--- title: "Who cites Leveraging Online — 10 citing papers" description: "10 papers of the Elamur Research library cite «Leveraging Online Olympiad-Level Math Problems for LLMs Training and…" canonical: "https://research.elamur.ai/free/en/papers/mahdavi-2025-leveraging-online-olympiad-level-math/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mahdavi-2025-leveraging-online-olympiad-level-math/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Leveraging Online Olympiad-Level Math Problems…](https://md.research.elamur.ai/free/en/papers/mahdavi-2025-leveraging-online-olympiad-level-math/) / cited by # Who cites «Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation» 10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation»](https://md.research.elamur.ai/free/en/papers/mahdavi-2025-leveraging-online-olympiad-level-math/) 1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations* 2. **[CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization](https://md.research.elamur.ai/free/en/papers/peng-2026-criticlean-critic-guided-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.*2026 · 12 citations* 8 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/mahdavi-2025-leveraging-online-olympiad-level-math/) — Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation