{
  "id": "2610.23036",
  "title": "Towards Looped Models Done Right, Part I: Topology, Input Injection, Recurrent-State Design",
  "authors": "Benhao Huang, Chufan Shi, Junlin Chen, Shicheng Wen, Zhengzhong Liu, Eric Xing, Xuezhe Ma",
  "first_public": "2026-10-16",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.23036",
  "paper_url": "https://arxiv.org/abs/2610.23036",
  "html_url": "https://arxiv.org/html/2610.23036v1",
  "lens": [
    "recurrent",
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "pretraining"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "scaling"
  ],
  "evidence": [
    "empirical",
    "scaling"
  ],
  "modality": [
    "language"
  ],
  "summary": "Compares where to place shared layers, how to reintroduce the input, and how to organize recurrent states in looped language models. Uses matched dense-model comparisons and a mixture-of-experts study to separate these design choices.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Benhao Huang",
    "Chufan Shi",
    "Junlin Chen",
    "Shicheng Wen",
    "Zhengzhong Liu",
    "Eric Xing",
    "Xuezhe Ma"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.23036/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-23036",
  "citation_date": "2026-10-16",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.23036/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.23036/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.23036/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.23036/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.23036"
}