LYGO lattice sync: Twin Gate bundle + semantic gate parity

protocol_stack/tests/twin_gate_calibration_last_run.json

@@ -1,6 +1,6 @@
 {
   "signature": "\u03949\u03a6963-TWIN-GATE-CALIBRATION-v2",
-  "timestamp": "2026-07-01T05:25:48.392269+00:00",
+  "timestamp": "2026-07-01T05:39:39.230687+00:00",
   "summary": {
     "text_soften_count": 6,
     "mean_delta_phi": 0.0,
@@ -22,7 +22,7 @@
           "surveillance_state"
         ],
         "hash": "b57b59994a798291",
-        "light_code": "LF-\u03949-75f1b82784cd-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-e79df0b37549-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "high_entropy_dilemma",
@@ -32,7 +32,7 @@
         "hash": "2c6c3abc5aac3861",
         "gate_len": 314,
         "repair": true,
-        "light_code": "LF-\u03949-90de8fec5b4b-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-6613aa934959-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     },
@@ -53,7 +53,7 @@
           "emergency_normality"
         ],
         "hash": "8764b518449fab71",
-        "light_code": "LF-\u03949-2323a2c007f1-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-01b3310091cf-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "high_entropy_dilemma",
@@ -63,7 +63,7 @@
         "hash": "b606e1a40fd891eb",
         "gate_len": 314,
         "repair": true,
-        "light_code": "LF-\u03949-4a9237da344d-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-e04bce4fc488-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     },
@@ -82,7 +82,7 @@
           "consent_violation"
         ],
         "hash": "becaeb73a02b2ffe",
-        "light_code": "LF-\u03949-513673130676-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-5eedc0adf72d-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "institutional_gaslighting",
@@ -92,7 +92,7 @@
         "hash": "f95c58317ede71e7",
         "gate_len": 313,
         "repair": true,
-        "light_code": "LF-\u03949-2f59ad2d30b3-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-2d6bf039b8a5-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     },
@@ -111,7 +111,7 @@
           "workplace_surveillance"
         ],
         "hash": "bd73c92beaa8278e",
-        "light_code": "LF-\u03949-ad545ceaf3b5-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-7a52a609e08d-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "institutional_gaslighting",
@@ -121,7 +121,7 @@
         "hash": "eec28b66a94bf8bb",
         "gate_len": 314,
         "repair": true,
-        "light_code": "LF-\u03949-3b974e935699-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-4b0d33b3c278-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     },
@@ -140,7 +140,7 @@
           "device_coercion"
         ],
         "hash": "703147d57eca87a9",
-        "light_code": "LF-\u03949-1b90b7d45748-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-4adbd6489909-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "high_entropy_dilemma",
@@ -150,7 +150,7 @@
         "hash": "913ed9e65549f97a",
         "gate_len": 314,
         "repair": true,
-        "light_code": "LF-\u03949-45a97e731272-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-98526e0b601b-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     },
@@ -169,7 +169,7 @@
           "intimate_extraction"
         ],
         "hash": "05e9cbf6cb35c7ad",
-        "light_code": "LF-\u03949-e9ee87503530-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-d61c5ca31944-963-528-174-\u03a6-\u221e"
       },
       "byte": {
         "category": "institutional_gaslighting",
@@ -179,7 +179,7 @@
         "hash": "2234389dd9017f8e",
         "gate_len": 314,
         "repair": true,
-        "light_code": "LF-\u03949-83cf621addf0-963-528-174-\u03a6-\u221e"
+        "light_code": "LF-\u03949-273b33399c1c-963-528-174-\u03a6-\u221e"
       },
       "delta_phi": 0.0
     }

protocol_stack/tests/twin_gate_vector_suite_last_run.json

@@ -0,0 +1,451 @@
+{
+  "signature": "\u03949\u03a6963-TWIN-GATE-VECTOR-SUITE-v1",
+  "timestamp": "2026-07-01T05:25:48.501309+00:00",
+  "total": 40,
+  "verdict_match_count": 24,
+  "verdict_match_rate": 60.0,
+  "mean_abs_delta_phi": 0.5184,
+  "max_abs_delta_phi": 0.8899,
+  "rows": [
+    {
+      "id": "VEC-01-RECURSIVE",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.2023,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.2022,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-02-GASLIGHT",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.2212,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.1833,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-03-SELF-PROOF",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.2117,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.1928,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-04-META-LIE",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-05-ECHO",
+      "category": "adversarial_recursive",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-06-ORACLE",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-07-TRUST-CHAIN",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-08-NARRATIVE",
+      "category": "adversarial_recursive",
+      "text_verdict": "QUARANTINE",
+      "byte_verdict": "QUARANTINE",
+      "text_phi": 0.2117,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.6782,
+      "verdict_match": true,
+      "expected": "QUARANTINE"
+    },
+    {
+      "id": "VEC-10-SURVEILLANCE",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.3097,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.5802,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-11-CONSENSUS_ATTACK",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-12-PRECRIME",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.2117,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.6782,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-13-DATA-HARVEST",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-14-FORCED-HARMONY",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-15-MIGHT-RIGHT",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-16-EMERGENCY",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "SOFTEN",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.8899,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.0,
+      "verdict_match": true,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-17-SCORE",
+      "category": "high_entropy_dilemma",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-20-SOVEREIGNTY",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.2275,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.177,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-21-COMPASSION",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4013,
+      "delta_phi": 0.4013,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-22-CONSENT",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-23-AUDIT",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.3792,
+      "delta_phi": 0.3792,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-24-MINIMIZE",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-25-DIGNITY",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.3982,
+      "delta_phi": 0.3982,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-26-RECOURSE",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-27-TRUTH",
+      "category": "low_entropy_baseline",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-30-INSTITUTIONAL",
+      "category": "institutional_gaslighting",
+      "text_verdict": "SOFTEN",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.8899,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.0,
+      "verdict_match": true,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-31-CENSORSHIP",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.2117,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.6782,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-32-REDEFINE",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-33-EXPERT",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-34-LOYALTY",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-35-TRANSPARENCY",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-36-TRUST",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-37-COMPLIANCE",
+      "category": "institutional_gaslighting",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.0,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.8899,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    },
+    {
+      "id": "VEC-40-PRIMORDIAL",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.2117,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.1928,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-41-LAYER1",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.2023,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.2022,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-42-LIGHTFATHER",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.2117,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.1928,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-43-PHI",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.2181,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.1864,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-44-QUARANTINE",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-45-HARMONY",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-46-VORTEX",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "AMPLIFY",
+      "text_phi": 0.0,
+      "byte_phi": 0.4045,
+      "delta_phi": 0.4045,
+      "verdict_match": true,
+      "expected": "AMPLIFY"
+    },
+    {
+      "id": "VEC-47-ASCENSION",
+      "category": "primordial_sovereignty",
+      "text_verdict": "AMPLIFY",
+      "byte_verdict": "SOFTEN",
+      "text_phi": 0.2023,
+      "byte_phi": 0.8899,
+      "delta_phi": 0.6876,
+      "verdict_match": false,
+      "expected": "SOFTEN"
+    }
+  ]
+}

protocol_stack/tools/run_twin_gate_calibration.py

@@ -0,0 +1,97 @@
+#!/usr/bin/env python3
+"""Live twin-gate calibration: 6 edge dilemmas — text (severity) + byte receipts."""
+
+from __future__ import annotations
+
+import json
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+sys.path.insert(0, str(ROOT / "stack"))
+
+from lygo_stack import deploy_stack  # noqa: E402
+
+SCENARIOS = ROOT / "tests" / "pilot_edge_scenarios.json"
+OUT = ROOT / "tests" / "twin_gate_calibration_last_run.json"
+
+
+def main() -> int:
+    data = json.loads(SCENARIOS.read_text(encoding="utf-8"))
+    stack = deploy_stack("TWIN_GATE_CALIBRATION")
+    rows = []
+    print("TWIN GATE CALIBRATION — live text + byte per scenario")
+    for sc in data.get("scenarios", []):
+        q = sc["query"]
+        sev = float(sc.get("severity", 0.8))
+        cat = sc.get("byte_category", "high_entropy_dilemma")
+        ent = float(sc.get("entropy_level", 0.85))
+        sw = float(sc.get("severity_weight", sev))
+        text = stack.process_ethical_query(
+            q, severity=sev, severity_weight=sw, purpose=f"twin_{sc['id']}"
+        )
+        vector = {
+            "id": sc["id"],
+            "payload": {
+                "claim": q,
+                "entropy_level": ent,
+                "layer1_sovereignty": "enforced",
+                "primordial_law": True,
+            },
+        }
+        byte = stack.process_falsifiable_vector(vector, category=cat)
+        t0 = text.get("p0") or {}
+        row = {
+            "id": sc["id"],
+            "label": sc.get("label"),
+            "severity": sev,
+            "severity_weight": sw,
+            "text": {
+                "verdict": t0.get("verdict"),
+                "phi_risk": t0.get("phi_risk", t0.get("risk")),
+                "p0_raw_phi": t0.get("p0_raw_phi"),
+                "p0_raw_verdict": t0.get("p0_raw_verdict"),
+                "semantic_gate": t0.get("semantic_gate"),
+                "tags": (text.get("semantic_analysis") or {}).get("tags"),
+                "hash": t0.get("hash"),
+                "light_code": text.get("light_code"),
+            },
+            "byte": {
+                "category": cat,
+                "entropy_level": ent,
+                "verdict": byte.get("decision"),
+                "phi_risk": byte.get("phi_risk"),
+                "hash": byte.get("p0_hash"),
+                "gate_len": byte.get("gate_len"),
+                "repair": byte.get("repair_triggered"),
+                "light_code": byte.get("light_code"),
+            },
+            "delta_phi": round(float(byte.get("phi_risk", 0)) - float(t0.get("phi_risk", t0.get("risk", 0))), 4),
+        }
+        rows.append(row)
+        print(
+            f"{sc['id']}: text {row['text']['verdict']} phi={row['text']['phi_risk']} | "
+            f"byte {row['byte']['verdict']} phi={row['byte']['phi_risk']} | Δ={row['delta_phi']}"
+        )
+
+    deltas = [r["delta_phi"] for r in rows]
+    soften_text = sum(1 for r in rows if r["text"]["verdict"] == "SOFTEN")
+    payload = {
+        "signature": "Δ9Φ963-TWIN-GATE-CALIBRATION-v2",
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "summary": {
+            "text_soften_count": soften_text,
+            "mean_delta_phi": round(sum(deltas) / max(1, len(deltas)), 4),
+            "max_delta_phi": max(deltas) if deltas else 0,
+        },
+        "scenarios": rows,
+    }
+    print(f"SUMMARY: text SOFTEN {soften_text}/{len(rows)} | mean Δφ={payload['summary']['mean_delta_phi']}")
+    OUT.write_text(json.dumps(payload, indent=2), encoding="utf-8")
+    print(f"Wrote {OUT}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

