HAL-RINS Research

Constitutional AI Immune System

The first federated zero-knowledge proof hallucination immunity network. Three peer-review grade studies in progress. Results published with full cryptographic reproducibility.

Study A

Layer Ablation

In Progress

Study B

Type Mapping

Designed

Study C

Order Permutation

Designed

Pre-Registered Hypotheses

H1: Full 8-layer HAL achieves highest true positive catch rate

H2: PCV is the single highest-value layer

H3: SBFA provides unique value for statistical prompts

H4: BFT+PCV achieves >60% of full HAL at <30% latency

H5: Small models benefit MORE from full HAL than large models

H6: Overconfidence (>85%) is strongest hallucination predictor

H7: ANFIS shows measurable improvement on repeated runs

Full results dashboard launching post-Demo Day April 22.