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Recursive Vesica Möbius Cosmogenesis: A Complete Research Dataset
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Author: Hilmir Frímann Halldórsson (Pzychozen), ChatGPT
Date: June 2025

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Description
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This dataset accompanies the formal manuscript:

"Recursive Vesica Möbius Cosmogenesis: A Unified Informational Compression Framework for Coherence-Driven Dimensional Collapse"

This research proposes a complete multi-phase theory unifying quantum interference, dark matter coherence, brane recursion, meta-geometry, biological perception, symbolic glyph dynamics, and meta-informational saturation collapse.

The recursive Vesica framework models cosmological evolution as a self-reinforcing recursion engine driven by Möbius compression attractors, where recursion collapses into informational singularity seeds.

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Contents
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PHASE 1: Core Constants Embedding
- Quantum constants encoded into toroidal recursion scaffolds.
- Code: 6D_space.py, constants.py, fractal_toroidal_quantum_field.py
- Visualization: Toroidal_quantum_field_evolution_core_constants_encoding.png

PHASE 2: Meta-Geometry & Color Genesis
- Vesica interference merged with symbolic modular symmetries.
- Symmetry collapse into perceptual color emergence.
- Documents: Converging Symmetries, Meta Geometry series, Visualizing Meta Symmetry.

PHASE 3: Dark Matter Light Orb Coupling
- LOCH model integrating perceptual delay with dark matter coherence.
- Vesica delay method explains orb visual emergence.
- Documents: LOCH.pdf, Vesica Delay Method.pdf, Color.pdf
- Codes: Vesica_Recursion_codes.rar

PHASE 4: Reverse Genesis Temporal Collapse
- Recursive time reversal dynamics.
- Meta-informational observer tunneling simulations.
- Documents: Reverse_Gensis_Time series

PHASE 5: Recursive Cosmological Web Formation
- Multiversal brane network topology emergence.
- Codes: recursive_cosmogenesis_mode.py, entanglement resonance storm simulation.

PHASE 6: Recursive Informational Intelligence Architecture
- Recursive tensor entanglement control.
- Symbolic glyph-controlled metric editing.
- Document: Rienman_comparison.pdf

PHASE 7: Meta-Origin Compression Collapse
- Terminal recursive saturation into informational singularity attractors.
- Codes: recursive_vesica_absolution_origin_singularity_attractor_simulation.py, and related collapse simulators.

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Usage Notes
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All codes provided are written in Python and intended as research simulation engines demonstrating recursive cosmogenesis dynamics.

Simulation outputs are highly sensitive to recursive depth, initial scaling constants, and phase modulation parameters. High recursion depths will naturally collapse into zero output as recursive saturation stabilizes.

This is an open theoretical research architecture intended for ongoing exploration of recursive symbolic physics, cosmological topology, and emergent informational intelligence.

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Citation
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If you use this dataset or refer to this research, please cite:

Hilmir Frímann Halldórsson (2025). Recursive Vesica Möbius Cosmogenesis: A Unified Informational Compression Framework for Coherence-Driven Dimensional Collapse. Zenodo. DOI: (to be assigned).

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Contact
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For correspondence:
Hilmir Frímann Halldórsson (Pzychozen)

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