{
  "id": "2503.07604",
  "title": "Implicit Reasoning in Transformers is Reasoning through Shortcuts",
  "authors": "Tianhe Lin, Jian Xie, Siyu Yuan, Deqing Yang",
  "first_public": "2025-03-10",
  "venue": "arXiv",
  "arxiv": "2503.07604",
  "paper_url": "https://arxiv.org/abs/2503.07604",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "limitations"
  ],
  "evidence": [
    "empirical",
    "boundary"
  ],
  "modality": [
    "symbolic"
  ],
  "summary": "Tests whether apparent implicit multi-step reasoning reflects compositional algorithms or learned shortcuts, emphasizing failure modes under distribution shift.",
  "provenance": "Awesome-Latent-CoT",
  "author_names": [
    "Tianhe Lin",
    "Jian Xie",
    "Siyu Yuan",
    "Deqing Yang"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2503.07604/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2503-07604",
  "citation_date": "2025-03-10",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2503.07604/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2503.07604/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2503.07604/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2503.07604/citation.csl.json"
}