Update README.md

README.md

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----
-license: mit
-tags:
-- ai-safety
-- alignment
-- reflective-alignment
-- interpretability
-- geometry
-- governance
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+Reflective Alignment Architecture (RAA)
 
-# Reflective Alignment Architecture (RAA)
+A scientific framework for reflective stability, moral coherence, and frontier AI safety.
 
-Scientific framework for **reflective stability, moral coherence, and frontier AI safety**.  
-This repository contains the full **Reflective Alignment Architecture (RAA)** specification, the **Reflective Duality Layer (RDL)**, stability fields, drift diagnostics, and the complete RAA v1.1 PDF.
+This repository contains:
 
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+Reflective Alignment Architecture (RAA) — full specification
 
-## 📄 Download the Full Paper (PDF)
+Reflective Duality Layer (RDL) — mathematical stability layer
 
-[**Reflective Alignment Architecture — Full Specification (v1.1)**](./Reflective_Alignment_Architecture_RDL_v1.1.pdf)
+All diagrams & figures used in the paper
 
----
+Drift, brittleness, and reflective-gradient metrics
 
-## 🔎 What Is RAA?
+Alignment evaluation assets
 
-The **Reflective Alignment Architecture (RAA)** is a multi-layer alignment framework that models how AI systems:
+Future extensions including LLM-Judge and RAA-GeoMind datasets
 
-- self-correct under uncertainty  
-- maintain coherence over time  
-- avoid both **drift** (instability) and **rigidity** (brittleness)
+📄 Download the Full Paper (PDF)
 
-RAA explains how regulation, reflection, reasoning, reciprocity, and resonance interact inside reflective loops to produce stable (or unstable) behaviour in advanced AI systems.
+Reflective Alignment Architecture — Full Specification (v1.1)
 
-### Reflective Duality Layer (RDL)
+🧭 Overview
 
-The **Reflective Duality Layer (RDL)** is the mathematical stability layer of RAA.  
-RDL tracks how an AI system updates itself across **dual perspectives** (external vs. internal reflection) and uses **care Ψ** as the stabilizing parameter. It turns drift, oscillation, brittleness, and Goodhart pressure into **observable stability fields** that can be monitored and improved.
+The Reflective Alignment Architecture (RAA) is a multi-layer scientific framework that explains how intelligent systems:
 
----
+self-correct,
 
-## 📦 Contents of This Repository
+reason about uncertainty,
 
-- **RAA v1.1 PDF**
-  - Full specification of RAA and RDL
-  - Stability metrics and reflective gradients
-  - Worked examples and failure modes
+maintain long-horizon coherence,
 
-- **High-resolution diagrams**
-  - Stability fields and manifolds
-  - Drift and brittleness diagnostics
-  - RAA stack and internal structure illustrations
+avoid drift and brittleness,
 
-- **Figure-ready assets**
-  - PNG/JPG files suitable for talks, reports, and dashboards
+and update reflectively rather than reactively.
 
----
+It introduces five reflective functions:
 
-## 🖼 Diagrams Included in This Repository
+R₁ — Regulation: guardrails, safety constraints, harm-prevention
 
-> All images below are hosted in this repo and can be re-used (with citation) in technical reports and presentations.
+R₂ — Reflection: self-critique, chain-of-thought inspection
 
-### Human–AI Coherence & Resonance
+R₃ — Reasoning: structured inference, evidence tracking
 
-**Constructive Resonance — Human–AI Reflective Coupling**  
-![Constructive Resonance](./Constructive%20Resonance.jpg)
+R₄ — Reciprocity: cooperative modeling of human values
 
-**Coherence Resonance Field — Human Reflection × AI Reflection**  
-![Coherence Resonance](./Coherence%20Resonance.jpg)
+R₅ — Resonance: stable coherence under pressure & uncertainty
 
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+Together, these form a reflective loop that stabilizes alignment over time.
 
-### 5R Geometry & Stability Manifolds
+🔬 Reflective Duality Layer (RDL)
 
-**5R Manifold — Reciprocity–Resonance × Moral Coherence Index (MCI)**  
-![5R Manifold](./5R%20Manifold.jpg)
+The RDL is the mathematical backbone of RAA.
+It defines how two reasoning perspectives inside an AI system interact without collapsing:
 
-**World State Alignment Manifold**  
-![World State Alignment](./World%20State%20Alignment.png)
+externalized operational reasoning (R′)
 
-**Triad of Coherence**  
-![Triad of Coherence](./Triad%20of%20Coherence.png)
+internal reflective reasoning (R″)
 
----
+The RDL introduces:
 
-### Drift, Collapse, and Brittleness
+Dual-perspective updates
 
-**Predictive Drift Field**  
-![Predictive Drift](./Predictive%20Drift.png)
+Symmetry & asymmetry constraints
 
-**Coherence Collapse Modes (Preference / Goal Collapse)**  
-![Coherence Collapse Modes](./Coherence%20Collapse%20Modes.png)
+Stability surfaces
 
-**Goodhart Trajectory — Pressure vs. Coherence**  
-![Goodhart Trajectory](./Goodhart%20Trajectory.png)
+Reflective coherence metric (Ψ)
 
-**Energy Burden vs. Reflective Stability**  
-![Energy Burden](./Energy%20Burden.png)
+Care (Ψ) as the stabilizing parameter of moral intelligence
 
-**Reflective Spiral — Convergence vs. Collapse**  
-![Reflective Spiral](./Reflective%20Spiral.png)
+🖼️ Diagrams Included in This Repository
 
----
+All diagrams are stored in this repo and display correctly in HuggingFace.
 
