AI RESEARCH

Recall Isn't Enough: Bounding Commitments in Personalized Language Systems

arXiv CS.CL

ArXi:2605.16712v1 Announce Type: cross Long-context and memory systems usually treat personalization as a recall problem. In practice, many failures occur later, when a system commits: it turns noisy hints into hard constraints, drops rare witnesses, forgets downstream obligations, or answers despite infeasibility. We