{
  "id": "2610.18547",
  "title": "Input-Conditioned Search for Efficient Test-Time Scaling of Recursive Reasoners",
  "authors": "Haochen Shi, Tianwen Fu, Qianggang Ding, Yinhan Lu, Yizhan Li, Huan Zhang, Yajie Zhao, Xingdi Yuan, Hengyang Lu, Bang Liu",
  "first_public": "2026-10-13",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.18547",
  "paper_url": "https://arxiv.org/abs/2610.18547",
  "lens": [
    "recurrent"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "recurrent",
    "search"
  ],
  "training": [
    "inference-only"
  ],
  "questions": [
    "efficiency",
    "theory",
    "capability"
  ],
  "evidence": [
    "empirical",
    "formal"
  ],
  "modality": [
    "symbolic"
  ],
  "summary": "Searches over input conditions to change a recursive reasoner's update rule without retraining it. Tests whether these alternative updates can redirect a trajectory away from an incorrect solution, rather than only adding more steps or perturbing its state.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Haochen Shi",
    "Tianwen Fu",
    "Qianggang Ding",
    "Yinhan Lu",
    "Yizhan Li",
    "Huan Zhang",
    "Yajie Zhao",
    "Xingdi Yuan",
    "Hengyang Lu",
    "Bang Liu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.18547/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-18547",
  "citation_date": "2026-10-13",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.18547/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.18547/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.18547/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.18547/citation.csl.json"
}