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This experimental framework presents a prediction network for SGCU theory, suggesting implications for theory validation.
This paper is Version 2.8 of SGCU — the prediction network. It collects all predictions implicit in Versions 2.0–2.7 into an interconnected list. Each prediction arises from the same Ψ field framework, so they are intrinsically linked. This paper does not explain the theory; it only presents predictions and falsification conditions. If any key prediction is experimentally negated, SGCU will be falsified. If all pass, SGCU will gain strong support. The fate of the theory rests with experiment.
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Yida Huo (2026) studied this question.
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