Rendered Frame Theory A Dissipative Field Theory of Observer Dependent Quantum Measurement

Rendered Frame Theory (RFT) — Numerical Validation Dataset and Simulation Code This archive contains the full numerical validation suite for Rendered Frame Theory (RFT), including: the Python simulation engine implementing the RFT evolution equations the leapfrog integrator, finite‑difference Laplacian, and hard‑saturation projection the four‑panel validation figure (Axiom 6, Dissipation Theorem, Attractor Convergence, Phase‑Space Flow) the complete time–energy–momentum dataset used in the manuscript reproducible code for generating all numerical results in the paper The dataset verifies the core analytical predictions of RFT: Hard saturation of the coherence field at ∣Φ∣≤2 (Axiom 6) Strict energy dissipation under the damping term −γΠ Exponential decay of momentum toward the stationary manifold Phase‑space contraction and convergence to the global attractor Agreement between numerical and analytical collapse torque structure All results are fully deterministic and reproducible using the included Python script. Contents RFT_validation_data.csv — time, total energy, and momentum‑norm dataset rft_simulation_suite.py — full simulation engine RFT_Validation_Plot.png — four‑panel validation figure README.md — instructions for running the simulation Scientific Purpose This archive is released strictly for scientific validation, peer review, reproducibility, and independent verification of the RFT dynamical framework. No commercial use is permitted. Citation If you use this dataset or code, please cite: L. S. Grinstead (2026). Rendered Frame Theory: A Dissipative Field Theory of Observer‑Dependent Quantum Measurement. Zenodo.DOI:10.5281/zenodo.19784868. Author Liam S. Grinstead ORCID: https://orcid.org/0009-0000-5930-7152