paperPDL1_precision_cascade_pack_v1.1.0_flagship_release_candidate: Precision Cascade Reproducibility Archive for "Precision Mapping of Multi-Assay Biomarker Disagreements via Structural Eigenanalysis"

This archive is the official Precision Cascade reproducibility package accompanying: "Precision Mapping of Multi-Assay Biomarker Disagreements via Structural Eigenanalysis: A Proof-of-Framework Deployment of the Precision Mapping Engine in PD-L1 Immunohistochemistry." The archive implements the complete Precision Mapping Engine (PME) analysis under Precision Cascade governance. PME provides the scientific analysis layer; Precision Cascade provides deterministic execution, provenance preservation, reproducibility controls, validation pathways, and audit infrastructure. Contents include: • provenance-encoded measurement datasets• provenance-binding matrices• deterministic PME execution pathways• structural overlap generation• eigendecomposition workflows• fracture-stability laboratories• residual reconstruction diagnostics• harmonisation analyses• prediction validation contracts• manuscript concordance matrices• claim contracts• invariant contracts• figure-regeneration pipelines• clean-room rebuild protocols• adversarial stress-testing suites• golden outputs• checksum manifests• root-hash verification infrastructure The archive is designed to permit independent reconstruction of the complete PME analysis from archived inputs alone. Users may regenerate principal outputs, validate structural decompositions, reproduce figures, execute fracture analyses, verify concordance mappings, and test archive integrity through automated audit pathways. This release represents the flagship Precision Cascade implementation accompanying the PD-L1 PME framework paper and serves as the reference reproducibility object for future Precision Discovery Engine (PDE) development within the broader Precision Cascade research programme.