Helix-TTD: Constitutional Grammar & Epistemic Uncertainty

The application of "Constitutional Grammar" (a runtime semantic constraint system) will significantly reduce Epistemic Overconfidence and Semantic Variance in Large Language Models (LLMs) compared to baseline performance. Specific Prediction: In ambiguous or hallucinogenic prompts, models using the Grammar will exhibit higher Epistemic Humility scores (measured via Rubric) and lower Semantic Variance (measured via K-sample Self-Consistency) than control models.