{
  "id": "2610.29385",
  "title": "Parallelizable Probabilistic Latent Reasoning for Diverse Reasoning Trajectories",
  "authors": "Seokhyun Lee, Seongjun Lee, Changhee Lee",
  "first_public": "2026-10-21",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.29385",
  "paper_url": "https://arxiv.org/abs/2610.29385",
  "html_url": "https://arxiv.org/html/2610.29385v2",
  "code_url": "https://github.com/nshuhsn/PLRM",
  "lens": [
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "token-wise",
    "parallel"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "efficiency",
    "architecture"
  ],
  "evidence": [
    "empirical",
    "formal"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Learns probability distributions over continuous reasoning steps from written reasoning traces, with parallel teacher-forced training. A mixture of latent strategies lets the model sample different solution paths before producing an answer.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Seokhyun Lee",
    "Seongjun Lee",
    "Changhee Lee"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.29385/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-29385",
  "citation_date": "2026-10-21",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.29385/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.29385/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.29385/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.29385/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.29385"
}