{
  "id": "2605.28292",
  "title": "CIRF: Tokenizing Chain-of-Thoughts into Reusable Functional Units for Efficient Latent Reasoning in Large Language Models",
  "authors": "Yukyung Lee, Yumeng Shen, Jinhyeong Park, Hyein Yang, Jun-Hyung Park",
  "first_public": "2026-05-27",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2605.28292",
  "paper_url": "https://arxiv.org/abs/2605.28292",
  "html_url": "https://arxiv.org/html/2605.28292v1",
  "lens": [
    "learned-tokens",
    "internalized"
  ],
  "representation": [
    "discrete-token",
    "text-latent-hybrid"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "supervised",
    "distillation"
  ],
  "questions": [
    "efficiency",
    "capability",
    "controllability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Replaces written reasoning steps with reusable discrete tokens learned from their functional roles. The model generates these tokens with optional short textual results before answering, and prunes textual results according to their effect on answer prediction.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Yukyung Lee",
    "Yumeng Shen",
    "Jinhyeong Park",
    "Hyein Yang",
    "Jun-Hyung Park"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2605.28292/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2605-28292",
  "citation_date": "2026-05-27",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2605.28292/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2605.28292/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2605.28292/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2605.28292/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2605.28292"
}