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arXiv — cs.AI preprintsInternational19 October 2026

From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents

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arXiv:2610.22668v1 Announce Type: new Abstract: Long-term memory enables LLM agents to reuse past experiences, yet retrieving relevant memories does not necessarily provide sufficient evidence for answering a query. Essential information may remain fragmented across memory records, obscured by abstraction, or disconnected from the relations required for reasoning. We identify this relevance-sufficiency gap and propose QEMem, a framework that reformulates memory utilization as the construction of query-specific evidence sets, shifting the focus from individual retrieval relevance to collective
— arXiv — cs.AI preprints

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