On the Pubmed public split, SGC reports 78.9% mean test accuracy, close to the authors' 79.0% GCN result; Table 2 reports all listed baselines.

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The paper does not report its historical seed sequence; this reproduction used the predeclared seeds 42-51, so dispersion and exact means need not match the authors' unknown runs. · The bundled fixed graph dictionaries materialize 5,278/4,676/44,327 unique undirected Cora/Citeseer/Pubmed edges, while paper Table 1 prints 5,429/4,732/44,338; node counts and public split sizes match and no substitute data were used. · The fixed official citation.py evaluates in process and does not persist model weights, so per-run observations and complete logs are retained but no checkpoint artifact exists. · The historical hyperopt search was intentionally not rerun under the signed protocol; 60 iterations were verified from paper and fixed tuning.py, and released tuned files were used. · Execution used the available modern CPU environment (PyTorch 2.8.0) rather than the historical PyTorch 1.x-era environment; the fixed code ran without metric failures, with expected isolated-row and sparse-constructor warnings retained in logs. · The independent AI scientific assessor is unavailable. Numeric evidence is preserved, and CiteArk does not fall back to a fixed-threshold verdict. · This execution covers only part of the compound claim; unassessed measurements: m-t2-pub-gcn-lit, m-t2-pub-gat-lit, m-t2-pub-gln-lit, m-t2-pub-agnn-lit, m-t2-pub-lnet-lit, m-t2-pub-adalnet-lit, m-t2-pub-deepwalk-lit, m-t2-pub-dgi-lit, m-t2-pub-gcn-own, m-t2-pub-gat-own, m-t2-pub-fastgcn-own, m-t2-pub-gin-own, m-t2-pub-lnet-own, m-t2-pub-adalnet-own, m-t2-pub-dgi-own.