AI RESEARCH
STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
arXiv CS.CL
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ArXi:2605.06527v1 Announce Type: new Large Language Model (LLM) agents are increasingly expected to maintain coherent, long-term personalized memory, yet current benchmarks primarily measure static fact retrieval, overlooking the ability to revise d beliefs when new evidence emerges. We identify a critical and underexplored failure mode, Implicit Conflict: a later observation invalidates an earlier memory without explicit negation, requiring contextual inference and commonsense reasoning to detect. To rigorously evaluate this capability, we.