Projecting the distribution to its top item maintains performance in DiffusionGemma, according to new research. This finding suggests the model's opaque serial depth does not inherently block oversight. While Google DeepMind's diffusion-based text generation involves complex vector steps, these results simplify the process of monitoring internal reasoning. Practitioners can now trust simpler sampling methods.