{
  "id": "2610.06666",
  "title": "What Matters for Latent Reasoning with Flow Matching",
  "authors": "Yassine Ouali, Adrian Bulat, Georgios Tzimiropoulos",
  "first_public": "2026-10-05",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.06666",
  "paper_url": "https://arxiv.org/abs/2610.06666",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "parallel",
    "diffusion"
  ],
  "training": [
    "supervised",
    "self-training"
  ],
  "questions": [
    "capability",
    "efficiency",
    "interpretability",
    "evaluation"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Compresses symbolic reasoning into latent codes and trains a flow model to refine a block of noise into a thought before decoding the answer. Studies training choices, self-training on verified thoughts, and tests of whether the answer actually uses those thoughts.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Yassine Ouali",
    "Adrian Bulat",
    "Georgios Tzimiropoulos"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.06666/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-06666",
  "citation_date": "2026-10-05",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.06666/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.06666/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.06666/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.06666/citation.csl.json"
}