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Sci-MMR is introduced, a benchmark for multi-step evidence-grounded scientific reasoning built on structured argument graphs linking scientific claims, citation-grounded knowledge, visual evidence, and supporting regions, and it is found that current answer-centric benchmarks substantially overestimate the evidence-grounded reasoning capabilities of multimodal research agents.
By computing the *difference* between attention maps, DCAU-Net achieves state-of-the-art medical image segmentation while dramatically reducing computational cost compared to standard self-attention.
