--- title: "Who cites Insights into DeepSeek-V3: — 33 citing papers" description: "33 papers of the Elamur Research library cite «Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI…" canonical: "https://research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Insights into DeepSeek-V3: Scaling Challenges and…](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/) / cited by # Who cites «Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures» 33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures»](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/) 1. [**GLM-5: from Vibe Coding to Agentic Engineering arXiv:2602.15763**Aohan Zeng, Xin Lv, Zhenyu Hou, et al.*2026 · 95 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-5-glm-5-vibe-coding/) 2. [**Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding arXiv:2507.19427**StepFun, Bin Wang, Bojun Wang, et al.*2025 · 26 citations*](https://md.research.elamur.ai/free/en/papers/stepfun-2025-step-3-large-yet/) 3. **[Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)](https://md.research.elamur.ai/free/en/papers/dong-2025-code-generation-llm/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.*2025* 30 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhao-2025-insights-deepseek-v3-scaling/) — Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures