---
title: "Who cites Front-Loading Reasoning: The — 6 citing papers"
description: "6 papers of the Elamur Research library cite «Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/akter-2025-front-loading-reasoning-synergy-between/cited-by/"
---
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# Who cites «Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data»

6 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 «Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data»](https://md.research.elamur.ai/free/en/papers/akter-2025-front-loading-reasoning-synergy-between/)

1. [**Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning arXiv:2512.20848**NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.*2025 · 27 citations*](https://md.research.elamur.ai/free/en/papers/blakeman-2025-nemotron-3-nano-open-efficient/)
2. **[Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models](https://md.research.elamur.ai/free/en/papers/sun-2026-distributional-clarity-hidden-driver-rl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shaoning Sun, Mingzhu Cai, Huang He, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/akter-2025-front-loading-reasoning-synergy-between/) — Front-Loading Reasoning: The Synergy between Pretraining and Post-Training Data