{
 "sources": {
  "edgar": {
   "name": "U.S. SEC EDGAR company-facts XBRL API",
   "kind": "measured",
   "url": "https://data.sec.gov/",
   "note": "Audited annual filings (10-K/20-F/40-F)."
  },
  "fred": {
   "name": "Federal Reserve Bank of St. Louis (FRED)",
   "kind": "measured",
   "url": "https://fred.stlouisfed.org/",
   "note": "IMF commodity prices and producer-price indexes."
  },
  "bls": {
   "name": "U.S. Bureau of Labor Statistics Public Data API",
   "kind": "measured",
   "url": "https://www.bls.gov/data/",
   "note": "CPI-U, average hourly earnings, industry PPIs, import price indexes."
  },
  "aipnet": {
   "name": "AIPNET \u2014 AI-generated Production Network",
   "kind": "ai-generated",
   "url": "https://aipnet.io",
   "paper": "https://aipnet.io/wp-content/paper/ai_generated_production_networks_aipnet_v20241118.pdf",
   "authors": "Fetzer, Lambert, Feld & Garg (2024)",
   "citation": "Fetzer, T., Lambert, P. J., Feld, B., & Garg, P. (2024). AI-Generated Production Networks: Measurement and Applications to Global Trade.",
   "license": "Academic / non-commercial research use with attribution.",
   "note": "AI-generated knowledge graph of HS-product input->output links; model-predicted, not measured trade."
  },
  "project": {
   "name": "Industrial Materials & Corporate Dependency Register (this project)",
   "kind": "editorial",
   "url": "methodology.html#sources",
   "note": "Curated material taxonomy, flow edges, company-material tags and derived aggregates \u2014 editorial estimates."
  }
 },
 "note": "Provenance manifest for all data on this site. Each generated file under data/ also carries an inline _provenance block. Measured = reported/official; ai-generated = model output (cite the authors); editorial = this project's estimates."
}