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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.
MLLMs can recognize urban scenes but fail to maintain reliable navigation and goal-directed behavior over extended exploration in complex environments.
