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It is proved that an unbounded gap between the update maps can coexist with vanishing predictive KL for every fixed finite $K\ge2$ in a stationary symmetric Gaussian HMM, and isolates two missing links between internal update gaps and predictive cost.
PhyLatent slashes failure rates in JEPA world models while boosting predictive control success from 70% to 78%鈥攁nd even up to 98% in complex environments.
SR-JEPA reveals that a predictive pathway can infer missing entity representations in 3D scenes with remarkable accuracy, transforming how we approach latent state learning.
