{
  "id": "2609.27220",
  "title": "LOCKR: A Hidden-State Trajectory-Guided Planner for Detecting and Repairing Stable-but-Wrong Lock-In in Diffusion Language Models",
  "authors": "Guoshenghui Zhao, Tan Yu, Weijie Zhao",
  "first_public": "2026-09-23",
  "lens": [
    "analysis",
    "beyond-sequential"
  ],
  "representation": [
    "hidden-state",
    "discrete-token"
  ],
  "training": [
    "supervised",
    "inference-only"
  ],
  "questions": [
    "evaluation",
    "interpretability",
    "capability"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Uses the history of diffusion hidden states to detect answers that become stable but remain wrong. A planner selects targeted repair branches and verifies continuations, testing whether these internal trajectories support better repair decisions than confidence or a single snapshot.",
  "computation": [
    "diffusion",
    "search"
  ],
  "venue": "arXiv",
  "arxiv": "2609.27220",
  "paper_url": "https://arxiv.org/abs/2609.27220",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Guoshenghui Zhao",
    "Tan Yu",
    "Weijie Zhao"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.27220/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-27220",
  "citation_date": "2026-09-23",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.27220/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.27220/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.27220/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.27220/citation.csl.json"
}