Annual-Report Technology Visibility and Reported Operational-Use Measures: Anonymous Review Data and Reproducibility Code

Anonymous peer-review materials for a study of annual-report technology visibility and reported operational-use evidence in Chinese listed manufacturing firms (2020–2025). The archive contains 5,888 firm-year research measures for 993 companies, 700 human report labels, 238 adjacent-year comparisons, five-fold assignments, a source lookup index, saved bootstrap coefficients, temporal predictions and executable Python code. Public diagnostics recalculate measurement statistics and saved prediction results without third-party financial data. Nine regression specifications can be re-estimated only with separately obtained, authorized and compatible financial controls. Annual-report PDFs, OCR/full text, financial-provider observations and internal records are not included. The archive alone does not support source-PDF end-to-end reproduction or complete classifier retraining. Original code is MIT licensed; original annotations, derived measures, outputs and documentation are CC BY 4.0 as scoped in LICENSE.md. No third-party source rights are granted. Author identities are withheld for anonymous review.