---
title: "Who cites Adam Zsolt Wagner — 190 papers of our library"
description: "190 papers of the Elamur Research library cite the works of Adam Zsolt Wagner, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/adam-zsolt-wagner/cited-by/"
---
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# Who cites Adam Zsolt Wagner

201 citations of their works from 190 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · [← Adam Zsolt Wagner](https://md.research.elamur.ai/free/en/authors/adam-zsolt-wagner/)

1. [**Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paper**Yang Yue, Zhiqi Chen, Rui Lu, et al.*2025 · 216 citations*](https://md.research.elamur.ai/free/en/papers/yue-2025-reinforcement-learning-really-incentivize-reasoning/)
2. [**Reinforcement Learning via Self-Distillation arXiv:2601.20802**Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.*2026 · 74 citations*](https://md.research.elamur.ai/free/en/papers/hubotter-2026-reinforcement-learning-self-distillation/)
3. [**Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents arXiv:2505.22954**Jenny Zhang, Shengran Hu, Cong Lu, et al.*2025 · 47 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-darwin-godel-machine-open/)
4. [**ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution arXiv:2509.19349**Robert Tjarko Lange, Yuki Imajuku, Edoardo Cetin*2025 · 42 citations*](https://md.research.elamur.ai/free/en/papers/lange-2025-shinkaevolve-open-ended-sample/)
5. [**A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence arXiv:2507.21046**Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.*2025 · 36 citations*](https://md.research.elamur.ai/free/en/papers/gao-2025-survey-self-evolving-agents-where/)
6. **[An AI system to help scientists write expert-level empirical software](https://md.research.elamur.ai/free/en/papers/aygun-2025-ai-system-help-scientists/) [Nature](https://md.research.elamur.ai/free/en/venues/nature/)**Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.*2025 · 27 citations*
7. [**ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition arXiv:2503.21248**Yujie Liu, Zonglin Yang, Tong Xie, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-researchbench-benchmarking-llms-scientific/)
8. [**Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents arXiv:2503.24047**Shuo Ren, Can Xie, Pu Jian, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/ren-2025-scientific-intelligence-survey-llm/)
9. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations*
10. [**From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery arXiv:2508.14111**Jiaqi Wei, Yuejin Yang, Xiang Zhang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/wei-2025-ai-science-agentic-science/)
11. [**The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas arXiv:2506.20803**Chenglei Si, Tatsunori Hashimoto, Diyi Yang*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/si-2025-ideation-execution-gap-execution/)
12. [**DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively arXiv:2509.26603**Yixuan Weng, Minjun Zhu, Qiujie Xie, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/weng-2025-deepscientist-advancing-frontier-pushing/)
13. [**Mathematical exploration and discovery at scale arXiv:2511.02864**Bogdan Georgiev, Javier Gómez-Serrano, Terence Tao, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/georgiev-2025-mathematical-exploration-discovery-scale/)
14. [**ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows arXiv:2505.19897**Qiushi Sun, Zhoumianze Liu, Chang Ma, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/sun-2025-scienceboard-evaluating-multimodal-autonomous-agents/)
15. [**CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery arXiv:2604.01658**Ao Qu, Han Zheng, Zijian Zhou, et al.*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/qu-2026-coral-towards-autonomous-multi-agent/)
16. **[Reinforcement Learning for Self-Improving Agent with Skill Library](https://md.research.elamur.ai/free/en/papers/wang-2026-reinforcement-learning-self-improving-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiongxiao Wang, Qiaojing Yan, Yawei Wang, et al.*2026 · 8 citations*
17. [**AlphaGo Moment for Model Architecture Discovery arXiv:2507.18074**Yixiu Liu, Yang Nan, Weixian Xu, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-alphago-moment-model-architecture/)
18. **[CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges](https://md.research.elamur.ai/free/en/papers/wang-2026-creativebench-benchmarking-enhancing-machine-creativity/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Wang, Lam Nguyen, Zhengyang Zhao, et al.*2026 · 6 citations*
