{
  "id": "2610.19568",
  "title": "INTACT: Inducing Latent Reasoning on a Frozen Backbone",
  "authors": "Kutay Tire, Atula Tejaswi, Haris Vikalo, Sujay Sanghavi",
  "first_public": "2026-10-14",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.19568",
  "paper_url": "https://arxiv.org/abs/2610.19568",
  "lens": [
    "continuous"
  ],
  "representation": [
    "text-latent-hybrid"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "distillation",
    "reinforcement-learning"
  ],
  "questions": [
    "capability",
    "efficiency",
    "generalization"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Trains a small encoder to turn a frozen model's hidden states into successive blocks of continuous thoughts. After this latent prefix, the frozen model writes its remaining reasoning and answer; the encoder learns through distillation and answer-correctness rewards.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Kutay Tire",
    "Atula Tejaswi",
    "Haris Vikalo",
    "Sujay Sanghavi"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.19568/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-19568",
  "citation_date": "2026-10-14",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.19568/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.19568/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.19568/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.19568/citation.csl.json"
}