| ## 🏗️ 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** | |