Spaces:
Sleeping
Sleeping
File size: 3,261 Bytes
07c8ec7 76760b5 07c8ec7 76760b5 07c8ec7 76760b5 07c8ec7 76760b5 07c8ec7 030ce94 07c8ec7 030ce94 07c8ec7 030ce94 07c8ec7 76760b5 07c8ec7 030ce94 07c8ec7 76760b5 07c8ec7 76760b5 07c8ec7 030ce94 07c8ec7 76760b5 07c8ec7 76760b5 07c8ec7 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
Rendered Frame Theory — Stabilising System Verification Panel
Interactive verification panel for Rendered Frame Theory (RFT) harmonic stability under controlled synthetic noise.
This Space is a reproducible test harness for anticipatory stability (QΩ) and synchronisation coherence (ζ_sync) across multiple domains.
• Domains: AI/Neural, SpaceX/Aerospace, Energy/RHES, Extreme Perturbation
• Noise control: slider for σ (0.00–0.30) to probe robustness
• Outputs: JSON with mean QΩ / ζ_sync, status classification, and timestamp
• Logging: Save Run Log downloads a timestamped .json record for audit trails
• Reference DOI: https://doi.org/10.5281/zenodo.17466722
Live panel: https://rftsystems-rft-omega-api.hf.space
⸻
How to Use
1. Open the panel → https://rftsystems-rft-omega-api.hf.space
2. Select a System Profile (AI/Neural, SpaceX/Aerospace, Energy/RHES, Extreme Perturbation).
3. Choose Noise Distribution (gauss or uniform).
4. Adjust Synthetic Noise (σ) with the slider (0.00–0.30).
5. Click Run Simulation → JSON output appears with live QΩ/ζ_sync and status.
6. Click 💾 Save Run Log to download the result as a .json (timestamped).
Example output
{
"profile": "AI / Neural",
"noise_scale": 0.080,
"distribution": "gauss",
"QΩ_mean": 0.834,
"ζ_sync_mean": 0.799,
"status_majority": "perturbed",
"timestamp_utc": "2025-10-29T14:04:05.114382Z",
"rft_notice": "All Rights Reserved — RFT-IPURL v1.0 (UK / Berne). Research validation use only. No reverse-engineering without written consent."
}
What to Expect
Typical stable ranges (nominal conditions)
Metric
Range
Meaning
QΩ
0.82–0.89
Harmonic stability factor (amplitude)
ζ_sync
0.75–0.88
Synchronisation coherence (phase)
Status classification (qualitative)
• nominal — low variance; coherent equilibrium
• perturbed — moderate variance; coherent but stressed
• critical — high variance; edge-of-instability
Noise guidance by profile (starting points)
• AI / Neural: σ ≈ 0.01–0.10 (training drift / GPU jitter)
• SpaceX / Aerospace: σ ≈ 0.03–0.12 (vibration / telemetry lag)
• Energy / RHES: σ ≈ 0.02–0.10 (grid oscillations / load steps)
• Extreme Perturbation: σ up to 0.30 (stress testing / failure modes)
Notes
• The panel applies domain-specific weighting (relative importance of QΩ vs ζ_sync).
• Outputs are bounded to [0.00, 0.99] to prevent saturation artifacts and maintain comparability.
• Repeated runs at fixed σ typically show < 0.05 variance in stable regimes.
⸻
Validation Purpose
• Benchmark harmonic resilience under controlled perturbations (σ sweeps).
• Study predictive drift signals: observe divergence/convergence of QΩ and ζ_sync as σ increases.
• Profile-specific tuning: compare AI vs Aerospace vs Energy with identical σ to see weighting effects.
For deeper collaboration (e.g., xAI / RobustBench / GLUE-style testing), this panel can be extended with dataset hooks and richer logging while keeping internal parameters sealed under RFT-IPURL.
⸻
Rights & Contact
All Rights Reserved under RFT-IPURL v1.0 and the Berne Convention (UK Copyright Law).
Author / Contact: Liam Grinstead — liamgrinstead2@gmail.com
|