RT-SETI: Statistical Validation of Reconstruction-Stability Candidates A Null-Hypothesis and Morphological Validation Architecture for the Return Theory (RT) SETI Programme

This repository contains the paper and complete reproducibility package for: RT-SETI: Statistical Validation of Reconstruction-Stability Candidate Selection Through Null Benchmarking and Morphological Adjudication RT-SETI is an observational reconstruction framework developed within Return Theory (RT). The framework does not attempt to identify extraterrestrial intelligence directly. Instead, it investigates whether candidate signals remain stable under a family of reconstruction transformations motivated by observer-embedded temporal reconstruction. The central premise of RT-SETI is that observational accessibility is not determined solely by physical signal existence, but also by reconstruction stability. Signals that remain coherent under reconstruction transformations are considered observationally robust, whereas unstable signals are progressively rejected. This repository presents the statistical validation stage of the RT-SETI programme and includes both the scientific manuscript and the complete computational implementation used to generate the reported results. The validation pipeline is organized as a sequential candidate-selection architecture: • Large-scale candidate generation from observational data • Blind reconstruction-stability filtering • Multi-stage robustness validation • Null-hypothesis statistical benchmarking • Morphological adjudication and follow-up prioritization The primary focus of this repository is the final validation framework: Stage 8 — Null-Hypothesis Statistical Benchmarking A synthetic null population was generated using multiple classes of non-target signals, including: • Gaussian noise • Colored noise • Narrowband drift structures • Broadband burst signals • Intermittent transient signals • Synthetic RFI-like populations Candidate populations were evaluated against these null distributions using empirical significance measures, percentile ranking, and combined reconstruction-stability statistics. Stage 9 — Morphological Adjudication Following statistical benchmarking, candidate populations were subjected to morphology-based evaluation using: • reconstruction-stability behavior • shift-sequence structure • sign-locking statistics • run-length analysis • artifact indicators • reconstruction robustness metrics The resulting framework provides a conservative prioritization system that separates statistically interesting candidates from artifact-dominated populations while maintaining a strict distinction between candidate ranking and any claim of extraterrestrial origin. The complete validation sequence reduces a large observational candidate population to a small set of statistically validated follow-up targets that survive both null benchmarking and strict morphology-based adjudication. No detection claim is made in this work. The results should be interpreted as a reproducible statistical validation and candidate-prioritization framework operating within the RT-SETI observational reconstruction paradigm. Repository contents • RT-SETI: Statistical Validation (paper) • RT-SETI: Statistical Validation — Code Listing & Reproducibility Package • Statistical validation outputs • Candidate-ranking tables • Morphological adjudication results • Follow-up prioritization products • Figures and supporting materials • Complete source code required for independent reproduction This repository is intended to provide a fully reproducible statistical validation framework for reconstruction-stability-based signal analysis and follow-up prioritization within the broader Return Theory research programme