{
  "id": "2611.08977",
  "title": "Energy-Based Reasoners: Your Recurrent Reasoner Should Be an Energy-Based Model",
  "authors": "William Xingxu Chen, Alexi Gladstone, Zeyu Michael Li, Heng Ji, Yilun Du",
  "first_public": "2026-11-06",
  "added_at": "2026-11-09",
  "venue": "arXiv",
  "arxiv": "2611.08977",
  "paper_url": "https://arxiv.org/abs/2611.08977",
  "html_url": "https://arxiv.org/html/2611.08977v1",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "continuous-state",
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "search"
  ],
  "training": [
    "supervised",
    "test-time-optimization"
  ],
  "questions": [
    "architecture",
    "capability",
    "controllability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "symbolic"
  ],
  "summary": "Refines puzzle-solving states by descending a learned energy function. Trains convergence to track answer correctness and supervises the best-matching trajectories when a problem has several valid solutions.",
  "provenance": "Primary-source literature review, 2026-11-09",
  "author_names": [
    "William Xingxu Chen",
    "Alexi Gladstone",
    "Zeyu Michael Li",
    "Heng Ji",
    "Yilun Du"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2611.08977/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2611-08977",
  "citation_date": "2026-11-06",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2611.08977/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2611.08977/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2611.08977/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2611.08977/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2611.08977"
}