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Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhu, Minhui, Tian, Minyang, Yang, Xiaocheng, Zhou, Tianci, Yuan, Lifan, Zhu, Penghao, Chertkov, Eli, Liu, Shengyan, Du, Yufeng, Ji, Ziming, Das, Indranil, Chen, Qingzhi, Cao, Junyi, Yu, Jiabin, Wu, Peixue, He, Jinchen, Su, Yifan, Jiang, Yikun, Zhang, Yujie, Liu, Chang, Huang, Ze-Min, Jia, Weizhen, Wang, Yunkai, Jafarpour, Farshid, Zhao, Yong, Chen, Xinan, Shelton, Jessie, Young, Aaron W., Bartolotta, John, Xu, Wenchao, Sun, Yue, Chu, Anjun, Colussi, Victor, Akers, Chris, Brooks, Nathan, Fu, Wenbo, Zhao, Jinchao, Qi, Marvin, Mu, Anqi, Yang, Yubo, Zang, Allen, Lyu, Yang, Mai, Peizhi, Wilson, Christopher, Guo, Xuefei, Zhou, Juntai, Inafuku, Daniel, Xue, Chi, Gao, Luyu, Yang, Ze, Hein, Yaïr, Kahn, Yonatan, Zhou, Kevin, Luo, Di, Wilson, John Drew, Reilly, Jarrod T., Bandak, Dmytro, Press, Ofir, Yang, Liang, Wang, Xueying, Tong, Hao, Chia, Nicolas, Huerta, Eliu, Peng, Hao
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Other Condensed Matter Computation and Language High Energy Physics - Theory Quantum Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.26574