Precision Cascade-Governed PME Reproducibility Archive for Source-Audited Giant-Planet Occurrence Structure

This archive is the companion reproducibility package for Paper 6D: Precision Mapping of Source-Audited Giant-Planet Occurrence Structure via Structural Eigenanalysis. It implements the completed v1.5.0 Precision Cascade-governed PME reproducibility release corresponding to the source-audited Paper 6D manuscript. The archive was built from the revised v1.1.0 source-audited manuscript, rather than the retired provisional v1.0.0 17-row dataset. The archive deterministically reproduces the full numerical and governance spine of the paper, including the source-audited input table, 9 × 30 provenance matrix, declared structural layer weights, structural overlap matrix, log-occurrence tension vector, eigensystem, fracture stability diagnostics, golden outputs, machine-readable claim contracts, manuscript concordance matrix, residual diagnostics, asymmetric-uncertainty sensitivity checks, source-tier firewall, retired-claim firewall, copyright/source-reuse compliance audit, checksum manifest, and root-hash chain of custody. The archive validates the principal Paper 6D results: the clean hot-giant diagnostic of 0.56 ± 0.08%, the outer/snowline giant diagnostic of 14.0 ± 1.3%, the hot-to-outer occurrence ratio of 4.0 ± 0.7%, and the three-axis PME structural map explaining 89.3% of structural covariance. These results are reproduced from the declared source-audited numerical spine and provenance architecture rather than from a forced consensus occurrence-rate synthesis. The primary validation path is: python validation/copyright_source_reuse_audit.py python validation/final_release_gate.py python referee/run_referee_validation.py A successful run confirms deterministic regeneration of archive outputs, validation of machine-readable claim contracts, enforcement of the Tier A/B/C source boundary, enforcement of the retired Roman-prediction firewall, and verification that the public archive does not redistribute third-party PDFs, publisher figures, screenshots of source tables, or copied full source tables. The archive is compliance-safe by design. Source papers are cited and identified through source locators, source cards, and provenance metadata, while the deposited files consist of original code, structured source-value extractions, derived matrices, generated figures, validation outputs, governance records, and audit artefacts. The archive licence applies only to original archive materials created by the author; third-party publications and cited works remain the property of their respective rights holders. Abstract This release provides the companion Precision Cascade-governed Precision Mapping Engine reproducibility archivefor Paper 6D, a source-audited analysis of giant-planet occurrence structure across transit photometry, radial-velocity surveys, direct imaging, and microlensing. The archive implements the completed v1.5.0 reproducibility package for the Paper 6D source-audited manuscript. It reproduces the nine-row numerical PME spine, the 9 × 30 provenance matrix, declared layer weights, structural overlap matrix, log-occurrence tension vector, eigendecomposition, fracture stability tests, golden outputs, residual diagnostics, manuscript concordance matrix, and machine-readable claim contracts. The release validates the principal Paper 6D numerical claims: direct hot-giant anchors yield 0.56 ± 0.08%, source-direct outer/snowline giant anchors yield 14.0 ± 1.3%, and the hot-to-outer occurrence ratio is 4.0 ± 0.7%. The PME structural eigensystem identifies three dominant axes explaining 89.3% of structural covariance, corresponding to outer/snowline long-baseline radial-velocity structure, Kepler/transit inner-giant structure, and a subdominant hot/inner separation axis. The archive includes deterministic validation scripts, a referee quick path, checksum/root-hash chain of custody, source-tier and retired-claim firewalls, asymmetric-uncertainty sensitivity checks, figure regeneration outputs, and a copyright/source-reuse compliance audit. It is designed to support reproducibility without redistributing third-party source papers, publisher figures, screenshots of source tables, or copied full source tables. Keywords Precision Cascade; Precision Mapping Engine; reproducibility archive; computational reproducibility; exoplanets; giant planets; planet occurrence rates; structural eigenanalysis; structural covariance; provenance matrix; provenance mapping; source-audited data; fracture stability; golden outputs; claim contracts; manuscript concordance; compliance-safe archive; Zenodo; radial velocity; transit photometry; microlensing; direct imaging