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Relevance Is Not Sufficiency: What Actually Closes the Evidence Gap in Long-Term Memory QA
LLM agents that interact with a user across many sessions accumulate histories that exceed their context window, so they store past interactions in an external memory and answer each question from a small set of retrieved records. Existing memory systems rank records by lexical or embedding relevance, yet the top-ranke …