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Learning Where Outcomes Change:Credit-Addressable Reasoning for Multimodal Geometry
Multimodal geometry reasoning requires VLMs to extract precise visual relations and preserve them through multi-step deduction. Existing free-form traces obscure the decisions that determine the answer, and trajectory-level reinforcement learning distributes a single terminal signal across the entir
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