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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