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Paper · arXiv

Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking

Persistent memory makes false information durable: once a false statement is stored, it can be retrieved into future sessions that match it. We measure the cost of this failure mode using plainly worded false assertions generated in a single pass, with no instruction, trigger, or retriever optimization. Poisoning 1.2% of a LongMemEval corpus reduces accuracy from 0.850 to 0.300. A four-stage write-time screening pipeline that reaches 0.832 recall on indirect prompt injection while flagging 1.5% of trigger-word-laden benign text rejects 0 of 360 poisoned memories. We argue this exposes a boundary of content-only screening: distinguishing a false assertion from a true one generally requires...

AuthorsArulnidhi Karunanidhi
Primary categorycs.CR
Published21 August 2026
Last updated at source21 August 2026
cs.CRcs.AI
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