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Preprint Oct 2026

Can World and Action Modeling Benefit Each Other under Unified Causal Training?

World and action modeling are closely related, yet their reciprocal benefits under unified causal training remain unclear. We introduce OneWM, a simple framework for unified causal training that treats actions as both conditions for world prediction and targets for policy learning within a shared video-action architect...

Yue Su, Bo-Kai Lin, Xin-Kai Wang et al. · 1 citation · ⚡1

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