arXiv (All)
open access
When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents
Persistent memory helps LLM agents carry information across long interactions, but correct memory can still be used incorrectly when queries change or memory states evolve. Existing work mainly studies memory content errors or evaluates fixed test cases, leaving memory-use failures hard to discover
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents#1161009
- Zeta-Lite: A Concurrent, Branchable In-Browser SQL Database for Agentic Memory#632915
- rTMS to Enhance Cognitive Performance and Promote Resilience#811910
- AgentDrift: A Step-Labeled Benchmark of Injection-Hijacked LLM Agent Trajectories#975045
- The Effect of Repetitive Transcranial Magnetic Stimulation on Cognitive Improvement in Dementia With Lewy Bodies#913006
Record · ID 1142876
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive