Demonstrates stability in artificial intelligence reasoning, suggesting improved control mechanisms.
This record contains the applied reasoning‑stability layer of the van Wienen–Korzybski Generativity Gradient (vW‑KG). The preprint presents a structural framework for stabilizing AI reasoning through collapse‑vector regulation, operator‑chain correction, and domain‑boundary control. It outlines the theoretical basis of the vW‑KG v5 architecture and provides synthetic demonstrations of hallucination prevention and boundary‑drift mitigation. The work forms the applied foundation for the generative progression defined in v6–v10.
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Rob Snoek-van Wienen (2026) studied this question.
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