{
  "id": "2610.12582",
  "title": "One Model to Loop Them All: Elastic Latent Recurrence for Language Models",
  "authors": "Faisal Ladhak, Shantanu Acharya, Santiago Akle Serano, Simeng Sun, Boris Ginsburg, Krishna C Puvvada",
  "first_public": "2026-10-08",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.12582",
  "paper_url": "https://arxiv.org/abs/2610.12582",
  "summary": "Trains one language model to operate at different loop counts by mixing depths during training and conditioning each pass on its index and budget. A learned gate controls each recurrent update.",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "pretraining",
    "supervised"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "scaling",
    "controllability"
  ],
  "evidence": [
    "empirical",
    "scaling"
  ],
  "modality": [
    "language"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Faisal Ladhak",
    "Shantanu Acharya",
    "Santiago Akle Serano",
    "Simeng Sun",
    "Boris Ginsburg",
    "Krishna C Puvvada"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.12582/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-12582",
  "citation_date": "2026-10-08",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.12582/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.12582/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.12582/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.12582/citation.csl.json"
}
