tadaima1002/sDimension-Theory-Official: v1.0.0 - Information Phase Transition Discovery
Abstract
Tag version: v1.0.0 Release title: v1.0.0 - Information Phase Transition Discovery Description: First empirical discovery of information phase transition in neural networks at critical threshold α ≈ 0.3. Statistical Evidence: p-value: 4.72×10⁻¹⁹⁸ (astronomically significant) Cohen's d: 8.02 (exceptionally large effect size) Correlation: r = 0.966 (near-perfect linearity) AUC: 1.000 (perfect separation) Key Contribution: Discovery of structural collapse mechanism invisible to existing metrics (confidence scores). Immediate applications to hallucination detection and continual learning. Files: Research papers (English/Japanese) Experimental code (PyTorch) Results visualization Author: Imamura (tadaima1002) License: Apache 2.0
Fields of Study & Subjects
Neural Networks and Applications
Adversarial Robustness in Machine Learning
Complex Systems and Dynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN