arXiv: cs.AI preprintsInternational5 November 2026
FrontierPhysics: Evaluating Agents for End-to-End Physics Research
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arXiv:2611.06910v1 Announce Type: new Abstract: AI agents are playing an increasingly important role in physics research. However, existing physics benchmarks only evaluate fixed questions, isolated sub-tasks, or paper reproduction with given solutions, and rarely check research quality alongside correctness. We introduce FrontierPhysics, an end-to-end benchmark with 56 tasks made by 42 physicists based on their own research, covering nine domains across theoretical, computational, and experimental physics. Each task requires agents to review the literature, develop a research plan, conduct re
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