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A Heckler in the Hidden State: Correctness Signals in Diffusion Language Models
Diffusion language models generate code by repeatedly updating a partially masked sequence. We ask whether their internal activations encode code correctness and whether that information can improve generation. Across six diffusion models, linear probes distinguish passing from failing attempts, wit
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