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This paper presents HumRightsBench, the first expert-validated, scenario-based benchmark for evaluating large language models' legal reasoning about international human rights law. Pilot results on frontier models show overall accuracy between 0.339 and 0.577, highlighting notable gaps in detecting obligation violations.