{
  "id": "2609.28272",
  "title": "Towards Efficient Reasoning: Learning Causal Shortcuts for Diffusion Language Models",
  "authors": "Dian Jin, Kairong Han, Baohong Li, Xinpeng Dong, Zijing Hu, Nuanqiao Shan, Fei Wu, Kun Kuang",
  "first_public": "2026-09-23",
  "venue": "arXiv",
  "arxiv": "2609.28272",
  "paper_url": "https://arxiv.org/abs/2609.28272",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "diffusion",
    "parallel"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Extracts reasoning-guiding token chains and prioritizes them during diffusion-model training to improve denoising speed and accuracy. This is a related text-generating approach, not reasoning without a written trace.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Dian Jin",
    "Kairong Han",
    "Baohong Li",
    "Xinpeng Dong",
    "Zijing Hu",
    "Nuanqiao Shan",
    "Fei Wu",
    "Kun Kuang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.28272/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-28272",
  "citation_date": "2026-09-23",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.28272/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.28272/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.28272/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.28272/citation.csl.json"
}