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Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

arXiv · AI, language, vision and robotics · article · Aug 30, 2026 · UTC

Memory operations of long-horizon LLM agents are hard to supervise: an operation's value is unobservable when it is taken. But they are special -- they leave machine-readable evidence in the trajectory: retrieval hits and answer-time citations. Hindsight Memory-PRM exploits this audit trail twice: offline to train an operation-conditioned memory-utility critic, and online, where retrievals, citations, and one controlled deletion-and-reanswer per probe settle an intervention-calibrated entry-level presence credit, propagated along version chains as an action-level proxy reward -- no per-operati

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Evidence & attribution

First collected: 2026-09-21T07:31:56.984Z. This is not the publication date.