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Severity scores are meaningless without spatial grounding: gating RL rewards on strictly ordered localization and classification dependencies forces MLLMs to diagnose visual degradation rather than hallucinate holistic quality metrics.
PathRouter reduces reliance on shortcuts in reinforcement learning, leading to more reliable and contextually rich decision-making in language-model agents.