
The V70–V75 sequence established a scale-crossing language in which forces act as active Σ-operators and gravity appears as accumulated geometric residue, with particle mass interpretable as Σ-maintenance cost tied to a dynamic-space cutoff κ. We now propose an operational stress-test: the near-Earth environment, where satellite constellations, debris fields, and dense tracking operations create conditions in which the usual assumption of a quasi-clean, time-stationary background may break down. We do not claim that electromagnetic traffic produces measurable gravitational fields. Rather, we propose three operationally testable diagnostics—Prediction Error Growth (PEG), Whitening Failure of Residuals (WFR), and Alert Saturation Index (ASI)—that can be evaluated using standard orbit determination products. PEG measures how swiftly predictive accuracy degrades; WFR detects persistent autocorrelation or 1/f structure where white noise is expected; ASI quantifies when alert volume begins to distort decision capacity. These diagnostics serve as operational proxies for the theoretical quantities κ_eff (effective resolution) and Σ_noise (accumulated residual structure). Any team with OD residuals, CDM logs, or maneuver records can compute these metrics and test regime dependence without adopting new dynamics. The hypothesis is falsifiable: absence of systematic correlations with environmental crowding implies the operational Σ-proxy interpretation adds no value. V76 thus provides a "second-cycle entry point" where "space as a clean background" becomes an empirical assumption to be tested rather than an axiom.
【How to Approach This Series】 This paper is constructed upon a dynamic cosmological perspective, featuring a multi-layered and internally consistent structure. Consequently, readers may find the content recursive or densely interconnected. To maximize understanding, we recommend the following approach: 1.Load multiple papers (3–5) from this series into an AI system (such as Claude or ChatGPT). 2.Request a summary and a structural analysis of the interconnected concepts. 3.Once you have grasped the holistic picture, proceed to read the specific sections of interest.This friction is not a flaw, but rather a natural characteristic of engaging with a theory that possesses a dynamically updating universe. [ Recommended Prompt for AI Analysis ] You can use the following prompt to analyze the series efficiently: "I have uploaded multiple papers from this series.Please analyze them as a unified theoretical framework,rather than as independent or static papers. 1.Identify the core 'dynamic structure' and explain how the concepts are internally consistent and recursive. 2.Synthesize the definitions of key terms that appear across the papers. 3.Provide a high-level summary of the overall cosmological view presented. 4.Outline the logical flow connecting these specific papers."
operational Σ-space, orbit determination residuals, prediction error growth, whitening failure, alert saturation, space traffic management, near-Earth environment, κ-effective, Σ-noise proxy, falsifiable framework, YAGC
operational Σ-space, orbit determination residuals, prediction error growth, whitening failure, alert saturation, space traffic management, near-Earth environment, κ-effective, Σ-noise proxy, falsifiable framework, YAGC
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