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Continuous diffusion fails at discrete reasoning primarily because standard reverse samplers stubbornly anchor to early mistakes: simply jumping directly to clean predictions spikes Sudoku validity from 31% to 95% with zero retraining.
An anytime solver that achieves 99.90% accuracy on Sudoku-Extreme by leveraging persistent hidden states and maximum corruption during inference upends traditional reasoning models.
