Recoverable Identifier

arXiv:2604.25259 · detector doi_compliance · incontrovertible · 2026-05-19 21:15:20.976170+00:00

Paper page Integrity report arXiv Try DOI

Evidence text

Chen, Chacha, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuan- hao Xiong, Kai Xu, and Zhenhui Li (Apr. 2020). “Toward A Thou- sand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. ” In:Proceedings of the AAAI Conference on Artificial Intelligence34.04, pp. 3414–3421.doi: 10.1609/aaai.v34i04.5744.url: https://ojs.aaai.org/index.php/ AAAI/article/view/5744. Guo, Daya, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shengqi Li, P. Wang, et al. (2025). DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Re- inforcement Learning. arXiv: 2501.12948 [cs.CL].url: https: //arxiv.org/abs/2501.12948. Lai, Siqi, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong (2024). LLMLight: Large Language Models as Traffic Signal Control Agents. arXiv: 2312.16044 [cs.AI].url: https://arxiv.org/abs/2312. 16044. Mercader, Pedro, Wasim Uwayid, and Jack Haddad (2020). “Max- pressure traffic controller based on travel times: An experimental analysis. ” In:Transportation Research Part C: Emerging Technolo- gies110, pp. 275–290.issn: 0968-090X.doi: https://doi.org/10. 1016/j.trc.2019.10.002.url: https://www.sciencedirect.com/ science/article/pii/S0968090X19307442. Yu Ouyang, Long, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wain- wright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Kata- rina Slama, Alex Ray, et al. (2022).Training Language Models to Follow Instructions with Human Feedback. arXiv: 2203.02155 [cs.CL].url: https://ar

Evidence payload

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  "reconstructed_doi": "10.1609/aaai.v34i04.5744.url:https://ojs.aaai.org/index.php/",
  "ref_index": 1,
  "resolved_title": null,
  "verdict_class": "incontrovertible"
}