recode: robustness evaluation of code generation models — search2

Trajectory projection for recode: robustness evaluation of code generation models. Data-driven prediction with confidence intervals, methodology transparency, and historical accuracy scoring.

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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).

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