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Video generative priors only translate into robust physical control when paired with explicit world-to-action information routing and synchronized joint denoising rather than standard monolithic fine-tuning.
TabPFN slashes negative log-likelihood by up to 62% and drastically improves calibration in multimodal classification without requiring any training.
