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This paper studies the mismatch between sequence locality and attention-graph reachability in fixed block-sparse causal attention, formalizing boundary artifacts and proposing diagnostic coverage functions and a minimal repair called Boundary Bridge Attention.
This paper introduces FFDC, a lightweight verifier for World Action Models that enables adaptive action chunk sizes by checking consistency between predicted and actual observations, improving efficiency and robustness in robotic manipulation.