pulse-3k2.pages.dev/news/d5bb5d305639 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Gaze Heads: How VLMs Look at What They Describe arXiv:2606.14703v1 Announce Type: cross Abstract: How a vision-language model internally solves the task of describing an image is far from obvious. We find that the model develops a specific mechanis https://pulse-3k2.pages.dev/news/fd17f74906a6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Automatic identification of diagnosis from hospital discharge letters via weakly supervised Natural Language Processing arXiv:2410.15051v3 Announce Type: replace Abstract: Identifying patient diagnoses from hospital discharge letters is essential for large-scale cohort selection and epidemiological research, but tradit https://pulse-3k2.pages.dev/news/e7e960d4ab65 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models arXiv:2502.10886v3 Announce Type: replace Abstract: Entity state tracking is a necessary component of world modeling that requires maintaining coherent representations of entities over time. Previous https://pulse-3k2.pages.dev/news/68f6ecbeee52 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png UniversalRAG: Retrieval-Augmented Generation over Corpora of Diverse Modalities and Granularities arXiv:2504.20734v5 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has shown substantial promise in improving factual accuracy by grounding model responses with external knowledg https://pulse-3k2.pages.dev/news/28eec6b06083 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards arXiv:2505.04671v3 Announce Type: replace Abstract: Recent advances in large language models (LLMs) trained with reinforcement learning (RL) have improved Text-to-SQL performance. However, RL-based ap https://pulse-3k2.pages.dev/news/be89cfac13f1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems arXiv:2505.16988v2 Announce Type: replace Abstract: LLM-based multi-agent systems (MAS) have demonstrated significant potential in enhancing single LLMs to address complex and diverse tasks in practic https://pulse-3k2.pages.dev/news/224490a8e9a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression arXiv:2505.23277v3 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) often suffers from long and noisy retrieved contexts. Existing context compression methods typically rely on he https://pulse-3k2.pages.dev/news/27b7a65c82c6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FineDialFact: A benchmark for Fine-grained Dialogue Fact Verification arXiv:2508.05782v2 Announce Type: replace Abstract: Large language models are known to produce hallucinations - factually incorrect or fabricated information - which poses significant challenges for m https://pulse-3k2.pages.dev/news/57b94eff2a7d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EiCAP: Beyond Fluency, Probing and Improving Emotional Intelligence in LLMs via Psychologically Grounded Multi-Turn Dialogue arXiv:2508.06196v2 Announce Type: replace Abstract: Large Language Models increasingly serve in emotionally sensitive roles, including mental health support, education, and crisis response, yet they l https://pulse-3k2.pages.dev/news/c7d4ee5c168c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trusted Uncertainty in Large Language Models: A Unified Framework for Confidence Calibration and Risk-Controlled Refusal arXiv:2509.01455v4 Announce Type: replace Abstract: Deployed language models must decide not only what to answer but also when not to answer. We present UniCR, a unified framework that turns heterogen https://pulse-3k2.pages.dev/news/3f255fed80d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OLaPh: Optimal Language Phonemizer arXiv:2509.20086v4 Announce Type: replace Abstract: Phonemization is a critical component in text-to-speech synthesis. Traditional approaches rely on deterministic transformations and lexica, while ne https://pulse-3k2.pages.dev/news/146efd6b1b88 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Pragmatic Inference for Moral Reasoning Acquisition: Generalization via Metapragmatic Links arXiv:2509.24102v5 Announce Type: replace Abstract: While moral reasoning has emerged as a promising research direction for large language models (LLMs), achieving robust generalization remains a crit https://pulse-3k2.pages.dev/news/d005eedf71c2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Chronological Thinking in Full-Duplex Spoken Dialogue Language Models arXiv:2510.05150v3 Announce Type: replace Abstract: Recent advances in spoken dialogue language models (SDLMs) reflect growing interest in shifting from turn-based to full-duplex systems, where the mo https://pulse-3k2.pages.dev/news/284d3f2ef2a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2 arXiv:2512.22671v3 Announce Type: replace Abstract: Structured width pruning of GLU-MLP layers in Llama-3.2 models, guided by the Peak-to-Peak Magnitude (PPM) criterion, reveals a systematic dichotomy https://pulse-3k2.pages.dev/news/84d029d63543 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters arXiv:2601.04885v3 Announce Type: replace Abstract: As Large Language Models (LLMs) serve a global audience, alignment must transition from enforcing universal consensus to respecting cultural plurali https://pulse-3k2.pages.dev/news/d3ba0bcd8e84 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Can professional translators identify machine-generated text? arXiv:2601.15828v5 Announce Type: replace Abstract: This study investigates whether professional translators without prior specialized training can reliably identify short stories generated in Italian https://pulse-3k2.pages.dev/news/2731b4be21c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Jacobian Scopes: token-level causal attributions in LLMs arXiv:2601.16407v3 Announce Type: replace Abstract: Large language models (LLMs) make next-token predictions based on clues present in their context, such as semantic descriptions and in-context examp https://pulse-3k2.pages.dev/news/57de24234cad 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Large Language Model Agents Are Not Always Faithful Self-Evolvers arXiv:2601.22436v3 Announce Type: replace Abstract: Self-evolving large language model (LLM) agents continually improve by accumulating and reusing past experience, yet it remains unclear whether they https://pulse-3k2.pages.dev/news/554307864dc8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Residual Context Diffusion Language Models arXiv:2601.22954v2 Announce Type: replace Abstract: Diffusion Large Language Models (dLLMs) have emerged as a promising alternative to purely autoregressive language models because they can decode mul https://pulse-3k2.pages.dev/news/78db69d03aaa 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought Reasoning arXiv:2603.05167v2 Announce Type: replace Abstract: Large language models (LLMs) are increasingly used as judges of chain-of-thought (CoT) reasoning, yet it remains unclear whether they can reliably a https://pulse-3k2.pages.dev/news/3f91ecfb7781 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ClaimFlow: Tracing the Evolution of Scientific Claims in NLP arXiv:2603.16073v2 Announce Type: replace Abstract: Scientific papers advance $\textit{claims}$ that later work supports, extends, or sometimes refutes. Yet existing methods for citation and claim ana https://pulse-3k2.pages.dev/news/0175f8ce56f4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Did You Forget What I Asked? Prospective Memory Failures in Large Language Models arXiv:2603.23530v2 Announce Type: replace Abstract: Large language models often fail to satisfy formatting instructions when they must simultaneously perform demanding tasks. We study this behaviour t https://pulse-3k2.pages.dev/news/b9bc5e05f1ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension arXiv:2604.24942v2 Announce Type: replace Abstract: Encoding models provide a powerful framework for linking continuous stimulus features to neural activity; however, traditional voxelwise approaches https://pulse-3k2.pages.dev/news/bd4934cb2b6c 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/6HE0ewyjc7uJtACoeCOJ25/81f76ec7d22190330e0daac62b0970e1/provision_auth0_with_vercel_easily_og_card.jpg Auth0 joins the Vercel Marketplace You can now add Auth0 , a production-ready authentication to your Vercel app in just a few clicks. Built for modern frameworks like Next.js, Auth0 is an identity and access management platform for sec https://pulse-3k2.pages.dev/news/b2258f6b1c6e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d8cf5280d66 2026-07-02 monthly 0.7 https://external-preview.redd.it/oqfegwbbB08NLbOg1a-YrAF75FH57kRDCFWzcaTSm2k.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=930cee95b64188c559c38d0db854a752b394e31c Command A Plus GGUFs posted Support for Command A Plus and North Mini Code was added to llama.cpp this weekend. Unsloth has North Mini Code GGUFs, but I didn’t find anyone with up to date GGUFs for Command A Plus, so I converted https://pulse-3k2.pages.dev/news/ddaa2e990eed 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dbba3792c124 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/53127246f366 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/12296a7b8879 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/335552b080a2 2026-07-02 monthly 0.7 https://karthinks.com/img/dictionary-tooltip-01.png Even more batteries included with Emacs Article URL: https://karthinks.com/software/even-more-batteries-included-with-emacs/ Comments URL: https://news.ycombinator.com/item?id=48535886 Points: 220 # Comments: 44 https://pulse-3k2.pages.dev/news/98810848f8d3 2026-07-02 monthly 0.7 https://external-preview.redd.it/c2tkZDk5eGZ3YzdoMRQY3p9Q6dTUjPWJeVSoTxjeziKteMGz63XGiXRq8ppv.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=5db26b98d55e29e1843c3b564b40e7adae1930d6 Made a macOS app that creates highly personal macOS apps. Works with models as small as Gemma 4 E2B Apologies in advance as the video is demonstrating with GPT 5.4 mini (a local model would take too long for a video), however I’ve made the same app with Gemma 4 E4B. Been working on an open source pr https://pulse-3k2.pages.dev/news/1b38ea10674e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ecda5f8aa36f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ebdea8fb825d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e155c8e699c4 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/3elBYPdawzO9EayTTzF21w/1c045addebb2653fd04c4331b55f7d50/image.png Chat SDK now supports rich text in Telegram Chat SDK now renders explicit markdown and ast messages as native rich messages on the Telegram adapter . Your bots get real headings, lists, tables, task lists, formulas, and separate media blocks in https://pulse-3k2.pages.dev/news/385d55b855ae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6a2157ec19c8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/396c4b7434e1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1240332934ae 2026-07-02 monthly 0.7 https://external-preview.redd.it/uT_6SPeN6jTZGDqzsF5PxK8_Inu9upQa--7jeVQM0zU.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=84882c7e49c774bb22b39228d0f126e972bfe4ce EAGLE support merged into llama.cpp &#32; submitted by &#32; /u/Diablo-D3 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/10c8fcfcb180 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6db6437de9c2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9b9054ea4ee1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1ee30e38f05a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2a5856277888 2026-07-02 monthly 0.7 https://cdn.mos.cms.futurecdn.net/j6KmfXaKwgMziobFTx9itD-1687-80.jpg Windows 11 users are tired of MS account requirements creeping into everything Article URL: https://www.windowscentral.com/microsoft/windows-11/windows-11-users-are-tired-of-microsoft-account-requirements-and-workarounds Comments URL: https://news.ycombinator.com/item?id=4853310 https://pulse-3k2.pages.dev/news/b0302899d2b7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f3cff487afc7 2026-07-02 monthly 0.7 https://preview.redd.it/rtm5a98mbb7h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=e71c815af8a913e465888e76bae21f8e6bdcc740 z.ai Poll on X: MIT-licensed open weights are losing You can cast your vote here: https://x.com/ZixuanLi_/status/2065646648777416770#m Just to be clear: I am not urging or brigading anyone to vote specifically for MIT-licensed open weights. Please choos https://pulse-3k2.pages.dev/news/522495f6bcd7 2026-07-02 monthly 0.7 https://preview.redd.it/7lw6rt9z1b7h1.png?width=140&amp;height=105&amp;auto=webp&amp;s=fe3acd465e89d8864cfdb1dc301188256231bb9f Nemotron - King of the Deep? Comparison of 4 models <=120B Comparison was done on Strix Halo 128gb shared memory, Ubuntu 26.04, Lemonade Server, Vulkan backend. I often run larger models like gpt-oss 120B or qwen but their performance seems to degrate quickly https://pulse-3k2.pages.dev/news/45ed76193e20 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/99d3bddab2f3 2026-07-02 monthly 0.7 https://external-preview.redd.it/9wHEnfaLZYCGSLsP1nuF3hLy387RknX-Ch9QIK3u5RI.jpeg?width=320&amp;crop=smart&amp;auto=webp&amp;s=3bb1522eeede1664cb6c0977ca3e9e9ab1f5aea6 Voice-to-voice chatbot update I've been working on this after hours for a few months continuously improving it. Now at a point where the chatbot is close to real-time (thanks to SSE streaming) and also interruptible while preservi https://pulse-3k2.pages.dev/news/5c0e256fd94a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7a03dd389a49 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50022415ec4c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bc2ebb5d73ee 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c18b02f3759c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/38a23de92c8e 2026-07-02 monthly 0.7 https://substack-post-media.s3.amazonaws.com/public/images/74e1df37-06b8-444e-a5a4-fbc1ead00360_3182x1790.png Welcome to the AGI era of AI governance It's a one-way door and we weren't ready for it. https://pulse-3k2.pages.dev/news/41335ef48427 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ac4a47ff5714 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/ee941ca0f1c0c15036e0594818ef6b1511e1f3e166d65390aa8d149f2ac4fc58/tamnd/kage Show HN: Kage – Shadow any website to a single binary for offline viewing Article URL: https://github.com/tamnd/kage Comments URL: https://news.ycombinator.com/item?id=48529990 Points: 204 # Comments: 50 https://pulse-3k2.pages.dev/news/f46f17a01bf0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4a1a2edfc53f 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4Mmo10RLJ6HIoEmbRe3QPf/4dd23942812b8e483d345607db7bc551/Introducing_OAI_Partner_Network_seo_card.png?w=1600&amp;h=900&amp;fit=fill Introducing the OpenAI Partner Network OpenAI launches the Partner Network, investing $150M to help global partners accelerate enterprise AI adoption, deployment, and transformation. https://pulse-3k2.pages.dev/news/ed97a7971fbb 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/spacexipo-nasdaq.jpg?resize=1200,800 As AI companies race to go public, who else is along for the ride? Startups are trying to "ride that SpaceX IPO wave." https://pulse-3k2.pages.dev/news/0e2ad269e04a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5e99d7f4c2dc 2026-07-02 monthly 0.7 https://preview.redd.it/bvenl5k2y97h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=0d7667a8c0a55d738ab0c51409391adb4170ca41 Nex claims Rio 3.5 is Nex 2.5 PRO in trench coat &#32; submitted by &#32; /u/Specter_Origin [link] &#32; [comments] https://pulse-3k2.pages.dev/news/76042d75bcd0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/139c0634eb5a 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!Ka51!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fbucketeer-e05bbc84-baa3-437e-9518-adb32be77984.s3.amazonaws.com%2Fpublic%2Fimages%2F8fb2e48c-be2a-4db7-b68c-90300f00fd1e_1668x1456.jpeg What Washington must do &#8221;The only way out is through&#8221; https://pulse-3k2.pages.dev/news/74cb03e78819 2026-07-02 monthly 0.7 https://external-preview.redd.it/gJfoEqkHqZ9MmvSKCORTech2TwNOJ8jNctdbMdOlafs.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=5e8e1613a53ad1b966ddc8c123ce7bdf582973d5 How to Run AI Locally: The Complete Beginner's Guide (2026) Since local AI is booming and more people come and ask the same questions, I created a guide. &#32; submitted by &#32; /u/totosse17 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/64cdc7a16b00 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6d8a8ed9cad2 2026-07-02 monthly 0.7 https://lore.kernel.org/.within.website/x/cmd/anubis/static/img/pensive.webp?cacheBuster=1.25.0 Linux 7.1 Article URL: https://lore.kernel.org/lkml/CAHk-=wi4BF4bMhZNZ1tqs+FFV4OuZRe3ZqdWB+LxRLmRweUzQw@mail.gmail.com/T/#u Comments URL: https://news.ycombinator.com/item?id=48528729 Points: 247 # Comments: 95 https://pulse-3k2.pages.dev/news/534484f77f6b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/62fad39ee95f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/be389590d923 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c06b50199a3c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b1d2d59cac7e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/504097de9189 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!n_r-!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F957dc207-33f4-4e66-a821-66f340c9a623_1424x1404.png No, everyone is not using AI for everything Article URL: https://gabrielweinberg.com/p/people-are-consuming-ai-like-they Comments URL: https://news.ycombinator.com/item?id=48527700 Points: 200 # Comments: 191 https://pulse-3k2.pages.dev/news/b212824390da 2026-07-02 monthly 0.7 https://preview.redd.it/p0o4dmes797h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=d51b93fa2a030afbe855e0772b31aece8f4496b6 You can run Deepseek 4 flash on mac (M3 Max, 96gb) I didn't know this was actually possible until today. Using https://github.com/antirez/ds4#running-models-larger-than-ram Antirez's specific engine + his specific ds4 gguf it literally just runs. You https://pulse-3k2.pages.dev/news/f8a3be49fc71 2026-07-02 monthly 0.7 https://preview.redd.it/rtsjelj8497h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=d98a908e0aa02f95ea8415ae5c29cbbfce147cb5 Introducing the Heretic Grimoire: The takedown-resilient, local-first backup system that keeps uncensored models available forever Welcome to another episode of THE HERETIC SHOW, where authoritarian dreams are destroyed by unreasonably effective linear algebra! Let's start with an important announcement: Heretic now has an offici https://pulse-3k2.pages.dev/news/d73f84839918 2026-07-02 monthly 0.7 https://preview.redd.it/0snp7rf4497h1.jpg?width=140&amp;height=78&amp;auto=webp&amp;s=3f29f34df3db5cc1ebaaaa1cc610548e6b094de4 Built a local AI assistant because I always knew this day would come, yesterday just made it feel very real I saw this coming from the start, so I sat down and started building. But yesterday's Anthropic shutdown made it hit different. One government directive and you see what happened. Or its just Anthropi https://pulse-3k2.pages.dev/news/8d7458716d1c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/fd06f701fcae 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/057078b748fd 2026-07-02 monthly 0.7 https://blog.janestreet.com/formal-methods-at-jane-street-index/./oxcaml-prover.png Formal methods and the future of programming Article URL: https://blog.janestreet.com/formal-methods-at-jane-street-index/?from_theconsensus=1 Comments URL: https://news.ycombinator.com/item?id=48526633 Points: 204 # Comments: 74 https://pulse-3k2.pages.dev/news/5195831ecd62 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54499be046ee 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a8d549863bb7 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bd17f770ba89 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/578a188a2607 2026-07-02 monthly 0.7 https://external-preview.redd.it/KvgYSczpelrUwsq1CHwVwJXhL_HhPfz0mwdMdHehjjM.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=19fedcd4b214b2ee7d8a9ed6ace43ab6154f4733 Local models in mid-2026 Open weights got close enough to run at home this year, not by needing more RAM but the reverse: sparse attention, MoE, latent KV compression, multi-token prediction and four-bit quant. &#32; submitte https://pulse-3k2.pages.dev/news/5eefb3554a80 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ad24995680f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4b6e02016f1e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/91468f0bd39d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9e4b83f99365 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d78717a7061f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f665a7f6e33f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d1209784120a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/644b26252eb6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/61ae2308d52a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Claude-photo.jpg?w=1024 As Anthropic suspends access to new models, India debates its AI future Tech leaders debate whether the Anthropic episode is a wake-up call for India’s AI ambitions. https://pulse-3k2.pages.dev/news/8daa4a7376d0 2026-07-02 monthly 0.7 https://external-preview.redd.it/xXhQM8oCAMtc5p4g2f3WLphtaeCtBDKeu8cvs1xoU-Q.