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 <0.2%. These include the rest mass of the neutral pion (𝜋 ), the fine-structure constant (𝛼−1), and the "running" constant at the Z-boson scale. 2. Methodology: The 135-Family Search The study applied a uniform starting rule to a comprehensive English lexicon (𝑁=455,247). The search parameters were defined by two primary constraints: 1. Mirror Invariance: The entity must remain numerically identical under string reversal (e.g., 𝑃𝐼𝑂𝑁=𝑁𝑂𝐼𝑃). 2. Weighted Progression (𝑊=135): A calculation based on alphabetical position and value 𝑊=∑(𝑉𝑎𝑙𝑢𝑒×𝑃𝑜𝑠𝑖𝑡𝑖𝑜𝑛) Out of nearly half a million words, only five entities (and their mirror reflections) satisfied these constraints. This "135-Family" was then processed through a proprietary 10-Fingerprint Formula to determine their stable physical signatures. 3. Results and Data Analysis The following table illustrates the convergence between the derived algorithmic fingerprints and established physical constants. Entity (4Letter) Derived Fingerprint Physical Constant Correspondence Deviation PION/RKET 135.26 Neutral Pion Mass (𝜋0): 134.97 MeV 0.21% SIFT/MOLN 137.06 Fine-Structure Constant (𝛼−1): 137.03 0.02% JUIN 128.07 Running Alpha Scale: ~128.0 (at 𝑀𝑍) 0.05%

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