🔗 Who cites «ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution»

42 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution»

1. DeepScientist: Advancing Frontier-Pushing Scientific Findings ProgressivelyarXiv:2509.26603Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.2025 · 17 citations
2. Mathematical exploration and discovery at scalearXiv:2511.02864Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, et al.2025 · 16 citations
3. CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended DiscoveryarXiv:2604.01658Ao Qu, Han Zheng, Zijian Zhou, et al.2026 · 9 citations
4. AI for Auto-Research: Roadmap & User GuidearXiv:2605.18661Lingdong Kong, Xian Sun, Wei Chow, et al.2026 · 5 citations
5. AlphaResearch: Accelerating New Algorithm Discovery with Language ModelsarXiv:2511.08522Zhaojian Yu, Kaiyue Feng, Yilun Zhao, et al.2025 · 3 citations
6. Can We Predict Before Executing Machine Learning Agents?Annual Meeting of the Association for Computational Linguistics (ACL)Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.2026 · 2 citations
7. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
8. AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionFindings of the Association for Computational LinguisticsPretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, et al.2026
9. Evolutionary Search for Automated Design of Uncertainty Quantification MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, et al.2026

33 more papers of our library cite it; they have no page here yet.

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