{
  "id": "2610.28540",
  "title": "Predictive Latents for Autoregressive Language Models: Possibility, Gauge, and Obstruction",
  "authors": "Yuzhou Hong",
  "first_public": "2026-10-20",
  "added_at": "2026-10-22",
  "venue": "arXiv",
  "arxiv": "2610.28540",
  "paper_url": "https://arxiv.org/abs/2610.28540",
  "html_url": "https://arxiv.org/html/2610.28540v1",
  "lens": [
    "analysis"
  ],
  "representation": [
    "continuous-state",
    "hidden-state"
  ],
  "computation": [
    "depth-wise",
    "recurrent"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "theory",
    "limitations"
  ],
  "evidence": [
    "formal"
  ],
  "modality": [
    "language"
  ],
  "summary": "Studies when predicting the next hidden state preserves information needed for next-token prediction. Gives conditions and counterexamples showing why good one-step predictions need not yield reliable multi-step hidden-state rollouts.",
  "provenance": "Primary-source literature review, 2026-10-22",
  "author_names": [
    "Yuzhou Hong"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.28540/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-28540",
  "citation_date": "2026-10-20",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.28540/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.28540/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.28540/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.28540/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.28540"
}