--- title: "Who cites PHYRE: A New Benchmark for Physical Reasoning" description: "26 papers of the Elamur Research library cite «PHYRE: A New Benchmark for Physical Reasoning», found in their bibliographies; the most…" canonical: "https://research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [PHYRE: A New Benchmark for Physical Reasoning](https://md.research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/) / cited by # Who cites «PHYRE: A New Benchmark for Physical Reasoning» 26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · [← back to «PHYRE: A New Benchmark for Physical Reasoning»](https://md.research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/) 1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) 2. **[Experience Grounds Language](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.*2020 · 439 citations* 3. [**Discovering Symbolic Models from Deep Learning with Inductive Biases arXiv:2006.11287**Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.*2020 · 272 citations*](https://md.research.elamur.ai/free/en/papers/cranmer-2020-discovering-symbolic-models-deep/) 4. [**Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models arXiv:2501.09686**Fengli Xu, Qianyue Hao, Zefang Zong, et al.*2025 · 120 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-towards-large-reasoning-models-survey/) 5. **[PROST: Physical Reasoning about Objects through Space and Time](https://md.research.elamur.ai/free/en/papers/ouellette-2021-prost-physical-reasoning-about-objects/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Stéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.*2021 · 40 citations* 6. [**CoPhy: Counterfactual Learning of Physical Dynamics arXiv:1909.12000**Fabien Baradel, Natalia Neverova, Julien Mille, et al.*2019 · 40 citations*](https://md.research.elamur.ai/free/en/papers/baradel-2019-cophy-counterfactual-learning-physical-dynamics/) 7. **[NEWTON: Are Large Language Models Capable of Physical Reasoning?](https://md.research.elamur.ai/free/en/papers/wang-2023-newton-are-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yi Wang, Jiafei Duan, Dieter Fox, et al.*2023 · 27 citations* 8. [**Physion: Evaluating Physical Prediction from Vision in Humans and Machines arXiv:2106.08261**Daniel M. Bear, Elias Wang, Damian Mrowca, et al.*2021 · 23 citations*](https://md.research.elamur.ai/free/en/papers/bear-2021-physion-evaluating-physical-prediction-vision/) 9. [**UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models arXiv:2502.00334**Xin Xu, Qiyun Xu, Tong Xiao, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-ugphysics-comprehensive-benchmark-undergraduate-physics/) 10. **[CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractions](https://md.research.elamur.ai/free/en/papers/ates-2022-craft-benchmark-causal-reasoning-about/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tayfun Ates, M. Ateşoğlu, Çağatay Yiğit, et al.*2022 · 17 citations* 11. **[Maintaining Common Ground in Dynamic Environments](https://md.research.elamur.ai/free/en/papers/udagawa-2021-maintaining-common-ground-dynamic-environments/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Takuma Udagawa, Akiko Aizawa*2021 · 13 citations* 15 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/bakhtin-2019-phyre-new-benchmark-physical-reasoning/) — PHYRE: A New Benchmark for Physical Reasoning