IcosahedralRRF_Phi5_1

IcosahedralRRF Φ₅.1 + SavantEngine Φ₄.6

Unified Framework: Discrete Quantum Gravity · Gauge Fields · IcosahedralRRF Model

Author: Antony Padilla Morales
arXiv ref: gr-qc/2401.01847
Version: Φ₅.1 (Integrated with SavantEngine Φ₄.6)

🔍 Technical Overview

This model implements a discrete Dirac operator over an icosahedral graph ($V=12, E=30, \chi=2$). It integrates $U(1) \times SU(2) \times SU(3)$ gauge fields and is trained on real gravitational wave data (LIGO GW150914) and galactic catalogs (SDSS DR18).

📊 Key Technical Findings

• Dirac Gap: 0.091898 eV (Stable topology).
• Model Parameters: 254,771,938 (Hybrid CNN-GNN).
• Resonance Metric: ~1.5000.
• Savant Coherence: 0.8887 (Cycle 8).

📂 Included Files

• IcosahedralRRF_Phi5_1.pt: Model weights and spectral metadata.
• savant_continuum_state_Phi5_1_integrated.json: SavantEngine AGI state log.
• rrf_training_history.json: Training metrics (BCE, Resonance, Entropy).
• *.png: Spectral analysis and training curve visualizations.

🚀 Usage

To load the model:

import torch
# Use weights_only=False to load the metadata dictionary
checkpoint = torch.load('IcosahedralRRF_Phi5_1.pt', map_location='cpu', weights_only=False)
print(f"Loaded RRF Version: {checkpoint['rrf_version']}")