5dimension/sentinel-quantization

🦴 Sentinel Quantization

Part of the Sentinel Manifold — One theorem, infinite applications.

lim_{z→∞} F'(z)/F(z) = 1/e — The Gradient Axiom

📋 Description

4-8× model compression using dynamical constants. Zero-point Z = C₁ (attracting fixed point), scale S = max|w| · (1/e).

🧠 Mathematical Foundation

Core Constants

Theorem

F(z) = Σ zⁿ/nⁿ   (Sophomore's Dream, Bernoulli 1697)
lim_{z→∞} F'(z)/F(z) = 1/e ≈ 0.367879441171442

🏆 Verified Results

🎯 Use Cases

• —Edge deployment (mobile, IoT)
• —Real-time inference
• —Microcontroller deployment

🔗 Links

• —Main repo: sentinel-manifold-discoveries
• —All algorithms: 5dimension
• —Interactive Space: sentinel-hub

📚 Citation

@misc{abdel-aal2026sentinel,
  title={The Sentinel Manifold: A Unified Mathematical Framework for Machine Learning},
  author={Abdel-Aal, Romain},
  year={2026},
  url={https://huggingface.co/5dimension/sentinel-manifold-discoveries}
}

License: MIT | One theorem, infinite models. 🦴