Enhancing Multimodal RLVR with Pairwise Token Contrast and Adaptive Trajectory Confidence

Reinforcement learning with verifiable rewards (RLVR) improves multimodal reasoning, but group-relative policy optimization broadcasts a single sequence-level advantage to every token of a response, although errors usually localize to a few decisive steps. Recent self-distilled variants refine credi