{
  "abstract": "Observatory bibliographies increasingly need to determine not only whether a facility is named in a paper, but how its data support the scientific argument. We frame this need as semantic contribution attribution on a six-level scale (L0-L5), from non-use and mention-only cases to auxiliary, major, and exclusive data support. We present FacilityAudit-Agent, a framework that builds a page-bounded outline of each PDF, enriches sections with roles and facility mentions, and uses a tool-calling large language model (LLM) to fetch text on demand. Evidence from the sections is combined through an explicit decision tree and a coverage-calibrated confidence score, with uncertain cases routed to human review. The framework supports both single-facility and inventory audits and transfers to new facilities without retraining. On a test set of 39,358 human-annotated paper-facility pairs, FacilityAudit-Agent achieves 89.1% accuracy and 79.8% macro-F1 in single_audit mode, outperforming the other three baselines by 5.8, 8.3, and 12.1 accuracy points, respectively, with the clearest gains at L2 and L5. In inventory_audit mode, it also leads in facility listing and in level assignment among listed pairs. Ablations show multi-hop reading and tree indexing matter most for L3-L5. FacilityAudit-Agent has been deployed at the National Astronomical Data Center, where it is responsible for processing publications related to LAMOST, FAST, and EP.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.32135",
  "author_total": 7,
  "authors": [
    {
      "name": "Wujun Shao"
    },
    {
      "name": "Dongwei Fan"
    },
    {
      "name": "Daoqi Peng"
    },
    {
      "name": "Yunfei Xu"
    },
    {
      "name": "Chenzhou Cui"
    },
    {
      "name": "Xin Lyu"
    },
    {
      "name": "Wei Huang"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5v47pctnmfb50.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.32135",
  "fulltext_url": null,
  "id": "5v47pctnmfb50",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.32135",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "astro-ph.IM"
    ],
    [
      "openalex",
      "1804|scientometrics and bibliometrics research"
    ]
  ],
  "openalex": "W7223687843",
  "pdf_url": "https://arxiv.org/pdf/2610.32135",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5v47pctnmfb50.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:35:15Z",
      "native_id": "2610.32135",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.32135"
    }
  ],
  "subjects": [
    {
      "field": "astronomy",
      "origin": "arxiv:astro-ph.IM",
      "subfield": "instrumentation-methods"
    }
  ],
  "title": "FacilityAudit-Agent: Beyond Mention-as-Usage for Fine-Grained Facility Contribution Attribution in Astrophysics Publications",
  "title_text": "FacilityAudit-Agent: Beyond Mention-as-Usage for Fine-Grained Facility Contribution Attribution in Astrophysics Publications",
  "type": "preprint",
  "updated_at": "2026-10-30T12:35:15Z",
  "url": "https://research.draconitic.com/paper/5v47pctnmfb50",
  "venue": "arXiv",
  "versions": []
}