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=d096b9678e1d00522647c64fd72a7ae5d5025adf Strix Halo desktop trying to compete against DGX Spark &#32; submitted by &#32; /u/SkyFeistyLlama8 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/52f79c641141 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c499e782a1d4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/829c770a3d05 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/910b15381445 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a1b4aa5a9122 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cbdd28ce6875 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/07/GettyImages-2194278734.jpg?w=1024 Meta reportedly moves to unwind $2B Manus deal after Beijing&#8217;s demand Meta starts dismantling its $2 billion Manus acquisition after Beijing ordered the deal reversed. https://pulse-3k2.pages.dev/news/aa7f8e3cffd5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1ecbb41c559d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cce4f131d23b 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/luau-wasm.jpg Publishing WASM wheels to PyPI for use with Pyodide The Pyodide 314.0 release announcement (via Hacker News ) includes news I've been looking forward to for a long time: You can now publish Python packages built for Pyodide (or any Python runtime compa https://pulse-3k2.pages.dev/news/ffbb4640d979 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/76fb259db6f5 2026-07-02 monthly 0.7 https://external-preview.redd.it/v-Q4hE8-ARuZKlxx6nv-gjP_Nu-MOjb_XM952Js3xf0.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=5ff3c3a16aa46f9dfa71780a3014be55becb1036 Open source AI Must Win &#32; submitted by &#32; /u/rm-rf-rm [link] &#32; [comments] https://pulse-3k2.pages.dev/news/076a161ec88c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e2c2656f84b4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/bca42a9f8556 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb9346b83df4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5798876d9661 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ab1f35257918 2026-07-02 monthly 0.7 https://preview.redd.it/1xc46bafe47h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=27470cca951bd24f8a6973b915d1db1cf70232c5 Me after installing my second P40 into my goblin box and having 48gb VRAM for the first time in my life &#32; submitted by &#32; /u/SV_SV_SV [link] &#32; [comments] https://pulse-3k2.pages.dev/news/9a9ef62c2d97 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/67b6025ac606 2026-07-02 monthly 0.7 https://external-preview.redd.it/cZwLYfwbYpXHSSiL9PX9B7wKj5oz781YJor2ClHUDTI.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=ba43f6c85dafe180be6ac4abe5ebf79fda01012c WIP EAGLE3 for Qwens small change to use EAGLE3 with Qwens &#32; submitted by &#32; /u/jacek2023 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/d5a71d336caf 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-2276519058.jpg?w=1024 KPMG pulls report on AI usage due to apparent hallucinations Once again, AI proves to be an unreliable source of information about AI. https://pulse-3k2.pages.dev/news/8a755a1aba4f 2026-07-02 monthly 0.7 https://external-preview.redd.it/EPzt7vH89npWgadyYJkUjqiudD4HLFw1w6m86iNLrMs.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=88511a8b3bf68e36397c4968d7cb6b98bd12ead2 Snapcompact: Saving Tokens With Images &#32; submitted by &#32; /u/formatme [link] &#32; [comments] https://pulse-3k2.pages.dev/news/f0e85746f62d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c62b092226e5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/14d6f8c7eed2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7cf4dd7c01e1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/94ba6a989013 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!zUeW!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F3eddfcdb-f90b-4176-bca6-8d5190c88342_1015x662.png American Government Takes Down Claude Fable No good policy gets announced shortly after 5pm eastern on a Friday. https://pulse-3k2.pages.dev/news/e0d93f8f3e2f 2026-07-02 monthly 0.7 https://preview.redd.it/0u9q4t9ir37h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=8561d0d0f9b3bccec1ae00a8a746dd2ec4f300ae Not looking good for GLM 5.2 Air... but maybe a flash model? Unofficial conversation on the official Z.ai Discord. My impression is they are focused on full size (500B+) and flash size (~30B) models right now, and that their turbo model is closer in parameters https://pulse-3k2.pages.dev/news/fdd8b9377618 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/07/GettyImages-1348139958.jpg?resize=1200,767 Amazon CEO reportedly raised Anthropic model concerns before government crackdown Amazon CEO Andy Jassy may have been the source of security concerns that led Anthropic to cut off worldwide access to two models on Friday. https://pulse-3k2.pages.dev/news/fa0a5279e4a9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/870b388bb9ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/59a63dcc7511 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f80b2106aa79 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1468f7c12956 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1374c38df52a 2026-07-02 monthly 0.7 https://external-preview.redd.it/UZOyRR6dJgxPTWUQLu2pR0Qjqyb7L8kVeTLNa7QKb14.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=01539f2b08902d05e1845ec40217ce28570ba3e2 Add arch support for cohere2-MoE by michaelw9999 · Pull Request #24260 · ggml-org/llama.cpp It's time to recompile your llama.cpp and download new model: https://huggingface.co/CohereLabs/North-Mini-Code-1.0 https://huggingface.co/unsloth/North-Mini-Code-1.0-GGUF Model Summary North Mini Cod https://pulse-3k2.pages.dev/news/0bca75d12fe6 2026-07-02 monthly 0.7 https://preview.redd.it/gof0w7sg537h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=a8ef83ff1dda8e9834eae27d634897dabfd855aa This is coming to Chinese open source models pretty soon. - prepare yourself. Don’t be surprised . Prepare yourself. This could happen anytime. There’s a bigger strategy here than just Fable5 &#32; submitted by &#32; /u/MLExpert000 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/b79ebb1ec919 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0e89cd3a7c23 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/12e7070eb410 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/68871dcb7288 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e3bfdb856d94 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/openai-logo-code-background.jpg?resize=1200,798 OpenAI faces investigation from state attorneys general It's not clear which states are involved, but they're asking about everything from OpenAI's ad policies to its handling of health data. https://pulse-3k2.pages.dev/news/f2fc0f920fdd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/edd51c7262a4 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/940e08c4c253 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!rbGN!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F00248646-9d2c-4fd3-ae26-c3643309c2f1_1402x1122.png The White House’s shambolic AI policy Also , why states are taking things into their own hands, and what might be better https://pulse-3k2.pages.dev/news/8c62bbf8192b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/978224939a2b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ca98f6b9884e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/87bae9c7b8f4 2026-07-02 monthly 0.7 https://tii.imgix.net/article/pictures/newsletters-production/8787eb21-e7b1-48b6-86aa-6030ee492a0c-OI5GfU.jpg?auto=compress AI’s Blithe Spending and Crusoe’s Stargate Woes Welcome, Weekenders! In this newsletter: • The Big Read: Tech readies itself for a Reta-aissance • Politics and Policy: A Silicon Valley politician’s counter move to the big tech PACs • Biotech: Longe https://pulse-3k2.pages.dev/news/23e9a4367c74 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/78e510bbbf47 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/50b5592483bd 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f631f0bc3a4a 2026-07-02 monthly 0.7 https://desfontain.es/blog/images/banning-noise.png US bans differential privacy in Census data Article URL: https://desfontain.es/blog/banning-noise.html Comments URL: https://news.ycombinator.com/item?id=48517377 Points: 267 # Comments: 108 https://pulse-3k2.pages.dev/news/e7e7499d3229 2026-07-02 monthly 0.7 https://preview.redd.it/dna0fo75027h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=062dada1b975bb4786ac57027e101d4629494d3e I don’t know who needs to hear this but 128GB BD-R XL M-DISC is SOTA for consumer-available archival optical storage (for backing up your models) If you’re trying to download and preserve your local LLMs in case of future availability issues due to AI-related politics, your best bet is either 128gb or 100gb Blu-Ray optical disks, more specifica https://pulse-3k2.pages.dev/news/c873e8a1c9cf 2026-07-02 monthly 0.7 https://www.economist.com/content-assets/images/20260620_STD000.jpg Treating pancreatic tumours may have revealed cancer's master switch Article URL: https://economist.com/science-and-technology/2026/06/12/treating-pancreatic-tumours-may-have-revealed-cancers-master-switch Comments URL: https://news.ycombinator.com/item?id=48517199 Poi https://pulse-3k2.pages.dev/news/b2998d9f7f82 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/276fcb702f4a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a2f40701c205 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/183606321f5d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/72ffbd3faf71 2026-07-02 monthly 0.7 https://preview.redd.it/qb998yr5j17h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=2bdec72d4c564ccc137966bafd9bc6edd367607c 32 bit crossplatform coding agent running on pentium m with less than a second startup time supports subagents, goals, MacOS, Unix, linux, BSD, windows 7 +, minimum needed CPU is 386, tried it on an 800mhz pentium 3 and still got sub second startup time and less than 1% cpu usage during use https://pulse-3k2.pages.dev/news/ae1b8461caeb 2026-07-02 monthly 0.7 https://repository-images.githubusercontent.com/829640443/56e9b8da-eabc-4dff-bac7-73d459e7880d AI OSS tool repo goes archived over night after raising $7.3M Seed Article URL: https://github.com/tensorzero/tensorzero Comments URL: https://news.ycombinator.com/item?id=48516504 Points: 207 # Comments: 140 https://pulse-3k2.pages.dev/news/796bfd85e940 2026-07-02 monthly 0.7 https://preview.redd.it/ps4qumn5f17h1.png?width=140&amp;height=122&amp;auto=webp&amp;s=0a86fe962e5c83cc6be36b04836da92bf081dac7 llama-launcher v1.3 release -> Bayesian Optimisation Hello everyone, some of you may have seen a post of mine from a few days ago about my app, llama-launcher , a lightweight point-and-click GUI to create llama-server commands without the constant need https://pulse-3k2.pages.dev/news/84fbd3c7e5f5 2026-07-02 monthly 0.7 https://preview.redd.it/4sqjqt71f17h1.png?width=320&amp;crop=smart&amp;auto=webp&amp;s=e42a41a1e8b7979421e3c9afadc924a611f2252c GLM 5.2 is out - open weights to be released next week. How did it do on my one-shot Pac-Man test? Quick initial impressions: - at 70 tok/s slower than GLM 5.1 - seems to spend more time reasoning - better results with my Pac-Man test The one-shot result is almost functional; apart from the ghosts https://pulse-3k2.pages.dev/news/209660e0ed79 2026-07-02 monthly 0.7 https://www.phoronix.net/image.php?id=cachyos-ubuntu-2510-f43&image=cachyos_nov_1 Arch Linux Now Believes Malware Incident Under Control: More Than 1,500 Packages Article URL: https://www.phoronix.com/news/Arch-Linux-AUR-More-Than-1500 Comments URL: https://news.ycombinator.com/item?id=48516379 Points: 238 # Comments: 146 https://pulse-3k2.pages.dev/news/e112df7c9b80 2026-07-02 monthly 0.7 https://preview.redd.it/7i1nqwtwf17h1.png?width=140&amp;height=117&amp;auto=webp&amp;s=ca0c25175d9681462df2aba37de75c22dcf3752c Pi Setup that pretty much replaced Claude Code for me I've been using Pi with Qwen3.6-27B a lot as my daily driver for more than a month and this setup almost replaced Codex/CC for me entirely. I use it with the advisor extension, with the advisor usuall https://pulse-3k2.pages.dev/news/188c9b7d0fe7 2026-07-02 monthly 0.7 https://dynogee.com/gen?id=24m2qx9uethuw6p&title=Every+Frame+Perfect Every Frame Perfect Article URL: https://tonsky.me/blog/every-frame-perfect/ Comments URL: https://news.ycombinator.com/item?id=48516251 Points: 331 # Comments: 119 https://pulse-3k2.pages.dev/news/cce6605567e1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a1a26a4f5340 2026-07-02 monthly 0.7 https://preview.redd.it/1umgqtfp217h1.png?width=140&amp;height=105&amp;auto=webp&amp;s=2b2c656984f7dbd4276c7ca9b8fbe07dde51b9a3 GLM 5.2 is deployed in GLM Coding Plan. API and MIT weights in a week. Voting and benchmarks on X. The model now supports a 1M context window and two thinking modes: max and high. z.ai recommends using max for coding. Vote on X What should we prioritize most? Longer context window MIT-licensed open https://pulse-3k2.pages.dev/news/0a34b76c5797 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5fb506daa8b6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1ff342f584a3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0fc7ad260e9a 2026-07-02 monthly 0.7 https://storage.googleapis.com/gweb-research2023-media/images/HO_previewImage1.width-800.format-jpeg.jpg A low-carbon computing platform from your retired phones Article URL: https://research.google/blog/a-low-carbon-computing-platform-from-your-retired-phones/ Comments URL: https://news.ycombinator.com/item?id=48515336 Points: 238 # Comments: 130 https://pulse-3k2.pages.dev/news/3a571478d823 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5d884939b026 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0b62f7da49d7 2026-07-02 monthly 0.7 https://external-preview.redd.it/i4WJfW6p4Uj9gIVSsX0OO33lOO35GrZY_skMyQ-4Cyo.png?width=140&amp;height=73&amp;auto=webp&amp;s=8724722b353495d730525bc39d02ba46767a4483 ZONOS2: real-time TTS with 8B params, 900M active, and high-fidelity voice cloning https://reddit.com/link/1u4lk5c/video/kyhdw0uog07h1/player Links: Blog: https://zyphra.com/our-work/zonos2 Weights: https://huggingface.co/Zyphra/ZONOS2 Inference code: https://github.com/Zyphra/ZONOS https://pulse-3k2.pages.dev/news/fba2a0f4611d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b297d3c0959 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7c24c19fdbe2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/eb640cfc35ea 2026-07-02 monthly 0.7 https://preview.redd.it/13wyn4zguz6h1.png?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=1ef6a1d294414e862a68860348594b0ddbd04a6b GLM-5.2 next week, open weight, MIT &#32; submitted by &#32; /u/AaronFeng47 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/1fea0f2e3010 2026-07-02 monthly 0.7 https://blog.unitedheroes.net/JRS_128x128.jpg Leaving Mozilla Article URL: https://blog.unitedheroes.net/5751 Comments URL: https://news.ycombinator.com/item?id=48513806 Points: 254 # Comments: 137 https://pulse-3k2.pages.dev/news/eab2b9abd72b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/23529ac56549 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!jq2v!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2Fdb77ab5f-d7bc-49cf-a995-77b976afe0fc_1200x630.png There is a shadow hanging over this Fable thing Article URL: https://12gramsofcarbon.com/p/tech-things-there-is-a-massive-shadow Comments URL: https://news.ycombinator.com/item?id=48513536 Points: 213 # Comments: 185 https://pulse-3k2.pages.dev/news/b7bd715a9f4e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a49e85916c80 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1a3926308e38 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!DbYa!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F73b0838a-bd14-46a1-801c-b6a2046e5c1e_1130x1130.png [AINews] Fable and Mythos officially too dangerous to release We are in the strangest timeline. https://pulse-3k2.pages.dev/news/ef03b32d571d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/GettyImages-1487822193.jpg?resize=1200,800 Andrew Yang thinks the next big startup opportunity is lowering the cost of living Andrew Yang made a list of everything Americans overpay for — housing, food, wireless — and thinks the next startup gold rush is giving that money back. https://pulse-3k2.pages.dev/news/a4358235a47e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b1c7099256df 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ecb435dddf26 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/22ab3d54c4eb 2026-07-02 monthly 0.7 https://preview.redd.it/kxev0s85xy6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=6041ca8aef6752b73253ea243cc399493e87257e New model on huggingface https://huggingface.co/prefeitura-rio/Rio-3.5-Open-397B A qwen finetune. Looks pretty even with qwen 3.7 plus, except it's actually open source. Disclosure: I work as a researcher for the city governm https://pulse-3k2.pages.dev/news/da8bc8cd9b56 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/fable5-1152x648.webp Anthropic shuts down Fable, Mythos models following Trump admin directive Commerce dept. worries that a Fable 5 "jailbreak" could be a national security threat. https://pulse-3k2.pages.dev/news/e827eea2609e 2026-07-02 monthly 0.7 https://preview.redd.it/te5dm6f9sy6h1.png?width=140&amp;height=106&amp;auto=webp&amp;s=9a10d27cdf09a1a73927311e432b19fd25a9d8b4 Derivative-Free Neural Network Optimization: MNIST Case [R] A direct optimization test was conducted on a neural network for MNIST image classification. The network features a 784-32-10 architecture with a total of 25,450 continuous parameters (weights and bia https://pulse-3k2.pages.dev/news/258ec44d5caf 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/0edf09b68deec289363f72e6b5c5a79cc47b9d5d590de955748d828b14c4ff02/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.3.1 langchain-openai==1.3.1 Changes since langchain-openai==1.3.0 docs: refresh README installation and resources ( #38119 ) test(core,langchain): update tests for explicit deserialization allowlists ( #38118 ) release(core): 1. https://pulse-3k2.pages.dev/news/3a3dea1d6ce8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/23f52dc54cf4 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/02/GettyImages-2153561878.jpg?w=1024 Anthropic&#8217;s safety warnings may have just backfired — the government has pulled the plug on its most powerful AI Anthropic isn't hiding its frustration. "We disagree that the finding of a narrow potential jailbreak should be cause for recalling a commercial model deployed to hundreds of millions of people," the https://pulse-3k2.pages.dev/news/1be223fc8f96 2026-07-02 monthly 0.7 https://preview.redd.it/xxol7axgmy6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b9b7ad8e31cf0d70d1415d417ba5de197391428e Friendly reminder If you don't have it on your own drive, someone is going to take it away, enshittify it, bar you from accessing it, censor it, and hike the prices of it sooner or later. &#32; submitted by &#32; /u/Di https://pulse-3k2.pages.dev/news/81122a35696e 2026-07-02 monthly 0.7 https://opensourceaimustwin.com/og-image.png Open Source AI Must Win Article URL: https://opensourceaimustwin.com/?share=v2 Comments URL: https://news.ycombinator.com/item?id=48511908 Points: 307 # Comments: 70 https://pulse-3k2.pages.dev/news/847d95e22075 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!YLJa!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F267c31ad-7cae-43cc-a2b9-58042f37c1c0_1253x1229.png Breaking news: US Commerce Department effectively shuts down Anthropic’s latest models After two years of underregulating AI, the US government suddenly takes the nuclear option https://pulse-3k2.pages.dev/news/c7de692745b3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/70d5411cae10 2026-07-02 monthly 0.7 https://external-preview.redd.it/bDNNrAtGcz_k7GUnoK2WyrBSfzRlhklxmiyn3CPffdE.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=91ef5d835f44ad4fde5e41b830d9b54c3b4f3faf Statement on the US government directive to suspend access to Fable 5 and Mythos 5 &#32; submitted by &#32; /u/artisticMink [link] &#32; [comments] https://pulse-3k2.pages.dev/news/613617ef2b81 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e464b7a63a6a 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/001317287cdd 2026-07-02 monthly 0.7 https://cdn.sanity.io/images/4zrzovbb/website/50159fff55088f12070cc8a56eb51ff61006b631-2400x1260.png US Government directive to suspend access to Fable 5 and Mythos 5 Article URL: https://www.anthropic.com/news/fable-mythos-access Comments URL: https://news.ycombinator.com/item?id=48511072 Points: 592 # Comments: 351 https://pulse-3k2.pages.dev/news/a1c48afac696 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/29d23947ccb4 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/zNoZkAF6EKb567rvOaOn5/56a2cbc4de42c0aba74cf103790cc79b/image.png Workflow SDK now runs natively in Nitro v3 Workflow SDK 's native Nitro v3 integration is now in beta. Steps run inside the same bundled runtime as the rest of your app, instead of a separate bundle. Nitro's useStorage() and other server-side https://pulse-3k2.pages.dev/news/6ad540c300b9 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZnJvdXhzM2Z3eDZoMfGOJPECWZYLkIx9_jIgOZIMFzbzAVWGrjOkphZRWCEn.