---
title: "Who cites Seed1.5-Thinking: Advancing — 60 citing papers"
description: "60 papers of the Elamur Research library cite «Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning», found…"
canonical: "https://research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Seed1.5-Thinking: Advancing Superb Reasoning…](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/) / cited by

# Who cites «Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning»

60 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning»](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/)

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. [**MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention arXiv:2506.13585**MiniMax, Aili Chen, Aonian Li, et al.*2025 · 58 citations*](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-m1-scaling-test/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/bytedance-seed-2025-seed1-5-thinking-advancing/) — Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning