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Memory Is a Derivation: The Distributed-Evidence Paradox in Long-Term Agents
Long-running LLM agents compress past interactions into persistent memories that may be reused as premises for later tasks. This creates a distinct derivation problem: whether the memory actually follows from what the interaction history supports. Relevant evidence may be scattered across earlier in
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