---
title: "Who cites OmniScience: A — 12 citing papers — Elamur Research"
description: "12 papers of the Elamur Research library cite «OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/prabhakar-2025-omniscience-domain-specialized-llm-scientific/cited-by/"
---
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# Who cites «OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery»](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-omniscience-domain-specialized-llm-scientific/)

1. [**Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning arXiv:2504.17192**Minju Seo, Jinheon Baek, Seongyun Lee, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/seo-2025-paper2code-automating-code-generation/)
2. [**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/)
3. [**Training a Scientific Reasoning Model for Chemistry arXiv:2506.17238**Siddharth M. Narayanan, James D. Braza, Ryan-Rhys Griffiths, et al.*2025 · 15 citations*](https://md.research.elamur.ai/free/en/papers/narayanan-2025-training-scientific-reasoning-model/)
4. [**Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data arXiv:2510.03264**Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/akter-2025-front-loading-reasoning-synergy-between/)
5. **[WildSci: Advancing Scientific Reasoning from In-the-Wild Literature](https://md.research.elamur.ai/free/en/papers/liu-2026-wildsci-advancing-scientific-reasoning-wild/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tengxiao Liu, Deepak Nathani, Zekun Li, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-omniscience-domain-specialized-llm-scientific/) — OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery