This technical paper details fundamental parameters and calibration methods in the USSFT framework, indicating implications for field theory predictions.
This paper provides a complete inventory of the parameters appearing in the Unified Space-Time and Scale-Dependent Field Theory (USSFT) framework, distinguishing fundamental Lagrangian inputs from derived auxiliary quantities and calibration conventions. Within the leading-order EFT truncation, the U-field Lagrangian (Paper I, DOI: 10.5281/zenodo.19622931) contains four continuous parameters: {Phi_0, L_SRI, xi, lambda_U}. The SRI coefficient eta = 1/12 is derived from the Taylor expansion of the hypercubic lattice stencil (Paper I); the coarse-graining analysis (Paper III, DOI: 10.5281/zenodo.19626136) provides an independent consistency check. At leading order eta enters only through the combination eta L_SRI^2, so it is convenient to define an effective regulator length L_SRI_eff = sqrt(eta) L_SRI. In the minimalist count used in this paper, L_SRI remains one of the four fundamental continuous inputs (Paper I), while eta is a derived O(1) coefficient fixed by lattice geometry; practical EFT predictions at this order depend primarily on L_SRI_eff rather than on (eta, L_SRI) separately. The dimensionless coefficients kappa_hbar and kappa_G relating U-field parameters to laboratory constants are fixed by operational calibration. We perform dimensional analysis to verify internal consistency and compare the USSFT parameter count (4 fundamental) to the Standard Model (around 19 to 26) and General Relativity (2). This minimal parameter set is a defining feature of the leading-order truncation: if matching observations at the same order requires additional continuously tuned parameters, the minimalist claim fails. Status: (B) derived parameter inventory under stated EFT truncation. This is Paper V in the 18-paper USSFT technical series; for a conceptual overview, see Paper 0 (DOI: 10.5281/zenodo.17852167, published in Int. J. Quantum Found. 12(2), 667-718, 2026).
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Leonardo Diaz (2026) studied this question.
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