{
  "id": "2609.19107",
  "title": "How Model Growth, Recursion, and Boundary Operators Influence Scaling Exponents",
  "authors": "Zixi Chen, Akshay Vegesna, Samip Dahal, Andrew Gordon Wilson",
  "first_public": "2026-09-16",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.19107",
  "paper_url": "https://arxiv.org/abs/2609.19107",
  "lens": [
    "recurrent",
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "pretraining"
  ],
  "questions": [
    "scaling",
    "architecture",
    "efficiency"
  ],
  "evidence": [
    "empirical",
    "scaling"
  ],
  "modality": [
    "language"
  ],
  "summary": "Studies how growing a model during training, reusing layers, and modifying the connections between repeated blocks affect language-model scaling. Compares shared and unshared weights and operators that normalize or reintroduce earlier representations.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Zixi Chen",
    "Akshay Vegesna",
    "Samip Dahal",
    "Andrew Gordon Wilson"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.19107/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-19107",
  "citation_date": "2026-09-16",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.19107/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.19107/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.19107/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.19107/citation.csl.json"
}