{
  "id": "2609.03379",
  "title": "RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory",
  "authors": "Yuxiang Wang, Kunyu Feng, Yingda Shen, Haoning Xu, Junyu Wang, Zhizheng Wu",
  "first_public": "2026-09-03",
  "venue": "arXiv",
  "arxiv": "2609.03379",
  "paper_url": "https://arxiv.org/abs/2609.03379",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state",
    "cache-memory"
  ],
  "computation": [
    "recurrent",
    "depth-wise",
    "stateful"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency",
    "controllability",
    "scaling"
  ],
  "evidence": [
    "empirical",
    "scaling"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Lets looped layers attend to their own earlier iteration states and learns a halting head that allocates recurrent depth per input.",
  "provenance": "Primary-source literature search, 2026-09-05",
  "author_names": [
    "Yuxiang Wang",
    "Kunyu Feng",
    "Yingda Shen",
    "Haoning Xu",
    "Junyu Wang",
    "Zhizheng Wu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.03379/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-03379",
  "citation_date": "2026-09-03",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.03379/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.03379/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.03379/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.03379/citation.csl.json"
}