---
title: "Who cites Process Reward Models Meet — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for…"
canonical: "https://research.elamur.ai/free/en/papers/pisano-2026-process-reward-models-meet-planning/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Process Reward Models Meet Planning: Generating…](https://md.research.elamur.ai/free/en/papers/pisano-2026-process-reward-models-meet-planning/) / cited by

# Who cites «Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards»](https://md.research.elamur.ai/free/en/papers/pisano-2026-process-reward-models-meet-planning/)

1. **[ReTraceQA: Evaluating Reasoning Traces of Small Language Models in Commonsense Question Answering](https://md.research.elamur.ai/free/en/papers/molfese-2026-retraceqa-evaluating-reasoning-traces-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Francesco Maria Molfese, Luca Moroni, Ciro Porcaro, et al.*2026 · 1 citation*
- [← back to](https://md.research.elamur.ai/free/en/papers/pisano-2026-process-reward-models-meet-planning/) — Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards