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VideoLMs can significantly enhance their temporal understanding by leveraging a counterfactual approach that reveals hidden dynamics in video data.
The fragmented field of world modeling can now be unified under a "levels x laws" taxonomy, revealing critical gaps in autonomous model revision and decision-centric evaluation.
