نسخة أولية وصول مفتوح
LPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models
Counterfactual world models (CWM) extract motion from pretrained video predictors by comparing factual and intervened predictions, but uniform aggregation weights responses equally without explicitly incorporating physical priors. Our key insight is to incorporate physical priors into candidate reliability learning, mo …