{
  "id": "2610.19080",
  "title": "Backpropagating Verifier Rewards Through Continuous Flow Language Models",
  "authors": "Xu Han, Jiajing Hu, Li-Ping Liu",
  "first_public": "2026-10-13",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state"
  ],
  "training": [
    "reinforcement-learning"
  ],
  "questions": [
    "capability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Trains a critic to score intermediate continuous token representations, enabling reward gradients through the denoising trajectory before final discrete decoding. Evaluates this post-training approach on four reasoning tasks.",
  "computation": [
    "diffusion"
  ],
  "venue": "arXiv",
  "arxiv": "2610.19080",
  "paper_url": "https://arxiv.org/abs/2610.19080",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Xu Han",
    "Jiajing Hu",
    "Li-Ping Liu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.19080/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-19080",
  "citation_date": "2026-10-13",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.19080/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.19080/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.19080/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.19080/citation.csl.json"
}