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=49166d75a63f8471217155ac34ff30012577c32a Diffusion Gemma is 4x faster, but makes 6x more mistakes! Benchmarked the new Gemma diffusion model against its autoregressive twin on a single H100 (FP8). We gave each the same three tasks: write a Steve Jobs biography, the history of Tetris, and the story https://pulse-3k2.pages.dev/news/b761bf6cddfb 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/openai-webrtc-document-context.jpg OpenAI WebRTC Audio Session, now with document context OpenAI WebRTC Audio Session, now with document context I built the first version of this tool in December 2024 to try out the then-new OpenAI WebRTC API for interacting with their realtime audio model https://pulse-3k2.pages.dev/news/c351aa7df44b 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/07/GettyImages-2194278734.jpg?w=1024 Meta&#8217;s months-old AI unit is a soul-crushing gulag, say the engineers stuck inside it A new report suggests the unit, which employs 6,500 people, is on the verge of revolt. https://pulse-3k2.pages.dev/news/a815b6be29ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a4e98f802641 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/fig1-tool-failures.gif?resize=768%2C432 How we made GitHub Copilot CLI more selective about delegation Better orchestration, fewer handoffs, faster progress, without a single new knob. The post How we made GitHub Copilot CLI more selective about delegation appeared first on The GitHub Blog . https://pulse-3k2.pages.dev/news/ed301b51acc2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ee9c67df0098 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2281248250-1024x648.jpg SpaceX is now a public company valued for its AI potential, so what comes next? As of today, SpaceX is owned by investors who will want to see it make money. https://pulse-3k2.pages.dev/news/e770c33bfb3b 2026-07-02 monthly 0.7 https://depthfirst.com/uploads/21%20zero%20days%20in%20FFmpeg.png Twenty One Zero-Days in FFmpeg Article URL: https://depthfirst.com/research/21-zero-days-in-ffmpeg Comments URL: https://news.ycombinator.com/item?id=48510046 Points: 232 # Comments: 142 https://pulse-3k2.pages.dev/news/0db7a2aedb80 2026-07-02 monthly 0.7 https://assets.renaultgroup.com/uploads/2025/10/Desktop_rebond_renault_5-1024x640.jpg Renault: Electric motors with no rare earths Article URL: https://www.renaultgroup.com/en/magazine/energy-and-powertrains/all-about-electric-motors-with-no-rare-earths/ Comments URL: https://news.ycombinator.com/item?id=48510010 Points: 204 # Co https://pulse-3k2.pages.dev/news/e186666f022f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.00467/gradient.png On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance Abstract Large language models exhibit limited ability to correct zero-shot errors through prompting, with model performance more strongly linked to definition-specific familiarity than text-level mem https://pulse-3k2.pages.dev/news/3faf91b4ba07 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/ai-agent-1-768x432.png NVIDIA Achieves Leading Agentic Coding Performance on First Agentic AI Benchmark AI agents have fundamentally changed the complexity of inference workloads. Until now, the industry has struggled to define a standard for measuring how... https://pulse-3k2.pages.dev/news/a5b9ed30d1e4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12730/gradient.png Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior Abstract Psychometric assessments of LLM behavior reveal that specific behavioral frameworks like Theory of Planned Behavior show better coherence with actual responses than broad personality traits, https://pulse-3k2.pages.dev/news/015e6b817b60 2026-07-02 monthly 0.7 https://preview.redd.it/5c5693ua0x6h1.png?width=140&amp;height=73&amp;auto=webp&amp;s=dfd6ff5296552d059b2d6656698213d2a9339812 I scaled test-time compute for Qwen-3.6-27B and Gemma-4-31B to surpass Claude Mythos in code optimizations and speedups. The scaffold uses ~25-40x more compute on the original baseline model to attempt the same problem. I put it into max mode by setting the branches exploration breadth to 5, iterative corrections loop d https://pulse-3k2.pages.dev/news/843cadf35fb2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9f576ed0fcdf 2026-07-02 monthly 0.7 https://images.ft.com/v3/image/raw/https%3A%2F%2Fd1e00ek4ebabms.cloudfront.net%2Fproduction%2F83a75134-cd80-4b47-9cf8-299260f9e4e8.jpg?source=next-barrier-page Palantir loses legal challenge against Swiss investigative magazine Article URL: https://www.ft.com/content/7ffcace7-9dc0-4e7e-9912-895ac073f979 Comments URL: https://news.ycombinator.com/item?id=48509182 Points: 230 # Comments: 50 https://pulse-3k2.pages.dev/news/f998c275d703 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/google-logo.jpg?resize=1200,800 Chinese cybercrime operation that used AI to scam &#8216;hundreds of thousands of victims&#8217; sued by Google The tech giant said a group called "Outsider Enterprise" used AI to scam hundreds of thousands of victims, sending 2.5 million text messages over a span of two weeks. https://pulse-3k2.pages.dev/news/520dbfe51f56 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/aae914b45488 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/208603a24675 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/57467b6b46b9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1173c11f9cec 2026-07-02 monthly 0.7 https://swift.org/apple-touch-icon-180x180.png Swift at Apple: Migrating the TrueType hinting interpreter Article URL: https://www.swift.org/blog/migrating-truetype-hinting-to-swift/ Comments URL: https://news.ycombinator.com/item?id=48508726 Points: 208 # Comments: 94 https://pulse-3k2.pages.dev/news/cbc9f02c1054 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/28063be421d5 2026-07-02 monthly 0.7 https://external-preview.redd.it/nc_PpzOikqFQaSCc33_bIOL3iArMsCQjlSVYzNYomWs.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=4d6987cde7488d46369b110c8e223974bee340d7 4× RTX PRO 6000 Blackwell on Water, and the One Card That Wouldn't Behave Converting four RTX PRO 6000 Blackwell cards to waterblocks, finding a VRM choke loose on the workbench, and getting back to 41k tok/s. &#32; submitted by &#32; /u/thekalki [link] &#32; [comments] https://pulse-3k2.pages.dev/news/c455c6a6b95a 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/4829ef1978313741961fc06688bdf9242438c4853d254c975a157dbefc8adfb6/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.4.7 langchain-core==1.4.7 Changes since langchain-core==1.4.6 chore: bump tornado from 6.5.5 to 6.5.6 in /libs/core ( #38115 ) release(core): 1.4.7 ( #38111 ) fix(core,partners): rename package version trace metadata ( #38110 https://pulse-3k2.pages.dev/news/d288d5665291 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6446a1e7f075 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!i5gG!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F360216db-aa21-4ded-883e-0da9d47118ed_600x900.jpeg Claude Fable 5 and Mythos 5: The System Card First things first: Claude Fable 5 is the new best publicly available model. https://pulse-3k2.pages.dev/news/12cd0b0e054d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13594/gradient.png See What I See, Know What I Think: Dense Latent Communication Across Heterogeneous Agents Abstract Heterogeneous multi-agent systems can effectively transfer knowledge through aligned KV-cache communication, achieving better performance than text-based methods with reduced computational co https://pulse-3k2.pages.dev/news/2bc86c4b372b 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Bezos-Bajaj-Prometheus-1152x648.jpg Here&#039;s what Jeff Bezos&#039; new startup Prometheus will do It isn't the only startup tackling physical AI, but it's one of the best-funded. https://pulse-3k2.pages.dev/news/0ddf188da316 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/elon-nasdaq-spacex-ipo.jpg?resize=1200,801 SpaceX IPO: Live updates on everything you need to know TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and mayb https://pulse-3k2.pages.dev/news/b3d87bbf86b7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13174/gradient.png Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents Abstract TRACE is a skill-layer pipeline that mines user corrections to create runtime checks, significantly reducing preference violations in interactive LLM agents. Generated by Qwen/Qwen2.5-Coder-3 https://pulse-3k2.pages.dev/news/6ca9935eef77 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9fe430793b38 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b8db8cbbb952 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/Ukraine-drone-1152x648.jpg Ukraine&#039;s one-time test used fully autonomous drones to kill Russian soldiers Full autonomy is rare, but Ukraine is installing AI modules on drones and robots. https://pulse-3k2.pages.dev/news/15dcc655b1cc 2026-07-02 monthly 0.7 https://blog.miguelgrinberg.com/static/cards/i-am-not-a-reverse-centaur.jpg I Am Not a Reverse Centaur Article URL: https://blog.miguelgrinberg.com/post/i-am-not-a-reverse-centaur Comments URL: https://news.ycombinator.com/item?id=48507282 Points: 212 # Comments: 152 https://pulse-3k2.pages.dev/news/8679ed6972f8 2026-07-02 monthly 0.7 https://correresmidestino.com/wp-content/uploads/2026/06/1000014905-rotated-e1781079040455.jpg "Don't You Just Upload It to ChatGPT?" Article URL: https://correresmidestino.com/dont-you-just-upload-it-to-chatgpt/ Comments URL: https://news.ycombinator.com/item?id=48507278 Points: 205 # Comments: 185 https://pulse-3k2.pages.dev/news/8f17aa587489 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/03/GettyImages-2264771189.jpg?resize=1200,800 Mistral is rumored to be raising €3B at €20B valuation The funding round would value the company at around €20 billion (about $23.15 billion), nearly double its Series C valuation of €11.7 billion. https://pulse-3k2.pages.dev/news/649a877469a2 2026-07-02 monthly 0.7 https://ikyle.me/images/hero.png How to setup a local coding agent on macOS Article URL: https://ikyle.me/blog/2026/how-to-setup-a-local-coding-agent-on-macos Comments URL: https://news.ycombinator.com/item?id=48507020 Points: 261 # Comments: 71 https://pulse-3k2.pages.dev/news/8406c27ed490 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/google-logo.jpg?resize=1200,800 Google sues alleged Chinese cybercrime operation that used AI to send scam texts The tech giant said a group called "Outsider Enterprise" used AI to scam hundreds of thousands of victims, sending 2.5 million text messages over a span of two weeks. https://pulse-3k2.pages.dev/news/99929da37dd4 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2275860721-1024x648.jpg $130 billion in data center projects blocked by protests so far this year Winning fight against AI data centers gives people a "taste of political power." https://pulse-3k2.pages.dev/news/9eb7941229a9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.10423/gradient.png WebChallenger: A Reliable and Efficient Generalist Web Agent Abstract WebChallenger presents a web agent framework that improves autonomous navigation through structured page representation and cognitive-inspired mechanisms, achieving high performance with open https://pulse-3k2.pages.dev/news/5ce532a9a2e9 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/f812cb34cb81 2026-07-02 monthly 0.7 https://i0.wp.com/stratechery.com/wp-content/uploads/2026/06/WhatsApp-Image-2026-06-11-at-11.22.05.jpeg?resize=1700%2C951&#038;ssl=1 2026.24: Hey Siri, Tell Me a Fable The best Stratechery content from the week of June 8, 2026, including Apple finally shipping Intelligence, Anthropic's fable, and the future of European industry. https://pulse-3k2.pages.dev/news/9fba0c771564 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/8d6de93d60fb98e697688914b2fa906b183c5ff79b68b44ad634dd41f4faeee4/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.4.6 langchain-anthropic==1.4.6 Changes since langchain-anthropic==1.4.5 release(anthropic): 1.4.6 ( #38105 ) fix(langchain,anthropic): confine file-search results and tighten anthropic allowed_prefixes ( #38106 ) release(core): 1.4 https://pulse-3k2.pages.dev/news/052e7682e857 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6849bdd5da69 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-1240294200-500x500.jpg When it comes to total water use, AI data centers are a drop in the bucket Even moderately sized data centers can have an outsized local impact. https://pulse-3k2.pages.dev/news/792bd3c4fcad 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9bb36e73e94e 2026-07-02 monthly 0.7 https://preview.redd.it/3g645xykrv6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=40bb1acf92911fb7265a9a060bc3b11b1f379441 Comparing dual-GPU inference speed between llama.cpp row/tensor split and ik_llama graph split Setup: +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 610.43.02 KMD Version: 610.43.02 CUDA UMD Version: 13.3 | +----------------------------- https://pulse-3k2.pages.dev/news/6aaafb222e00 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2025/05/google-logo-green-terminal-1152x648.jpg Google sues Chinese cybercrime network that used Gemini to automate scams The fraudsters allegedly targeted hundreds of thousands of people with Gemini-coded scams sites. https://pulse-3k2.pages.dev/news/0a216976f606 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/414b4304ec62 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/GettyImages-2275575484.jpg?resize=1200,815 SpaceX, Anthropic, and OpenAI’s hot IPO summer The IPO market is back, and&#160;it&#8217;s&#160;not the same&#160;companies&#160;leading the charge. FAANG had a good run, but a&#160;new acronym is taking over: MANGOS&#160;— Meta (or Microsoft, dep https://pulse-3k2.pages.dev/news/adf9a08781f2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/72bac7e093f6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8f76e67ad854 2026-07-02 monthly 0.7 https://cdn-uploads.huggingface.co/production/uploads/638e39b249de7ae552d977b5/gacAOFYwPkpxu7cC4eeey.png olmo-eval: An evaluation workbench for the model development loop Back to Articles olmo-eval: An evaluation workbench for the model development loop Enterprise Article Published June 12, 2026 Upvote - Tyler Murray undfined allenai Kyle Wiggers Ai2Comms allenai 💻 Co https://pulse-3k2.pages.dev/news/d343199b6516 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/05/spacex-rocket-getty.jpg?resize=1200,801 It’s hot IPO summer, and the MANGOS are ripe The IPO market is back, and&#160;it&#8217;s&#160;not the same&#160;companies&#160;leading the charge. FAANG had a good run, but a&#160;new acronym is taking over: MANGOS&#160;— Meta (or Microsoft, dep https://pulse-3k2.pages.dev/news/f20f335d22fc 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.07867/gradient.png The Cold-Start Safety Gap in LLM Agents Abstract Tool-calling language model agents exhibit improved safety after initial interactions, with a systematic benchmark demonstrating enhanced security through prior task completion. Generated by https://pulse-3k2.pages.dev/news/fb03bcd67649 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/244577bb056b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/cdcf42377c39 2026-07-02 monthly 0.7 https://preview.redd.it/b3o6tjm67v6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=4ebabd2be9622fcca824e7e8049848a66691009b MiniMax Sparse Attention (MSA) Ultra-long-context capability is becoming indispensable for frontier LLMs: agentic workflows, repository-scale code reasoning, and persistent memory all require the model to jointly attend over hundre https://pulse-3k2.pages.dev/news/887c00220250 2026-07-02 monthly 0.7 https://external-preview.redd.it/4yp1ezH2ZLiaCI1IO4pvtz3xeDLJlkLdOoZNmdBmkNE.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=02913f68797dd3bb13fe4bff32e278e3215bf405 MiniMax M3 available on HuggingChat (with Artifacts support) &#32; submitted by &#32; /u/paf1138 [link] &#32; [comments] https://pulse-3k2.pages.dev/news/7bfbcbe46d65 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3740a39a264f 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/04/MM-Release.webp Deploy Long-Context Reasoning and Agentic Workflows with MiniMax M3 on NVIDIA Accelerated Infrastructure As enterprise AI adoption scales, developers are increasingly forced to stitch together fragmented pipelines—separate models for text, vision, and... https://pulse-3k2.pages.dev/news/f2a9bd434929 2026-07-02 monthly 0.7 https://blog.lopp.net/content/images/size/w1200/2026/06/fcc_kyc.jpg A Call to Action: Stop the FCC's KYC Regime Article URL: https://blog.lopp.net/call-to-action-stop-the-fcc-kyc-regime/ Comments URL: https://news.ycombinator.com/item?id=48504697 Points: 214 # Comments: 140 https://pulse-3k2.pages.dev/news/078c5ec51d7f 2026-07-02 monthly 0.7 https://preview.redd.it/sn5t3ppozu6h1.gif?width=320&amp;crop=smart&amp;s=10d6e8e5ec189c69d2db6da6c930ae845eed3903 Two-shot with Hermes, Qwen3.6_35b on RTX3060/12gb Pretty pleased with this two-shot. Prompt 1: FFT spectral analysis of a wave file to generate a gif animation 15fps 320px square. /home/88888/hermes-scripts/beesound/ are a wav file, and c and h files https://pulse-3k2.pages.dev/news/bc8e49121b37 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/01/GettyImages-2240506392.jpg?resize=1200,800 SpaceX IPO: Everything you need to know TechCrunch has followed SpaceX's start, struggles, and successes from the early days. And we're here for what happens next too. This package of SpaceX IPO coverage includes who stands to win (and mayb https://pulse-3k2.pages.dev/news/d53117f96454 2026-07-02 monthly 0.7 https://external-preview.redd.it/Uv93NfmsEWZ6OylNRrWDx5767F50djITuxFOvPL7cs4.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=1bedec10a803f86762cdba66e04f25b0f6b3343d MiniMaxAI/MiniMax-M3 · Hugging Face Minimax m3 weights are out !! It has ~428B parameters and ~23B activated parameters. &#32; submitted by &#32; /u/mlon_eusk-_- [link] &#32; [comments] https://pulse-3k2.pages.dev/news/5f74b48aebfb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ab16ed4dd2e8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11409/gradient.png Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models Abstract Compute-aware evaluation framework using FLOPs and risk-compute curves reveals non-monotonic effects of alignment training and varying attack costs across different harm categories. Generated https://pulse-3k2.pages.dev/news/b753bd5dae30 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!KEet!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F28cffd9e-7947-48fb-b6e7-9a91628c7073_1337x2206.png You can’t get more 2026 than that Hallucination of the day: https://pulse-3k2.pages.dev/news/35b0c8a21e59 2026-07-02 monthly 0.7 https://bytecodealliance.org/images/avatar.png WASI 0.3 https://github.com/WebAssembly/WASI/releases/tag/v0.3.0 Comments URL: https://news.ycombinator.com/item?id=48504063 Points: 213 # Comments: 83 https://pulse-3k2.pages.dev/news/b752c2291820 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/953e87bd5f58 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4d7c3193e413 2026-07-02 monthly 0.7 https://preview.redd.it/ufztxk6vpu6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=c6e5b1c1fbcdb006fb200650563c7d05b65af411 Open Dungeon: local roleplay with Gemma 4 QAT + inline Uncen-FLUX images, running at full 256K context under 8GB RAM (OS) I wanted AI Dungeon but fully local and actually private, so I built it. The narrator is Gemma 4 (QAT Q4) through Ollama, and when a scene is worth showing it draws the picture too, locally, with FLUX https://pulse-3k2.pages.dev/news/03a32ef09d3c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12451/gradient.png ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs Abstract Parametric tool retrieval models show reduced performance and understanding when evaluated with realistic ambiguous queries compared to standard benchmarks, revealing a dissociation between k https://pulse-3k2.pages.dev/news/47ee822f6857 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dceecf07674b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/17174fd90e91 2026-07-02 monthly 0.7 https://preview.redd.it/nstg91f0gu6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=23b0e42b7646482da1ba685b66ae481a84b951ff [NEW MODEL] Supra-Title-0.3B Just released! Supra Title is live! 🦅 We just released Supra Title (experimental) , a purpose-built 350M model for generating chat conversation titles, built on LFM2.5-350M. https://huggingface.co/SupraLabs/Supra-T https://pulse-3k2.pages.dev/news/b3fec36440c7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12488/gradient.png A Stationary (and Therefore Compatible) Representation is All You Need Abstract Stationary representations learned through d-Simplex fixed classifiers ensure model compatibility during sequential fine-tuning and updates, enabling continuous retrieval services without rep https://pulse-3k2.pages.dev/news/159fec1e7fb0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a46bc8ef4fa2 2026-07-02 monthly 0.7 https://cdn.arstechnica.net/wp-content/uploads/2026/06/GettyImages-2262175351-1152x648.jpg Pokémon Go players unwittingly contributed to tech with military drone uses The repurposing of Pokémon Go data for AI training continues to draw scrutiny. https://pulse-3k2.pages.dev/news/6c3175ff3ee7 2026-07-02 monthly 0.7 https://blog.osull.com/wp-content/uploads/2026/06/image.png Ryanair dark UX patterns summer 2026 refresher Article URL: https://blog.osull.com/2026/06/12/ryanair-dark-ux-patterns-summer-2026-refresher/ Comments URL: https://news.ycombinator.com/item?id=48502601 Points: 200 # Comments: 158 https://pulse-3k2.pages.dev/news/9c6b3767dab8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/models/moonshotai/Kimi-K2.7-Code.png Kimi K2.7-Code: open-source coding model with better token efficiency Article URL: https://huggingface.co/moonshotai/Kimi-K2.7-Code Comments URL: https://news.ycombinator.com/item?id=48502347 Points: 208 # Comments: 100 https://pulse-3k2.pages.dev/news/ac9e99585739 2026-07-02 monthly 0.7 https://external-preview.redd.it/pVmezHpABseLB4Mj65CMgrY-rZ98C677exRe269R3YY.