Our paper has been accepted to #
ICML2026# as a Spotlight (top 2.2%) ๐ฅณ
We present MOTIVE, a scalable, motion-centric data-attribution framework for video generation that identifies which training clips improve or degrade temporal dynamics, enabling curation and more.