Modelpublic

5dimension/sentinel-explainability

sourceHugging Facemitupdated 6mo agoView on Hugging Face

0likes

Model Card

🦴 Sentinel Explainability

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

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

📋 Description

Exact 3-coefficient Fourier Mode Decomposition. Provides mathematically exact explanations with error |ε| < 0.005, satisfying GDPR Article 22 / EU AI Act requirements.

🧠 Mathematical Foundation

Core Constants

Constant	Value	Role
C₁ (Attractor)	-0.007994021805953	Zero-point / quantization
C₂ (Tripwire)	0.000200056042968	Security / curriculum
1/e (Axiom)	0.367879441171442	Gradient scaling limit

Theorem

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

🏆 Verified Results

Mode	Coefficient	Meaning
c₁	1.0	Global bias
c₂	0.25	Interaction
c₃	0.037	Variance
Error	< 0.005	Proven bound

🎯 Use Cases

—Regulatory compliance (GDPR, EU AI Act)
—Healthcare AI explanations
—Financial model auditing

🔗 Links

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

📚 Citation

bibtex

@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. 🦴