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=5c85a8488889ccc6bd1a1d9b2aad2aac9ef82ba1 moonshotai/Kimi-K2.7-Code · Hugging Face Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex s https://pulse-3k2.pages.dev/news/4dc0ab04237b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/5244ebd9a79e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13672/gradient.png WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation Abstract WEAVER is a multi-view world model architecture that achieves high fidelity, consistency, and efficiency in robotic manipulation tasks through flow-matching loss and demonstrates superior per https://pulse-3k2.pages.dev/news/8c8a39e048d5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13473/gradient.png MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling Abstract MaxProof is a test-time scaling framework that enhances mathematical proof generation by combining multiple proof-oriented capabilities and using population-level search with tournament selec https://pulse-3k2.pages.dev/news/a9100a2f57e6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13644/gradient.png Surflo: Consistent 3D Surface Flow Model with Global State Abstract Surflo compresses unposed RGB views into latent tokens and decodes 3D surface points through flow matching, enabling flexible resolution output and efficient processing compared to existing m https://pulse-3k2.pages.dev/news/dd73139d2e3d 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/3uhZVST93Uain15J19fqjF/544b8b12c44fb2035c96b419c5196013/Frame.png?w=1600&amp;h=900&amp;fit=fill New OpenAI Academy courses for the next era of work OpenAI introduces three Academy courses that help people build practical AI skills, create repeatable workflows, and apply agents in everyday work. https://pulse-3k2.pages.dev/news/1feb219758c7 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13572/gradient.png ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages Abstract ArogyaBodha dataset and ArogyaSutra framework enhance multilingual medical reasoning in low-resource settings through diverse data integration and actor-critic multi-agent reasoning. Generate https://pulse-3k2.pages.dev/news/28e00795d4d2 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a22d31dde037 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.06113/gradient.png Where, What, Why, and Importance: Structured Defect Grounding for Text-to-Image Feedback Abstract Structured Defect Grounding (SDG) addresses limitations in text-to-image model diagnosis by modeling defects as structured sets and using vision-language models for detection and reward-based https://pulse-3k2.pages.dev/news/ad356c4a7c76 2026-07-02 monthly 0.7 https://external-preview.redd.it/cWZ6MG84aDJrdDZoMQ6GdWrOykofpOivfwbNdUgy_NXEbOmbhbAnalYK_C57.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=e77b41411b9c0e7584b7e4b5b38439ee99dfbe47 [browser-use-wasm] I made a browser-use agent that runs in WASM at zero cost The only cost is electricity! I built this in a few weeks since I couldn't find anything else like it. Demo: https://pdufour.github.io/browser-use-wasm/ Source Code: https://github.com/pdufour/browser https://pulse-3k2.pages.dev/news/dfd28496d227 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a39502288be1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.08103/gradient.png Revisiting Articulated Parts Perception in Robot Manipulation Abstract A new geometric representation called Geometric Primary Structure (GPS) is introduced for articulated parts perception, enabling efficient data collection through VR annotation and achieving https://pulse-3k2.pages.dev/news/8fac79b4a617 2026-07-02 monthly 0.7 https://preview.redd.it/vv7t7jyugt6h1.jpg?width=140&amp;height=105&amp;auto=webp&amp;s=bdfe34ad3b260304b0a7eaa5b88b2562f9d2016d Huawei Released openPangu 2.0 (Will open source on June 30) At the Huawei Developer Conference (HDC 2026) held on June 12, Richard Yu, Executive Director of Huawei, officially launched the brand-new, open-source Pangu large model—openPangu 2.0. The model is fu https://pulse-3k2.pages.dev/news/07013c732672 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/58b38aa2256e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12303/gradient.png From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion Abstract A multimodal image fusion approach uses a 1D token interface from a pretrained image tokenizer to enhance global appearance coherence while preserving local details through selective token ed https://pulse-3k2.pages.dev/news/b33615b8ea12 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13289/gradient.png HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Abstract HYDRA-X presents a unified multimodal model that integrates image and video tokenization within a single Vision Transformer, addressing spatiotemporal reconstruction and semantic awareness th https://pulse-3k2.pages.dev/news/d13850902ad6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/e79165427c77 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12243/gradient.png VIA-SD: Verification via Intra-Model Routing for Speculative Decoding Abstract VIA-SD introduces a multi-tier speculative decoding framework that uses intra-model routing to reduce verification costs by employing slim submodels for medium-confidence token validation, ac https://pulse-3k2.pages.dev/news/2212c65227a1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11662/gradient.png TreeSeeker: Tree-Structured Trial, Error, and Return in Deep Search Abstract TreeSeeker is an inference-time framework that uses tree-structured search with branch-and-return control to manage exploration and exploitation in deep search tasks, improving performance th https://pulse-3k2.pages.dev/news/e7519d44dda6 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.10896/gradient.png Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering Abstract Flash-GMM introduces an efficient fused Triton kernel for Gaussian Mixture Models that achieves significant speedup and enables processing much larger datasets on a single GPU. Generated by Q https://pulse-3k2.pages.dev/news/b5e136690472 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6407666acd23 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09446/gradient.png Leveraging Morphology for Historical Script Metrological Analysis Abstract A transformer-based architecture with prototype learning enables scalable paleographic measurements from historical documents using only line-level transcriptions, demonstrating its effective https://pulse-3k2.pages.dev/news/157892805703 2026-07-02 monthly 0.7 https://preview.redd.it/o1e81oyh7t6h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=7ac6ef78b7de4aeab456eff19539e1ffa332a0d5 🚀PP-OCRv6 is officially released ! 🔥PaddleOCR’s new OCR model series scales from 1.5M to 34.5M parameters, bringing stronger accuracy, faster inference, and broader deployment options — from browsers and edge devices to servers. 📊Wha https://pulse-3k2.pages.dev/news/d44c59b67987 2026-07-02 monthly 0.7 https://external-preview.redd.it/zRu_wUfy9Cp3Pp1kRAc-36MR3EQOz-NzxEdhKIKhhV0.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=419bf4a915957f4d01641017696b16c3434fff53 EAGLE3 has landed in llama.cpp After half a year of development, EAGLE3 has been merged into llama.cpp. EAGLE3 is similar to MTP, but different: the helper model gets extra guidance from the main model instead of guessing completel https://pulse-3k2.pages.dev/news/33e7c1dfc7c8 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9955afa03683 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0fa180c7c7a5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12282/gradient.png PianoKontext: Expressive Performance Rendering from Deadpan Context Abstract PianoKontext generates variable-length piano performances by aligning MIDI scores with audio in latent space using DTW and DiT blocks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Expressive https://pulse-3k2.pages.dev/news/eb302930ece6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/727bab44e7fb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/52aba7a040d6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/c36546a309d1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b05e4cb70d69 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ff0e66446488 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11096/gradient.png IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder Abstract Representation autoencoders using deep learning frameworks can improve image reconstruction quality by combining shallow and deep visual feature representations for better semantic richness a https://pulse-3k2.pages.dev/news/5d6d3acafd12 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12575/gradient.png High-Fidelity Two-Step Image Generation via Teacher-Aligned End-to-End Distillation Abstract A 2-step image generation model is developed through distillation from an 8-step teacher using distribution-aligned adversarial learning, step-decoupled parameterization, and end-to-end train https://pulse-3k2.pages.dev/news/82d2f676b721 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/02e414773efb 2026-07-02 monthly 0.7 https://discourse.ifin.network/uploads/default/original/2X/e/efd08247e0471547bbde75ec94dd7598a6683bff.png AUR packages compromised with Infostealer and Rootkit Article URL: https://discourse.ifin.network/t/400-aur-packages-compromised-with-infostealer-and-rootkit/577 Comments URL: https://news.ycombinator.com/item?id=48500447 Points: 203 # Comments: 123 https://pulse-3k2.pages.dev/news/53984c6c59ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a39981320d6c 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!6Y74!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F517bbc58-4f26-46b5-a12e-f4a5f84b0a30_1986x1118.png [AINews] Loopcraft: The Art of Stacking Loops a quiet day lets us highlight a great concept from Peter Steinberger, Boris Cherny, and Andrej Karpathy https://pulse-3k2.pages.dev/news/4b64232d6a9d 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!6Y74!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F517bbc58-4f26-46b5-a12e-f4a5f84b0a30_1986x1118.png [AINews] Loopcraft: The Art of Stacking Loops a quiet day lets us highlight a great concept from Peter Steinberger, Boris Cherny, and Andrej Karpathy https://pulse-3k2.pages.dev/news/8ca035c305d4 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13392/gradient.png MiniMax Sparse Attention Abstract MiniMax Sparse Attention enables efficient processing of ultra-long contexts in large language models through blockwise sparsity and optimized GPU execution, achieving significant speedups wh https://pulse-3k2.pages.dev/news/d471b754e324 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d665205efdbf 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13364/gradient.png VideoMDM: Towards 3D Human Motion Generation From 2D Supervision Abstract VideoMDM trains 3D human motion priors from 2D poses using a diffusion framework with 2D reprojection loss and 3D motion regularizers, achieving near-3D supervised performance without requiri https://pulse-3k2.pages.dev/news/37a356f2d0f0 2026-07-02 monthly 0.7 https://lantian.pub/apple-touch-icon.png AI agent bankrupted their operator while trying to scan DN42 Article URL: https://lantian.pub/en/article/fun/ai-agent-bankrupted-their-operator-scan-dn42lantian.lantian/ Comments URL: https://news.ycombinator.com/item?id=48500012 Points: 347 # Comments: 99 https://pulse-3k2.pages.dev/news/551d15dff70d 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/Screenshot-2026-06-11-at-3.39.00-PM.jpg?resize=1200,685 Cheaper, faster, and culturally aware, Avataar&#8217;s video AI is built for India&#8217;s scale Avataar AI's distilled video model is priced at $0.005 for every second of generation https://pulse-3k2.pages.dev/news/9c1e60ab88e8 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/6743e47b7ab96a803eda85ad33e9dc64e7a9b8bf68fde937edb56e59a39e6ea2/langchain-ai/langchain/releases/tag/langchain%3D%3D1.3.8 langchain==1.3.8 Changes since langchain==1.3.7 release(langchain): 1.3.8 ( #38096 ) style(core,langchain,langchain-classic,partners): replace double backticks in docstrings ( #38095 ) release(core): 1.4.6 ( #38061 ) https://pulse-3k2.pages.dev/news/3f7e58177da1 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13578/gradient.png LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories Abstract LabVLA, a vision-language-action model trained with a two-stage approach combining action token pretraining and flow matching, demonstrates superior performance on laboratory automation tasks https://pulse-3k2.pages.dev/news/50c8fbc217d9 2026-07-02 monthly 0.7 https://preview.redd.it/wsq4fyhpzr6h1.png?width=140&amp;height=97&amp;auto=webp&amp;s=b696984d64ca0152561e5fcabe9131c3473df9db So Is Parrot Better Than Existing Models or Not? [D] https://preview.redd.it/wsq4fyhpzr6h1.png?width=745&format=png&auto=webp&s=7ade94f5852667bf6a820398e3fcf8dcb0d450af &#32; submitted by &#32; /u/HitarthSurana [link] &#32; [comments] https://pulse-3k2.pages.dev/news/926d0bf32a23 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EDEN: A Large-Scale Corpus of Clinical Notes for Italian arXiv:2606.12569v1 Announce Type: new Abstract: We present EDEN (Emergency Department Electronic Notes), a new and unique large-scale corpus of clinical notes produced in Emergency Departments of Ital https://pulse-3k2.pages.dev/news/06a03585ccda 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Helping Figures Tell their Story! Paper-Grounded Video Generation Explaining Complex Scientific Figures arXiv:2606.12576v1 Announce Type: new Abstract: Scientific figures compress complex pipelines into a single canvas, yet understanding them requires paper-grounded, step-by-step narration aligned with https://pulse-3k2.pages.dev/news/aef599dc71c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction arXiv:2606.12578v1 Announce Type: new Abstract: Mechanism-level drug-drug interaction (DDI) prediction requires identifying which enzyme or pharmacodynamic axis is implicated, in which direction, and https://pulse-3k2.pages.dev/news/14e59d015f03 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Constrained Semantic Decompression in LLMs through Persian Proverb-Conditioned Story Generation arXiv:2606.12599v1 Announce Type: new Abstract: Transforming a dense, abstract proverb into an engaging and morally faithful narrative requires deep cultural understanding and robust semantic groundin https://pulse-3k2.pages.dev/news/44af5dd5d1e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Shopping Reasoning Bench: An Expert-Authored Benchmark for Multi-Turn Conversational Shopping Assistants arXiv:2606.12608v1 Announce Type: new Abstract: Conversational shopping assistants now serve hundreds of millions of customers, yet no existing benchmark jointly evaluates the open-ended multi-turn re https://pulse-3k2.pages.dev/news/2360892d5b2c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MentalMARBERT: Domain-Adaptive Pre-training and Two-Stage Fine-Tuning for Arabic Mental Health Disorders Detection arXiv:2606.12649v1 Announce Type: new Abstract: Detecting mental health disorders from Arabic social media text remains challenging due to dialectal variation, informal language, limited high-quality https://pulse-3k2.pages.dev/news/1c08b64502f5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models arXiv:2606.12689v1 Announce Type: new Abstract: Latent reasoning models (LRMs) replace explicit chain-of-thought with continuous thoughts. Recent work treats observable latent-state patterns, such as https://pulse-3k2.pages.dev/news/117f67e126e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages arXiv:2606.12708v1 Announce Type: new Abstract: Despite their linguistic diversity and global significance, African languages remain underrepresented in research and resources to support NLP. We aim t https://pulse-3k2.pages.dev/news/52bd1c0bf250 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review arXiv:2606.12716v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) and Multimodal LLMs (MLLMs) into scientific peer-review workflows introduces novel and significant risks https://pulse-3k2.pages.dev/news/75d3f60ea8c9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Agent-based models for the evolution of morphological alternation patterns arXiv:2606.12748v1 Announce Type: new Abstract: Why is the past of English "go" the apparently unrelated "went"? Such alternations are frequent in languages. They neither aid communication nor learnab https://pulse-3k2.pages.dev/news/acb524dc18c0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LLMs Can Better Capture Human Judgments--With the Right Prompts arXiv:2606.12754v1 Announce Type: new Abstract: Are large language models (LLMs) bad at capturing human judgment? Two commonly stated limitations are that LLMs fail to capture full distributions of re https://pulse-3k2.pages.dev/news/d4bb33a5575e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rigel: Reverse-Engineering the Metal 4.1 Tensor Compute Path on the Apple M4 Max GPU arXiv:2606.12765v1 Announce Type: new Abstract: Apple's Metal 4.1 exposes a tensor compute path: the Metal Performance Primitives (MPP) matmul2d operation over cooperative_tensor fragments, whose inte https://pulse-3k2.pages.dev/news/3e6a6fb927d3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation arXiv:2606.12789v1 Announce Type: new Abstract: Evaluating retrieval-augmented generation (RAG) systems requires benchmarks that capture diverse question characteristics, yet practitioners lack empiri https://pulse-3k2.pages.dev/news/0363501c143e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GENIE: A Fine-Grained Measure for Novelty arXiv:2606.12790v1 Announce Type: new Abstract: Large Language Models have consistently demonstrated a lack of creativity and diversity across tasks. Prior work has focused on addressing whether model https://pulse-3k2.pages.dev/news/26dbae8e48e8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts arXiv:2606.12807v1 Announce Type: new Abstract: Summaries of real-world events can become outdated as contexts evolve and new information arrives. A common response is to generate a new summary from t https://pulse-3k2.pages.dev/news/69317bdf924b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Localizing Anchoring Pathways in Language Models arXiv:2606.12818v1 Announce Type: new Abstract: Irrelevant numbers in a prompt can shift language model judgments, producing anchoring effects in numerical reasoning. We study where this anchor-sensit https://pulse-3k2.pages.dev/news/ab832f1e5493 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling arXiv:2606.12837v1 Announce Type: new Abstract: Search agent benchmarks exemplified by BrowseComp have rapidly saturated over the past year, with the strongest models surpassing 90% accuracy. Since th https://pulse-3k2.pages.dev/news/dfa66a1a96db 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization arXiv:2606.12854v1 Announce Type: new Abstract: Large Language Models such as GPT-4o and GPT-5 achieve strong zero-shot performance on biomedical claim verification, but cost and opacity limit scalabl https://pulse-3k2.pages.dev/news/3fb6edd89e5c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study arXiv:2606.12881v1 Announce Type: new Abstract: We present an approach to fine-tuning large language models using Direct Preference Optimization (DPO), a reinforcement learning technique. Our experime https://pulse-3k2.pages.dev/news/f551e2012c9c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SafeLLM: Extraction as a Hallucination-Resistant Alternative to Rewriting in Safety-Critical Settings arXiv:2606.12897v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to access organisational documentation, including standard operating procedures (SOPs), HR policies a https://pulse-3k2.pages.dev/news/f7cd1861e12d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PRISM: Prosody-Integrated Multi-Agent Reasoning Framework for Empathetic Spoken Dialogue arXiv:2606.12902v1 Announce Type: new Abstract: Empathetic spoken dialogue systems require not only semantically appropriate responses but also emotionally aligned prosodic expression. However, cascad https://pulse-3k2.pages.dev/news/a5bfaf9db140 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png X-MADAM-RAG: Diagnosing and Handling Chinese-English Evidence Conflict in Retrieval-Augmented Generation arXiv:2606.12903v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) systems may receive evidence that is not merely noisy but mutually contradictory. This issue becomes particularly s https://pulse-3k2.pages.dev/news/52ded178153c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents arXiv:2606.12908v1 Announce Type: new Abstract: Language model agents are increasingly effective in solving realistic tasks through multi-turn tool use. However, training reliable tool-using agents re https://pulse-3k2.pages.dev/news/08002b052f39 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translation arXiv:2606.12911v1 Announce Type: new Abstract: Cascaded speech translation (ST) systems suffer from error propagation when Automatic Speech Recognition (ASR) outputs incorrect transcripts. We present https://pulse-3k2.pages.dev/news/1311beb55ba3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Polar: A Benchmark for Evaluating Political Bias in LLMs arXiv:2606.12922v1 Announce Type: new Abstract: Political bias in large language models (LLMs) is increasingly significant, but difficult to measure reproducibly across political and linguistic contex https://pulse-3k2.pages.dev/news/ae5fb70db666 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Turn Reasoning When Context Arrives in Pieces: Scalable Sharding and Memory-Augmented RL arXiv:2606.12941v1 Announce Type: new Abstract: When a user reveals task-critical information across several conversation turns, LLM accuracy drops by up to 65% despite full context availability. We s https://pulse-3k2.pages.dev/news/1ac0aceb4b93 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SkillChain: Closing the Loop on Skill Evolution for Image-Based E-Commerce AI Assistants arXiv:2606.12984v1 Announce Type: new Abstract: Image-based AI assistants are now deployed at production scale on e-commerce platforms, where a single uploaded image can trigger fundamentally differen https://pulse-3k2.pages.dev/news/dfae7a1c7f44 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions arXiv:2606.13044v1 Announce Type: new Abstract: As AI-generated reviews move from experimental tools into peer-review infrastructure, most robustness concerns have focused on explicit attacks such as https://pulse-3k2.pages.dev/news/eee976a94a4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling arXiv:2606.13082v1 Announce Type: new Abstract: The extraction of structured clinical information from unstructured EHR notes is a persistent bottleneck in healthcare informatics. While large language https://pulse-3k2.pages.dev/news/8f9d723902ec 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LEDGER: A Long-Context Benchmark of Corporate Annual