{
  "id": "2610.28489",
  "title": "Asymmetric Looped Transformers: Fixed Global Representations for an Iterative Decoder",
  "authors": "Cheng Liang, Tengfei Zhang, Wenjie DU, Jianyu Wu, Changlian Ma, Shuchen Pu, Ya Zhang, Yanfeng Wang, Zhouhan Lin",
  "first_public": "2026-10-20",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.28489",
  "paper_url": "https://arxiv.org/abs/2610.28489",
  "html_url": "https://arxiv.org/html/2610.28489v1",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state",
    "cache-memory"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "pretraining"
  ],
  "questions": [
    "architecture",
    "efficiency",
    "scaling"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Runs a causal encoder once, then repeatedly applies a shared decoder that attends to fixed encoder context and its evolving hidden states. Evaluates this division of work against fully looped and standard language models during pretraining.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Cheng Liang",
    "Tengfei Zhang",
    "Wenjie DU",
    "Jianyu Wu",
    "Changlian Ma",
    "Shuchen Pu",
    "Ya Zhang",
    "Yanfeng Wang",
    "Zhouhan Lin"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.28489/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-28489",
  "citation_date": "2026-10-20",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.28489/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.28489/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.28489/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.28489/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.28489"
}