{
  "id": "2610.36466",
  "title": "Nemotron-Labs-Diffusion-Uni: Elastic Self-Refining Unified Diffusion LLM with Cross-Paradigm On-Policy Distillation",
  "authors": "Shufan Li, Hanrong Ye, Greg Heinrich, Yonggan Fu, Haotian Zhang, Sifei Liu, Aditya Grover, Pavlo Molchanov",
  "first_public": "2026-10-27",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2610.36466",
  "paper_url": "https://arxiv.org/abs/2610.36466",
  "html_url": "https://arxiv.org/html/2610.36466v1",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "diffusion",
    "parallel"
  ],
  "training": [
    "pretraining",
    "distillation",
    "supervised"
  ],
  "questions": [
    "capability",
    "architecture",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "multimodal",
    "vision",
    "language"
  ],
  "summary": "Trains a unified multimodal diffusion model using an autoregressive view for teacher supervision and a consistency loss for blockwise decoding. Evaluates visual math and logic alongside image generation and editing.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Shufan Li",
    "Hanrong Ye",
    "Greg Heinrich",
    "Yonggan Fu",
    "Haotian Zhang",
    "Sifei Liu",
    "Aditya Grover",
    "Pavlo Molchanov"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.36466/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-36466",
  "citation_date": "2026-10-27",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.36466/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.36466/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.36466/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.36466/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.36466"
}