{
  "id": "2511.07384",
  "title": "Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence",
  "authors": "Sean McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, Micah Goldblum",
  "first_public": "2025-11-10",
  "venue": "arXiv",
  "arxiv": "2511.07384",
  "paper_url": "https://arxiv.org/abs/2511.07384",
  "code_url": "https://github.com/mcleish7/retrofitting-recurrence",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "curriculum"
  ],
  "questions": [
    "capability",
    "efficiency",
    "architecture"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Adds recurrent depth to pretrained language models and trains them to use repeated internal computation without pretraining from scratch.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "Sean McLeish",
    "Ang Li",
    "John Kirchenbauer",
    "Dayal Singh Kalra",
    "Brian R. Bartoldson",
    "Bhavya Kailkhura",
    "Avi Schwarzschild",
    "Jonas Geiping",
    "Tom Goldstein",
    "Micah Goldblum"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2511.07384/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2511-07384",
  "citation_date": "2025-11-10",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2511.07384/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2511.07384/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2511.07384/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2511.07384/citation.csl.json"
}