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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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TVS23 Predictions for CODATA 2026/2028: Parameter-Free Numerical Forecasts from the Discrete Vacuum

Authors: ACOSTA PADILLA, ALFREDO LUIS;

TVS23 Predictions for CODATA 2026/2028: Parameter-Free Numerical Forecasts from the Discrete Vacuum

Abstract

The Structured Vacuum Theory TVS23, derived from the polynomial x³ − x − 1 = 0 with discriminant Δ = −23, makes specific numerical predictions for fundamental constants prior to their next CODATA measurement cycle. Predictions computed with zero adjustable parameters: (1) Fine structure constant: α⁻¹ = 137.0359991... The eighth decimal digit is predicted to be 1, versus the CODATA 2018 value of 0. The prediction follows from a geometric series in powers of 23⁻ⁿ whose coefficients are fixed by the representation theory of A₅ and the 19+4 channel decomposition. (2) Proton-to-electron mass ratio: mp/me = 22340448/12167 = 1836.152709787... CODATA 2018 gives 1836.15267343(11). TVS23 predicts convergence of the tenth significant digit from 3 toward 7. (3) Newton's gravitational constant: G = 6.67430(15) × 10⁻¹¹ m³kg⁻¹s⁻². TVS23 predicts resolution of the anomalous laboratory dispersion in current G measurements toward this value. Each prediction includes an explicit decision criterion: what CODATA 2026 must show to confirm or falsify TVS23 at that digit. This document is submitted prior to CODATA 2026 publication to establish priority independent of experimental outcome.

Keywords

fine structure constant, proton electron mass ratio, gravitational constant, CODATA prediction, structured vacuum theory, TVS23, discrete physics, A5 symmetry, algebraic physics, fundamental constants, physics, mathematical-physics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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