Flux Flywheels, Gauged Hopf Lattice, and Emergent Reality
A self-consistent Hopf-lattice model in which the periodic table emerges as stable flux-flywheel configurations in a porous vacuum sponge, with observer synchronization explaining current null results while leaving distinctive non-local predictions testable.
- Clone Repository:
git clone https://github.com/kinaar8340/toe.git
cd toe- Create Environment:
python -m venv venv
source venv/bin/activate- Install Dependencies:
pip install -r requirements.txt- Run the Simulation:
# Single-Node (default 30 trials)
python scripts/epoch_bake_sweep.py
python scripts/run_reproduction.py# Or Run the Module as a Script
python -m scripts.epoch_bake_sweep
python -m scripts.run_reproduction# Single-Node (custom)
python scripts/epoch_bake_sweep.py --trials 1000 --dense
python scripts/run_reproduction.py --trials 1000 --dense# Multi-Node (custom)
python scripts/epoch_bake_sweep.py --use-ray --trials 1000 --dense
python scripts/run_reproduction.py --use-ray --trials 1000 --dense- Generate Plots:
python scripts/plot_sweep_results.py- Tests:
python -m pytest tests/ -q --cov=conduit- Python API Example:
from config import load_config
from conduit import RubikConeConduit
cfg = load_config("configs/default.yaml")
model = RubikConeConduit(
embed_dim=cfg.model.embed_dim,
twist_rate=cfg.model.twist_rate,
# ... other params
)
loss = model.training_step(inputs, optimizer)
recall = model.recall()
print(f"Final recall: {recall:.4f}")toe/
├── src/
│ └── conduit.py
├── scripts/
│ ├── run_reproduction.py
│ ├── epoch_bake_sweep.py
│ ├── pde_relaxation.py
│ ├── z_flywheel_map.py
│ └── two_gyro_lattice_demo.py
├── facts/
│ └── public_facts.json
├── outputs/
│ ├── epoch_bake/
│ │ └── epoch_sweep.csv
│ ├── pde_relaxation/
│ │ └── twist_pde_relaxation.png
│ ├── reproduction/
│ │ ├── reproduction_results.csv
│ │ └── stability_islands.png
│ ├── two_gyro_lattice/
│ │ └── two_gyro_full_split_demo_FINAL.mp4
│ └── plots/
│ ├── top10_stability_table.png
│ ├── braiding_phase_histogram.png
│ ├── param_vs_stability_scatter.png
│ └── stability_islands_heatmap.png
├── papers/
│ ├── Aaron's_TOE_Complete.pdf
│ ├── GW_Burste_Threshold.pdf
│ ├── GW_Echo.pdf
│ ├── GW_Echo_Derivation.pdf
│ ├── Lagrangian_Derivation.pdf
│ ├── Observer_Synchronization.pdf
│ └── Relativistic_Completion.pdf
├── pyproject.toml
├── requirements.txt
├── README.md
├── CITATION.cff
└── CONTRIBUTING.md
Conduit created successfully
Using device: cpu
Loaded RubikConeConduit v10.8
Trial 10000 complete | braiding_phase=0.81404
============================================================
REPRODUCTION RESULTS
============================================================
W_g lock : 111.4080 ± 0.0000 → LOCKED
Braiding phase : 0.8140 ± 0.0008 (expected ~0.8141)
Mean active_cubes : 12.01 (stability islands observed)
============================================================
All outputs saved to: outputs/reproduction/
• reproduction_results_*.csv
• stability_islands_*.png
Reproduction complete! The invariants lock as expected.
The companion mystery repo quantifies the near-Pythagorean residual R = φ² + e² − π² ≈ +0.137486 and its dynamical analogs (golden-angle packing ≈ 0.1375; exponential survival e⁻² ≈ 0.1353 at λt = 2).
Dual-role κ (see mystery RESULTS.md):
| Symbol | Value | Role |
|---|---|---|
| κ_doc | 0.85 | Documentation / theory (θ_crit, B(κ), Hopf framing) |
| κ_sim | ≈ 0.89 | Simulation / production (meta-opt, survival @ λt=2) |
| κ* | ≈ 0.8513 | Exact null e/π − R/π² |
Production meta-opt uses κ_sim; documented formulas retain κ_doc.
TOE integration:
| File | Purpose |
|---|---|
src/relaxation_survival.py |
λt normalization utilities; PDE + gauged-twist survival probes |
src/conduit.py → RubikConeConduit.run_survival_probe() |
Conduit invariants at normalized λt = 2 |
scripts/pde_relaxation.py --normalize-to-lambda-t 2 |
PDE survival benchmark |
scripts/epoch_bake_sweep.py --topology-grid |
Topology κ bake grid; braid_feedback_gain default 0.002 |
scripts/magic_island_sweep.py --topology-grid |
Magic-island braid-gain × topology grid |
Run from mystery: python scripts/exponential_survival_probe.py (imports toe modules).
@misc{kinder2026aarontoe,
author = {Kinder, Aaron},
title = {Aaron’s Theory of Everything: Flux Flywheels, Gauged Hopf Lattice, and Emergent Reality},
year = {2026},
howpublished = {\url{https://github.com/kinaar8340/toe}},
note = {arXiv preprint (pending)}
}MIT License — see LICENSE.
Name: Aaron Kinder
X: @kinaar8340
Emails: kinaar0@protonmail.com
Date: April 2026
Thank you for helping verify the locked invariants!






