Advanced Goldbach Toolkits — Prime-Sum Diagnostics (CSV)

EN — DescriptionThis dataset accompanies the preprint Advanced Goldbach Toolkits and provides numerical diagnostics for the binary Goldbach problem. The CSV aggregates and/or samples outputs from our certified pipeline: counts G(n)G(n)G(n), Hardy–Littlewood main-term estimates S(n) n/(log⁡n)2S(n)\,n/(\log n)^2S(n)n/(logn)2, fit ratios, short-interval variance indicators, residue-class information (mod 210), and risk scores R(n)R(n)R(n) to prioritize “hard cases.” Column semantics and usage examples are described in the project README and the Methods section of the preprint.License: CC0 1.0 to encourage reuse and independent replication.Links: this dataset is marked as Supplement to the Zenodo record for Advanced Goldbach Toolkits. Suggested keywords / Mots-clés: Goldbach; prime pairs; Hardy–Littlewood; Bombieri–Vinogradov; Elliott–Halberstam; short intervals; variance; residue classes; reproducibility; CSV.