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README.md

@@ -57,3 +57,12 @@ logits, _, _ = lens.apply(model, "Fact: the currency of the country shaped like
 
 Findings, caveats, and every analysis script:
 [github.com/solarkyle/jspace](https://github.com/solarkyle/jspace)
+
+## Router weights (`router/`)
+
+`workspace_router_e4b.json` - the trained hallucination-risk classifier
+(logistic regression, 10 workspace features / 14 combined) from the repo's
+`analyze_router.py`. Trained on E4B, transfers zero-shot to the other Gemmas
+when features are z-scored per model (AUC 0.74-0.78). Predicts P(wrong);
+escalate when risk exceeds your budget threshold. Feature definitions in
+[analyze_router.py](https://github.com/solarkyle/jspace/blob/master/analyze_router.py).