{
  "id": "2609.37351",
  "title": "Port-Hamiltonian Latent Deliberation: Mitigating the Deliberation Drift Cliff in Test-Time Compute Scaling",
  "authors": "Zeyu Jia",
  "first_public": "2026-09-29",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.37351",
  "paper_url": "https://arxiv.org/abs/2609.37351",
  "summary": "Separates hidden-state updates into attracting and rotating components to reduce errors from running a recurrent reasoner for more steps. Tests a tensor-based implementation on logical and multi-hop reasoning tasks.",
  "lens": [
    "recurrent",
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "recurrent"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "theory",
    "generalization",
    "limitations",
    "efficiency"
  ],
  "evidence": [
    "formal",
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Zeyu Jia"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.37351/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-37351",
  "citation_date": "2026-09-29",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.37351/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.37351/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.37351/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.37351/citation.csl.json"
}