LaciaVision: Falsifiable Elemental Perception via Structural Integrability and Anti-Collision Identity (ACI)
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.
Artificial General Intelligence (AGI), Computer Vision, AI Hallucination Rejection, Navier-Stokes Equations, Joint-Embedding Predictive Architecture (JEPA), Sovereign AI, UFT-F
Artificial General Intelligence (AGI), Computer Vision, AI Hallucination Rejection, Navier-Stokes Equations, Joint-Embedding Predictive Architecture (JEPA), Sovereign AI, UFT-F
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