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The paper introduces GTBench, a curriculum-grounded benchmark for evaluating LLMs as mathematical research assistants in graph theory, containing 63 problems across three difficulty levels. It evaluates five frontier models and finds that performance degrades with difficulty, with GPT-5 achieving near-perfect results on basic problems but only 82% on graduate-level proofs.