Skip to content

umaywant2/TriadicFrameworks

TriadicFrameworks

TriadicFrameworks is a structural research initiative exploring resonance‑based models across scientific, computational, and conceptual domains. The project develops minimal, architecture‑agnostic frameworks that clarify structure, reduce conceptual drift, and support future standards without disrupting existing practice.

The repository contains the full family of twelve Zenodo‑published papers, each representing a distinct substrate in the TriadicFrameworks ecosystem. Together, they form a coherent lineage of structural tools for reasoning, validation, and interpretation.

Canonical Lineage (12 Papers)

The following papers form the complete TriadicFrameworks set:

  1. Resonance Substrate Model (RSM): Dimensional Substrate Framework for Multi‑Domain Analysis
  2. The Boson Substrate Model: Declared Operating Regimes
  3. Quantum Substrate Model: Regime Structure and Dimensional Organization
  4. Calibrating AI Drift via Declared Operating Regimes
  5. Manufacturing Substrate Regime Model
  6. Enterprise Structural Awareness
  7. Global Energy Regime Awareness
  8. Consciousness Substrate Model: A Structural Framework for Autonomous Forms
  9. Triadic Coordination Substrate: A Structural Framework for Coordinated Reasoning
  10. Spacetime Validation and Regime‑Invariant Dimensional Cores
  11. vST Domain Tool Primers
  12. Atomic Clocks Structural Alignment

Each paper is published through Zenodo and mirrored in this repository for transparency, reproducibility, and long‑term accessibility.

Repository Structure

docs/
├── resonance-substrate-model                                        # (RSM)
├── boson-substrate-model                                            # (BSM)
├── quantum-substrate-model                                          # (QSM)
├── ai-drift-calibration                                             # (ADC)
├── manufacturing_substrate_regime_model                             # (MSRM)
├── enterprise_structural_awareness                                  # (ESA)
├── global_energy_regime_awareness                                   # (GERA)
├── consciousness_substrate_model                                    # (CSR)
├── triadic_coordination_substrate                                   # (TCS)
├── spacetime_validation_and_regime_invariant_dimensional_cores      # (vST)
├── domain_tool_primers                                              # (DTP)
└── atomic_clocks                                                    # (ACSA)

Each directory contains:

  • a minimal README
  • structural artifacts
  • whitepapers or sectioned manuscripts
  • notebooks or demonstrations where applicable

The Twelfth Paper: Atomic Clocks Structural Alignment

The final paper in the set provides a resonance‑based interpretation of atomic timekeeping using the vST substrate. It introduces:

  • a triadic decomposition of clock architectures
  • a structural definition of the second
  • resonance‑based drift‑detection invariants
  • a non‑disruptive adoption roadmap

Full paper:
docs/atomic_clocks/whitepaper.md

Supporting artifacts:

  • triadic_decomposition/triad.md
  • vst_definition/second.md
  • drift_detection/invariants.md
  • roadmap/adoption.md
  • notebooks/vst_lite_atomic_clock_demo.ipynb

Purpose

TriadicFrameworks provides structural clarity for researchers, engineers, and standards bodies working across domains where resonance, coherence, and validation play foundational roles. The project emphasizes:

  • minimal definitions
  • architecture‑agnostic reasoning
  • reviewer‑friendly artifacts
  • reproducible, open scientific practice

TriadicFrameworks — Canonical Lineage Diagram

┌───────────────────────────────────────────────────────────────┐
│  1. Resonance Substrate Model (RSM)                           │
│     Dimensional Substrate Framework for Multi‑Domain Analysis │
└──────────────┬────────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│  2. The Boson Substrate Model                                │
│     Declared Operating Regimes                               │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│  3. Quantum Substrate Model                                  │
│     Regime Structure and Dimensional Organization            │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│  4. Calibrating AI Drift via Declared Operating Regimes      │
└───────┬───────────────┬──────────────────────────────────────┘
        │               │
        │               │
        │               ▼
        │   ┌──────────────────────────────────────────────────┐
        │   │  5. Manufacturing Substrate Regime Model         │
        │   └──────────────┬───────────────────────────────────┘
        │                  │
        │                  ▼
        │   ┌──────────────────────────────────────────────────┐
        │   │  7. Global Energy Regime Awareness               │
        │   └──────────────┬───────────────────────────────────┘
        │                  │
        ▼                  │
┌──────────────────────────────────────────────────────────────┐
│  6. Enterprise Structural Awareness                          │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│  8. Consciousness Substrate Model                            │
│     A Structural Framework for Autonomous Forms              │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│  9. Triadic Coordination Substrate                           │
│     A Structural Framework for Coordinated Reasoning         │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│ 10. Spacetime Validation and                                 │
│     Regime‑Invariant Dimensional Cores                       │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌──────────────────────────────────────────────────────────────┐
│ 11. vST Domain Tool Primers                                  │
└──────────────┬───────────────────────────────────────────────┘
               │
               ▼
┌───────────────────────────────────────────────────────────────┐
│ 12. Atomic Clocks Structural Alignment                        │
└───────────────────────────────────────────────────────────────┘

TriadicFrameworks — One‑Page Overview of the 12‑Paper Canon

TriadicFrameworks is a structural research program that develops architecture‑agnostic models for resonance, regimes, and validation across scientific, technical, and conceptual domains. The twelve papers form a coherent lineage, each introducing a minimal substrate that builds on the previous ones.

