{
  "id": "2609.29102",
  "title": "ELF-REG: Scaling Continuous Diffusion Language Models to Reasoning Tasks",
  "authors": "Zeyu Michael Li, William Xingxu Chen, Bingshuo Qian, Jiayin Liu, Xiang Cheng",
  "first_public": "2026-09-24",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state"
  ],
  "training": [
    "supervised",
    "distillation"
  ],
  "questions": [
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Adapts continuous diffusion to mathematics and code using intermediate-feature supervision and a global representation from a frozen autoregressive teacher. It denoises continuous response representations and decodes all response tokens only at the end.",
  "computation": [
    "diffusion",
    "parallel"
  ],
  "venue": "arXiv",
  "arxiv": "2609.29102",
  "paper_url": "https://arxiv.org/abs/2609.29102",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Zeyu Michael Li",
    "William Xingxu Chen",
    "Bingshuo Qian",
    "Jiayin Liu",
    "Xiang Cheng"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.29102/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-29102",
  "citation_date": "2026-09-24",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.29102/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.29102/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.29102/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.29102/citation.csl.json"
}