{
  "id": "2609.15160",
  "title": "T-LoopFormer: Token-Level Elastic-Depth Looped Transformers with Dynamic Routing",
  "authors": "Mingqian Yu, Wenpeng Zhang, Shaobo Cui, Peilin Zhao",
  "first_public": "2026-09-14",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.15160",
  "paper_url": "https://arxiv.org/abs/2609.15160",
  "summary": "Learns a router that chooses how many recurrent passes each token receives, and keeps separate key/value caches for each pass.",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state",
    "cache-memory"
  ],
  "computation": [
    "recurrent",
    "depth-wise",
    "token-wise"
  ],
  "training": [
    "pretraining"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "capability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Mingqian Yu",
    "Wenpeng Zhang",
    "Shaobo Cui",
    "Peilin Zhao"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.15160/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-15160",
  "citation_date": "2026-09-14",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.15160/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.15160/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.15160/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.15160/citation.csl.json"
}