AI RESEARCH
Recall Isn't Enough: Bounding Commitments in Personalized Language Systems
arXiv CS.CL
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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