Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory 事件

Rashomon Memory: Towards Argumentation-Driven Retrieval for Multi-Perspective Agent Memory arXiv:2604.03588v3 Announce Type: replace Abstract: AI agents operating over extended time horizons accumulate experiences that serve multiple concurrent goals, and must often maintain conflicting interpretations of the same events. A concession during a client negotiation encodes as a ``trust-building investment'' for one strategic goal and a ``contractual liability'' for another. Current memory architec