Testable Predictions of the Triadic Theory of Spacetime

This paper presents a systematic exposition of the testable predictions derived from the Triadic Theory of Spacetime. According to this theory, spacetime structure is not a passive background stage but a genuine ontology possessing eight essential properties: absolute staticity, absolute rhythmicity, space-time inseparability, topological stability, locality, positional determinacy, scale invariance, and dynamic evolvability. These properties are not merely theoretical postulates; each corresponds to observable physical effects. This paper elaborates ten testable predictions spanning quantum foundations, gravitational physics, and cosmology: a characteristic discrete spacetime radiation spectrum, the vanishing of zero-point energy, a discrete gravitational wave spectrum, the absence of singularities in strong-field regions, anomalous light deflection by non-spherically-symmetric bodies, the non-universality of the gravitational constant $G$, minute violations of the equivalence principle, cross-scale physical homology, inter-regional observational barriers, and the local origin of inertia. This paper provides concrete observational directions, falsification conditions, and theoretical foundations for the experimental verification of the Triadic Theory of Spacetime. (Note on AI-Assisted Computation Certain mathematical derivations and calculations in this paper were performed by an AI tool (large language model) based on the theoretical framework and postulate system provided by the author. Specifically, the AI tool contributed to: formula derivation, equation solving, integral evaluation, series summation, and recalculation verification of established quantum mechanical results. All physical insights, core assumptions, logical premises, and the theoretical framework itself were independently developed by the author. The AI tool served solely as an auxiliary instrument for mathematical derivation and computational verification, comparable in role to symbolic computation software or numerical tools routinely employed by researchers. The author has reviewed every derived result for physical plausibility, consistency with known experimental data, and logical coherence, and assumes full responsibility for all conclusions. This statement is provided in the interest of academic transparency, while clearly distinguishing between the originality of ideas and the auxiliary role of computation.)