Harmony Operator: A Calibration Law Across Physics and AI Baselines
Year: 2025
Type: article
Abstract: This data paper introduces the Harmony Operator, the first key of the Harmony Codex. It presents representative baselines demonstrating universal residual collapse across physics-inspired receipts and standard AI benchmarks. Results show consistent suppression of variance in propulsion Δv receipts, paradox bridging, cosmology models, as well as AI tasks including fairness, embeddings, long-context memory, and cross-document reasoning. These outcomes indicate that Harmony functions not as a domain-specific optimization but as a systemic calibration law. All associated data and supporting documents are available through the listed Zenodo DOIs.
Author: Race Allen Wade, Race
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7082653790
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