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Implosive Genesis

The Recursive Emergence of Space, Time & Consciousness From informational criticality to fractal frame rendering

CI Python 3.11+ License: MIT DOI v0.1.0 DOI v0.2.0 DOI v0.3.0 DOI v0.4.0 PyPI

DOI (v0.1.0): 10.5281/zenodo.18930089 DOI (v0.2.0): 10.5281/zenodo.18940541 DOI (v0.3.0): 10.5281/zenodo.18942660 DOI (v0.4.0): 10.5281/zenodo.18956822 Documentation: genesisaeon.github.io/implosive-genesis


Core Idea

When information density exceeds the critical threshold Θ, dimensions emerge as frame-buffers to prevent collapse (Frameprinciple). Time arises as the entropic price of the transition $S \propto A \to S \propto V$.


Scientific Background

Implosive Genesis (V_RIG) is a theoretical-formal framework that models the emergence of space, time, and consciousness as a recursive, self-organising process. It unifies principles from information theory, quantum mechanics, and consciousness research in a coherent mathematical structure.

Key Concepts

Abbreviation Concept Description
V_RIG Recursive Implosive Genesis Central model of self-referential emergence
OIPK Ontological Implosive Principle of Coherence Coherence condition for emergent structures
Frameprinciple Frame Principle Formal description of observer frames and transitions
Type-6 Consciousness Level 6 Recursive self-perception as a physical state

Core Formulae

Phi Scaling & Minimal Geometric Waste

The golden ratio $\Phi = (1+\sqrt{5})/2 \approx 1.618$ minimises geometric waste in recursive implosion lattices. Coupling parameter at level $n$:

$$\beta_n = \beta_0 \cdot \Phi^{n/3}$$

Geometric waste:

$$W(n) = 1 - \frac{1}{\Phi^{n/3}}$$

V_RIG – Recursive Implosive Velocity

Empirically determined from cosmic field-collapse equilibrium, Monte-Carlo validated against the CMB dipole:

$$V_{RIG} \approx 1352\ \text{km/s}$$

Phi-scaled fine-structure constant:

$$\alpha_\Phi = \alpha \cdot \Phi \approx 0.01180$$

OIPK Energy & Frame Stability

$$\omega_F = \frac{2\pi c}{\lambda_{OIPK}}, \quad E_{OIPK} = \hbar \cdot \omega_F \cdot \alpha_\Phi$$

$$S_F = \frac{\Phi^2}{\alpha_\Phi} \approx 221.9, \quad \cos(\theta_\perp) = -\frac{1}{\Phi}$$

Recursive coherence length and impulse energy at level $n$:

$$L_n = \lambda_{OIPK} \cdot \Phi^{n/3}, \quad I_n = E_{OIPK} \cdot \Phi^{n/3}$$

Tesseract Time-Slices

Discrete time as a Phi-scaled spectrum:

$$T_n = t_0 \cdot \Phi^n, \quad V_{4D}(n) = T_n^4, \quad f_R(n) = \frac{V_{RIG}}{T_n}$$

CREP – Entropic Price & Time Emergence

$$CREP = \frac{w_{\rm buffer}}{w_{\rm buffer} + P_{\rm info}}, \quad P_E(n, T) = n \cdot k_B \cdot T \cdot \ln(\Phi)$$

Entropic price (SymPy closed form):

$$E_{\rm price} = \int (S_V - S_A),dV + k_B T \ln 2 \cdot {\rm bits}$$


What's Implemented (v0.4.0)

  • Phi Scaling & Minimal Geometric Waste — $\beta_n = \beta_0 \cdot \Phi^{n/3}$
  • Recursive Implosive Velocity — $v_{\rm RIG} \approx 1352\ \text{km/s}$ (Monte-Carlo validated against CMB dipole)
  • Type-6 Inverted Sigmoid + Cubic Root Jump
  • Orthogonal Impulse Photon Kernel (OIPK) — $\tau \perp t$, CREP governance
  • Entropic Price → Time Emergence — SymPy closed form
  • Tesseract Time-Slices & CREP Governance
  • Fractal Rendering Engine (ASCII + PNG/SVG + animation)
  • Full 10-Part Chronology Validator (100% pass rate)
  • Medium Modulation & Anesthesia Frame-Buffer Tests

