Algorithmic Derivation of Subatomic Constants from a Finite Linguistic Dataset: The 135 Weighted Multiplet

Algorithmic Derivation of Subatomic Constants from a Finite Linguistic Dataset: The 135Weighted Multiplet Author: Saxon Ventura Research Ltd, All Rights Reserved Date: 6th of February, 2026 Category: Physics / Information Theory / Cryptography 1. Abstract This paper presents the discovery of a numerical "5-plet" (quintuplet) of entities derived from a linguistic keyspace of 455,247 English words. Using a proprietary 10-point algorithmic fingerprinting method, we demonstrate that a specific family of 4-letter strings—anchored by the "Weighted Progression 135"—yields numerical values that correspond to the most fundamental constants in nuclear and quantum physics with a variance of