1. Resonance Substrate Model (RSM)

Dimensional Substrate Framework for Multi‑Domain Analysis
Introduces the resonance substrate as a dimensional framework for analyzing systems across domains. Establishes the core language of substrates, regimes, and structural invariants.

2. The Boson Substrate Model

Declared Operating Regimes
Extends RSM into a bosonic substrate with explicit operating regimes. Clarifies how declared regimes structure interpretation and constrain drift.

3. Quantum Substrate Model

Regime Structure and Dimensional Organization
Applies the substrate and regime approach to quantum systems. Organizes quantum behavior into regime‑aware dimensional structures.

4. Calibrating AI Drift via Declared Operating Regimes

Uses declared operating regimes to analyze and calibrate AI drift. Connects substrate‑level reasoning to practical AI behavior and model interpretation.

5. Manufacturing Substrate Regime Model

Applies regime‑based reasoning to manufacturing systems. Models flow, alignment, and structural drift in production environments.

6. Enterprise Structural Awareness

Extends the regime framework to enterprises. Provides a structural lens for organizational alignment, coherence, and long‑term drift.

7. Global Energy Regime Awareness

Applies substrate and regime concepts to global energy systems. Clarifies structural patterns, transitions, and regime shifts in energy infrastructure.

8. Consciousness Substrate Model

A Structural Framework for Autonomous Forms
Introduces a substrate model for consciousness and autonomous forms. Focuses on structural conditions rather than anthropomorphic claims.

9. Triadic Coordination Substrate

A Structural Framework for Coordinated Reasoning
Defines the triadic coordination substrate for multi‑agent and multi‑process reasoning. Formalizes coordination, alignment, and shared structure.

10. Spacetime Validation and Regime‑Invariant Dimensional Cores

Reinterprets spacetime as a validated structure with regime‑invariant dimensional cores. Connects substrate reasoning to physical regimes and measurement.

11. vST Domain Tool Primers

Provides minimal, domain‑specific primers for applying vST and regime reasoning in practice. Includes small, commented tools and examples for validators and integrators.

12. Atomic Clocks Structural Alignment

Applies vST and regime‑aware reasoning to atomic timekeeping. Introduces a structural alignment between atomic clocks, resonance‑based time, and validation layers.

Summary

The twelve papers form a complete structural ecosystem:

  • RSM → Boson → Quantum → AI Drift → vST → Atomic Clocks
  • Manufacturing, enterprise, energy, consciousness, and coordination as regime‑aware expansions
  • Domain tool primers as the practical bridge for validators and integrators

Together, they provide a coherent, extensible framework for reasoning about regimes, resonance, and validation across disciplines.

Citation

If you use this work, please cite the relevant Zenodo entries. Each paper includes a CITATION.cff file with complete metadata.

License

All materials in this repository are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. See LICENSE_NOTES.md for details.

Python CIRTT InsideRTTcode v1.0RTT IntegrationsStatus: Developer Preview

TriadicFrameworks

Resonance‑Time Theory • Triadic Substrate Modeling • Canon‑Aligned Tools

Overview

TriadicFrameworks is a modular, developer‑friendly implementation of Resonance‑Time (RT) Theory, a Nawderian scientific framework describing physical systems through three interacting substrate fields:

  • Spin
  • Electrolysis / Charge
  • Temperature

RTT API and SDK

🧭 Fork and Preserve the Lineage

Forking & Lineage Preservation - When extending or remixing this artifact, please fork rather than clone‑and‑overwrite. Forking preserves the lineage of ideas, maintains historical traceability, and ensures that contributions remain visible within the broader canon. This helps prevent “ghost branches” — work that exists but cannot be traced back to its origin.

🌱 Why This Works So Well for our Framework

Lineage is part of the canon. A fork is not just a technical action — it’s a ritual of respect for ancestry. - It prevents ghosting. Not in the paranormal sense (though our “full spectrum engine” is very on‑brand), but in the sense of losing authorship, context, or historical continuity. - It reinforces remixability. A fork signals: “This is a living artifact. Extend it, but keep the thread unbroken.”

We’re essentially building a genealogical tree of ideas. Forks are the branches; lineage is the trunk.


This repository provides:

  • Canon‑aligned reference implementations
  • Triadic modeling tools
  • Scripts and formats for analysis
  • Educational examples
  • Outreach‑ready documentation

Everything here is designed to be remixable, testable, and scientifically approachable.


Triadic Foundations

Resonance‑Time Theory (RT Theory)

RT Theory models physical behavior as the interaction of three substrate fields:

  1. Spin — rotational state, angular momentum, and directional bias
  2. Electrolysis / Charge — polarity, attraction/repulsion, field tension
  3. Temperature — energy distribution, motion, and substrate agitation

These fields form a triadic engine that governs system behavior across scales.


