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Introduces Visual Attribution Distillation (VAD), a counterfactual target-reconstruction method for multimodal on-policy distillation that estimates the visually-attributable part of teacher corrections. Outperforms existing approaches across fine-grained visual benchmarks at 4B and 9B scales.