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Nemotron 3 Ultra pipeline achieves IMO Gold with open-weight release

NVIDIA has released an open-source framework that enables its Nemotron 3 Ultra model to solve Olympiad-level mathematics problems at a gold-medal standard. The system utilizes a test-time compute pipeline that iteratively generates, verifies, and refines natural-language proofs without relying on formal provers or external tools.

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Key points

  • Nemotron 3 Ultra pipeline scored 30/42 at IMO 2026, meeting the gold-medal threshold.
  • System uses iterative natural-language proof generation, verification, and refinement without formal tools.
  • NVIDIA released two specialist checkpoints, training data, code, and a new 200-problem benchmark.

The approach involves training two specialist checkpoints from the base Nemotron 3 Ultra model using supervised fine-tuning and reinforcement learning. By combining these specialists with the general-availability model in an iterative search process, the system achieved a score of 30 out of 42 points at the International Mathematical Olympiad (IMO) 2026, surpassing the threshold for a gold medal.

To support further research, the team has released the post-trained checkpoints, training data, inference code, and submitted solutions. They also introduced Nemotron-IMO-Bench, a new benchmark consisting of 200 novel olympiad-level problems, providing the community with resources to evaluate and improve mathematical reasoning capabilities in large language models.

Read the original at arXiv cs.AI · by Ivan Moshkov, Stephen Ge, George Armstrong, Wei Du, Sadegh Mahdavi, Igor Gitman primary source Open source ↗
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