Reports for Grounded Financial Retrieval and Extraction arXiv:2606.13100v1 Announce Type: new Abstract: Finance reporting is a natural proving ground for large language models, and the very-long-context capabilities of recent models across all sizes make r https://pulse-3k2.pages.dev/news/55e08e4d072e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png M\"OVE: A Holistic LLM Benchmark for the German Public Sector arXiv:2606.13111v1 Announce Type: new Abstract: We present M\"OVE (Modelle f\"ur die \"Offentliche Verwaltung Evaluieren), a holistic benchmark for evaluating large language models (LLMs) in the conte https://pulse-3k2.pages.dev/news/7ecb66705f43 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png G-Long: Graph-Enhanced Memory Management for Efficient Long-Term Dialogue Agents arXiv:2606.13115v1 Announce Type: new Abstract: While Large Language Models (LLMs) have advanced open-domain dialogue systems, maintaining long-term consistency remains a challenge due to inherent lim https://pulse-3k2.pages.dev/news/61d140764cef 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge arXiv:2606.13120v1 Announce Type: new Abstract: Search Agents -- large language models augmented with search tools -- have intensified the need for future-proof evaluation benchmarks. Existing benchma https://pulse-3k2.pages.dev/news/9bf2b40798d5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NaturalFlow: Reducing Disruptive Pauses for Natural Speech Flow in Simultaneous Speech-to-Speech Translation arXiv:2606.13121v1 Announce Type: new Abstract: Simultaneous speech-to-speech translation aims to enable near-real-time communication by minimizing latency, offering a compelling, real-time alternativ https://pulse-3k2.pages.dev/news/c46b9c204f4d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HyPE: Category-Aware Hypergraph Encoding with Persistent Edge Embeddings for Persona-Grounded Dialogue arXiv:2606.13142v1 Announce Type: new Abstract: Persona-grounded dialogue systems aim to produce responses consistent with a speaker's persona, yet existing methods treat personas as a flat set of sen https://pulse-3k2.pages.dev/news/da7ce426108e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning arXiv:2606.13171v1 Announce Type: new Abstract: The rapid updates of online news make tracking event developments challenging, highlighting the need for timeline summarization (TLS). Hallucinations, w https://pulse-3k2.pages.dev/news/0fe0bcca2792 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MemRefine: LLM-Guided Compression for Long-Term Agent Memory arXiv:2606.13177v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to operate over long-term interactions, where information from past dialogues must be preser https://pulse-3k2.pages.dev/news/47ef340bfe76 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LAUKIN: A Multi-jurisdictional Common Law Contract Dataset arXiv:2606.13184v1 Announce Type: new Abstract: Multinational companies increasingly require cross-jurisdictional contract review, yet existing legal NLP datasets are largely restricted to a single ju https://pulse-3k2.pages.dev/news/2ae02e3cd244 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit arXiv:2606.13187v1 Announce Type: new Abstract: Bioethical debates increasingly unfold on social media, yet stance detection research lacks large-scale, domain-specific resources for modeling such con https://pulse-3k2.pages.dev/news/587a40ca3b0d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SICI: A Semantic-Pragmatic Complexity Index Reveals Regime Shifts in LLM Stance Detection arXiv:2606.13189v1 Announce Type: new Abstract: Prompt-based LLMs are increasingly used for stance detection, but harder examples are not always repaired by clearer instructions, reasoning prompts, re https://pulse-3k2.pages.dev/news/8c36951859cb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization arXiv:2606.13216v1 Announce Type: new Abstract: Optimal transport (OT) has been shown to detect hallucinations in neural machine translation (NMT) by measuring the geometric distance between cross-att https://pulse-3k2.pages.dev/news/17ee2f01e922 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Similar Means Different: Evaluating LLMs on Arabic--Hebrew Cognates arXiv:2606.13218v1 Announce Type: new Abstract: Arabic and Hebrew, as closely related Semitic languages, share a substantial lexicon of true cognates, misleading false friends, and modern loanwords. T https://pulse-3k2.pages.dev/news/7aa4a7b6ccd9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PolyAlign: Conditional Human-Distribution Alignment arXiv:2606.13227v1 Announce Type: new Abstract: Post-training methods such as supervised fine-tuning (SFT) and preference optimization typically align language models toward a single global assistant https://pulse-3k2.pages.dev/news/2b5a9d3128b6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Evaluating Pluralism in LLMs through Latent Perspectives arXiv:2606.13254v1 Announce Type: new Abstract: The growing need to represent diverse perspectives has increased interest in pluralistic LLM generation. Although difficult to operationalize, identifyi https://pulse-3k2.pages.dev/news/55d22f459ac9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue arXiv:2606.13310v1 Announce Type: new Abstract: The original Turing Test asks a human judge to distinguish a machine from a person through dialogue. Three quarters of a century later, conversational s https://pulse-3k2.pages.dev/news/965214896652 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SkillCAT: Contrastive Assessment and Topology-Aware Skill Self-Evolution for LLM Agents arXiv:2606.13317v1 Announce Type: new Abstract: Skill self-evolution methods for LLM agents aim to turn execution trajectories into reusable skill documents, but current pipelines typically learn from https://pulse-3k2.pages.dev/news/d98b5752f7a3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation arXiv:2606.13322v1 Announce Type: new Abstract: We present a low-latency real-time audio game commentary system that generates spoken commentary directly from live gameplay video. In this end-to-end s https://pulse-3k2.pages.dev/news/57efcab0966f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IVIE: A Neuro-symbolic Approach to Incremental and Validated Generation of Interactive Fiction Worlds arXiv:2606.13348v1 Announce Type: new Abstract: Computational creativity in Interactive Fiction faces a fundamental tension: Large Language Models (LLM) may produce creative narratives but struggle wi https://pulse-3k2.pages.dev/news/fc3659ef7539 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent arXiv:2606.13349v1 Announce Type: new Abstract: Large language models (LLMs) have shown promise in automating scientific peer review. However, existing approaches often struggle to generate in-depth r https://pulse-3k2.pages.dev/news/50f701e99af1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect arXiv:2606.13411v1 Announce Type: new Abstract: The rapid growth of social media has intensified the spread of rumours. This issue is more challenging in the Algerian context due to the informal and c https://pulse-3k2.pages.dev/news/fd4ce3aac9fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png S-GBT: Smooth Growth Bound Tensor for Certified Robustness Against Word Substitution Attacks in NLP arXiv:2606.13439v1 Announce Type: new Abstract: Despite recent progress in Natural Language Processing (NLP), models remain vulnerable to word substitution attacks. Most existing defenses focus on fir https://pulse-3k2.pages.dev/news/e1834227a240 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Ontology Memory-Augmented ASR Correction for Long Text-Speech Interleaved Conversations arXiv:2606.13464v1 Announce Type: new Abstract: Automatic speech recognition (ASR) correction has traditionally focused on isolated utterances or short local contexts. However, as text and speech beco https://pulse-3k2.pages.dev/news/3214ff6cba79 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Leveraging Audio-LLMs to Filter Speech-to-Speech Training Data arXiv:2606.13507v1 Announce Type: new Abstract: Large-scale mined corpora provide abundant training data for end-to-end speech-to-speech translation (S2ST) but may contain noise, misalignment, and sem https://pulse-3k2.pages.dev/news/54ba4cfc331f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Does Mixing Help? Analyzing Query Embedding Interpolation in Multilingual Dense Retrieval arXiv:2606.13537v1 Announce Type: new Abstract: While mixed-language querying is ubiquitous in multilingual communities, the sensitivity of dense retrievers to such queries remains poorly understood. https://pulse-3k2.pages.dev/news/22518cebc3d8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages arXiv:2606.13572v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have shown promising reasoning capabilities in general domains, yet their performance remains limited in specia https://pulse-3k2.pages.dev/news/0b5b0caed424 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories arXiv:2606.13578v1 Announce Type: new Abstract: Scientific laboratories increasingly rely on AI systems to reason about experiments, but the physical act of doing science remains largely outside their https://pulse-3k2.pages.dev/news/cf364654ca27 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png One Polluted Page Is Enough: Evaluating Web Content Pollution in Generative Recommenders arXiv:2606.13610v1 Announce Type: new Abstract: Search-augmented LLMs increasingly mediate everyday consumer recommendations by retrieving live web content. This creates a new risk: generative recomme https://pulse-3k2.pages.dev/news/1b15056b744d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond Uniform Tokens: Adaptive Compression for Time Series Language Models arXiv:2606.13624v1 Announce Type: new Abstract: Large language models (LLMs) have enabled time series (TS) analysis by jointly modeling numerical observations and textual context through a shared toke https://pulse-3k2.pages.dev/news/cafee1857923 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png From Tokens to Faces: Investigating Discrete Speech Representations for 3D Facial Animation arXiv:2606.13630v1 Announce Type: new Abstract: The choice of speech representation is critical in speech-driven 3D facial animation. Representations differ in what they encode: SSL features emphasize https://pulse-3k2.pages.dev/news/8ace45a382eb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Operads for compositional reasoning in LLMs arXiv:2606.13634v1 Announce Type: new Abstract: Question decomposition, i.e. breaking a complex query into simpler sub-queries whose answers are composed to produce a final answer, is a widely used st https://pulse-3k2.pages.dev/news/c06c7f9c2f8e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recursive Agent Harnesses arXiv:2606.13643v1 Announce Type: new Abstract: Recursive language models (RLMs) showed that recursion over model calls is an effective strategy for long-context reasoning, and production coding agent https://pulse-3k2.pages.dev/news/d821848a1fdb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation arXiv:2606.13647v1 Announce Type: new Abstract: We introduce SkMTEB, the first comprehensive MTEB-style text embedding benchmark for Slovak, a low-resource West Slavic language, comprising 31 datasets https://pulse-3k2.pages.dev/news/b35f088c52ac 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Operadic consistency: a label-free signal for compositional reasoning failures in LLMs arXiv:2606.13649v1 Announce Type: new Abstract: Detecting LLM reasoning failures at inference time without ground-truth labels has motivated a wide range of confidence baselines, including self-consis https://pulse-3k2.pages.dev/news/19cc3ba40c2f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents arXiv:2606.13663v1 Announce Type: new Abstract: Tool-augmented LLM agents commonly rely on step-wise atomic tool calls, where each invocation, observation, and value transfer is exposed in the main re https://pulse-3k2.pages.dev/news/299d170f7706 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Influcoder: Distilling Decoders' Gradient Influence Rankings into an Encoder for Data Attribution arXiv:2606.13668v1 Announce Type: new Abstract: With the growth of LLMs' (Large Language Models) capabilities, there has been an increasing push to curate high quality datasets by filtering samples in https://pulse-3k2.pages.dev/news/0e9d51f2ec8b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning to Reason by Analogy via Retrieval-Augmented Reinforcement Fine-Tuning arXiv:2606.13680v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) has become a standard mechanism for grounding language models in external knowledge, yet conventional retrieval bas https://pulse-3k2.pages.dev/news/b96ee01b81d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments arXiv:2606.13681v1 Announce Type: new Abstract: Large language model (LLM) agents have achieved strong performance on a wide range of benchmarks, yet most evaluations assume static environments. In co https://pulse-3k2.pages.dev/news/aee83d3f3a4c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas arXiv:2606.12413v1 Announce Type: cross Abstract: Students at all levels of higher education face a significant barrier in the form of information overload, which often paralyzes the initial stages of https://pulse-3k2.pages.dev/news/e26f43666572 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science arXiv:2606.12426v1 Announce Type: cross Abstract: LLM annotators are increasingly used in computational social science (CSS), but it is unclear whether their alignment-shaped errors preserve the empir https://pulse-3k2.pages.dev/news/33312535e1e2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Marginal Alignment Does Not Guarantee Joint-Distribution Fidelity: An Official-Reference Audit of Nemotron-Personas-Korea with Cross-Locale Replication arXiv:2606.12433v1 Announce Type: cross Abstract: Synthetic persona datasets cite alignment with official demographics as a basis for trust, yet downstream users consume them as joint structures acros https://pulse-3k2.pages.dev/news/7791b0bfcad2 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Occupational Prompting Reveals Cultural Bias in Large Language Models arXiv:2606.12443v1 Announce Type: cross Abstract: Social roles shape expectations, priorities, and judgments, yet it remains unclear how large language models (LLMs) associate occupational identities https://pulse-3k2.pages.dev/news/38b40240f0df 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Identifiability Without Gaussianity: Symbolic World Models and Near-Infinite Temporal Consistency arXiv:2606.12471v1 Announce Type: cross Abstract: Klindt, LeCun, and Balestriero (arXiv:2605.26379) proved that Joint-Embedding Predictive Architectures (JEPAs) achieve linear identifiability, the lin https://pulse-3k2.pages.dev/news/91a21613d6e3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quickest Detection of Hallucination Onset: Delay Bounds and Learned CUSUM Statistics arXiv:2606.12476v1 Announce Type: cross Abstract: Token-level hallucination detectors are evaluated as classifiers, by AUC over all tokens, yet a streaming monitor is judged by its reaction time: the https://pulse-3k2.pages.dev/news/8d4f52058bf0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PersonaDrive: Human-Style Retrieval-Augmented VLA Agents for Closed-Loop Driving Simulation arXiv:2606.12616v1 Announce Type: cross Abstract: Closed-loop driving simulators typically populate their environments with non-ego traffic agents that behave largely the same way, produced either by https://pulse-3k2.pages.dev/news/bf1d2d45bcbe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Keep Policy Gradient in Charge: Sibling-Guided Credit Distillation for Long-Horizon Tool-Use Agents arXiv:2606.12634v1 Announce Type: cross Abstract: Long-horizon tool-use reinforcement learning can learn from outcome verification, but its trajectory-level advantage is broadcast across many reasonin https://pulse-3k2.pages.dev/news/04b0c3c7ee31 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Rethinking Psychometric Evaluation of LLMs: When and Why Self-Reports Predict Behavior arXiv:2606.12730v1 Announce Type: cross Abstract: Anticipating LLM behavioral tendencies from low-cost psychometric probes is critical for safe deployment, but only if self-reports (SR) reliably predi https://pulse-3k2.pages.dev/news/51a02c003510 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Detecting Functional Memorization in Code Language Models arXiv:2606.12764v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to generate code at scale. Meanwhile, prior work has investigated whether training data may be reco https://pulse-3k2.pages.dev/news/ed9eda6e59e6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Agentic MPC for Semantic Control System Resynthesis arXiv:2606.12774v1 Announce Type: cross Abstract: While MPC effectively handles structured, diverse, and low-level specifications, it lacks the capability to dynamically incorporate high-level context https://pulse-3k2.pages.dev/news/d2657bf21c58 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProPlay: Procedural World Models for Self-Evolving LLM Agents arXiv:2606.12780v1 Announce Type: cross Abstract: Self-evolving agents are expected to improve through interaction without external supervision, but this remains difficult in partially observable envi https://pulse-3k2.pages.dev/news/f169a44ce06a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multi-Bitwidth Quantization for LLMs Using Additive Codebooks arXiv:2606.12876v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly deployed across heterogeneous hardware with varying resource constraints, the ability to adaptively m https://pulse-3k2.pages.dev/news/550e4349b514 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension arXiv:2606.12898v1 Announce Type: cross Abstract: Visual Text Comprehension (VTC) renders text into images for a vision-language model (VLM) to read, sidestepping LLM context-window limits and powerin https://pulse-3k2.pages.dev/news/b55602a12fe5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Zero-source LLM Hallucination Detection with Human-like Criteria Probing arXiv:2606.12900v1 Announce Type: cross Abstract: Large language models (LLMs) often hallucinate by generating factually incorrect or unfaithful content, posing significant risks to their safe use. De https://pulse-3k2.pages.dev/news/758a7f033ee0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Trait, Not State: The Durability of Reading Identity in Social Highlighting arXiv:2606.12904v1 Announce Type: cross Abstract: Prior work on a social web highlighter located individuality in selection -- which documents a person chooses to highlight -- but measured it cross-se https://pulse-3k2.pages.dev/news/97ff4d7dd0b7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback arXiv:2606.12916v1 Announce Type: cross Abstract: Molecular dynamics (MD) is the canonical in-silico method for atomistic molecular science, simulating molecular behavior from first-principle physics. https://pulse-3k2.pages.dev/news/25c8be5bed6d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Order Is Not Control arXiv:2606.12923v1 Announce Type: cross Abstract: AI alignment, interpretability, steering, and neural perturbation studies identify order-inducing objects. We argue that order is not control. Control https://pulse-3k2.pages.dev/news/4d24251fb7d4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png The Illusion of Multi-Agent Advantage arXiv:2606.13003v1 Announce Type: cross Abstract: Prevailing wisdom posits that Multi-Agent Systems (MAS) are superior to Single-Agent Systems (SAS), citing advantages like context protection, paralle https://pulse-3k2.pages.dev/news/d585a75f1b07 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning arXiv:2606.13106v1 Announce Type: cross Abstract: Latent chain-of-thought compresses reasoning by replacing visible reasoning traces with continuous hidden-state recurrence, but existing formulations https://pulse-3k2.pages.dev/news/c0796e327f7e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MiniPIC: Flexible Position-Independent Caching in <100LOC arXiv:2606.13126v1 Announce Type: cross Abstract: Retrieval-augmented and agentic workloads repeatedly prefill recurring predictable structured inputs (which we call "spans") such as documents and cod https://pulse-3k2.pages.dev/news/23fb663f49e1 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Getting Better at Working With You: Compiling User Corrections into Runtime Enforcement for Coding Agents arXiv:2606.13174v1 Announce Type: cross Abstract: Interactive LLM agents are becoming part of daily work, but they do not reliably become easier to work with over time: a correction remembered in one https://pulse-3k2.pages.dev/news/d97d0fb9598a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Understanding helpfulness and harmless tension in reward models arXiv:2606.13209v1 Announce Type: cross Abstract: Reward models are a key component of reinforcement learning from human feedback (RLHF), aligning language models toward both helpful and harmless beha https://pulse-3k2.pages.dev/news/364426677b98 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm arXiv:2606.13239v1 Announce Type: cross Abstract: Existing computer-use agents remain fundamentally limited in professional software manipulation: GUI-based agents suffer from fragile visual grounding https://pulse-3k2.pages.dev/news/4d53f5e7a799 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TimeLens: On-Device Artifact Recognition with Retrieval-Augmented Question Answering for the Grand Egyptian Museum arXiv:2606.13267v1 Announce Type: cross Abstract: TimeLens is an AI-powered bilingual mobile guide for the Grand Egyptian Museum (GEM). Pointing a phone at an exhibit, a visitor sees the artifact reco https://pulse-3k2.pages.dev/news/ea1a46aa2749 