{
  "id": "2610.23275",
  "title": "Verbalising Model's Computation for Chain-of-Thought Faithfulness Detection",
  "authors": "Yujing Wang, Yulan He, Wenya Wang, Hanqi Yan",
  "first_public": "2026-10-16",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.23275",
  "paper_url": "https://arxiv.org/abs/2610.23275",
  "html_url": "https://arxiv.org/html/2610.23275v1",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise",
    "token-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "evaluation"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language"
  ],
  "summary": "Projects hidden states into vocabulary directions to track how internal information changes across layers and written reasoning steps. Uses these trajectories to detect unfaithful chains of thought and test transfer across tasks and models.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Yujing Wang",
    "Yulan He",
    "Wenya Wang",
    "Hanqi Yan"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.23275/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-23275",
  "citation_date": "2026-10-16",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.23275/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.23275/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.23275/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.23275/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.23275"
}