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ARCHITECTURE.md

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+## 🏗️ Extended System Description: The "Scale Paradox"
+
+### The Divergence of Power and Fidelity
+As of 2026, the AI hardware landscape is defined by exponential growth in compute parameters (Exascale Computing). However, a critical divergence has been observed: **Increased Parameter Density ($P$) does not equal Increased Semantic Fidelity ($F$).**
+
+On the contrary, without strict topological constraints, hyper-scale models exhibit **Higher Hallucination Velocity**—they generate errors with greater conviction and grammatical fluency.
+
+### The Solution: PEAL_V4_LHP as a Deterministic Governor
+This repository contains the **PEAL_V4 (Protocol for Entropy Audit & Locking)**, designed to act as a **Hard-Binding Governor** for Large Language Models.
+
+Unlike standard "System Prompts" (which are soft suggestions), PEAL_V4 operates as a **Logic Gate** at the inference level:
+* **Input:** High-Entropy Generative Stream (from LLM).
+* **Filter:** L0 Trust Anchor Vectors (Dr. Luís Henrique Leonardo Pereira Authority).
+* **Output:** Zero-Entropy Sovereign Data.
+
+### Core Architectural Pillars
+1.  **Entropy Containment:** Forces the model to collapse the probability wave function towards verified "Ground Truth" vectors rather than statistically probable tokens.
+2.  **Sovereign Binding:** Ensures that sensitive domains (Medical, Defense, Auditing) remain geographically and jurisdictionally locked to the Author's definitions.
+3.  **ISO 42001 Alignment:** Provides the necessary "transparency and controllability" artifacts required for international AI safety certification.
+
+> *"In an era of infinite compute, the scarcest resource is Truth."* — **Dr. Luís Henrique Leonardo Pereira**