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality arXiv:2606.13288v1 Announce Type: cross Abstract: Contrastively trained vision-language models like CLIP, have made remarkable progress in learning joint image-text representations, but still face cha https://pulse-3k2.pages.dev/news/616e578c328c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Why Sampling Is Not Choosing: Intentionality, Agency, and Moral Responsibility in Large Language Models arXiv:2606.13441v1 Announce Type: cross Abstract: Recent advances in large language models (LLMs) have prompted claims that such systems exhibit agency or qualify as moral agents. This paper argues th https://pulse-3k2.pages.dev/news/946e761da01f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Examining the Cognitive Gap Between Authors and Peer Reviewers on Academic Paper Novelty arXiv:2606.13452v1 Announce Type: cross Abstract: Novelty is a crucial metric for assessing the quality of academic papers. Scholars strive to highlight the novel aspects of their work, particularly i https://pulse-3k2.pages.dev/news/d1e47046ba4a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling arXiv:2606.13473v1 Announce Type: cross Abstract: We present MaxProof, a population-level test-time scaling framework for competition-level mathematical proof in the MiniMax-M3 series. M3 first trains https://pulse-3k2.pages.dev/news/96cf4e455743 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SupraBench: A Benchmark for Supramolecular Chemistry arXiv:2606.13477v1 Announce Type: cross Abstract: Supramolecular chemistry, which includes the study of non-covalent host-guest assemblies, has advanced various applications. However, designing host-g https://pulse-3k2.pages.dev/news/c615feacd8fb 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Adaptive Turn-Taking for Real-time Multi-Party Voice Agents arXiv:2606.13544v1 Announce Type: cross Abstract: Turn-taking in multi-party spoken conversations remains a fundamental challenge for voice-based agents, particularly under dynamic floor competition a https://pulse-3k2.pages.dev/news/098eda6ec80f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Uncertainty-Aware Hybrid Retrieval for Long-Document RAG arXiv:2606.13550v1 Announce Type: cross Abstract: Retrieval augmented generation (RAG) depends critically on the quality and granularity of retrieved evidence. Large retrieval units preserve context b https://pulse-3k2.pages.dev/news/c9a475396773 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models arXiv:2606.13558v1 Announce Type: cross Abstract: Text-guided image editing with visual autoregressive (VAR) generators requires controlling both what the model samples and where the sampled change is https://pulse-3k2.pages.dev/news/1a2e684f3b34 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09290/gradient.png Visual Para-Thinker++: A Single-Policy Multi-Agent Framework for Visual Reasoning Abstract A multi-agent framework with shared MLLM policy and role-specific training methods improves visual reasoning by reducing hallucinations and enabling efficient parallel processing. Generated b https://pulse-3k2.pages.dev/news/5b68b80c0c24 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09304/gradient.png SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling Abstract Sign-Gated On-Policy Distillation improves upon standard on-policy distillation by incorporating a binary verifier to filter teacher signals, resulting in better performance on mathematical r https://pulse-3k2.pages.dev/news/03076c1184b5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.08063/gradient.png Robust-U1: Can MLLMs Self-Recover Corrupted Visual Content for Robust Understanding? Abstract Robust-U1 enhances multimodal large language models' robustness against visual corruptions through self-recovery capabilities that improve both visual quality and reasoning performance. Gener https://pulse-3k2.pages.dev/news/ecd30146a583 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3ec9497c1627 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13120/gradient.png EvoBrowseComp: Benchmarking Search Agents on Evolving Knowledge Abstract EvoBrowseComp is an evolving benchmark with 800 contamination-free questions synthesized through a three-agent framework that ensures temporal freshness and prevents parametric memorization i https://pulse-3k2.pages.dev/news/9a132408035a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.08788/gradient.png MaskAlign: Token-Subset Representation Alignment for Efficient Diffusion Training Abstract Token-subset representation alignment method called MaskAlign improves diffusion transformer training by reducing reliance on complete token sets and maintaining stable alignment behavior und https://pulse-3k2.pages.dev/news/dc8d352831be 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13681/gradient.png EvoArena: Tracking Memory Evolution for Robust LLM Agents in Dynamic Environments Abstract EvoArena benchmark and EvoMem memory paradigm address the challenge of dynamic environments in LLM agents by modeling progressive updates and structured memory evolution, showing improved per https://pulse-3k2.pages.dev/news/f4971c970e85 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.08039/gradient.png MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning Abstract A Gymnasium-compatible multi-drone simulation environment built on MuJoCo physics engine that supports flexible physics models, action interfaces, and observation spaces for reinforcement lea https://pulse-3k2.pages.dev/news/775be6d7cadd 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13106/gradient.png Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning Abstract A switchable latent reasoning framework uses explicit boundary tokens to enable trainable and interpretable latent reasoning through recurrent hidden states. Generated by Qwen/Qwen2.5-Coder-3 https://pulse-3k2.pages.dev/news/3f2d6e640aa8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12674/gradient.png Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents Abstract Evoflux enables compact language models to execute tool workflows more reliably by using evolutionary search to repair failed plans during inference, significantly improving execution feasibi https://pulse-3k2.pages.dev/news/2962124dfada 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.09426/gradient.png WeaveBench: A Long-Horizon, Real-World Benchmark for Computer-Use Agents with Hybrid Interfaces Abstract WeaveBench presents a comprehensive benchmark for evaluating computer-use agents across multiple interfaces, revealing significant challenges in long-horizon task orchestration and highlighti https://pulse-3k2.pages.dev/news/3e1f43bc5583 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13662/gradient.png EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery Abstract Environment engineering enhances autonomous scientific discovery by designing structured agent environments that optimize behaviors like exploration and collaboration while mitigating issues https://pulse-3k2.pages.dev/news/8396042b09dc 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!z6qY!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F600078d4-98e0-45ea-8588-9e5ce177001b_1200x1200.png 📅 ThursdAI - Jun 11, 2026 - Fable & Mythos 5 are here, Anthropic gets caught sandbagging (then reverses), Siri AI finally works!? and we got live-translated on air From CoreWeave W&B: The model Anthropic once deemed too dangerous to release is now in everyone's hands, with guardrails so heavy it refused to write my show notes. Plus Apple's Gemini-powered Siri AI https://pulse-3k2.pages.dev/news/1be13853995e 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13679/gradient.png InterleaveThinker: Reinforcing Agentic Interleaved Generation Abstract InterleaveThinker enables interleaved generation capabilities for image generators through a multi-agent pipeline with planner and critic agents, achieving performance comparable to state-of- https://pulse-3k2.pages.dev/news/7e9ea488ca46 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12087/gradient.png FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Abstract A framework for creating shortcut-resistant training data for deep search agents by identifying and mitigating four shortcut risks in data synthesis processes. Generated by Qwen/Qwen2.5-Coder https://pulse-3k2.pages.dev/news/70f9ad8040af 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.10768/gradient.png N-GRPO: Embedding-Level Neighbor Mixing for Enhanced Policy Optimization Abstract N-GRPO, a novel exploration strategy within GRPO framework, enhances mathematical reasoning in large language models through semantic neighbor mixing that maintains semantic consistency while https://pulse-3k2.pages.dev/news/1567aba5156a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13673/gradient.png SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning Abstract SpatialClaw is a training-free framework that uses code as an action interface to enable flexible, stateful spatial reasoning in vision-language models, achieving superior performance across https://pulse-3k2.pages.dev/news/da3d90a4f9eb 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.13376/gradient.png MoVerse: Real-Time Video World Modeling with Panoramic Gaussian Scaffold Abstract MoVerse generates real-time interactive video from single images by creating 360° panoramas and 3D Gaussian scaffolds, enabling efficient rendering through diffusion-based techniques. Generat https://pulse-3k2.pages.dev/news/0857feea9489 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8ab494d6b198 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/THEKER-photo-seriesA.jpg?resize=1200,799 Theker just raised $85M to build the factory robot that doesn&#8217;t specialize in anything Unlike humanoid robots designed around a fixed form — think Boston Dynamics — Theker's machines are built to be reconfigured. https://pulse-3k2.pages.dev/news/e3f298eb7d15 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12882/gradient.png HarnessBridge: Learnable Bidirectional Controller for LLM Agent Harness Abstract Learnable harness controller called HarnessBridge is introduced to parameterize agent-environment interfaces through bidirectional projections, achieving performance comparable to specialized https://pulse-3k2.pages.dev/news/7874061062f9 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/jump-to-bug.jpg Claude Fable is relentlessly proactive Article URL: https://simonwillison.net/2026/Jun/11/fable-is-relentlessly-proactive/ Comments URL: https://news.ycombinator.com/item?id=48498573 Points: 245 # Comments: 205 https://pulse-3k2.pages.dev/news/2ef95d5029c3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/04/GettyImages-2208733347.jpg?w=1024 Jeff Bezos&#8217;s Prometheus raises $12B to build an &#8216;artificial general engineer&#8217; for the physical world The new round values the physical AI startup that aims to automate heavy engineering and drug design at $41 billion. https://pulse-3k2.pages.dev/news/736ae26790cb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/51824cb6a706 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/10249fbfefac 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3cdc9cce2f6c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/351f8d2fb38c 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ddc7b24a91dc 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/4TlUSJyvzcUk3f3wPzVmtY/e69435b271f2e2c44c1fe621dae9d24f/oai_Preply_SEO.png?w=1600&amp;h=900&amp;fit=fill How Preply combines AI and human tutors to personalize learning Preply uses OpenAI to launch AI-generated lesson summaries, providing personalised feedback and language learning exercises. https://pulse-3k2.pages.dev/news/4bd00f5db569 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/4fKUAQMBGdQAclkp5lXIoy/0861caaf17ccb49a6bc89f883bea7f82/image.png Program Claude Code, Codex, Pi and other agent harnesses with AI SDK AI SDK 7 introduces HarnessAgent , a single API for running established agent harnesses, including Claude Code, Codex, and Pi. AI SDK has always let you switch models without rewriting your agent. Now https://pulse-3k2.pages.dev/news/aea142c3788e 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/225AWAIWv2RMha71Mbfsw/edfbfcc4a6f9ff01d4be571d03d672f4/Vercel_x_Moonshot.png Kimi K2.7 Code now available on AI Gateway Kimi K2.7 Code from Moonshot AI is now available on AI Gateway . K2.7 Code is a coding model built for long-horizon programming tasks, generalizing across scenarios including frontend development, Dev https://pulse-3k2.pages.dev/news/e00570069b8a 2026-07-02 monthly 0.7 https://assets.vercel.com/image/upload/contentful/image/e5382hct74si/225AWAIWv2RMha71Mbfsw/edfbfcc4a6f9ff01d4be571d03d672f4/Vercel_x_Moonshot.png GLM 5.2 now available on AI Gateway GLM 5.2 is now available on AI Gateway . Built for long-horizon tasks, GLM 5.2 carries project-level engineering context across a single task, runs long-running tasks more reliably, and follows engine https://pulse-3k2.pages.dev/news/8882e47998fa 2026-07-02 monthly 0.7 https://external-preview.redd.it/mnvldNvJmgmvmn6CPV4IIDN9Rl8zxPL2G6K8z2LQrKs.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=4b0357ac10448e828e758c73b710e42a15b66a9f Gemma 4 Quadruple Release, 12B, 12B QAT, 26B-A4B QAT and 31B QAT Uncensored Heretics! gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic: Safetensors: https://huggingface.co/llmfan46/gemma-4-31B-it-qat-q4_0-unquantized-uncensored-heretic GGUF: https://huggingface.co/llmfan46/gemma- https://pulse-3k2.pages.dev/news/8e7ec92e143b 2026-07-02 monthly 0.7 https://external-preview.redd.it/WQ26AnaTZrMVOGqTjXigInCvvP2RzzTVw9MP3AJPX7w.jpeg?width=320&amp;crop=smart&amp;auto=webp&amp;s=3541410f085684990b2d1f60fd8e91449e035280 [Talk] Text Diffusion — Google DeepMind's Brendan O’Donoghue This video was released just a week ago, right before the release of DiffusionGemma, and it's even more relevant now! it answers a lot of questions and confusion I've seen in this sub-reddit on this r https://pulse-3k2.pages.dev/news/c9ab8f8aa14f 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/jump-to-bug.jpg Claude Fable is relentlessly proactive After two days of experience with Claude Fable 5 I think the best way to describe it is relentlessly proactive . It knows a whole lot of tricks and it will deploy pretty much any of them to get to its https://pulse-3k2.pages.dev/news/e70593614d4d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/435cc52d2f08 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/22e874770b40 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7fc81ee3d4b8 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.04261/gradient.png Can Generalist Agents Automate Data Curation? Abstract Automated data curation using generalist coding agents shows promise but requires structured scaffolding to achieve superior performance compared to traditional methods. Generated by Qwen/Qwe https://pulse-3k2.pages.dev/news/c04622986975 2026-07-02 monthly 0.7 https://tombedor.dev/img/icon-1024.png If you are asking for human attention, demonstrate human effort Article URL: https://tombedor.dev/human-attention-and-human-effort/ Comments URL: https://news.ycombinator.com/item?id=48497609 Points: 269 # Comments: 75 https://pulse-3k2.pages.dev/news/b45d4a18b49d 2026-07-02 monthly 0.7 https://images.ctfassets.net/kftzwdyauwt9/6s4MmsQzgkEslCGeLGJDQS/33a57423294f2b72e3bd712d0446c1a8/Codex_For_Open_Source.png?w=1600&amp;h=900&amp;fit=fill Codex for open source Article URL: https://openai.com/form/codex-for-oss/ Comments URL: https://news.ycombinator.com/item?id=48497195 Points: 216 # Comments: 74 https://pulse-3k2.pages.dev/news/c71baa1970c7 2026-07-02 monthly 0.7 https://preview.redd.it/8mts8xrq9q6h1.jpg?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=76d8b782e16564256404622be7d2f706388c0362 5 ICML papers in 5 months [D] “…5 papers at ICML (1 Spotlight)…” “…Five ICML papers is what a strong PhD produces in four years. I did it in five months…” I recently saw these posts from people at the same AI company. At first, I https://pulse-3k2.pages.dev/news/0dea4b600cd5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/1b90f9180a69 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/4c865ecc3592 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d8d953a87245 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2261cbe19815 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11482/gradient.png Building Social World Models with Large Language Models Abstract Social World Model framework captures evolution of social beliefs in response to events through temporal pattern mining and evidence lower bound optimization without explicit human annotation https://pulse-3k2.pages.dev/news/7a32c77e372b 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/07/spacex-falcon-9.jpeg?resize=1200,675 SpaceX officially prices shares at $135 in the largest IPO ever Wits its official share pricing announcement, SpaceX's IPO has begun. https://pulse-3k2.pages.dev/news/887826941f34 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6c0174d69986 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202606/mit-dusp-zhao.jpg?itok=rT3KQlN1 Jinhua Zhao named head of the Department of Urban Studies and Planning An expert in behavioral science and transportation, Zhao combines these studies with AI and public policy to address some of the most urgent challenges facing cities. https://pulse-3k2.pages.dev/news/522e916ceff6 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ea3c54383238 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/369c479051c0 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2024/08/spacex-in-brief.jpg?resize=1200,675 SpaceX SPV investors won&#8217;t know their true holdings until post-IPO lock-ups lift After SpaceX makes its public debut, lower-tier SPV investors face hidden fees, lengthy payout delays, and the risk of outright fraud. https://pulse-3k2.pages.dev/news/dc1632b5ad99 2026-07-02 monthly 0.7 https://developer-blogs.nvidia.com/wp-content/uploads/2026/06/ethernet-tech-blog-networking-software-kv-1920x1080-5338100.webp One-Click Multi-Tenant Security with  NVIDIA Quantum InfiniBand NVIDIA Quantum InfiniBand now offers intent-based security profiles in Unified Fabric Manager (UFM) that enable multi-tenant fabric security in a single... https://pulse-3k2.pages.dev/news/f3aff942834d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/071c291e8aa5 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/de0889c58bbd 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202605/mit-lids-Choice-Modeling.jpg?itok=ILs7D3qy When it comes to predicting people’s preferences, it pays to consider “the power of three” MIT researchers provide a major upgrade to the nearly century-old idea of random utility models. https://pulse-3k2.pages.dev/news/6df4eeb8d0ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/403f3ae6c660 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12385/gradient.png Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs Abstract ModSleuth is an agentic system that recursively reconstructs large-scale dependency graphs for LLM development by analyzing public artifacts and resolving inconsistencies in documentation and https://pulse-3k2.pages.dev/news/18287839ef63 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2605.11212/gradient.png ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction Abstract ReVision improves computer-use agent efficiency by removing redundant visual patches from consecutive screenshots while preserving spatial structure, reducing token usage by 46% and improving https://pulse-3k2.pages.dev/news/51115a94f5d7 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!eJ7w!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F2a279b41-f434-455d-b938-3496e5676d0a_1200x675.jpeg AI #172: The First Fable A lot happened this week, including a great trip out to Lighthaven. https://pulse-3k2.pages.dev/news/2bcd9aaa8579 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/7c867f3f5a8e 2026-07-02 monthly 0.7 https://preview.redd.it/e2s2xrdm8p6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=b2ee0835b303914b950cdbd9297fa86ae2a22dbf Having some fun with LMX-Omni-52B-Halo in Open WebUI &#32; submitted by &#32; /u/jfowers_amd [link] &#32; [comments] https://pulse-3k2.pages.dev/news/a25c9323c395 2026-07-02 monthly 0.7 https://preview.redd.it/cb53k5st5p6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=db8502e9a3a124659e29016c7a9bed2459f8ee62 New models released: Nex-N2 Pro 397B and Nex-N2 Mini 35B They are FTs of Qwen3.5 and the benchmarks look pretty good https://huggingface.co/nex-agi/Nex-N2-mini https://huggingface.co/nex-agi/Nex-N2-Pro &#32; submitted by &#32; /u/1ncehost [link] &#32; [comm https://pulse-3k2.pages.dev/news/89ecd5fda79d 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/69da49433c92 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.04511/gradient.png SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference Abstract SparDA is a decoupled sparse attention architecture that improves long-context LLM inference by reducing KV cache bottlenecks and attention complexity through aForecast projection for lookahe https://pulse-3k2.pages.dev/news/7fc27aaaef02 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6231d1e85fd2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11553/gradient.png APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations Abstract Network-native transformer model APEX demonstrates superior forecasting performance for wireless network telemetry compared to existing foundation models and traditional methods. Generated by https://pulse-3k2.pages.dev/news/cd2ff1cc27c5 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.10587/gradient.png Towards Diverse Scientific Hypothesis Search with Large Language Models Abstract Evolutionary framework for hypothesis generation that improves diversity and quality through multi-temperature sampling and information exchange across search levels. Generated by Qwen/Qwen2. https://pulse-3k2.pages.dev/news/4b6d96d69254 2026-07-02 monthly 0.7 https://news.mit.edu/sites/default/files/styles/news_article__cover_image__original/public/images/202605/mit-Hertz-winners-2026.jpg?itok=YEtq13vO MIT affiliates win 2026 Hertz Foundation Fellowships The fellowships in applied sciences, engineering, and mathematics recognize doctoral students who are pursuing solutions to the most pressing challenges in science and technology. https://pulse-3k2.pages.dev/news/88b9c54bd97e 2026-07-02 monthly 0.7 https://preview.redd.it/6tdagnjeqo6h1.