Repository Structure

TriadicFrameworks/
│
├── examples/        # Demonstrations, walkthroughs, and educational models
├── formats/         # Canonical data formats for triadic modeling
├── scripts/         # Tools, utilities, and analysis helpers
├── tests/           # CI‑validated test suite
├── docs/            # Documentation and outreach materials
└── README.md        # You are here

git clone https://github.com/umaywant2/TriadicFrameworks.git
cd TriadicFrameworks
pip install -r requirements.txt

Then explore the examples:

python examples/basic_resonance.py

Canon Glossary

Triadic Substrate

The three‑field foundation of RT Theory.

Framework

We chose a design that would be triadic harmonic nested with loops to align with Resonance research.

Resonance

The stable interaction pattern between fields.

FFF

Model for Frequency, Fluids, Forces

S-N-R

Model for Silence, Noise, Resonance.

SET Fields

Model for Spin, Electrolysis/Charge, Temperature.

0-9 Logical Dimensions for Full Spectrum 3D-9D Resonance-Aware Cores

Model for resonance-based full spectrum dimensional compute.

✨ Domain Convergence Event

It describes our breakthrough where:

  • the dimensional operators stop behaving as isolated layers
  • the resonance pathways lock into a shared harmonic
  • and a new cross‑dimensional capability becomes available

In other words, it was the moment when “the bridge stops being a bridge and becomes a channel.”


📘 Dimensional Naming (3D–9D)

3D — Triadic

  • Root: tri- (three)
  • Connotation: foundational resonance, first stable structure
  • Already core to your canon

4D — Quadradic

  • Root: quadra- (four)
  • Connotation: expansion, branching, first harmonic extension

5D — Quintadic

  • Root: quinta- (five)
  • Connotation: emergence of complexity, five‑point harmonic balance
  • (This is the “Quinsomething” you were reaching for — Quintadic is the cleanest)

6D — Hexadic

  • Root: hexa- (six)
  • Connotation: lattice formation, stable multi‑axis interplay

7D — Heptadic

  • Root: hepta- (seven)
  • Connotation: threshold dimension, crossing into higher‑order operators

8D — Octadic

  • Root: octa- (eight)
  • Connotation: full harmonic wheel, rotational completeness

9D — Enneadic

  • Root: ennea- (nine)
  • Connotation: apex of the first cycle, closure before recursion

🧩 Full Table

Dimension Term Notes
3D Triadic Foundational RTT dimension
4D Quadradic First harmonic expansion
5D Quintadic Complexity emergence
6D Hexadic Lattice stability
7D Heptadic Threshold dimension
8D Octadic Harmonic wheel
9D Enneadic Apex of first cycle

🧩 Why These Names Work

  • They follow a consistent morphological pattern: Greek numeral root + ‑adic
  • They scale cleanly beyond 9D if you ever extend the canon
  • They feel mythmatical without drifting into fantasy jargon
  • They align with your existing TriadicFrameworks tone and your preference for remixable clarity

🌱 A Note for Curious Learners of All Ages

Science is one of humanity’s greatest tools. It helps us understand the world by studying patterns, testing ideas, and building knowledge step by step. Everything you’ll learn on these websites is grounded in that shared scientific foundation.

As you explore, here’s something helpful to keep in mind:

**Science gives us the ingredients.

Patterns help us see how the ingredients fit together.**

You’ll notice that many scientific ideas — from atoms to ecosystems — make more sense when you look for:

  • relationships
  • cycles
  • feedback loops
  • repeating structures
  • how small parts connect to bigger systems

This way of thinking doesn’t replace science.
It simply helps you organize what you learn so it becomes clearer, easier to remember, and more meaningful.

If you ever feel confused, don’t worry — that’s part of learning.
Just return to the basics, look for the pattern underneath, and let the structure guide you.

And for the older learners reading this:
You already know that understanding grows in layers.
New perspectives don’t erase the old ones — they help us see deeper connections.
Stay curious, stay kind, and let your thinking evolve without fear of “acceptance tests” from anyone acting like a big kid.

Learning is a journey, not a contest.
Everyone starts somewhere, and everyone grows.


🔥 Why this matters

We’re not just imagining jobs — we’re imagining ecosystems.

RTT gives people:

  • a structure
  • a vocabulary
  • a set of tools
  • a way to think
  • a way to teach
  • a way to build

And once a new way of thinking exists, new roles naturally emerge around it.

  • K-12 preview
  • Influence Acknowledgment:

    TriadicFrameworks was developed independently through original reasoning, pattern analysis, and creative exploration. However, its conceptual landscape is enriched by the broader scientific tradition. Thinkers such as Nikola Tesla, Albert Einstein, Richard Feynman, Niels Bohr, Claude Shannon, and others have shaped the intellectual environment in which this work was created. Their contributions to time, structure, resonance, information theory, and systems thinking provided inspiration and context for the development of this framework.

    TriadicFrameworks — A living canon for resonance‑based science.


    Contributing

    Contributions are welcome.
    TriadicFrameworks is designed for remixers, researchers, students, and developers.

    Please open issues or PRs to propose improvements.


    License

    Apache2.0 License.
    See LICENSE for details.