{
  "id": "2606.01243",
  "title": "Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention",
  "authors": "Shuochen Chang, Tong Bai, Xiaofeng Zhang, Qianli Ma, Qingyang Liu, Zhaohe Liao, Yibo Miao, Li Niu",
  "first_public": "2026-05-31",
  "added_at": "2026-10-18",
  "venue": "ACL 2026",
  "arxiv": "2606.01243",
  "paper_url": "https://arxiv.org/abs/2606.01243",
  "lens": [
    "analysis",
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "supervised",
    "test-time-optimization"
  ],
  "questions": [
    "interpretability",
    "controllability",
    "capability"
  ],
  "evidence": [
    "probing",
    "mechanistic",
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Uses probes, ablations, and targeted edits to study how continuous reasoning states affect answers. Builds interventions from learned semantic mappings and geometric constraints, improving the evaluated models by editing their latent states without updating base-model weights.",
  "provenance": "Awesome-Latent-CoT; primary sources checked 2026-10-18",
  "author_names": [
    "Shuochen Chang",
    "Tong Bai",
    "Xiaofeng Zhang",
    "Qianli Ma",
    "Qingyang Liu",
    "Zhaohe Liao",
    "Yibo Miao",
    "Li Niu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2606.01243/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2606-01243",
  "citation_date": "2026-05-31",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2606.01243/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2606.01243/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2606.01243/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2606.01243/citation.csl.json"
}