Unverified50% confidenceCautionExact time
If state transitions are coupled, the theoretical guarantees of sequential optimization no longer hold directly.
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Long-term
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11/4/2026
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UnverifiedThe paper's core theoretical contribution is a perturbation result: if the equilibrium selection is stable and the Gaussian transition model has uniform accuracy in the KL divergence sense, the induced value function will converge uniformly to the true value on the specified region, and the strategies approach approximately Nash behavior.70% similarUnverifiedBatch inference requires the output structure to be strictly aligned with the input order, and the model must not reduce its discriminative power for individual items as the context grows longer.70% similarUnverifiedTraditional alignment methods for discrete diffusion models assume that inference is unidirectional—once a token is sampled and determined it is not reconsidered—lacking a mechanism for the model to revisit already-determined choices.68% similarUnverified自回归模型采用从左到右的顺序生成，推理阶段必须串行执行，无法并行68% similarUnverifiedState drift refers to the phenomenon in which the model gradually deviates from the correct state over multi-step execution; constrained decoding guarantees that each step's output format is legal, but cannot guarantee semantic correctness.67% similar
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