Supplementary data and statistical reproducibility materials for Governing Algorithm-Assisted Intellectual Property Licensing Revenue Allocation

This anonymous peer-review record contains frozen synthetic run-level outputs and statistical reproducibility materials for a study of governance safeguards in algorithm-assisted intellectual property licensing revenue allocation. The package includes 240 run-level records and 120 matched seed-level pairs. It also includes paired contrasts, robustness and equivalence-sensitivity outputs, secondary-outcome summaries, configuration files, analysis code, a data dictionary, environment information, manifests, and checksums. The materials support validation and statistical regeneration from archived outputs only. The unavailable original model-training source tree is not included. The package contains no observed licensing revenue, negotiated royalties, firm outcomes, personal data, or public-data calibration.