Published December 22, 2025 | Version v2
Model Open

Stone-Riemann-Ulam-Ramanujan Prime Engine

Description

By Travis Raymond-Charlie Stone

July 3, 2025

 

A recursive framework models prime emergence through spiraled geometry, symbolic feedback, and bifurcation logic. SRUPE detects radial prime arcs; SOIM defines their origin. The Stone Strip and Dome constrain growth in modular space. Together, they form a recursive engine simulating structure, cognition, and emergence across fields from number theory to architecture.

 

 

PartI:

Abstract: Radial Intelligence and Recursive Emergence in Prime Space

 

Within the rotating field of number space, embedded lattice arcs encode information not through explicit form but through recurrence—patterns that resist chaos by reappearing with statistical defiance. Through a radial architecture derived from the Ulam spiral, prime distributions reveal themselves not as accidents, but as oscillatory concentrations mapped by recursive geometries.

 

The framework initiates a radial-density intelligence system: it reframes prime distribution as field-like behavior where density patterns stabilize into spokes and arcs that can be transformed into polynomial or parametric structures, validating their presence via symbolic mappings, frequency deviation, and statistical significance.

 

The conjectural core proposes that:

 

“There exist infinitely many radial arcs where prime density exceeds random baseline across infinite radii.”

 

This is supported by:

• Transformational logic: radial spiral arcs become parametric forms

• Octinary recursion: symbolic feedback bounds prime emergence

• Interactive education: users toggle, simulate, and test conjectures with live tools

• Dynamic filters: prime-dense zones are tracked and refined with real-time mapping

• Modular proof walks: learners move through Editions 0–5, from generation to validation

 

Here, statistical outliers become educational anchors. Recursive learning loops become truth engines. The arc becomes the theorem.

 

This system is not merely a visualization—but an epistemic engine. It transmutes random distributions into harmonic alignments, empowering learners, researchers, and machines alike to rediscover structure where tradition saw none.

 

Optional Label for System

 

Stone-Riemann-Ulam Prime Engine.

A pedagogical-proof hybrid for emergence detection in mathematical space.

part II

Abstract: 

 

Unified Recursive Frameworks for Emergence, Pattern Recognition, and Geometric Simulation

 

This work presents an integrated and modular framework combining recursive mathematics, symbolic geometry, prime number modeling, and bifurcation-based emergence theory. Central to the system is the Stone-Riemann-Ulam Prime Engine (SRUPE), which detects radial arc structures within the Ulam spiral by identifying prime number density patterns. These arcs are governed by harmonic and recursive equations derived from the Stone Origin Insertion Model (SOIM), a theory describing how structural emergence originates from recursive bifurcation processes such as InfiniFurcation and ImmersiFurcation.

 

SRUPE and SOIM are embedded within a geometric simulation platform: the Stone Strip + Dome Universal Simulation Framework, which models spatial dynamics using a triplet-modulated recursive ribbon (Stone Strip) and overlaid dome geometries that serve as soft and hard boundaries for recursive expansion. This is augmented with the Asymmetric Stone Sphere, a parametric object generated via bifurcation-based modulation, used to simulate smooth, dynamic surface deformations across 3D domains.

 

Together, these systems form a Recursive Convergence Engine a unified framework where geometry drives logic, and logic recursively shapes geometry. This engine is capable of simulating:

Prime-based pattern emergence

Recursive learning systems

Field dynamics (e.g., gravitational or electromagnetic)

Symbolic cognition

Metaphysical and architectural growth forms

 

Applications span from mathematical research and artificial intelligence to quantum simulation, biophysical growth modeling, and 3D architectural design. This abstract serves as a synopsis of a body of work rooted in the recursive emergence of structure, balance, and meaning from foundational geometries, prime bifurcation points, and convergent-divergent systems of logic.

 

Stone, T. R.-C. (2025). Riemann Hypothesis formal support. Zenodo. https://doi.org/10.5281/zenodo.15226849

Ambiguous abstract tailored to the Ulam Spiral Prime Mapping and Recursive Education Framework. This format preserves clarity while allowing cross-disciplinary interpretation and plug-in expansion.

Files

Asymmetric_Stone_Sphere_Model.pdf

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