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stereotypes</news:title></news:news></url><url><loc>https://chiosa.app/papers/when-to-ask-for-help-a-decision-theoretic-account-and-measurement-standard-for-slow-module-scheduling-in-dual-2610-21160</loc><news:news><news:publication><news:name>Chiosa</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-29T11:00:41Z</news:publication_date><news:title>A value rule explains when slow corrections are worth their cost</news:title></news:news></url><url><loc>https://chiosa.app/papers/where-does-the-performance-go-understanding-and-recovering-performance-regressions-in-c-to-rust-translation-2610-23044</loc><news:news><news:publication><news:name>Chiosa</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-10-29T11:00:41Z</news:publication_date><news:title>PerfR turns recurring C-to-Rust slowdowns into reusable rules</news:title></news:news></url></urlset>
