---
title: "Who cites LogicPro: Improving Complex — 7 citing papers"
description: "7 papers of the Elamur Research library cite «LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/jiang-2025-logicpro-improving-complex-logical-reasoning/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/jiang-2025-logicpro-improving-complex-logical-reasoning/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LogicPro: Improving Complex Logical Reasoning via…](https://md.research.elamur.ai/free/en/papers/jiang-2025-logicpro-improving-complex-logical-reasoning/) / cited by

# Who cites «LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning»

7 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning»](https://md.research.elamur.ai/free/en/papers/jiang-2025-logicpro-improving-complex-logical-reasoning/)

1. [**InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models arXiv:2503.06692**Yuchen Yan, Yongliang Shen, Yang Liu, et al.*2025 · 29 citations*](https://md.research.elamur.ai/free/en/papers/yan-2025-inftythink-breaking-length-limits-long/)
2. [**CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction arXiv:2502.07316**Junlong Li, Daya Guo, Dejian Yang, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-codei-o-condensing-reasoning/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/jiang-2025-logicpro-improving-complex-logical-reasoning/) — LogicPro: Improving Complex Logical Reasoning via Program-Guided Learning