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Generative world models silently drop evidence and hallucinate physics when faced with conflicting real-world data, but orchestrating them via probe rollouts and constraint-injected auditing recovers physically faithful re-enactments with over 90% evidence coverage.
Bypassing retraining, OSR achieves competitive classification performance while significantly improving computational efficiency and privacy preservation.
