{
  "id": "2611.06835",
  "title": "LooM: Loop-Invariant Memory for Causal Encoder-Decoder Language Models",
  "authors": "Lele Yang, Muxi Diao, Zhonghao Yan, Jiankang Chen, Bin Wen, Tingting Gao, Wentao Zhang, Kongming Liang, Zhanyu Ma, Weiran Xu",
  "first_public": "2026-11-04",
  "added_at": "2026-11-09",
  "venue": "arXiv",
  "arxiv": "2611.06835",
  "paper_url": "https://arxiv.org/abs/2611.06835",
  "html_url": "https://arxiv.org/html/2611.06835v1",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "cache-memory",
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "pretraining",
    "self-distillation"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "scaling"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Reuses a fixed memory bank while decoder layers repeat their reads. Each token writes its local cache once, allowing different recurrent-depth budgets without increasing the stored cache size.",
  "provenance": "Primary-source literature review, 2026-11-09",
  "author_names": [
    "Lele Yang",
    "Muxi Diao",
    "Zhonghao Yan",
    "Jiankang Chen",
    "Bin Wen",
    "Tingting Gao",
    "Wentao Zhang",
    "Kongming Liang",
    "Zhanyu Ma",
    "Weiran Xu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2611.06835/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2611-06835",
  "citation_date": "2026-11-04",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2611.06835/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2611.06835/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2611.06835/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2611.06835/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2611.06835"
}