Cosmic Diaspora Hypothesis: A Structural Analysis Framework on Cosmic Life Diffusion, Civilization Evolution, and Extraterrestrial Phenomena

**Abstract** This work introduces the **Cosmic Diaspora Hypothesis**, a structural framework that explores the statistical distribution of life in the universe and proposes a systematic reinterpretation of contemporary “alien” phenomena through physically grounded models. The framework addresses three interconnected questions. First, under the premise that the probability of abiogenesis is not vanishingly small, the emergence and diffusion of life across the universe may represent a statistically expected outcome rather than a rare anomaly. Second, phenomena commonly grouped under the semantic label “alien” are re-examined using a **seven-category multi-source classification model**, replacing the conventional single-species narrative with a set of independently testable origin pathways. Third, assuming the possible existence of advanced technological civilizations, the framework derives **plausible engineering and physical characteristics** of potential civilization infrastructure, including base-site selection, stealth strategies, and high-density energy systems consistent with known physics. To enable empirical evaluation, the study introduces several analytical components: • **Bayesian prior assessment tables** estimating plausibility ranges for each sub-model • **Instrument-threshold detection matrices** comparing predicted observable signatures with current and near-future observational capabilities • **Falsifiable observational pathways**, including subsurface imaging, deep-sea scanning, gravitational anomaly monitoring, and spectral analysis of interstellar objects The current draft integrates **66 academic references** across astrophysics, planetary science, materials science, and astrobiology. Reference verification includes **37 DOI records validated through the CrossRef REST API** and astrophysical parameter consistency checks using **Astropy Planck18 cosmological datasets**. The manuscript was developed with computational research assistance (GPT-5, OpenAI; Claude Opus 4, Anthropic) using **OpenClaw** and **Claude Code** for structural drafting, literature verification, and reproducible documentation. Full source files, including **Markdown manuscripts (English and Traditional Chinese)** and a **reference verification report**, are available at Github