Installation

pip install implosive-genesis
# or
uv tool install implosive-genesis

Quick Start (Development)

git clone https://github.com/GenesisAeon/implosive-genesis.git
cd implosive-genesis
uv sync --extra dev
uv run pytest

Key CLI Commands

# Fractal tesseract visualisation
ig fractal-render --depth 8 --ascii

# Validate 10-part chronology (10/10 check)
ig chronology-validate

# Complete model overview
ig full-summary

# OIPK kernel + emergent dimensions
ig oipk-calc

# Consciousness loss simulation
ig anesthesia-test --duration 300

# Entropic price (SymPy)
ig entropy-price-sympy --steps 10000

# Falsification against real CMB dipole
ig cmb-test --n_sim 5000

# Scaffold a new experiment project
ig scaffold my-experiment

# Scaffold with genesis preset
ig scaffold my-physics-tool --template genesis --author "Ada Lovelace"

# Preview without writing files
ig scaffold my-experiment --dry-run

# List available templates
ig list-templates

# Validate a project directory
ig validate path/to/my-project
ig validate          # validates current directory

API Example

from implosive_genesis.core.vrig import compute_vrig
from implosive_genesis.theory.frameprinciple import OIPKernel, FramePrinciple
from implosive_genesis.theory.models import ImplosiveGenesisModel

# V_RIG with Monte-Carlo uncertainty
result = compute_vrig(n=3, samples=50_000, seed=42)
print(result)  # V_RIG = 2187.34 ± 12.02 km/s

# Recursive frame structure
kernel = OIPKernel()
fp = FramePrinciple(kernel=kernel)
for n in range(5):
    print(f"n={n}: L={fp.coherence_length(n):.3e} m, S_F={fp.stability_at(n):.2f}")

# Full model summary
model = ImplosiveGenesisModel()
print(model.full_summary(n=3, temperature=2.725))

Project Structure

src/implosive_genesis/
├── __init__.py              # Version and metadata
├── cli.py                   # Typer CLI (ig command)
├── preset.py                # Template engine
├── validator.py             # Project validation
├── core/
│   ├── physics.py           # PHI + PhiScaling
│   ├── vrig.py              # V_RIG calculation + Monte-Carlo
│   ├── type6.py             # Type-6 consciousness state
│   └── genesis.py           # Central ImplosiveGenesis class
├── theory/
│   ├── frameprinciple.py    # OIPKernel + FramePrinciple (DIMENSION_AXIOM)
│   ├── tesseract.py         # Tesseract time-slices + CREP
│   └── models.py            # ImplosiveGenesisModel
├── oipk/
│   └── kernel.py            # OIPK kernel (λ, ω, E, CREP, emergent dimensions)
├── medium/
│   └── modulation.py        # Medium modulation + anesthesia simulation
├── simulation/
│   ├── entropy_governance.py
│   └── cosmic_moments.py
├── render/
│   └── fractal_tesseract.py # Fractal Phi-scaled rendering engine
├── chronology/              # 10-part chronology validator
└── templates/
    ├── minimal.py           # Minimal Python package template
    └── genesis.py           # Extended template with domain YAML

Templates

Template Description
minimal Clean Python package for all use cases
genesis Extends minimal with domains.yaml + entropy-table bridge

