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Semantic Affine Consistency transforms how visual tokenizers align latent semantics, resulting in a 26% reduction in gFID and setting a new benchmark for diffusion models.
VLA models are surprisingly susceptible to a single adversarial patch that hijacks their visual self-localization, creating a "phantom embodiment" that completely derails their control policy across different architectures and domains.
