{
  "id": "2607.06648",
  "title": "Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories",
  "authors": "Hengyu Jin, Shu Yang, Di Wang",
  "first_public": "2026-07-07",
  "venue": "arXiv",
  "arxiv": "2607.06648",
  "paper_url": "https://arxiv.org/abs/2607.06648",
  "lens": [
    "analysis",
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "evaluation",
    "limitations"
  ],
  "evidence": [
    "empirical",
    "mechanistic",
    "boundary"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Tests how answers respond to changed inputs and altered hidden reasoning states throughout training. These responses can change even while accuracy remains high.",
  "provenance": "Primary-source literature search, 2026-09-05",
  "author_names": [
    "Hengyu Jin",
    "Shu Yang",
    "Di Wang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2607.06648/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2607-06648",
  "citation_date": "2026-07-07",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2607.06648/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2607.06648/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2607.06648/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2607.06648/citation.csl.json"
}