---
title: "Who cites Incentivizing In-depth Reasoning — 2 citing papers"
description: "2 papers of the Elamur Research library cite «Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping», found…"
canonical: "https://research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Incentivizing In-depth Reasoning over Long…](https://md.research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/) / cited by

# Who cites «Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping»

2 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 «Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping»](https://md.research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/)

1. **[AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms?](https://md.research.elamur.ai/free/en/papers/sun-2026-algbench-what-extent-do-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Henan Sun, Kaichi Yu, Yuyao Wang, et al.*2026*
2. **[Data Foundations of Long-Context Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/sun-2026-data-foundations-long-context-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zechen Sun, Yuyang Sun, Zhaochen Su, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/peng-2026-incentivizing-depth-reasoning-over-long/) — Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping