{
  "id": "2610.26542",
  "title": "Breaking Diffusion: Parallel Reasoning with Draft Refinement",
  "authors": "Jaesang Yu, Seoyeon Byun, Yun Wang, Yan Lu, Juho Kim",
  "first_public": "2026-10-19",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.26542",
  "paper_url": "https://arxiv.org/abs/2610.26542",
  "html_url": "https://arxiv.org/html/2610.26542v1",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "parallel"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical",
    "formal"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Uses one denoiser to revise all tokens in a complete draft in parallel and score the revised draft in context. Repeated refinement keeps the lowest-energy candidate, with experiments on arithmetic, Sudoku and maze solving.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Jaesang Yu",
    "Seoyeon Byun",
    "Yun Wang",
    "Yan Lu",
    "Juho Kim"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.26542/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-26542",
  "citation_date": "2026-10-19",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.26542/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.26542/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.26542/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.26542/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.26542"
}