Newest papers

Governance-State Corruption in Long-Term Memory for LLM Agents: A Cross-Model Stress Test

Bowen Liu, Youting Wang, Bonan Shen, Dingyan Shang · 2026 · arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.30698 · cited by 0 works (OpenAlex) · open-access PDF

Chinese

一个LLM代理人可以正确地检索记忆,但在其有效性状态发生变化后不正确地使用它。我们研究治理状态腐败:这些错误会改变保留的记录进入模型可见的背景,而存储的内容和任务仍然是固定的。在六个提供商中,731个基准基于基准的数据库产生了2080个匹配的错误对。在离线控制计划检查中,腐败改变了96.25%的对的操作预测,而Oracle支持的执法将其恢复到100%。对于下游评估,一个确定性选择的,非概率MemEval/Memora板产生了280个匹配的三重组件(238个不同的基地)。

Machine translation (Meta M2M100); the English original follows.

Abstract

An LLM agent can retrieve a memory correctly yet use it incorrectly after its validity state changes. We study governance-state corruption: faults that alter which retained records enter model-visible context while stored content and tasks remain fixed. Across six providers, 731 benchmark-grounded bases yield 2,080 matched fault pairs. In offline control-plane checks, corruption changes the operative projection in 96.25% of pairs, while oracle-backed enforcement restores it in 100%. For downstream evaluation, a deterministically selected, non-probability LongMemEval/Memora panel resolves 298 of 300 matched triplets (238 distinct bases). Clean-minus-corrupted contrasts are 40.54 percentage points in LongMemEval binary correctness (95% base-cluster interval [30.32, 50.71]) and 30.60 points in rescaled Memora FAMA ([23.31, 37.69]); both sources also show recovery. OAKS Novel native option parity holds for all 6,714 resolved outputs. Full-cohort frozen-scorer corruption/recovery effects (-27.55/+27.51 points) remain descriptive proxies, not validated native semantic population effects. These bounded findings motivate evaluating memory control-state integrity alongside retrieval accuracy.

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Topics: Correctness, Population, Computer science, Context (archaeology), Econometrics, Psychology

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange