{
  "id": "2609.16372",
  "title": "Register Tokens for Bounded-State Reasoning in Diffusion Language Models",
  "authors": "Albert Ge, Chandan Singh, Yufan Zhuang, Xiaodong Liu, Jianfeng Gao, Frederic Sala",
  "first_public": "2026-09-14",
  "venue": "arXiv",
  "arxiv": "2609.16372",
  "paper_url": "https://arxiv.org/abs/2609.16372",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state",
    "discrete-token"
  ],
  "computation": [
    "diffusion",
    "stateful"
  ],
  "training": [
    "supervised",
    "reinforcement-learning"
  ],
  "questions": [
    "architecture",
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Trains a diffusion language model to carry a fixed number of continuous register states between generated chunks. The model still writes text within each chunk, but clears earlier text and continues from the prompt and retained registers.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Albert Ge",
    "Chandan Singh",
    "Yufan Zhuang",
    "Xiaodong Liu",
    "Jianfeng Gao",
    "Frederic Sala"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.16372/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-16372",
  "citation_date": "2026-09-14",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.16372/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.16372/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.16372/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.16372/citation.csl.json"
}