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Available Versions

All versions are available for transparency and to establish documented prediction priority. Earlier versions contain predictions made before experimental validation.

Current Version
Version 3.5
Published: November 15, 2025

Latest pre-release evaluation version with updated validation tracking and framework refinements.

Changes in Version 3.5

  • Added comprehensive validation tracking system
  • Updated cosmic information density predictions
  • Enhanced quantum computing optimization framework
  • New predictions for upcoming JWST observations
  • Refined consciousness emergence model
  • Updated references with 2025 experimental results
  • Improved mathematical notation consistency
Version 3.4
Published: September 8, 2025

Updated quantum mechanics chapter with recent experimental insights.

Changes in Version 3.4

  • Expanded quantum entanglement discussion
  • New section on quantum computing implications
  • Updated predictions for particle physics experiments
  • Enhanced information processing framework
  • Additional worked examples in appendices
  • Improved cross-referencing system
Version 3.3
Published: August 1, 2025

Refinements to consciousness framework and information dynamics.

Changes in Version 3.3

  • Enhanced consciousness emergence model with biological examples
  • New section on information flow in neural networks
  • Updated dark energy parameter constraints
  • Expanded glossary with additional technical terms
  • Corrections to references formatting
Version 3.2
Published: July 2, 2025

Expanded predictions and mathematical rigor improvements.

Changes in Version 3.2

  • New testable predictions for particle physics experiments
  • Enhanced mathematical proofs in appendices
  • Added section on computational complexity bounds
  • Improved notation consistency throughout
  • Updated figures with higher resolution versions
Version 3.1
Published: May 28, 2025

Minor corrections and clarifications based on initial reader feedback.

Changes in Version 3.1

  • Corrected typos and formatting inconsistencies
  • Clarified explanations in quantum mechanics chapters
  • Added index for easier navigation
  • Updated web links and references
  • Minor revisions to introduction chapter
Version 3.0
Published: April 15, 2025

Major update featuring validated predictions from DESI, Google's Willow quantum chip, and JWST observations.

Major Updates in Version 3.0

  • Added DESI dark energy validation analysis (January 2025)
  • Updated quantum computing section with Willow chip error correction results
  • Expanded JWST early galaxy formation predictions and confirmations
  • New chapter: Could the Universe Use Prime Numbers as Logic Gates
  • Enhanced mathematical appendices with detailed proofs
  • Comprehensive updated citations and references
  • Galaxy asymmetry predictions documented
Version 2.0
Published: August 12, 2024

Major update including quantum error correction predictions (later validated by Google's Willow chip) and expanded consciousness framework.

Changes in Version 2.0

  • Added quantum error correction optimization predictions
  • Expanded consciousness and information processing chapters
  • New section on computational boundaries in physics
  • Enhanced dark energy evolution models
  • Additional mathematical proofs and derivations
  • Refined terminology and explanations
Version 1.0
Published: March 5, 2024

Original release establishing The COSMIC Framework and initial predictions that were later experimentally validated.

Original Content

  • Complete COSMIC Framework foundation
  • Dark energy evolution predictions (validated by DESI 2024-2025)
  • Early galaxy formation predictions (confirmed by JWST)
  • Information-consciousness relationship framework
  • Mathematical framework and derivations
  • Testable predictions across multiple domains

How to Cite This Work

If you reference this work in your research, please use the following citation format:

Bai, M. K. (2025). A Quest for The Big TOE: The COSMIC Framework Unification Theory (Version 3.5). Ic² Research Institute. Retrieved from https://ic2institute.org/download