{
  "id": "2609.24196",
  "title": "LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language Models",
  "authors": "Byeongho Yu, Junhyuk So, Eunhyeok Park",
  "first_public": "2026-09-21",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.24196",
  "paper_url": "https://arxiv.org/abs/2609.24196",
  "summary": "Uses differences between early- and late-loop predictions to adjust token sampling at inference time, without retraining the model.",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "depth-wise"
  ],
  "training": [
    "inference-only"
  ],
  "questions": [
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Byeongho Yu",
    "Junhyuk So",
    "Eunhyeok Park"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.24196/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-24196",
  "citation_date": "2026-09-21",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.24196/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.24196/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.24196/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.24196/citation.csl.json"
}