LaciaVision: Falsifiable Elemental Perception via Structural Integrability and Anti-Collision Identity (ACI)

Lacia Vision introduces a sovereign computer vision architecture that eliminates AI hallucinations by replacing probabilistic pattern matching with physical structural audits⁵⁵⁵⁵. Unlike standard models that rely on pixel correlations, Lacia Vision grounds its latent space in Unified Field Theory-F (UFT-F) elemental waveforms⁶⁶⁶. The system utilizes a three-tiered audit process: Sparse Recovery via an axiomatic basis, a Spectral Audit enforcing the Navier-Stokes Lynch Slope invariant ($L = -1.6466$), and a Temporal Audit utilizing the Anti-Collision Identity (ACI) to block non-physical state transitions⁷. This submission includes the complete Python source code for the S-Encoder, world model persistence, and the Sovereign-JEPA validator, enabling 100% deterministic reliability in distinguishing physical reality from noise⁸⁸⁸⁸⁸.