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reading consistently attributes the findings and interpretations to the paper's authors. The arXiv listing names Shuyue Stella Li et al. as authors. The reading presents the claims as reported results, not as established facts.","excerpt":"Authors:Shuyue Stella Li, Priyanka Kargupta, Haocheng Wang, Jinu Lee, Dean Light, Shan Chen"},{"dimension":"summary","status":"pass","explanation":"The summary follows the abstract's argument: models fail on simpler variants, a 28-element taxonomy, a human-model comparison, the 9.7-point guidance gain, the research-gap meta-analysis and the diagnostic aim. Terms such as traces, think-aloud, test-time reasoning guidance, reasoning topologies and ill-structured problems are kept exactly; these suit term-library tooltips. Minor omissions (text, vision and audio modalities; testing human cognition theories at scale) do not distort the meaning. The question follows from the evidence.","excerpt":"Large language models (LLMs) solve complex problems yet fail on simpler variants"},{"dimension":"date","status":"pass","explanation":"The originalPublished date of 2025-11-20 matches the v1 submission date. It is neither the v3 revision of 5 Nov 2026 nor the 2026 feed date.","excerpt":"[Submitted on 20 Nov 2025 (v1), last revised 5 Nov 2026 (this version, v3)]"},{"dimension":"support","status":"pass","explanation":"Each claim matches the abstract's wording, including the counts (28 elements, 192K traces, 18 models, 1,346 human traces, 1.6K papers) and the 9.7 percentage-point gain limited to the strongest models on ill-structured problems. The limitations correctly note that the evidence is an abstract only. No benefit or real-world reliability is implied beyond what the source says.","excerpt":"improving the accuracy of the strongest models by 9.7 percentage points on ill-structured problems"},{"dimension":"media","status":"pass","explanation":"The selected media is the verified arXiv abstract page itself. It is the direct original source and the most relevant link.","excerpt":null}],"createdAt":"2026-11-09T00:23:26.215Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}