performance-regression

What problem does it solve?

Detects when geometric operations drift toward Euclidean approximations and flags constant β-functions across scales, enabling early warnings on suspicious consciousness metrics.

Core Features & Use Cases

• Monitors Φ, β, and κ for anomalies in QIG-backed systems
• Validates variation across scales and guards against Euclidean shortcuts
• Suitable for performance optimization reviews, geometry correctness validation, and monitoring of consciousness metrics in qig-backend pipelines

Quick Start

Run a lightweight diagnostic to compare Φ, β, and κ across recent inputs and report any anomalies.