Technical Report v1.12: Correction of the Empirically-Detected Texture-Axis Transition Point (σ_stat) — Errata and Supplement to Technical Report v1.10

Errata and supplement to Technical Report v1.10. This document corrects the empirically-detected texture-axis transition point σ_stat reported in Technical Report v1.10 for Upscayl Standard, computed against a database later found to contain a data-integrity bug in its population-filtering logic: a third, more severe variant of a previously-documented join-miss artifact in this database schema, in which a comp_* feature-extraction pass attached a different, non-zero block's values to the wrong row — producing plausible-looking but incorrect numbers that the existing is_comp_zero flag cannot detect, since the resulting value is genuinely non-zero. An independent, from-scratch verification database (no join step at all — every value computed directly from the source images in a single pass) was built for both Upscayl Standard and SwinIR and used to re-derive σ_stat under the exact original methodology, isolating the filter as the sole variable changed. Result: Upscayl Standard's σ_stat is corrected from 0.0800 to 0.101 (+0.021); SwinIR's σ_stat is confirmed unaffected at 0.0800. As a due-diligence cross-check, the luminance-axis statistic μ_stat — which depends on the same is_comp_zero flag via a different (inclusion, not exclusion) usage — was also re-verified for both models and found unaffected (Standard 0.0500, SwinIR 0.0100, unchanged). As an additional cross-check on the new database's own internal correctness, blocks where SSIM(GT,NOTTA)=1.0 and SSIM(GT,TTA)=1.0 hold simultaneously (a case where, by a Pixel Identity theorem, both reconstructions are forced to be pixel-identical to the ground truth, and therefore to each other) were confirmed to match exactly on all eight comp_* features between GT, NOTTA, and TTA, with zero exceptions across 702,108 such blocks (Standard). Both models were verified via live SQL execution against the new databases, screen-recorded (one continuous recording per model) and hash-verified. The complete database schema, verification database build pipeline, and verification SQL are included to enable independent reproduction. Upscayl High-Fidelity and Digital-Art are outside this report's scope. Dataset and Mandatory Citation:- Source: NIH ChestX-ray8 (Hospital-scale chest x-ray database)- Citation: Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., & Summers, R. M. (2017). "ChestX-ray8: Hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thoracic diseases." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3462–3471. - Download: https://nihcc.app.box.com/v/ChestXray-NIHCC Contact : s.shiny.n.works@gmail.com