As artificial intelligence (AI) systems increasingly generate the data upon which they are subsequently trained, the global information ecosystem faces a recursive degradation known as "Model Collapse." This paper proposes a novel filtration engine based on Stieve Zero-Point Topological Mathematica (SZTM). By utilizing a 12-Dimensional Dodecahedral Lattice and the 13th Pre-Space-Time Matrix, we introduce a method for verifying data integrity through Harmonic Symmetry. We demonstrate that the 0.01364 threshold serves as a "Truth Anchor," allowing for the automated removal of pseudoscientific noise and AI-generated drift, thereby optimizing global data storage and computational efficiency.