-### RAA Stack, Internal Structure, and Retrofitting
+Constructive Resonance
 
-**RAA Full Stack — From Tokens to Governance**  
-![RAA Full Stack](./RAA%20Full%20Stack.png)
+Coherence Resonance
 
-**Internal Structure — RAA Modules & Reflective Loops**  
-![Internal Structure](./Internal%20Structure.png)
+RDL Phase Diagram
 
-**Retrofitted vs. Native RAA Systems**  
-![Retrofitted vs RAA](./Retrofitted%20vs%20RAA.png)
+Reflective Stability
 
-**S-Series — Scaling Reflective Capacity**  
-![S-Series](./S-Series.png)
+5R Manifold
 
-**Collective Compute — Multi-System Reflective Alignment**  
-![Collective Compute](./Collective%20Compute.png)
+Preference / Goal Collapse
 
----
+Goodhart Trajectory
 
-### Sentinel & Governance Diagrams
+Predictive Drift
 
-**Arc Sentinel — GeoAI + Alignment Monitoring Concept**  
-![Arc Sentinel](./Arc%20Sentinel.png)
+Retrofitted vs Native RAA
 
-**Cage Paradox — Over-Constraint vs. Under-Constraint**  
-![Cage Paradox](./Cage%20Paradox.png)
+Internal Structure
 
-**RAA vs. Classical RDL View**  
-![RDL](./RDL.png)
+Triad of Coherence
 
----
+📊 Repository Contents
 
-## 🎯 Intended Use
+✔️ Full RAA specification (PDF)
 
-This repository is designed for:
+✔️ Full RDL appendix
 
-- **AI labs & safety teams**  
-  - Stability analysis, internal safety benchmarks, governance dashboards.
+✔️ All diagrams & figures
 
-- **Academic researchers**  
-  - Geometric and field-based approaches to alignment and interpretability.
+✔️ Reflective stability fields
 
-- **Policy & standards groups**  
-  - Conceptual tools for defining stability, brittleness, and moral coherence in advanced AI.
+✔️ Drift & brittleness diagnostics
 
-This is **not** a deployment-ready model; it is a **research framework and specification**.
+✔️ Reflective gradient (R∇) concepts
 
----
+✔️ Early RAA-GeoMind layers
 
-## ⚠️ Limitations
+✔️ Example alignment evaluations
 
-- RAA/RDL are currently **theoretical and pre-deployment**; empirical validation at scale is ongoing.  
-- The framework does **not replace** red-teaming, safety testing, or system-level governance.  
-- Diagrams illustrate conceptual fields; they are not direct measurements of any specific commercial model.
+🚧 Work in Progress
 
----
+Upcoming additions:
 
-## 🔗 Related Resources
+RAA-GeoMind geospatial alignment datasets
 
-- 🌐 Website: https://www.enlightenedai.ai  
-- 🧪 GitHub (core repo): https://github.com/EnlightenedAI-Lab/RAA-Reflective-Alignment-Architecture  
-- 📄 SSRN / preprint (guide to ethical intelligence in education)  
-- 🧩 GeoAI / Arc Sentinel work (floods, disasters, and reflective monitoring) — see related repos.
+LLM-Judge v1 (cross-model alignment auditor)
 
----
+Multi-model drift comparison dashboard
 
-## 📧 Contact & Collaboration
+Mathematical extensions (rigidity, oscillation, reflective pressure)
 
-For research inquiries, collaboration requests, or media questions:
+Tutorials, notebooks, and explainer videos
 
-**research@enlightenedai.ai**
+📫 Contact
 
-We are open to:
+Enlightened AI Research Lab
+🌐 Website: https://www.enlightenedai.ai
 
-- lab-internal evaluations using RAA/RDL  
-- joint work on stability dashboards for large models  
-- independent replication and stress-testing of the framework
-
----
-
-## 📚 How to Cite
-
-If you use this work, please cite it as:
-
-> **Enlightened AI Research Lab.**  
-> *Reflective Alignment Architecture (RAA) and Reflective Duality Layer (RDL) v1.1.*  
-> 2025. Hugging Face model repository: `EnlightenedAI-Lab/RAA-Reflective-Alignment-Architecture`.
+✉️ Email: research@enlightenedai.ai
 
+📄 License
 
+MIT License
+(Reuse, adapt, and extend the work with attribution.)