arXiv — NLP / Computation & Language · · 4 min read

When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memory

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Computer Science > Information Retrieval

arXiv:2608.25553 (cs)
[Submitted on 26 Aug 2026]

Title:When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memory

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Abstract:An agent that inherits a consolidated memory may inherit a constraint that was true when written and has since been withdrawn by a newer authoritative record. Under a scarce verification budget, does the agent recover the withdrawal, and if not, is the error avoidable without spending more? We model supersession explicitly -- historical provenance is immutable; what changes is which record is current -- and assign by design the memory's form, the world's state (source current or superseded), and the verification policy at a fixed budget of two records: the agent's own allocation, or the same budget with one slot re-assigned to the critical provenance path or to a random record. With a constraint stated, agents inspected its provenance path in about one episode in five; when that constraint had been superseded, native allocation produced stale-consistent decisions in 77.3%, 74.7% and 74.7% of episodes across a primary run, a fresh-wording replication and a held-out domain. Re-assigning one slot to the critical path raised current-record-consistent decisions by +74.0, +72.7 and +61.3 points, positive in six of six models in each of those runs, and changed nothing when the record agreed with the memory. The held-out scenario was later found to contain a temporal inconsistency; a robustness replication with one sentence corrected, deposited externally before execution, gave +73.3 points and is reported alongside the original. The intervention uses knowledge of the critical path and is not a scheduler; it identifies that the share of stale-memory error attributable to verification allocation is close to its structural ceiling. Memory systems may need freshness or supersession signals separate from relevance.
Comments: 18 pages, 3 figures, 7 tables. Manuscript, LaTeX source, all 5,400 episode files, frozen specifications, timestamp proofs, analysis and generator scripts are archived at Zenodo: doi:https://doi.org/10.5281/zenodo.22108558
Subjects: Information Retrieval (cs.IR); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
Cite as: arXiv:2608.25553 [cs.IR]
  (or arXiv:2608.25553v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2608.25553
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Kazuki Nakayashiki [view email]
[v1] Wed, 26 Aug 2026 09:04:21 UTC (29 KB)
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