{
  "id": "2609.20398",
  "title": "Schema-Anchored Latent Reasoning for Semantic Parsing-Based Knowledge Base Question Answering",
  "authors": "Guangze Gao, Zixuan Li, Sikui Zhang, Chunfeng Yuan, Wenjuan Li, Bing Li, Xiaolong Jin, Weiming Hu",
  "first_public": "2026-09-17",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2609.20398",
  "paper_url": "https://arxiv.org/abs/2609.20398",
  "lens": [
    "continuous"
  ],
  "representation": [
    "continuous-state"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "capability",
    "interpretability"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Aligns continuous thoughts with a codebook of knowledge-base relations and classes, using schema traces derived from correct logical forms. Feeds the aligned codes into later reasoning steps before generating an executable query.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Guangze Gao",
    "Zixuan Li",
    "Sikui Zhang",
    "Chunfeng Yuan",
    "Wenjuan Li",
    "Bing Li",
    "Xiaolong Jin",
    "Weiming Hu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2609.20398/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2609-20398",
  "citation_date": "2026-09-17",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2609.20398/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2609.20398/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2609.20398/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2609.20398/citation.csl.json"
}