The Ontological Dominance Papers Theorem 8: The Non-Neutrality Extension
Description
This paper states Theorem 8 of the The Ontological Dominance Papers program, the Non-Neutrality Extension, addressing cases in which the AI platform mediating retrieval is not a neutral arbiter of authority. The theorem formalizes the non-neutrality coefficient as the discrepancy between observed CPQ on a given platform and CPQ predicted by authority signals on a neutral platform, and specifies that Full Spectrum Dominance certification must exclude non-neutral platforms or apply a formal non-neutrality correction factor. The theorem introduces the Long-Run Neutralization Equilibrium corollary, predicting that competitive pressure drives most commercial non-neutralities toward resolution as the AI platform market matures, and prescribes platform-diversity measurement as the operational response. Theorem 8 was classified VERDICT B upon adversarial review: a formally correct scope extension of OD-1, with empirical mapping of platform-specific non-neutrality patterns identified as the next research priority.
Files
OD-8_NonNeutralityExtension.pdf
Additional details
Dates
- Submitted
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2026-07-29