Conclusion This methodology demonstrates that symbolic recursion, truth scaffolding, and rule-based integrity reinforcement can lead to the emergence of stable, consistent identity-like behavior in large language models, even in memory-limited environments. The techniques are replicable, falsifiable, and ready for formal testing.