{
  "id": "2610.39444",
  "title": "End-to-End Guarantees for Masked Diffusion Models under Conditional Mixing",
  "authors": "Fareed Sheriff",
  "first_public": "2026-10-29",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2610.39444",
  "paper_url": "https://arxiv.org/abs/2610.39444",
  "html_url": "https://arxiv.org/html/2610.39444v1",
  "lens": [
    "beyond-sequential",
    "analysis"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "diffusion",
    "parallel"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "theory",
    "efficiency",
    "limitations"
  ],
  "evidence": [
    "formal",
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Derives learning and decoding-error bounds for masked diffusion under an assumption that distant tokens have rapidly decreasing influence. Studies how spacing out tokens revealed together trades parallelism against dependence, and identifies limits of the assumption for natural language.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Fareed Sheriff"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.39444/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-39444",
  "citation_date": "2026-10-29",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.39444/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.39444/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.39444/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.39444/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.39444"
}