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Semantic similarity is the wrong objective for faithful attribution: lightweight agents that explicitly verify claim-evidence logic outperform frontier LLMs at academic citation.
Current multimodal large language models struggle with dynamic stance understanding, particularly when relational inference is required, revealing critical gaps in their reasoning capabilities.
