{
  "id": "2602.04925",
  "title": "Internalizing LLM Reasoning via Discovery and Replay of Latent Actions",
  "authors": "Zhenning Shi, Yijia Zhu, Junhan Shi, Xun Zhang, Lei Wang, Congcong Miao",
  "first_public": "2026-02-04",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2602.04925",
  "paper_url": "https://arxiv.org/abs/2602.04925",
  "html_url": "https://arxiv.org/html/2602.04925v1",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "token-wise",
    "stateful",
    "search"
  ],
  "training": [
    "inference-only"
  ],
  "questions": [
    "controllability",
    "efficiency",
    "capability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Builds a library of activation edits from successful and failed reasoning traces, then selects edits during generation. Uses short lookahead checks to steer ongoing written reasoning, rather than replacing the trace with a sequence of hidden-state steps.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Zhenning Shi",
    "Yijia Zhu",
    "Junhan Shi",
    "Xun Zhang",
    "Lei Wang",
    "Congcong Miao"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2602.04925/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2602-04925",
  "citation_date": "2026-02-04",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2602.04925/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2602.04925/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2602.04925/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2602.04925/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2602.04925"
}