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Preprint . 2025
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Other literature type . 2025
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Preprint . 2025
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Other literature type . 2025
License: CC BY
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Other literature type . 2025
License: CC BY
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COSMIC Framework: An Information-Theoretic Approach to Grand Unification

Authors: Baines, Michael;

COSMIC Framework: An Information-Theoretic Approach to Grand Unification

Abstract

We propose the COSMIC (Computational Optimization of Spacetime through Mathematical Intelligence and Constants) Framework, a comprehensive theoretical approach that unifies all fundamental forces, quantum mechanics, and general relativity through information-theoretic principles. The framework is grounded in claimed empirical observations of mathematical constant evolution across WMAP frequency bands, where π exhibits systematic variation from -0.68σ to +0.21σ with correlation r=0.91 across the 23-94 GHz range. We present four interconnected theoretical components: Pattern-Emergent Gravity (PEG), Universal Information Processing, TransPlanck Dynamics, and Adaptive Quantization, with natural force unification through mathematical constant field optimization. If validated, this framework suggests the universe operates as a computational system optimizing mathematical efficiency, with all forces and quantization emerging from information processing rather than being fundamental. The theory makes specific experimental predictions for information-gravity coupling, mathematical constant physics, and force unification, potentially resolving major physics problems, including the hierarchy problem, fine-tuning, black hole information paradox, and consciousness-expansion connection. This work represents a complete Theory of Everything requiring extensive experimental validation and peer review.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average