Multi-Scale RECSM Validation: From Planetary Orbits to Fungal Networks via Universal Structural Scaling

The Recursive Einstein-Cartan-Suresh Resonant Metric (RECSM) proposes a unified framework linking gravitational dynamics, biological network optimization, and computational efficiency across scales. We present evidence spanning three orders of magnitude: macroscopic Solar System orbital resonances, mesoscopic fungal mycelial network TSP optimization, and theoretical connections to quantum-scale golden-ratio signatures. At the macro scale, RECSM’s Universal Structural Scaling Dimension, S = 1. 5625, is used to interpret orbital anomalies through a Resonance Constraint mechanism, with deviations associated with thermal dissipation, as in Io’s 10¹4 W volcanism, or coordinate relaxation, as in lunar recession at 3. 8 cm/year. At the meso scale, fungal networks achieve 0–2% TSP error rates at a critical 0. 72 threshold, suggesting that computational optimization may emerge from the same underlying geometric principles. We argue that these values represent complementary aspects of a single framework: S = 1. 5625 governs spatial topology, while 0. 72 reflects algorithmic efficiency, both shaped by recursive torsion dynamics. Together, these findings position RECSM as a candidate framework for unifying orbital mechanics, biological computation, and information geometry.