Evidence analysis for codegen: an open large language model for code with multi-turn program synthesis. Supporting and contradicting evidence presented side-by-side with full provenance from independent sources.
Results synthesized from web crawls, academic citations (Semantic Scholar), patent filings (USPTO), corporate ownership records (SEC EDGAR, Companies House), software dependency graphs (npm, PyPI, crates.io), infrastructure records (DNS, TLS certificates, IP ranges), temporal archives (Wayback Machine), government datasets (Data.gov), and conversational sources (Hacker News, Reddit).