Reproducibility Archive: UIS Framework, Page–CP Theorem, and Informational Tensor Pipelines (v1.0)

This repository contains the full reproducibility package accompanying the manuscript “Informational Tensor Dynamics and Unified Scaling Across Gravitational-Wave, Shadow, and Echo Channels”. The archive provides all numerical scripts, processing pipelines, and data products required to reproduce the results reported in the paper, including the finite-memory Volterra evolution of the informational tensor , the Page–CP correspondence tests, and the derivation and evaluation of the Unified Informational Scaling (UIS) relations. The package includes: 1. Core Python modules implementing the slow-sector Volterra kernel, KMS-weighted inner products, the informational flux scalar , CP-divisibility diagnostics, and the reconstruction of the informational tensor . 2. UIS evaluation scripts for computing quasi-normal-mode frequency shifts, black-hole shadow deformations, and echo time delays,using the dimensionless susceptibilities , , and . 3. GW150914-like test dataset and a complete workflow reproducing all figures reported in the manuscript, including uncertainty estimates and numerical stability checks. 4. Automated build and verification utilities, enabling strict reproducibility of all numerical outputs, with SHA-256 checksums and environment specifications. This release (v1.0.0) serves as the initial reproducibility version intended for peer review in Classical and Quantum Gravity (CQG). All files in this archive can be executed independently of the manuscript, and the structure of the package mirrors the organization of the theoretical and numerical sections of the paper.