Projecting DiffusionGemma distributions to the top item maintains performance, countering fears that its diffusion steps create opaque serial depth. This finding strengthens previous research by Engels et al. regarding model transparency. It suggests that latent reasoning in diffusion-based text generation remains interpretable. Practitioners can now better monitor internal states during the sampling process.