{
  "id": "2611.05345",
  "title": "Adversarial Speculative Reasoning Improves Long Horizon Agents",
  "authors": "Hongyin Luo, Wei Fang, Lijie Yang, Owen Stepan, Daniel Suit, Jeff Krapf, Dana Wensberg, Jack O'Brien",
  "first_public": "2026-11-03",
  "added_at": "2026-11-09",
  "venue": "arXiv",
  "arxiv": "2611.05345",
  "paper_url": "https://arxiv.org/abs/2611.05345",
  "html_url": "https://arxiv.org/html/2611.05345v1",
  "lens": [
    "beyond-sequential",
    "analysis"
  ],
  "representation": [
    "cache-memory",
    "discrete-token"
  ],
  "computation": [
    "parallel"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "evaluation",
    "controllability",
    "efficiency"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Measures how numerical errors accumulate across speculative verification blocks. Trains a draft model to trigger rejection near decisions in a written reasoning trace, restarting verification where cache entries are computed with higher precision.",
  "provenance": "Primary-source literature review, 2026-11-09",
  "author_names": [
    "Hongyin Luo",
    "Wei Fang",
    "Lijie Yang",
    "Owen Stepan",
    "Daniel Suit",
    "Jeff Krapf",
    "Dana Wensberg",
    "Jack O'Brien"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2611.05345/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2611-05345",
  "citation_date": "2026-11-03",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2611.05345/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2611.05345/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2611.05345/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2611.05345/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2611.05345"
}