Meta‑Ontological Discovery (MOD): A Generative Method for Identifying Veiled Systems Beyond Domain

MOD reveals these systems by detecting generative tension, interference patterns, and ontological pressure—signals that arise when representational or causal models reach their limits.</p><p dir="ltr">The architecture consists of four processes: <b>Boundary Inference</b>, <b>Ontological Profiling</b>, <b>Indirect Interference Mapping</b>, and <b>Meta‑Structural Classification</b>.

Together, these processes classify <i>meta‑zones</i> such as DGZ‑A (absorptive dark generativity) and GNZ (generative null zones), providing structural clarity for phenomena that appear anomalous within classical scientific grammar.</p><p dir="ltr">Two extended case studies demonstrate MOD’s explanatory power. <b>DGZ‑A</b> reinterprets dark energy as an absorptive interference symmetry that produces expansion invariance without causal force. <b>GNZ</b> models vacuum‑energy‑like phenomena as null generativity—structurally present yet dynamically silent—resolving the cosmological constant problem without invoking new fields or particles.</p><p dir="ltr">MOD operates above the <b>Integration Core (IC)</b>, which maintains structural continuity across the vW‑KG, GT v2, TX, and MOD modules.