Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility

ArXi:2509.24702v2 Announce Type: replace Diffusion models can generate realistic videos, but existing methods rely on implicitly learning physical reasoning from large-scale text-video datasets, which is costly, difficult to scale, and still prone to producing implausible motions that violate fundamental physical laws. We