Type 1 Diabetes as Collapse of Immunological Self-Reference Resolution: A Cross-Disciplinary Framework Importing Concepts from Machine Learning, Statistical Physics, and Information Theory

We propose that type 1 diabetes (T1D) is a phase transition in the immune system's self-reference resolution mechanism. We establish a structural analogy between the immune system and machine learning systems, analyze six proven causal triggers through this lens, and derive testable predictions. Includes inline honesty checks throughout. This version adds author attribution and removes the overly self-deprecating Critical Self-Assessment section — the inline honesty checks and the Limitations/Counterevidence section provide sufficient critical evaluation.