{
  "id": "2608.02585",
  "title": "GradCuit: Credit-Assigned Gradient Flow Enables Robust and Interpretable Test-Time Latent Reasoning",
  "authors": "Zhaoxin Yu, Qi Shen, Hengli Li, Zhaowei Zhang, Song-Chun Zhu, Chi Zhang, Zilong Zheng",
  "first_public": "2026-08-03",
  "venue": "arXiv",
  "arxiv": "2608.02585",
  "paper_url": "https://arxiv.org/abs/2608.02585",
  "lens": [
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "test-time-optimization"
  ],
  "questions": [
    "capability",
    "scaling",
    "efficiency",
    "interpretability"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "At test time, adjusts extra hidden states inside the transformer using feedback on generated answers, while keeping the model’s weights fixed.",
  "provenance": "Primary-source literature search, 2026-09-05",
  "author_names": [
    "Zhaoxin Yu",
    "Qi Shen",
    "Hengli Li",
    "Zhaowei Zhang",
    "Song-Chun Zhu",
    "Chi Zhang",
    "Zilong Zheng"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2608.02585/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2608-02585",
  "citation_date": "2026-08-03",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2608.02585/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2608.02585/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2608.02585/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2608.02585/citation.csl.json"
}