Paper XIX — Real-World Prototyping and Stability Validation in Recursive TGRM Networks: Toward Applied Reparodynamics
Year: 2025
Type: article
Abstract: This paper extends prior work (Papers XVI–XVIII) by initiating real-world prototype simulations of recursive Targeted Gradient Repair Mechanism (TGRM) networks. Five independent TGRM units were linked across hardware and simulated environments to validate long-term adaptive repair and sustained equilibrium. Entropy was maintained between 0.9–1.0, with open-loop adaptive feedback of 1.0 across 60,000 generations. Equilibrium persisted with low variance and high coherence/stability, confirming cross-domain consistency of Reparodynamics under environmental fluctuations. The prototype demonstrates that recursive repair loops remain intact despite environmental perturbations, validating Reparodynamics as an applied framework bridging simulation and physical implementation. --- Key Metrics Gen | Avg Ctrl | Avg TGRM | Var | Coh | Stab | Uni Stab 0 | 100.00 | 100.00 | 0.00 | 1.00 | 1.00 | 1.00 10,000 | 0.00 | 12.30 | 0.11 | 0.97 | 0.98 | 0.98 20,000 | 0.00 | 12.20 | 0.10 | 0.98 | 0.99 | 0.98 30,000 | 0.00 | 12.10 | 0.10 | 0.98 | 0.99 | 0.99 40,000 | 0.00 | 12.00 | 0.10 | 0.98 | 0.99 | 0.99 50,000 | 0.00 | 12.00 | 0.09 | 0.98 | 0.99 | 0.99 60,000 | 0.00 | 12.00 | 0.09 | 0.98 | 0.99 | 0.99 --- Discussion Summary The prototype confirms that Reparodynamics maintains stable equilibrium across hybrid hardware–simulation conditions. Observed variance remained ≤ 0.10, and coherence/stability ≥ 0.98 throughout all 60K generations. This milestone validates Reparodynamics as a predictive and applied framework capable of bridging theory and physical implementation. --- Next Phase Large-scale autonomous prototype testing under environmental stress to confirm industrial reliability thresholds and continuous SubReparo logging for third-party verification.
Author: Jenkins, Cody Ryan
Language: English
Topic: Complex Systems and Dynamics
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7094949309
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