--- title: "Who cites Internal Chain-of-Thought: — 7 citing papers" description: "7 papers of the Elamur Research library cite «Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs»…" canonical: "https://research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Internal Chain-of-Thought: Empirical Evidence for…](https://md.research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/) / cited by # Who cites «Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs» 7 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 «Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs»](https://md.research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/) 1. [**Implicit Reasoning in Large Language Models: A Comprehensive Survey arXiv:2509.02350**Jindong Li, Yali Fu, Li Fan, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-implicit-reasoning-large-language-models/) 2. **[Layer-aware Dual-directional Modulation for Low-resource Machine Translation](https://md.research.elamur.ai/free/en/papers/zhang-2026-layer-aware-dual-directional-modulation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Siqi Zhang, Ran Song, Shuting Jiang, et al.*2026* 5 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/) — Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs