The Object-Oriented Platform: 222 Objects, One Integer Set This paper is part of the HOWL research archive—a collection of physics papers exploring integer fraction derivations across multiple domains using exact arithmetic and automated comparison. Abstract DATA-5 is the object-oriented database layer of the HOWL computational platform. It stores 222 physics objects across 9 types, backed by 7 verified libraries with 322/323 passing checks. Every coupling constant, every beta coefficient, every mass threshold, every R2 domain, every experiment result — typed, tagged, versioned, and exportable to JSON. The system was built in Session 4 from the platform libraries established in Sessions 1-3. It does not replace those libraries. It wraps them in a queryable object layer so that any computation can trace its inputs back to their source: which DATA-4 entry, which Q335 basis constant, which representation theory formula. The 1 FAIL in 30/31 is the Higgs representation count (6, not 7). The Higgs is a scalar, not a fermion representation. Its beta contributions are captured in the BetaCoefficient decomposition. Zero physics is missing. Falsification Criteria All papers in this archive are subject to falsification through direct comparison to published experimental measurements. Each derived value is tested against independent data with explicit PASS/FAIL criteria. Any derived value that fails its comparison is documented and published alongside the successes. Research Context This archive documents an ongoing research program in integer fraction physics. The methodology is: derive values from gauge group integers using exact fraction arithmetic, compare to published measurements, and document all results including failures. The archive spans multiple physics domains connected through the soliton boundary framework described in the constituent papers. Package Contents manuscript.md: The complete derivation and supporting analysis. README.md: Navigation, dependencies, and citation (Registry: HOWL-DATA-5-2026). Dependencies: HOWL-DATA-1-2026, HOWL-DATA-2-2026, HOWL-DATA-3-2026, HOWL-DATA-4-2026 Motto: Derive. Compare. Publish.Status: Documentation
Geoffrey Howland (Wed,) studied this question.
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