arXiv: cs.AI preprintsInternational11 November 2026
The Value of Memory in Language Agents
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arXiv:2610.31303v4 Announce Type: replace Abstract: Language agents carry information from past experience into future tasks whose demands may be unknown or change over time. We develop a decision-theoretic account of the capability available in history, retained in storage and realized through use, together with the costs of recovery and revision. Drawing on comparison of statistical experiments, information acquisition and the value of computation, we express these values in units of avoided task loss. Recovery and revision define attainable risk-cost profiles and preservation across uses. A
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