DerivAudit : des chercheurs proposent d’auditer si la mémoire d’un agent découle de son historique

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.