19. [**Training AI Co-Scientists Using Rubric Rewards arXiv:2512.23707**Shashwat Goel, Rishi Hazra, Dulhan Jayalath, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/goel-2025-training-ai-co-scientists/)
20. [**AI for Auto-Research: Roadmap & User Guide arXiv:2605.18661**Lingdong Kong, Xian Sun, Wei Chow, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/kong-2026-ai-auto-research-roadmap-user/)
21. [**AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery arXiv:2604.05550**Yu Li, Chenyang Shao, Xinyang Liu, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/li-2026-autosota-end-end-automated-research/)
22. [**AlphaResearch: Accelerating New Algorithm Discovery with Language Models arXiv:2511.08522**Zhaojian Yu, Kaiyue Feng, Yilun Zhao, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/yu-2025-alpharesearch-accelerating-new-algorithm/)
23. **[Can We Predict Before Executing Machine Learning Agents?](https://md.research.elamur.ai/free/en/papers/zheng-2026-can-we-predict-before-executing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingsheng Zheng, Jintian Zhang, Yujie Luo, et al.*2026 · 2 citations*
24. [**Training AI Scientists to Replicate Research arXiv:2608.13331**Damon Falck, Samer Sabri, Anja Surina, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/falck-2026-training-ai-scientists-replicate/)
25. **[Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://md.research.elamur.ai/free/en/papers/wu-2026-can-ai-be-good-peer/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sihong Wu, Owen Jiang, Yilun Zhao, et al.*2026 · 1 citation*
26. **[What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-what-makes-llm-good-optimizer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinhao Zhang, Xi Chen, François Portet, et al.*2026 · 1 citation*
27. [**Workflow Closure Is Not Scientific Closure in Auto-Research Systems arXiv:2605.26200**Shuai Wang, Xinyuan Tian, Pangpang Liu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2026-workflow-closure-scientific-closure/)
28. **[AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model Selection](https://md.research.elamur.ai/free/en/papers/ray-2026-adaptevolve-improving-efficiency-evolutionary-ai/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pretam Ray, Pratik Prabhanjan Brahma, Zicheng Liu, et al.*2026*
29. **[AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentfactory-self-evolving-framework-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhang Zhang, Shuqi Lu, Hongjin Qian, et al.*2026*
30. **[AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment](https://md.research.elamur.ai/free/en/papers/wang-2026-alphacontext-evolutionary-tree-based-psychometric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixuan Wang, Yue Huang, Hong Qian, et al.*2026*
31. **[Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers](https://md.research.elamur.ai/free/en/papers/zhao-2026-are-my-optimized-prompts-compromised/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.*2026*
32. [**Auditing Discovery Claims: A Two-Sided Criterion for Agentic Science, with the Negative Side Decidable arXiv:2608.00981**Wenhui Chen, Jianlin Chen, Ziyao Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/chen-2026-auditing-discovery-claims-two/)
33. **[Demystify the Role of Memory in Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-demystify-role-memory-machine-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.*2026*
34. **[Evolutionary Search for Automated Design of Uncertainty Quantification Methods](https://md.research.elamur.ai/free/en/papers/seleznyov-2026-evolutionary-search-automated-design-uncertainty/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, et al.*2026*
35. **[Open Problems Solved by LLMs? A Survey of Verifiable Mathematical Discovery](https://md.research.elamur.ai/free/en/papers/tzachristas-2026-open-problems-solved-llms-survey/) [Big Picture v2: Crafting a Research Narrative](https://md.research.elamur.ai/free/en/venues/bigpicture/)**Ioannis Tzachristas, Georgios Tzachristas, Aifen Sui*2026*
36. **[Output-Space Search: Targeting LLM Generations in a Frozen Encoder-Defined Output Space](https://md.research.elamur.ai/free/en/papers/materzok-2026-output-space-search-targeting-llm/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Tobias Materzok*2026*

154 more citing papers of our library have no page here yet.

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