SOCrebuttal — Soil Organic Carbon Mapping (Geoderma rebuttal artifacts) Architecture comparison, production maps, and supporting analyses for Bavaria wide soil organic carbon mapping at LUCAS data scale (~16,360 samples). Published as the artifact bundle accompanying the manuscript revision. Headline finding A lightweight (~215k parameter) CNN + Transformer hybrid is the recommended architecture at this data scale (Vanilla in the comparison table): +0.23 R² gain from the CNN spatial encoder over a parameter matched transformer alone baseline (Lightweight). 4× lower cross fold variance than transformer alone. ~3× faster convergence (median best epoch 7 8 vs 20). No measurable benefit from the gated residual mechanism on top of CNN+Transformer (SGT and Vanilla tie at matched hyperparameters; SGT is 1.7× larger for no R² gain). 30× larger pure transformer (SimpleTransformerV2, 11M params) matches Vanilla in mean R² but offers no other advantages. See final models/maps comparison 2023.png for the cross architecture production map figure, and final models/maps comparison 2023 rebal.png for the KDE rebalanced training variant. Repository structure sweep/ — Spatial CV k fold sweep RESULTS…
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