Roadmap

v0.1.0

  • Phi scaling (PhiScaling, PHI)
  • V_RIG with Monte-Carlo uncertainty
  • OIPK kernel and Frame Principle
  • Tesseract time-slices and CREP
  • Type-6 consciousness state
  • Entropy governance simulation
  • CLI (ig scaffold, ig validate, ig list-templates)
  • Templates: minimal, genesis
  • CI/CD (GitHub Actions)
  • Full documentation (MkDocs)
  • Zenodo DOI

v0.2.0

  • SymPy formalisation (entropic price, Phi scaling)
  • Tesseract visualisation (3-panel rendering, PNG/PDF export)
  • CMB falsification (Monte-Carlo vs. real CMB dipole)
  • CLI: ig entropy-price-sympy, ig tesseract-render, ig cmb-test, ig phi-proof
  • 323 tests, coverage ≥ 99%

v0.3.0

  • OIPK kernel as closed-form equation (oipk/kernel.py)
  • Frameprinciple completed (DIMENSION_AXIOM, emergent_dimension())
  • Medium modulation + anesthesia simulation (medium/modulation.py)
  • CLI: ig oipk-calc, ig anesthesia-test, ig medium-modulate
  • 449 tests (+126 new), coverage ≥ 92%

v0.4.0 (current – final release)

  • Fractal Tesseract rendering engine (render/fractal_tesseract.py) — Recursive Phi scaling: β_n = β_0 · Φ^(n/3), ASCII animation + PNG/SVG export
  • Full 10-part chronology (chronology/) — 100% pass rate
  • Central ImplosiveGenesis class (core/genesis.py) + full_summary()
  • CLI: ig fractal-render, ig chronology-validate, ig full-summary
  • 609 tests (+160 new), coverage ≥ 90%, ruff + pre-commit 100% clean

2026 Roadmap

  • Empirical validation with real anesthesia/EEG data
  • ArXiv preprint + peer-review submission
  • Interactive web demo (Streamlit/Gradio)
  • Python package on PyPI
  • Integration with quantum-mechanics libraries (QuTiP, Qiskit)

Citation

If you use Implosive Genesis in academic work, please cite the relevant version:

@software{implosive_genesis_2025,
  author    = {GenesisAeon},
  title     = {Implosive Genesis: Recursive Emergence of Space, Time and Consciousness},
  year      = {2025},
  version   = {0.1.0},
  doi       = {10.5281/zenodo.18930089},
  url       = {https://github.com/GenesisAeon/implosive-genesis}
}

@software{implosive_genesis_2026_v02,
  author    = {GenesisAeon},
  title     = {Implosive Genesis – Formalisation \& Falsifiability},
  year      = {2026},
  version   = {0.2.0},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.18940541},
  url       = {https://github.com/GenesisAeon/implosive-genesis/releases/tag/v0.2.0}
}

@software{implosive_genesis_2026_v03,
  author    = {GenesisAeon},
  title     = {Implosive Genesis – OIPK, Medium Modulation \& Anesthesia Tests},
  year      = {2026},
  version   = {0.3.0},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.18942660},
  url       = {https://github.com/GenesisAeon/implosive-genesis/releases/tag/v0.3.0}
}

@software{implosive_genesis_2026_v04,
  author    = {GenesisAeon},
  title     = {Implosive Genesis – Fractal Rendering Engine \& Chronology Completion},
  year      = {2026},
  version   = {0.4.0},
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.18956822},
  url       = {https://github.com/GenesisAeon/implosive-genesis/releases/tag/v0.4.0}
}

DOI v1.0.0

DOI for v1.0.0 will be assigned automatically on the next GitHub Release once Zenodo–GitHub integration is enabled for this repo.


Role in the GenesisAeon Ecosystem

implosive-genesis provides the V_RIG / OIPK / Frameprinciple / Type-6 formalisms and the fractal Tesseract rendering engine used as a foundation by several other packages in the GenesisAeon ecosystem (cosmology and recursive spacetime-emergence domain), including fieldtheory, cosmic-moment, cosmic-web, entropy-governance, mandala-visualize, medium-modulation, mirror-machine, sigillin, sonification, and climate-dashboard.


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