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#machine learning Preprint Sep 2026

Measuring the Value of World-Model Updates: A Counterfactual Utility Protocol for Continual Adaptation

The fork ledger is introduced, which branches a deployment stream at pre-registered decision points into matched update and hold continuations under common random numbers, allowing triggers to be judged by the updates they select rather than by surprise detection alone.

An-Qi Li, Kaden Kim · 0 citations

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