Why Deterministic PRM Guidance Underperforms in Discrete Diffusion Reasoning.

arXiv:2609.35472v1 Announce Type: new Abstract: Discrete diffusion language models (dLLMs) expose a denoised solution at every step, which makes process reward model (PRM) guidance look like a way to spend compute at test time. We show that once denoising, PRM