Claude
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402d5dccd8
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feat: ETL pipeline with sublinear ForwardPush PPR for cross-domain discovery
Three-stage pipeline (Extract → Transform → Load) using ruvector-solver:
- Extract: loads 460+ discoveries from 48 JSON data sources
- Transform: embeds into 64-dim vectors, builds 8-NN sparse graph,
runs ForwardPush PPR (sublinear O(1/ε), Andersen-Chung-Lang 2006)
- Load: outputs ranked cross-domain correlations + 12×12 domain matrix
New data sources from parallel explorer swarms:
- Humanities: Harvard Art, Library of Congress, Open Library, Nobel, Smithsonian
- Genetics/Env: ClinVar variants, GBIF endangered, EPA air, marine, satellite fires
- Tech/Infra: GitHub trending, Hacker News, SpaceX, ISS, crypto/forex markets
Novel discoveries found by PPR:
- Technology→Earth climate correlation (equatorial weather patterns)
- Technology→Space-science link (ultra-short period brown dwarf)
- Life-science→Academic (agentic AI + GPCR drug discovery bridge)
https://claude.ai/code/session_01UWE22wnsZRSHKhT4h4Axby
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2026-03-16 23:17:00 -04:00 |
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