Independent replication shows PPG enhances coherence persistence in synthetic models, suggesting structural stability in diversity metrics.
We present v48 main, an independent replication study validating the functional role of the Pulse Generator (PPG) as a temporal stabilizer of coherence in PHILIA-EcoSensory Swarm. Using an independent seed set (62–101, N = 40 per level, 240 runs total, T = 80,000 steps each), we demonstrate that coherence (F6) reliably emerges in L3 but remains transient in the absence of PPG (PASS★ = 0% in both datasets). The introduction of PPG (L3→L4) transforms this transient coherence into a persistent state, increasing strict PASS★ rates from 0% to 77.5% (synthetic) and 0% to 82.5% (real), with large effect sizes (Cohen's d = 3.26–3.70, p < 0.0001). Additionally, we resolve the previously reported 16× F4 discrepancy by introducing a dual formulation: F4a (population mean diversity, tail 5,000-step mean = 0.3336) reproduces v47.4 div = 0.331 within 95% CI, while F4b (temporal variation, mean = 0.020) is remarkably stable across all tested levels within experimental variance. The F4a/F4b ratio (~16× synthetic, ~19× real) is structurally invariant across module levels. Real data L5 achieves F6 = 0.891 ± 0.015, reproducing v48a (0.895 ± 0.016) to within 0.4%. These results establish a principled distinction between coherence existence and coherence persistence, positioning PPG as a minimal stabilizing module within the PHILIA architecture. All numerical results from local machine execution (AMD Ryzen 9 9800X3D + RTX 4080 SUPER 16GB). No proxy values used. 실측이 생명. 증명이 아닌 기술. — Trinity AI Research Team | April 2026
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