Selection-Stitch Model
(SSM) Theory
Rethinking the universe from first principles, revealing an elegant order beneath the complexity of particle physics.
Sponsorships AvailableResearch Papers
The Selection–Stitch Model (SSM)
Space-Time Emergence via Evolutionary Nucleation in a Polycrystalline Tensor Network
Download paper (PDF)
Thermodynamic Emergence
Deriving the Cuboctahedral Vacuum from Information Entropy
The Geometric Origin of Mass
A Topological Derivation of the Proton-Electron Ratio
The Mass of Dark Matter
An Integer Derivation of 0.88 GeV via Topological Exclusion
Constructive Verification of K = 12 Lattice Saturation
Exploring Kinematic Consistency in the Selection-Stitch Model
SSM Technical Validation
Step-by-Step Derivations of the Jan 2026 Observational Data
The Geometry of the Standard Model
Deriving the Higgs Mass, Lagrangians, and Gravity Echoes from Lattice Saturation
The Geometric Harmonics of Mass
Deriving the Standard Model Spectrum from Lattice Resonance
Fermion Chirality from Non-Bipartite Topology
Resolving the Doubling Problem via Lattice Saturation
Why We Are Sponsoring This Research
The Selection-Stitch Model offers a unified, topological explanation for Dark Energy, Cosmic Inflation, and the Hubble Tension without invoking new exotic particles. It derives the mass of Dark Matter via volumetric displacement and predicts a distinct gravitational signature for Black Hole decay. However, extraordinary claims require rigorous verification.
IDrive® is establishing the SSM Research Fund to provide the resources necessary for:
to verify the 13/12 porosity boost.
of existing JWST and DESI data for SSM signatures.
of the polycrystalline vacuum hypothesis.
Our Goal
To confirm or falsify the geometric mechanisms proposed in the SSM.
Requests for Proposals (RFP)
We are accepting grant applications for research focused on the following Experimental Protocols:
Track A : Computational Simulation
Objective: Verify Finding D (The Saturation Limit).
Develop high-resolution Monte Carlo or Tensor Network simulations to test the "Sintering Limit." Proposals should aim to replicate or disprove the 0.02% deviation seen in preliminary periodic boundary simulations, scaling the grid size to investigate lattice saturation behaviors.
Track B : Observational Cosmology (Data Analysis)
Objective: Verify the "Cold Spot" and Spin Bias.
Analyze CMB data (Planck/LiteBIRD) for "Equilateral Non-Gaussianity" at the Eridanus Cold Spot. Or, analyze large-scale galaxy catalog data to test the SSM prediction of a spin dipole aligned with the primary nucleation vertex.
Track C : High-Energy Astrophysics
Objective: Search for the $M^2$ Decay Profile.
The SSM predicts that Black Holes decay via geometric un-stitching ($t \propto M^2$) rather than thermodynamic evaporation ($t \propto M^3$). We fund research into Gamma-Ray Burst (GRB) archival data or CTAO observational strategies to distinguish these decay profiles
Eligibility
Who can apply for the 2026 cycle.
Resources Provided
Support available to selected teams.
Key Predictions
As the universe evolved from a solid "Shielded" phase ($N=12$) to a porous "Mesh" phase ($N=13$), expansion accelerated by 8.3%. This matches the gap between Early and Late universe measurements.
Dark Matter is identified as a $4_1$ topological knot (Figure-Eight) with a derived mass of 0.88 GeV.
Acceleration is driven by a "Repair Mechanism" ($V \propto S^{1.5}$) healing cosmic voids, not a cosmological constant.
Author's Note (Raghu Kulkarni)
How to Explore the Selection-Stitch Model (SSM)
The papers hosted here present a novel geometric framework for fundamental physics, deriving mass, gravity, and particle identity from the properties of a discrete vacuum lattice.
The Best Way to Engage with This Research:
While these documents are rigorous, the most effective way to deeply understand the SSM and its implications is to interact with the data directly. We encourage you to use modern AI tools to act as your personal research assistant.
Step-by-Step Guide:
Download the Research Papers
Download the full suite of PDF documents available on this site. These cover the derivations for the entire particle spectrum, the proton-electron mass ratio, and the nature of Dark Matter.
Upload to Your Favorite LLM
Platforms like Google Gemini, Anthropic Claude, or xAI Grok are excellent at synthesizing complex theoretical physics. Upload the PDFs directly to the chat interface.
Ask Critical Questions
Don't just read—test the model. Copy and paste prompts like these to see how the SSM compares to established science:
Ready to test the geometry of the universe?
Submit your research proposal. We are looking for rigor, curiosity, and the willingness to ask fundamental questions.
The Selection-Stitch Model is an open-source theoretical framework. All simulation code and derivations are available for public scrutiny.