---
title: "Who cites MiniMax-M1: Scaling Test-Time — 58 citing papers"
description: "58 papers of the Elamur Research library cite «MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [MiniMax-M1: Scaling Test-Time Compute Efficiently…](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/) / cited by

# Who cites «MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention»](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/)

1. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations*
2. [**Group Sequence Policy Optimization arXiv:2507.18071**Chujie Zheng, Shixuan Liu, Mingze Li, et al.*2025 · 166 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2025-group-sequence-policy-optimization/)
3. [**GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models arXiv:2508.06471**Aohan Zeng, Xin Lv, Qinkai Zheng, et al.*2025 · 157 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-4-glm-4-5-agentic/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/) — MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention