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architecture.mmd

@@ -1,21 +1,27 @@
-flowchart TB
-    INPUT["Input<br/>(drug_a, drug_b)<br/>e.g. warfarin + ibuprofen"]
-    ENCODE["encode_pair → 193-dim ternary feature vector<br/>• 64 BLAKE2b-128 hash trits per drug (×2 = 128 bits)<br/>• 26 ATC pharmacology flag bits per drug (×2 = 52 bits)<br/>• 13 pair-derived DDI rule bits"]
-    A["A Bundle (gate, 256-hidden)<br/>193 → 256 → 5<br/>ternary weights, Q16.16 biases<br/>bundle_id: 1f0f8859...<br/>50,949 params, 118 KB<br/>100% recall: contra (44/44), major (4/4)<br/>0 contra FP, 0 major FP"]
-    B["B Bundle (tier-2 specialist, 64-hidden)<br/>193 → 64 → 5<br/>ternary weights, Q16.16 biases<br/>bundle_id: 5f7ed5f6...<br/>~12,300 params, 30 KB<br/>trained on non-contra subset (95 samples)<br/>100% recall: serious (69/69), moderate (22/22)"]
-    DISPATCH["Cascade Dispatcher<br/>if A predicts contraindicated → contraindicated<br/>else → B's constrained argmax over moderate / serious / major<br/>composite weights_id = a_id + b_id (129 chars)"]
-    OUT["BitNetResult<br/>severity_name ∈ {none, moderate, serious, major, contraindicated}<br/>logits_q16: 5× Q16.16 fixed-point logits<br/>feature_hash: SHA-256 over 193-dim feature vector<br/>repro_hash: SHA-256 over feature_hash + logits + severity + weights_id<br/>weights_id: composite a_id + b_id<br/>= bit-identical replay primitive, verifiable on any chip, decades later"]
+flowchart LR
+    INPUT(["drug_a + drug_b"])
+    ENCODE["encode_pair<br/>193 trits"]
+    A["<b>A bundle</b><br/>193 → 256 → 5<br/>gate"]
+    B["<b>B bundle</b><br/>193 → 64 → 5<br/>specialist"]
+    DISPATCH{{"cascade<br/>dispatch"}}
+    OUT(["BitNetResult<br/>+ repro_hash"])
 
     INPUT --> ENCODE
     ENCODE --> A
     ENCODE --> B
-    A --> DISPATCH
-    B --> DISPATCH
+    A -->|"if contra"| DISPATCH
+    B -->|"else argmax"| DISPATCH
     DISPATCH --> OUT
 
-    style INPUT fill:#EFF6FF,stroke:#2563eb,color:#1e3a8a,stroke-width:2px
-    style ENCODE fill:#F0FDFA,stroke:#0F766E,color:#134E4A,stroke-width:2px
-    style A fill:#FEF2F2,stroke:#dc2626,color:#7f1d1d,stroke-width:2px
-    style B fill:#EFF6FF,stroke:#2563eb,color:#1e3a8a,stroke-width:2px
-    style DISPATCH fill:#FEF3C7,stroke:#d97706,color:#7c2d12,stroke-width:2px
-    style OUT fill:#F0FDF4,stroke:#16a34a,color:#14532d,stroke-width:2px
+    classDef io fill:#EFF6FF,stroke:#2563eb,color:#1e3a8a,stroke-width:2px
+    classDef enc fill:#F0FDFA,stroke:#0F766E,color:#134E4A,stroke-width:2px
+    classDef bundleA fill:#FEF2F2,stroke:#dc2626,color:#7f1d1d,stroke-width:2px
+    classDef bundleB fill:#EFF6FF,stroke:#2563eb,color:#1e3a8a,stroke-width:2px
+    classDef disp fill:#FEF3C7,stroke:#d97706,color:#7c2d12,stroke-width:2px
+    classDef result fill:#F0FDF4,stroke:#16a34a,color:#14532d,stroke-width:2px
+
+    class INPUT,OUT io
+    class ENCODE enc
+    class A bundleA
+    class B bundleB
+    class DISPATCH disp