{
  "id": "2611.08307",
  "title": "Measured Coupling for Parallel Decoding in Diffusion Language Models",
  "authors": "Tal Oved, Lior Wolf",
  "first_public": "2026-11-05",
  "added_at": "2026-11-09",
  "venue": "arXiv",
  "arxiv": "2611.08307",
  "paper_url": "https://arxiv.org/abs/2611.08307",
  "html_url": "https://arxiv.org/html/2611.08307v1",
  "lens": [
    "beyond-sequential",
    "analysis"
  ],
  "representation": [
    "discrete-token",
    "cache-memory"
  ],
  "computation": [
    "diffusion",
    "parallel"
  ],
  "training": [
    "inference-only"
  ],
  "questions": [
    "efficiency",
    "theory",
    "controllability"
  ],
  "evidence": [
    "empirical",
    "formal"
  ],
  "modality": [
    "language"
  ],
  "summary": "Measures how committing one token changes confidence in other tokens, then uses those interactions to choose which positions to fill together. Shares cached states and model calls between the probes and the main decoder.",
  "provenance": "Primary-source literature review, 2026-11-09",
  "author_names": [
    "Tal Oved",
    "Lior Wolf"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2611.08307/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2611-08307",
  "citation_date": "2026-11-05",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2611.08307/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2611.08307/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2611.08307/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2611.08307/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2611.08307"
}