Identifying the Latent Evidence-Credit Gap in Visual Reasoning

Latent visual reasoning in MLLMs suffers from a gap where latent tokens respond weakly to image perturbations that change the final answer. This suggests that standard GRPO training with final-answer rewards provides insufficient guidance for supervising latent-token behavior.