--- title: "Who cites Sparks of Pure Competence in — 3 citing papers" description: "3 papers of the Elamur Research library cite «Sparks of Pure Competence in LLMs: the Case of Syntactic Center Embedding in English»…" canonical: "https://research.elamur.ai/free/en/papers/hardt-2025-sparks-pure-competence-llms-case/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/hardt-2025-sparks-pure-competence-llms-case/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Sparks of Pure Competence in LLMs: the Case of…](https://md.research.elamur.ai/free/en/papers/hardt-2025-sparks-pure-competence-llms-case/) / cited by # Who cites «Sparks of Pure Competence in LLMs: the Case of Syntactic Center Embedding in English» 3 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 «Sparks of Pure Competence in LLMs: the Case of Syntactic Center Embedding in English»](https://md.research.elamur.ai/free/en/papers/hardt-2025-sparks-pure-competence-llms-case/) 1. [**Flout at Your Own Risk: LLMs Struggle with Pragmatic Cooperativity Under Epistemic Asymmetry arXiv:2607.11053**Hannah VanderHoeven, Abhijnan Nath, Nikhil Krishnaswamy*2026*](https://md.research.elamur.ai/free/en/papers/vanderhoeven-2026-flout-own-risk-llms-struggle/) 2. **[The Dog the Cat Chased Stumped the Model: Measuring When Language Models Abandon Structure for Shortcuts](https://md.research.elamur.ai/free/en/papers/madhusudan-2026-dog-cat-chased-stumped-model/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sangmitra Madhusudan, Kaige Chen, Ali Emami*2026* 1 more paper of our library cites it; it has no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/hardt-2025-sparks-pure-competence-llms-case/) — Sparks of Pure Competence in LLMs: the Case of Syntactic Center Embedding in English