---
title: "Who cites Symbolic Regression with a Learned Concept Library"
description: "10 papers of the Elamur Research library cite «Symbolic Regression with a Learned Concept Library», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Symbolic Regression with a Learned Concept Library](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/) / cited by

# Who cites «Symbolic Regression with a Learned Concept Library»

10 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Symbolic Regression with a Learned Concept Library»](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/)

1. [**AlphaEvolve: A coding agent for scientific and algorithmic discovery arXiv:2506.13131**Alexander Novikov, Ngân Vũ, Marvin Eisenberger, et al.*2025 · 202 citations*](https://md.research.elamur.ai/free/en/papers/novikov-2025-alphaevolve-coding-agent-scientific-algorithmic/)
2. [**DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience arXiv:2506.04282**Runxiang Wang, Boxiao Wang, Kai Li, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-drsr-llm-based-scientific-equation/)
3. **[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*
4. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/grayeli-2024-symbolic-regression-learned-concept-library/) — Symbolic Regression with a Learned Concept Library