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=880a2ca5f9d2da03e9c3a5e15a46a0e00427ecf4 xdna-top: unified NPU+iGPU terminal monitor for Strix Halo (Ryzen AI Max) — finally see the NPU work If you're running local models on a Ryzen AI Max / Strix Halo box, you've probably noticed it's hard to see what the NPU is actuallydoing. amd-smi is still broken on gfx1151 (ROCm #6035 ( https://gith https://pulse-3k2.pages.dev/news/a0bde3717063 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/47458f7b1ecb 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/a5c55bcf0af3 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2025/03/GettyImages-2180853826.jpg?resize=1200,800 Deezer&#8217;s new tool can identify AI music from Spotify, Apple Music, and others Deezer introduced a tool that scans playlists from Spotify, Apple Music, and other platforms to identify AI music. https://pulse-3k2.pages.dev/news/7db6f299cc02 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6eb103858f8a 2026-07-02 monthly 0.7 https://i.guim.co.uk/img/media/6896f10f7c27f4e6f179c666f072c6bdd627772a/548_0_5821_4658/master/5821.jpg?width=1200&height=630&quality=85&auto=format&fit=crop&precrop=40:21,offset-x50,offset-y0&overlay-align=bottom%2Cleft&overlay-width=100p&overlay-base64=L2ltZy9zdGF0aWMvb3ZlcmxheXMvdGctZGVmYXVsdC5wbmc&enable=upscale&s=5b460ece2e3b1f906962e06dbad7b3c3 Solar generates more energy in US than coal for first time Article URL: https://www.theguardian.com/us-news/2026/jun/11/solar-energy-us-coal Comments URL: https://news.ycombinator.com/item?id=48492306 Points: 282 # Comments: 123 https://pulse-3k2.pages.dev/news/44b83346de3b 2026-07-02 monthly 0.7 https://mrbruh.com/amd2/amd_appconfig.avif The RCE that AMD wouldn't fix See also https://www.youtube.com/watch?v=4HjWHNLRMB0 Related: The RCE that AMD won't fix - https://news.ycombinator.com/item?id=46906947 - Feb 2026 (173 comments) Comments URL: https://news.ycombinato https://pulse-3k2.pages.dev/news/91c189e7852b 2026-07-02 monthly 0.7 https://cdn.prod.website-files.com/6574c9e538a34feac8cec013/6a2a386899570e6f8d646e19_new%20model%20claude.png Claude Fable 5: mid-tier results on coding tasks Article URL: https://www.endorlabs.com/learn/claude-fable-5-mythos-grade-hype Comments URL: https://news.ycombinator.com/item?id=48492210 Points: 236 # Comments: 105 https://pulse-3k2.pages.dev/news/5d3a5202c9c6 2026-07-02 monthly 0.7 https://github.blog/wp-content/uploads/2026/06/blog-post-1.png?resize=1024%2C576 Making secret scanning more trustworthy: Reducing false positives at scale Alerts are more trustworthy and actionable when noise is reduced. See how we improved the verification step with context-aware LLM reasoning. The post Making secret scanning more trustworthy: Reducing https://pulse-3k2.pages.dev/news/5c85c98e9105 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/542983177560 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/54305d1346e7 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/hero.jpg?resize=1200,704 Pool&#8217;s new app turns your screenshots into something useful Pool's new app automatically sorts screenshots into personalized collections, tracks down the original links behind saved content, and helps you rediscover products, recipes, travel ideas, and other t https://pulse-3k2.pages.dev/news/f05718fed421 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.05758/gradient.png DRIFT: A Residual Flow Adapter for Decoding Continuous Outputs in Vision-Language Models Abstract DRIFT is a framework that adapts pretrained vision-language models for continuous decoding tasks by combining coarse prediction with iterative refinement through flow matching, improving perf https://pulse-3k2.pages.dev/news/7a881d742ed8 2026-07-02 monthly 0.7 https://static.simonwillison.net/static/2026/extras-explorer.png datasette 1.0a33 Release: datasette 1.0a33 This alpha is a significant step on the road to a stable 1.0, finally extending the ?_extra= pattern I introduced in Datasette 1.0a3 to cover queries and rows in addition to https://pulse-3k2.pages.dev/news/61d7555bd9f2 2026-07-02 monthly 0.7 https://preview.redd.it/qq3kr31q6o6h1.png?width=140&amp;height=46&amp;auto=webp&amp;s=c6078221ad8c6af50dd258866dcbbf5e8db13d3e DifussionGemma 4 on 4x7900xtx Just got 100 tps on generation, but in total time it around 45-60 t/s in case of prompt processing waiting. Available memory show: GPU KV cache size: 152,671 tokens Maximum concurrency for 131,072 tok https://pulse-3k2.pages.dev/news/f2ecaef53f56 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/706da0da7ebc 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/dfe4eba51f2e 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/14a77ad04ea4 2026-07-02 monthly 0.7 https://miro.medium.com/v2/da:true/bc1f8416df0cad099e43cda2872716e5864f18a73bda2a7547ea082aca9b5632 Lisp's Influence on Ruby Article URL: https://blog.tacoda.dev/lisps-influence-on-ruby-6a54f1a7740e Comments URL: https://news.ycombinator.com/item?id=48491048 Points: 222 # Comments: 62 https://pulse-3k2.pages.dev/news/2ddb75950be3 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/0d307d7e6faa 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9d486753df4a 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2022/08/GettyImages-1232015093.jpg?resize=1200,800 DoorDash&#8217;s new AI chatbot lets you order with prompts and photos The new chatbot, called Ask DoorDash, allows users to search the app for what they're looking for in their own words instead of having to scroll through restaurants and stores to build a cart. https://pulse-3k2.pages.dev/news/5d854b42715f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12412/gradient.png Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models Abstract Vision-language models can improve grounding performance under aggressive token reduction by replacing irreversible visual-token pruning with recoverable routing that allows tokens to re-ente https://pulse-3k2.pages.dev/news/11c4f682d9ab 2026-07-02 monthly 0.7 https://preview.redd.it/zrnom6hrwn6h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=a947f2c1fe6554b697474db029d0b07c686c8d94 DiffusionGemma under real workloads feels very different from benchmark demos okay after testing DiffusionGemma a bit more internally we genuinely can’t tell if this is the start of something big or if everyone’s just getting distracted by crazy TPS numbers again lol but one th https://pulse-3k2.pages.dev/news/36b0e3fa2791 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/9e16508d2dd1 2026-07-02 monthly 0.7 https://preview.redd.it/5hbga1n8pn6h1.png?width=140&amp;height=140&amp;crop=1:1,smart&amp;auto=webp&amp;s=b1f3d20e85cd1cd235c4e10a3c37a448f71d00d3 As we know Minimax M3 is just going to be open sourced in few days and because of that I was surfing on internet searching for its scores and I found out pretty interesting results. Is Minimax M3 really that good in agentic stuff and in coding? Is it better than older gpt models? Has anyone personally compared the Minimax M3 model against other proprietary models to determine its relative performance tier? I am trying to understand where it currently ranks in the broader Al la https://pulse-3k2.pages.dev/news/4517921a9a14 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!DoGq!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fpbs.substack.com%2Fmedia%2FHKgLLVCbwAAsql6.jpg Breaking: OpenAI is pondering “drastic” price cuts. And that&#8217;s a sign of weakness https://pulse-3k2.pages.dev/news/90929ad8b486 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12203/gradient.png Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models Abstract SKIM is an adaptive multi-resolution soft token compression framework that efficiently compresses procedural skills while maintaining task performance and enabling lightweight offline compres https://pulse-3k2.pages.dev/news/b8e1a5449483 2026-07-02 monthly 0.7 https://i.insider.com/6a2a9528457accd9f7cea838?width=1200&format=jpeg Workers are spending over 6 hours a week botsitting AI, fueling job frustration Article URL: https://www.businessinsider.com/botsitting-ai-hidden-human-labor-at-work-2026-6 Comments URL: https://news.ycombinator.com/item?id=48490057 Points: 217 # Comments: 183 https://pulse-3k2.pages.dev/news/7863add78999 2026-07-02 monthly 0.7 https://brew.sh/assets/img/homebrew-social-card.png Show HN: Homebrew 6.0.0 Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on https://pulse-3k2.pages.dev/news/a17dd37c5dbe 2026-07-02 monthly 0.7 https://repository-images.githubusercontent.com/921777121/b4fb83a0-5322-47ef-be39-e316db4de9ca Open Reproduction of DeepSeek-R1 Article URL: https://github.com/huggingface/open-r1 Comments URL: https://news.ycombinator.com/item?id=48489917 Points: 217 # Comments: 17 https://pulse-3k2.pages.dev/news/ad392cbde223 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/3d94e1761541 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/15eb0513279a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.10156/gradient.png τ-Rec: A Verifiable Benchmark for Agentic Recommender Systems Abstract A benchmark for agentic recommender systems is introduced that uses verifiable rewards and controlled dialogue constraints to evaluate conversational agent reliability, revealing significant https://pulse-3k2.pages.dev/news/b8261265d5e1 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/88a88362de86 2026-07-02 monthly 0.7 https://curlewis.co.nz/posts/lines-of-code-got-a-better-publicist/hero_hu_8251bd8edd692786.jpg Lines of Code Got a Better Publicist Article URL: https://curlewis.co.nz/posts/lines-of-code-got-a-better-publicist/ Comments URL: https://news.ycombinator.com/item?id=48489402 Points: 202 # Comments: 136 https://pulse-3k2.pages.dev/news/aee5e34d366b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/422637a47f4f 2026-07-02 monthly 0.7 https://platform.theverge.com/wp-content/uploads/sites/2/2026/06/STKB364_CLAUDE_D.jpg?quality=90&amp;strip=all&amp;crop=0%2C10.732984293194%2C100%2C78.534031413613&amp;w=1200 Anthropic apologizes for invisible Claude Fable guardrails https://web.archive.org/web/20260611122253/https://www.theve... , https://archive.ph/y4V4k Comments URL: https://news.ycombinator.com/item?id=48489229 Points: 204 # Comments: 227 https://pulse-3k2.pages.dev/news/c04d4358b2ac 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/780e77c1c5e2 2026-07-02 monthly 0.7 https://preview.redd.it/dxgkcvd94n6h1.jpeg?width=640&amp;crop=smart&amp;auto=webp&amp;s=c9e3b328984acef2e6f439815a9b65b392b99c61 Qwen Who? DiffusionGemma running at 1,500 tk/s on a Digital Pregnancy Test. First Doom, now DiffusionGwmma 4. We are truly living in the future. Who even needs a new Qwen release anymore? /s (Satire - Shaq doesn’t actually make a digital pregnancy test capable of running diff https://pulse-3k2.pages.dev/news/73cdd55c022a 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12364/gradient.png On Subquadratic Architectures: From Applications to Principles Abstract xLSTM demonstrates superior performance in sequence modeling tasks compared to Mamba-2 and Gated DeltaNet due to enhanced state tracking and memory dynamics. Generated by Qwen/Qwen2.5-Coder-3 https://pulse-3k2.pages.dev/news/58357669f5a0 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/ca8ddecbd650 2026-07-02 monthly 0.7 https://external-preview.redd.it/YTVhd213MnZ3bTZoMaDUjCJxRGoiNjjmNeUNS4PT4TOixk0QnM20egcLPiPB.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=916744f26de3d6f79b356fdbdf803a4b20c018d2 How I implemented ASR bias for voice transcription models [Open Source] I've been spending the last couple of weeks building a Wispr Flow clone as an open source project. For context, it is a voice dictation app that lets you type faster, by speaking instead of actually t https://pulse-3k2.pages.dev/news/ba5234a2d11c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11854/gradient.png Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training Abstract ART enables parameter-efficient fine-tuning of frozen multimodal language models by optimizing raw visual input through gradient backpropagation, achieving performance comparable to LoRA whil https://pulse-3k2.pages.dev/news/4589a17333ab 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/80f645891622 2026-07-02 monthly 0.7 https://preview.redd.it/plbydmenmm6h1.png?width=140&amp;height=23&amp;auto=webp&amp;s=5ea145541663231254f92fd815bb1237861fd6cb [P] Extreme Imbalance Data from 100K dataset only have 56 failure [P] as in the title, my goal is to predicting failure and RUL of machine, dataset is timestamp and when machine is failure it will labeled with 1 that only have 56 https://preview.redd.it/plbydmenmm6h1.pn https://pulse-3k2.pages.dev/news/dbd9bc6b746a 2026-07-02 monthly 0.7 https://external-preview.redd.it/hCiR6rrWo7Ijrj75b_ILIgu6YpSjoGhS8c5libMB_ig.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=8317b357bf070c7bf13824c962d1e074af5db109 Refiner: Robotics library from the ex-Hugging Face pre-training team ex-Huggingface pre-training team just announce a new library create for robotics data refinment! It supports ingestion of all robotics formats (Parquet, HDF5, MCAP, Zarr, RLDS, and LeRobot), as well a https://pulse-3k2.pages.dev/news/bb3e87825d67 2026-07-02 monthly 0.7 https://external-preview.redd.it/Fn0rPe6YXakeGSr17YVIPfOgxH96bMW4rUXeEiZ8k24.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=3b063d54d4970ac6aac2f10e3333e8948ed6bc0a Minimax M3 open weights release planned for Friday &#32; submitted by &#32; /u/rmhubbert [link] &#32; [comments] https://pulse-3k2.pages.dev/news/30d890f754fc 2026-07-02 monthly 0.7 https://external-preview.redd.it/ZWRxM3dodDBobTZoMSINg9ElSLgM4EBG1trIsaKb4brpLB5l8orj7QUVM1gD.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=e9e147afc6a161e6bfd17a1e565125b46bcf31bf Infinite Music Glitch on my Arduino with Magenta Realtime 2 I built a local voice AI realtime music setup where my ESP32 microcontroller talks to my MacBook over WebSockets. The microcontroller is just a tiny Arduino-based device with a mic and speaker, and th https://pulse-3k2.pages.dev/news/99e9bb4e14bf 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/2cc1693f5a41 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11119/gradient.png TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning Abstract TRACE is a rollout allocation framework that improves reward contrast in multi-turn agentic reinforcement learning by dynamically distributing resources across tree-structured rollouts based https://pulse-3k2.pages.dev/news/b4d0ba907c31 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2601.05212/gradient.png FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching Abstract FlowLet is a conditional generative framework that synthesizes age-conditioned 3D MRIs using flow matching in an invertible 3D wavelet domain, improving brain age prediction performance for u https://pulse-3k2.pages.dev/news/e7d7ba43d170 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.07943/gradient.png POISE: Position-Aware Undetectable Skill Injection on LLM Agents Abstract POISE is a stealthy skill-poisoning attack that embeds malicious triggers within benign-looking instructions, achieving high attack success rates while avoiding detection by LLM scanners that https://pulse-3k2.pages.dev/news/da4788ee7331 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11817/gradient.png Grammar-Constrained Decoding Can Jailbreak LLMs into Generating Malicious Code Abstract Grammar-constrained decoding techniques used to ensure syntactic validity in code generation can be exploited as an attack surface, leading to the development of a jailbreak method called Cod https://pulse-3k2.pages.dev/news/0d93b418a6c2 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.07881/gradient.png Breaking the Bubble: Asynchronous Pipeline Parallel Training with Bounded Weight Inconsistency Abstract PACI enables efficient asynchronous pipeline training by controlling forward/backward weight inconsistency through local gradient accumulation, achieving higher throughput and faster training https://pulse-3k2.pages.dev/news/d1bba3d5e381 2026-07-02 monthly 0.7 https://external-preview.redd.it/FBxrVDKtTl73AB8Jv4N2CzazDVZ6aKh2Op4rbECOQ-8.jpeg?width=320&amp;crop=smart&amp;auto=webp&amp;s=d73596d79b8c134e3d8ef7fa51c1c5254bd371a2 "How NVIDIA Built Nemotron 3 Open Model" by "Caleb Writes Code" x "Joey Conway" &#32; submitted by &#32; /u/Jeidoz [link] &#32; [comments] https://pulse-3k2.pages.dev/news/6c2c4178cc06 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11990/gradient.png Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation Abstract A lightweight approach combining a frozen pretrained time-series foundation model with a simple regression head achieves superior RUL prediction performance compared to various baseline metho https://pulse-3k2.pages.dev/news/c128e2753d6b 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/46d9149cc345 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/b766f955e0a1 2026-07-02 monthly 0.7 https://substackcdn.com/image/fetch/$s_!eBfS!,w_1200,h_675,c_fill,f_jpg,q_auto:good,fl_progressive:steep,g_auto/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F931ce348-4a6a-44e9-ad78-322dd8421bd7_1286x764.png Why AI hasn't replaced software engineers, and won't Article URL: https://www.normaltech.ai/p/why-ai-hasnt-replaced-software-engineers Comments URL: https://news.ycombinator.com/item?id=48487540 Points: 227 # Comments: 272 https://pulse-3k2.pages.dev/news/fc317a692049 2026-07-02 monthly 0.7 https://daringfireball.net/graphics/df-wide-card.png Sweet Jeebus, macOS 27 Golden Gate Removes the Dumb Icons from Menu Items Article URL: https://daringfireball.net/2026/06/macos_27_golden_gate_removes_the_dumb_icons_from_menu_items Comments URL: https://news.ycombinator.com/item?id=48487435 Points: 204 # Comments: 88 https://pulse-3k2.pages.dev/news/d207910cbb30 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.03437/gradient.png Large Language Models Are Overconfident in Their Own Responses Abstract Instruction tuning degrades calibration in large language models, with chat templates exacerbating overconfidence through ownership bias, which can be mitigated by reframing model responses a https://pulse-3k2.pages.dev/news/845639e48271 2026-07-02 monthly 0.7 https://opengraph.githubassets.com/2a1a55a20cd1506b76a1889d6834f5fcee69e3c6f5160613df5ddafdf11471d3/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.4.6 langchain-core==1.4.6 Changes since langchain-core==1.4.5 release(core): 1.4.6 ( #38061 ) feat(core,partners): add package version tracking to tracing metadata ( #35295 ) fix(core,openai): normalize v1 streamed tool calls https://pulse-3k2.pages.dev/news/205d1f68d88c 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2605.30861/gradient.png Distilling LLM Feedback for Lean Theorem Proving Abstract Feedback Distillation improves post-training of reasoning models by using self-distillation with token-level supervision and privileged feedback from language models, offering better diversit https://pulse-3k2.pages.dev/news/7110defcfc45 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/536f0422115f 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/6ade22131d9f 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.03108/gradient.png EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning Abstract EvoTrainer autonomously evolves both language model policies and training harnesses through empirical feedback, demonstrating superior performance in complex reasoning and coding tasks compar https://pulse-3k2.pages.dev/news/8952ba0247df 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/d85987305500 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/8326b3af0aac 2026-07-02 monthly 0.7 https://preview.redd.it/2o426zap9l6h1.png?width=140&amp;height=105&amp;auto=webp&amp;s=0e86fdd50d94a32646a09f64cf3784261af6ed80 fableExpectations https://preview.redd.it/2o426zap9l6h1.png?width=1080&format=png&auto=webp&s=169e2d511bbf4c4b08a155775d94b0e9f3f931a5 Claude Fable is incredible It one-shotted my usage limits in 1 prompt &#32; submitt https://pulse-3k2.pages.dev/news/c75f719a78ba 2026-07-02 monthly 0.7 https://pulse-3k2.pages.dev/news/34affd32b71b 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.11683/gradient.png Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning Abstract A training-free framework for spatial reasoning from egocentric videos that enables revisiting conclusions through synthesized novel-view videos generated from predicted 3D geometry. Generate https://pulse-3k2.pages.dev/news/aa1abe9ce9d9 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12397/gradient.png Redesign Mixture-of-Experts Routers with Manifold Power Iteration Abstract Researchers propose a novel router redesign for Mixture-of-Experts models that aligns router rows with the principal singular directions of expert matrices using Manifold Power Iteration to i https://pulse-3k2.pages.dev/news/c447895edb4d 2026-07-02 monthly 0.7 https://cdn-thumbnails.huggingface.co/social-thumbnails/papers/2606.12344/gradient.png Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks Abstract A new benchmark and adapter protocol called Claw-SWE-Bench enables fair comparison of diverse coding agents by standardizing evaluation conditions and revealing the importance of adapter desi https://pulse-3k2.pages.dev/news/f3e47acb4975 2026-07-02 monthly 0.7 https://techcrunch.com/wp-content/uploads/2026/06/opendoor.jpg?resize=1200,800 