The Hubble Tension - The Precision Cascade Cosmology Series: Collected Papers, Datasets, and Reproducibility Framework

Abstract This record provides a consolidated archival entry point for the six-paper Precision Cascade Cosmology research series authored by Daniel Jeffrey and published on Zenodo between 2025 and 2026. The series presents a systematic resolution of the Hubble constant tension through explicit correlation synthesis and demonstrates a cascade of subsequent discovery-level results across cosmological parameter inference, dark-matter microphysics, cosmic geometry, and universal-scale tests of general relativity. This publication aggregates the complete peer papers (Papers I–VI) alongside a formal series overview document that enumerates all associated datasets and reproducibility resources. Extended datasets for Papers I–V are published separately as static, human-readable mirrors of forthcoming machine-readable archives. A fully machine-verifiable, audit-grade reproducibility package has been released for Paper I and is referenced herein. This record is intended to serve as a permanent series-level reference hub, linking the full Precision Cascade Cosmology program, its datasets, and its verification materials for citation, inspection, and long-term preservation. Description This Zenodo record constitutes the definitive series-level archive for the Precision Cascade Cosmology research program. Included in this record Series Overview and Reproducibility Statement (cover document) Six complete research papers (PDFs): Resolving the Hubble Tension Through Systematic Correlation AnalysisDOI: https://doi.org/10.5281/zenodo.17345276 Beyond the Hubble Tension: The Precision CascadeDOI: https://doi.org/10.5281/zenodo.17308793 The Complete Cosmic BlueprintDOI: https://doi.org/10.5281/zenodo.17379338 Dark Matter Microphysics — Detection of Self-Interactions and Cosmic ConsequencesDOI: https://doi.org/10.5281/zenodo.17438138 Einstein Validated at the Ultimate ScaleDOI: https://doi.org/10.5281/zenodo.17561615 AI-Assisted Discovery — A New Scientific MethodologyDOI: https://doi.org/10.5281/zenodo.17625687 Associated extended datasets (published separately) Paper I Dataset — https://doi.org/10.5281/zenodo.17403920 Paper II Dataset — https://doi.org/10.5281/zenodo.17429407 Paper III Dataset — https://doi.org/10.5281/zenodo.17608267 Paper IV Dataset — https://doi.org/10.5281/zenodo.17823193 Paper V Dataset — https://doi.org/10.5281/zenodo.17655000 These datasets are intentionally released as static, human-readable mirrors (CSV, Markdown, linearized notebooks) of forthcoming machine-readable archives. All data tables, code listings, validation logic, and analytical steps are fully visible for inspection, without binary dependencies, hidden execution paths, or proprietary tooling. Machine-verifiable reproducibility (Paper I) A complete audit-grade reproducibility archive for Paper I is available at:https://doi.org/10.5281/zenodo.17509082 This archive contains the full scientific source package, validation scripts, audit logs, and an independent verifier confirming complete computational reproducibility and consistency with published results. Purpose of this record This upload does not replace the individual paper or dataset records. Instead, it functions as a series-level archival hub, providing stable contextual linkage between papers, datasets, and reproducibility materials for readers, reviewers, and long-term repositories. Keywords Precision cosmologyHubble tensionSystematic correlation analysisDark matter self-interactionsCosmic geometryGeneral relativityReproducible researchAI-assisted discoveryCosmological parameter inferenceOpen science Creators Daniel JeffreyIndependent ResearcherORCID: 0009-0006-8484-3575 Role: Author · Researcher · Data curator