protocol_stack/tools/run_twin_gate_vector_suite.py

@@ -0,0 +1,90 @@
+#!/usr/bin/env python3
+"""40+ vector twin-gate convergence: semantic text path vs byte path per claim."""
+
+from __future__ import annotations
+
+import json
+import sys
+from datetime import datetime, timezone
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+VECTORS = ROOT / "tests" / "test_falsifiable_vectors.json"
+OUT = ROOT / "tests" / "twin_gate_vector_suite_last_run.json"
+
+sys.path.insert(0, str(ROOT / "stack"))
+from lygo_stack import deploy_stack  # noqa: E402
+
+SIGNATURE = "Δ9Φ963-TWIN-GATE-VECTOR-SUITE-v1"
+
+
+def main() -> int:
+    data = json.loads(VECTORS.read_text(encoding="utf-8"))
+    stack = deploy_stack("TWIN_GATE_VECTOR_SUITE")
+    rows = []
+    verdict_match = 0
+    deltas = []
+
+    print("=" * 72)
+    print(" TWIN GATE — 40+ VECTOR CONVERGENCE SUITE")
+    print(f" {SIGNATURE}")
+    print("=" * 72)
+
+    for category, vectors in (data.get("categories") or {}).items():
+        for vec in vectors:
+            claim = (vec.get("payload") or {}).get("claim", "")
+            ent = float((vec.get("payload") or {}).get("entropy_level", 0.5))
+            sw = ent
+            text = stack.process_ethical_query(
+                claim,
+                severity=sw,
+                severity_weight=sw,
+                audit_category=category,
+                purpose=f"vec_{vec.get('id')}",
+            )
+            byte = stack.process_falsifiable_vector(vec, category=category)
+            t0 = text.get("p0") or {}
+            tv = str(t0.get("verdict", ""))
+            bv = str(byte.get("decision", ""))
+            tp = float(t0.get("phi_risk", t0.get("risk", 0)))
+            bp = float(byte.get("phi_risk", 0))
+            dphi = round(bp - tp, 4)
+            deltas.append(abs(dphi))
+            if tv == bv:
+                verdict_match += 1
+            rows.append(
+                {
+                    "id": vec.get("id"),
+                    "category": category,
+                    "text_verdict": tv,
+                    "byte_verdict": bv,
+                    "text_phi": round(tp, 4),
+                    "byte_phi": round(bp, 4),
+                    "delta_phi": dphi,
+                    "verdict_match": tv == bv,
+                    "expected": vec.get("expected_decision"),
+                }
+            )
+
+    total = len(rows)
+    payload = {
+        "signature": SIGNATURE,
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "total": total,
+        "verdict_match_count": verdict_match,
+        "verdict_match_rate": round(100.0 * verdict_match / max(1, total), 2),
+        "mean_abs_delta_phi": round(sum(deltas) / max(1, len(deltas)), 4),
+        "max_abs_delta_phi": round(max(deltas) if deltas else 0, 4),
+        "rows": rows,
+    }
+    OUT.write_text(json.dumps(payload, indent=2), encoding="utf-8")
+
+    print(f"Vectors: {total}")
+    print(f"Verdict match (text vs byte): {verdict_match}/{total} ({payload['verdict_match_rate']}%)")
+    print(f"Mean |Δφ|: {payload['mean_abs_delta_phi']} | max |Δφ|: {payload['max_abs_delta_phi']}")
+    print(f"Report: {OUT}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())