Algorithmic Derivation of Subatomic Constants from a Finite Linguistic Dataset: The 135 Weighted Multiplet
Authors/Creators
Description
Algorithmic Derivation of Subatomic Constants from a Finite Linguistic Dataset: The 135
Weighted 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 (4
Letter)
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%
Notes
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