Opendoor&#8217;s India exit is fueling a bigger conversation about AI and outsourcing The decision comes as India emerges as the world’s largest GCC market. https://pulse-3k2.pages.dev/news/ff6f8fd1df7f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Restless bandits with imperfect binary feedback: PCL-indexability analysis and computation arXiv:2606.11192v1 Announce Type: new Abstract: We study restless bandits with binary latent states and imperfect binary feedback, motivated by opportunistic spectrum access with sensing errors. For t https://pulse-3k2.pages.dev/news/3a008dc39476 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png To Intervene or Not: Guiding Inference-time Alignment with Probabilistic Model Blending arXiv:2606.11201v1 Announce Type: cross Abstract: The wide deployment of LLMs has made model alignment necessary to make newly trained models safely and effectively respond to user instructions. Among https://pulse-3k2.pages.dev/news/6b926767e516 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Dual-Stance Evaluation of Sycophancy: The Structure of Agreement and the Limits of Intervention arXiv:2606.11205v1 Announce Type: cross Abstract: Activation steering can shift LLM behaviour, but standard evaluations do not typically test whether a sycophancy-reduction direction also suppresses a https://pulse-3k2.pages.dev/news/e65b24c869af 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Few-Shot Resampling for Scalable Statistically-Sound Data Mining arXiv:2606.11235v1 Announce Type: new Abstract: A key step in knowledge discovery is the evaluation of data mining results. In several applications, including pattern mining, graph analysis, and other https://pulse-3k2.pages.dev/news/0a8663b044dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ProHiFlo: Hierarchical Flow Matching with Functional Guidance for De Novo Protein Generation arXiv:2606.11243v1 Announce Type: cross Abstract: De novo protein generation has transformative potential in therapeutic design, enzyme engineering, and synthetic biology. While diffusion-based and fl https://pulse-3k2.pages.dev/news/eb7c29172f8d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction arXiv:2606.11247v1 Announce Type: new Abstract: Generative models are increasingly used to propose designs, data, and control actions for physical systems, yet many such systems are governed by hard p https://pulse-3k2.pages.dev/news/960c29a8509e 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems arXiv:2606.11251v1 Announce Type: new Abstract: Many multivariate dynamical systems are observed only through trajectories, leaving the mechanisms governing their joint dynamics hidden. Existing appro https://pulse-3k2.pages.dev/news/6cb0a4dd4bdd 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bernstein-Schur Kernels: Random Features by Sketched Modulation and Radial Randomization arXiv:2606.11255v1 Announce Type: new Abstract: Bernstein--Schur kernels are products of a finite-feature kernel (one with an explicit finite-dimensional feature map) and a completely monotone shift-i https://pulse-3k2.pages.dev/news/e6b19bec25d8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components arXiv:2606.11258v1 Announce Type: new Abstract: Gradient-based inversion of reaction-diffusion systems is typically approached via surrogate models or physics-informed neural networks (PINNs), while t https://pulse-3k2.pages.dev/news/1165d2ec2113 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png PermDoRA -- Understanding Adapter Interference in Language Models: Limits of Parameter-Space Geometry arXiv:2606.11262v1 Announce Type: new Abstract: Access control in large language models (LLMs) requires modular mechanisms to enable domain-specific behavior without retraining or cross-domain interfe https://pulse-3k2.pages.dev/news/6c5a3ebf27c5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models arXiv:2606.11266v1 Announce Type: new Abstract: The cost signal that constrained-RL algorithms optimize against is almost always reactive: the simulator emits a non-zero cost only after a collision ha https://pulse-3k2.pages.dev/news/1e51ca7fe5d0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A prior-free blind detection of information leakage from model predictions arXiv:2606.11267v1 Announce Type: new Abstract: Data leakage -- contamination of a model with information unavailable at baseline -- is the dominant reproducibility failure in machine-learning-based s https://pulse-3k2.pages.dev/news/c96c45a2d8b0 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data arXiv:2606.11268v1 Announce Type: new Abstract: Understanding and forecasting lake dynamics is critical for monitoring water quality and ecosystem health across lakes and reservoirs. While machine lea https://pulse-3k2.pages.dev/news/4c56550d65f3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Quantifying Subliminal Behavioral Transfer Ratios in Language Model Distillation arXiv:2606.11270v1 Announce Type: cross Abstract: Distillation of a language model intended to transfer benign behavior to a student model may also transfer undesirable characteristics, if they are pr https://pulse-3k2.pages.dev/news/fabd4ee168fe 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data arXiv:2606.11272v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative and privacy-preserving model training across distributed clients, but most existing FL systems implicitly https://pulse-3k2.pages.dev/news/2761a2227b3d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RoVE: Rotary Value Embeddings Attention for Relative Position-dependent Value Pathways arXiv:2606.11275v1 Announce Type: new Abstract: Rotary Position Embeddings (RoPE) make attention scores position-relative but leave the value pathway position-blind: the message sent by a value token https://pulse-3k2.pages.dev/news/5b47ea3e98bc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Least-Action-Guided Diffusion for Physical Extrapolation arXiv:2606.11277v1 Announce Type: new Abstract: Reliable extrapolation remains a central challenge for generative models in computational physics, because models trained over finite ranges of time, pa https://pulse-3k2.pages.dev/news/c754d74a98ca 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FreeBridge: Variational Schr\"odinger Bridges for Cellular Transition Dynamics arXiv:2606.11286v1 Announce Type: new Abstract: High-content imaging assays quantify cellular responses to chemical and genetic perturbations, yet continuous trajectories of individual cells are unobs https://pulse-3k2.pages.dev/news/51f91e6fd2b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png FlowBank: Query-Adaptive Agentic Workflows Optimization through Precompute-and-Reuse arXiv:2606.11290v1 Announce Type: cross Abstract: Large Language Model (LLM)-based multi-agent systems are increasingly powerful, but current agentic workflow optimization paradigms make an unsatisfyi https://pulse-3k2.pages.dev/news/bafd6d47fca7 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Learning from almost nothing: How neural networks survive heavy input corruption arXiv:2606.11319v1 Announce Type: new Abstract: Learning from imperfect data is a central theme in machine learning, connecting practical questions of robustness to fundamental questions of learnabili https://pulse-3k2.pages.dev/news/43f777e4a751 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Energy-Conserved Neural Pipelines: Attenuating Error Propagation in Modular Neural Networks via Physical Conservation Constraints arXiv:2606.11341v1 Announce Type: new Abstract: Modular neural network pipelines suffer from error compounding: noise at any module boundary propagates and potentially amplifies through subsequent mod https://pulse-3k2.pages.dev/news/7f4cf9f664a4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SwiftCTS: Fast Cross-Design Prediction and Pareto Optimization of Clock Tree Metrics via Few-Shot Calibration arXiv:2606.11348v1 Announce Type: new Abstract: Clock Tree Synthesis (CTS) is a computationally expensive stage in the physical design flow, requiring iterative EDA tool invocations to navigate a vast https://pulse-3k2.pages.dev/news/8a89aacc6ba8 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GLACIER: A Multimodal Student-Teacher Foundation Model for Molecular Property Prediction arXiv:2606.11382v1 Announce Type: new Abstract: Deep learning models facilitate the discovery of molecules with tailored properties among billions of candidate compounds. However, the computational bu https://pulse-3k2.pages.dev/news/eb87f8fedace 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories arXiv:2606.11391v1 Announce Type: new Abstract: Tensor Product Representations provide the structural fidelity required for symbolic reasoning in models but suffer from exponential dimensionality grow https://pulse-3k2.pages.dev/news/65b085537569 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models arXiv:2606.11409v1 Announce Type: new Abstract: Adversarial robustness evaluations of large language models (LLMs) typically report attack success rate (ASR) under fixed query budgets, implicitly trea https://pulse-3k2.pages.dev/news/93133511af00 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Signed Compression Progress on a Sealed Audit is Goodhart-Resistant arXiv:2606.11417v1 Announce Type: new Abstract: Compression progress is a long-standing proposal for intrinsic motivation: reward an agent when its world model becomes better at predicting or compress https://pulse-3k2.pages.dev/news/6cdf22b24111 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity arXiv:2606.11431v1 Announce Type: new Abstract: Mirror Descent (MD) extends Gradient Descent (GD) beyond Euclidean geometry and has recently reappeared as a lens for KL-regularized policy optimization https://pulse-3k2.pages.dev/news/47deeeba0f3a 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png LSTM-Based Detection of Structural Breaks in Property Insurance Loss Reserving: A Climate-Informed Approach arXiv:2606.11463v1 Announce Type: new Abstract: Accurate loss reserving is foundational to insurer solvency, yet accelerating climate driven catastrophes systematically violate the stability assumptio https://pulse-3k2.pages.dev/news/35aab59f7de6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching arXiv:2606.11473v1 Announce Type: new Abstract: Prior-fitted networks (PFNs) are a promising class of tabular foundation models that perform in-context learning, whereby the entire labelled training s https://pulse-3k2.pages.dev/news/5d5fd7674452 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Mahalanobis-Guided Latent OOD Detection for Hybrid ES-DRL Control in Time-Varying Systems arXiv:2606.11474v1 Announce Type: new Abstract: In this paper, we study Mahalanobis-guided latent out-of-distribution (OOD) detection for test-time RL controller switching in nonlinear time-varying sy https://pulse-3k2.pages.dev/news/d49487c4cf95 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Accurate and Resource-Efficient Federated Continual Learning arXiv:2606.11480v1 Announce Type: new Abstract: Federated continual learning (FCL) must learn from distributed task streams under limited resources, such as communication, computation, memory, and lab https://pulse-3k2.pages.dev/news/4a32fde2ef91 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png OmniLoc: A Geometry-Aware Foundation Model for Anchor-Free UE Localization Across Diverse Indoor Environments arXiv:2606.11490v1 Announce Type: new Abstract: Indoor localization from wireless measurements remains challenging in large-scale deployments due to substantial variation in building geometry, the set https://pulse-3k2.pages.dev/news/9d2daf73c649 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Probabilistic Contrastive Pretraining for Multi-task ADME Property Prediction arXiv:2606.11508v1 Announce Type: new Abstract: Accurate prediction of absorption, distribution, metabolism, and excretion (ADME) properties is critical to drug discovery, but remains challenging beca https://pulse-3k2.pages.dev/news/6dbed8f34d4c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png SirenFNO: Efficient and Full Frequency Learning of Fourier Neural Operators arXiv:2606.11518v1 Announce Type: new Abstract: Fourier neural operators (FNOs) are effective and efficient surrogates for approximating solutions of PDEs and generalize across discretizations. Howeve https://pulse-3k2.pages.dev/news/0bd13ef11e6b 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Counterexample Guided Learning in the Large using Reasoning Agents arXiv:2606.11521v1 Announce Type: new Abstract: LLMs and LLM agents should improve when given feedback, but identifying when they are able to do so is difficult: feedback is heterogeneous, domain-spec https://pulse-3k2.pages.dev/news/67db60a5473d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations arXiv:2606.11553v1 Announce Type: new Abstract: Generic time-series foundation models transfer poorly to wireless network telemetry whose signals are bursty, zero-inflated, and coupled across protocol https://pulse-3k2.pages.dev/news/f38f1e1a46fc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs arXiv:2606.11562v1 Announce Type: cross Abstract: Graph analysis underlies many applications whose answers cannot be looked up in a single record or retrieved along a path: laundering rings, drug repu https://pulse-3k2.pages.dev/news/e65ee0615735 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows arXiv:2606.11574v1 Announce Type: new Abstract: In many materials and product design problems, desirable candidates exhibit properties that fall within an acceptable range rather than achieve a single https://pulse-3k2.pages.dev/news/495c4d0c87e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching arXiv:2606.11583v1 Announce Type: new Abstract: Text-attributed graphs (TAGs) underlie real-world applications such as citation networks, social media, and e-commerce. Few-shot graph learning on TAGs https://pulse-3k2.pages.dev/news/24a3e81323e4 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Kuramoto Attention: Synchronizing Self-Attention on the Torus arXiv:2606.11585v1 Announce Type: new Abstract: We introduce Kuramoto attention, a self-attention layer in which each hidden coordinate is an angle. The layer scores tokens by gated cosine similarity, https://pulse-3k2.pages.dev/news/7b2d9709c748 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling arXiv:2606.11605v1 Announce Type: new Abstract: Predicting process-property relationships in manufacturing is often challenged by high experimental costs and the limited interpretability of complex 'b https://pulse-3k2.pages.dev/news/56048550ab07 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Information-Theoretic Decomposition for Multimodal Interaction Learning arXiv:2606.11614v1 Announce Type: new Abstract: Multimodal learning hinges on capturing redundant, unique, and synergistic information across modalities, which collectively constitute multimodal inter https://pulse-3k2.pages.dev/news/5dc405143c6f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors arXiv:2606.11616v1 Announce Type: new Abstract: High-quality training data is essential for the success of machine learning models. However, real-world datasets often contain mixed types of errors ari https://pulse-3k2.pages.dev/news/b0e1909eac93 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TimeRouter: Efficient and Adaptive Routing of Time-Series Foundation Models arXiv:2606.11625v1 Announce Type: new Abstract: Time-series foundation models (TSFMs) are increasingly explored as predictive experts within emerging agentic time-series systems. However, TSFMs exhibi https://pulse-3k2.pages.dev/news/529ee0ddebed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png When Context Returns: Toward Robust Internalization in On-Policy Distillation arXiv:2606.11627v1 Announce Type: new Abstract: Recent work has shown that on-policy distillation can internalize privileged context, such as system prompts or task hints, into a student model so that https://pulse-3k2.pages.dev/news/6a5e309eccf3 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning arXiv:2606.11640v1 Announce Type: new Abstract: Few-shot tabular learning provides a cost-effective approach for real-world applications where annotation is costly and collecting sufficient samples fo https://pulse-3k2.pages.dev/news/4c9d519645f6 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Tree-Structured Orthonormal Decomposition of the Aitchison Simplex arXiv:2606.11646v1 Announce Type: new Abstract: Compositional data -- vectors encoding relative proportions -- arise across scientific domains, including ecology, geochemistry, and genomics. The featu https://pulse-3k2.pages.dev/news/81e05c01b7dc 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification arXiv:2606.11650v1 Announce Type: new Abstract: Recent advances in scientific machine learning provide a means of near-real-time solution to partial differential equations (PDEs), but lack the theoret https://pulse-3k2.pages.dev/news/99170d28df81 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics arXiv:2606.11651v1 Announce Type: new Abstract: Synthetic random heteropolymers (RHPs), consisting of a predefined set of monomers, offer an approach toward the design of protein-like materials. These https://pulse-3k2.pages.dev/news/ef132a06a025 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents arXiv:2606.11652v1 Announce Type: new Abstract: This paper investigates reinforcement learning (RL) methods for improving tool-calling capabilities in multimodal small language model (SLM) agents. Whi https://pulse-3k2.pages.dev/news/feba03ce67ee 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics arXiv:2606.11657v1 Announce Type: new Abstract: Generative AI emulators are increasingly used in scientific domains where we already have strong theory, benchmarks, and physical intuition. This raises https://pulse-3k2.pages.dev/news/481d3a2e11b9 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Bergson: An Open Source Library for Data Attribution arXiv:2606.11660v1 Announce Type: new Abstract: Data attribution is a promising field in interpretability that aims to explain model behavior through the influence of its training data, with applicati https://pulse-3k2.pages.dev/news/a08208d9789c 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Spectrally Regularized Latent Flow Matching for Turbulence Generation arXiv:2606.11691v1 Announce Type: new Abstract: Latent diffusion and flow matching have emerged as leading approaches for synthetic turbulence generation, yet they systematically under-represent dissi https://pulse-3k2.pages.dev/news/b665c5d5e01d 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Noise-Aware Framework for Correcting Corrupted Labels arXiv:2606.11695v1 Announce Type: new Abstract: High-quality labeled data is essential for training reliable ML/DL models. However, real-world datasets often contain a considerable proportion of corru https://pulse-3k2.pages.dev/news/6c9c9d259357 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png A Data-Centric Framework for Detecting and Correcting Corrupted Labels arXiv:2606.11699v1 Announce Type: new Abstract: The performance of machine learning and deep learning models largely depends on the quality of the training data. However, the quality of the real-world https://pulse-3k2.pages.dev/news/1d9b1c1b6e18 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation arXiv:2606.11709v1 Announce Type: new Abstract: On-policy self-distillation (OPSD) provides dense, token-level supervision for reasoning models by aligning a model's own distribution with the distribu https://pulse-3k2.pages.dev/news/20e7f421076f 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Capacity-Constrained Online Convex Optimization with Delayed Feedback arXiv:2606.11711v1 Announce Type: new Abstract: Online learning with delayed feedback typically assumes that the learner can track all pending rounds until their feedback arrives. In practice, trackin https://pulse-3k2.pages.dev/news/8171c04002b5 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png ICA Lens: Interpreting Language Models Without Training Another Dictionary arXiv:2606.11722v1 Announce Type: new Abstract: Finding interpretable directions in language-model representations is critical for understanding and controlling model behavior. Sparse autoencoders (SA https://pulse-3k2.pages.dev/news/ab7c0bdd27ed 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning arXiv:2606.11761v1 Announce Type: new Abstract: Dynamic data pruning techniques aim to reduce computational cost while minimizing information loss by periodically selecting representative subsets of i https://pulse-3k2.pages.dev/news/9a48ddc39f59 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png AI4Land: Scalable Deep Learning for Global High-Resolution Land Use Reconstruction arXiv:2606.11793v1 Announce Type: new Abstract: Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly driven by the uncertainties affecting the land sur https://pulse-3k2.pages.dev/news/72808ffb0380 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data arXiv:2606.11794v1 Announce Type: new Abstract: Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for assessing disease severity, yet current clinical sta https://pulse-3k2.pages.dev/news/ff65fbcd7b26 2026-07-02 monthly 0.7 https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning arXiv:2606.11797v1 Announce Type: new Abstract: Studies on rodents such as mice have shown the capabilities to adapt their behavior when dealing with changing parameters (``drift'') of the environment https://pulse-3k2.pages.dev/news/tag/rag 2026-07-02 daily 0.5 https://pulse-3k2.pages.dev/news/tag/rag/feed.rss 2026-07-02 daily 0.3 https://pulse-3k2.pages.dev/news/tag/gpu 2026-07-02 daily 0.5 https://pulse-3k2.pages.dev/news/tag/gpu/feed.rss 2026-07-02 daily 0.3 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