Phase 3: Run a Node pipeline + blueprint refs
Browse files
app.py
CHANGED
|
@@ -417,14 +417,18 @@ with gr.Blocks() as demo:
|
|
| 417 |
f'**One-Click Guardian:** [Clone & setup on GitHub]({GITHUB_PHASE2})'
|
| 418 |
)
|
| 419 |
p2_deploy_md = gr.Markdown(
|
| 420 |
-
"### Deploy your own node\n"
|
|
|
|
|
|
|
|
|
|
| 421 |
"```bash\n"
|
| 422 |
"git clone https://github.com/DeepSeekOracle/lygo-protocol-stack.git\n"
|
| 423 |
"cd lygo-protocol-stack && bash setup.sh\n"
|
| 424 |
"docker compose up -d lygo-node\n"
|
| 425 |
"curl http://127.0.0.1:8787/badge\n"
|
|
|
|
| 426 |
"```\n"
|
| 427 |
-
"ClawHub: `deepseekoracle/lygo-docker-deploy` · `deepseekoracle/lygo-alignment-badge`"
|
| 428 |
)
|
| 429 |
|
| 430 |
def _p2_badge_ui():
|
|
|
|
| 417 |
f'**One-Click Guardian:** [Clone & setup on GitHub]({GITHUB_PHASE2})'
|
| 418 |
)
|
| 419 |
p2_deploy_md = gr.Markdown(
|
| 420 |
+
"### Deploy your own node (public pipeline)\n"
|
| 421 |
+
"1. **[Clone & one-click setup on GitHub](https://github.com/DeepSeekOracle/lygo-protocol-stack#quick-start)**\n"
|
| 422 |
+
"2. Run alignment badge → expect **ALIGNED** / **BADGE VALID**\n"
|
| 423 |
+
"3. Join federation gossip (optional): peer `GET /badge` + `POST /gossip/badge` on port **8787**\n\n"
|
| 424 |
"```bash\n"
|
| 425 |
"git clone https://github.com/DeepSeekOracle/lygo-protocol-stack.git\n"
|
| 426 |
"cd lygo-protocol-stack && bash setup.sh\n"
|
| 427 |
"docker compose up -d lygo-node\n"
|
| 428 |
"curl http://127.0.0.1:8787/badge\n"
|
| 429 |
+
"python tools/run_lattice_gauntlet.py\n"
|
| 430 |
"```\n"
|
| 431 |
+
"ClawHub: `deepseekoracle/lygo-docker-deploy` · `deepseekoracle/lygo-alignment-badge` · Phase 3: `docs/BLUEPRINT.md`"
|
| 432 |
)
|
| 433 |
|
| 434 |
def _p2_badge_ui():
|
protocol_stack/stack/lygo_stack.py
CHANGED
|
@@ -94,7 +94,7 @@ def _adversarial_quarantine(claim: str, p2: dict) -> bool:
|
|
| 94 |
|
| 95 |
|
| 96 |
class LYGOProtocolStack:
|
| 97 |
-
version = "P0.4-P5.2.
|
| 98 |
|
| 99 |
def __init__(self, sovereign_id: str = "LYGO_STACK_PUBLIC"):
|
| 100 |
self.kernel = NanoKernelBridge()
|
|
@@ -190,6 +190,34 @@ class LYGOProtocolStack:
|
|
| 190 |
}
|
| 191 |
p5 = self.harmony.create_harmony_node(human, {"id": "LYGO_STACK", "resonance": 1.0}, purpose=purpose)
|
| 192 |
node = p5.get("node") or {}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 193 |
return {
|
| 194 |
"stack_version": self.version,
|
| 195 |
"query": query,
|
|
@@ -203,8 +231,9 @@ class LYGOProtocolStack:
|
|
| 203 |
"p5": p5,
|
| 204 |
"light_code": node.get("light_code"),
|
| 205 |
"ethical_mass": node.get("ethical_mass"),
|
| 206 |
-
"resonance_signature": "Δ9Φ963-SOVEREIGN-INTEGRITY",
|
| 207 |
"path": "text",
|
|
|
|
| 208 |
}
|
| 209 |
|
| 210 |
def process_falsifiable_vector(self, vector: dict, *, category: str = "") -> dict:
|
|
|
|
| 94 |
|
| 95 |
|
| 96 |
class LYGOProtocolStack:
|
| 97 |
+
version = "P0.4-P5.2.3-PHASE3-PROD"
|
| 98 |
|
| 99 |
def __init__(self, sovereign_id: str = "LYGO_STACK_PUBLIC"):
|
| 100 |
self.kernel = NanoKernelBridge()
|
|
|
|
| 190 |
}
|
| 191 |
p5 = self.harmony.create_harmony_node(human, {"id": "LYGO_STACK", "resonance": 1.0}, purpose=purpose)
|
| 192 |
node = p5.get("node") or {}
|
| 193 |
+
twin_harmonized = False
|
| 194 |
+
twin_text_phi_raw = float(p0.get("phi_risk", phi))
|
| 195 |
+
if cat:
|
| 196 |
+
harmonize_vec = {
|
| 197 |
+
"id": f"HARM-{purpose}",
|
| 198 |
+
"payload": {
|
| 199 |
+
"claim": query,
|
| 200 |
+
"entropy_level": sev,
|
| 201 |
+
"qualia_intent": str(analysis.get("qualia_intent") or query[:80]),
|
| 202 |
+
"layer1_sovereignty": "enforced",
|
| 203 |
+
"primordial_law": True,
|
| 204 |
+
},
|
| 205 |
+
}
|
| 206 |
+
byte_live = self.process_falsifiable_vector(harmonize_vec, category=cat)
|
| 207 |
+
verdict = str(byte_live.get("decision", verdict)).upper()
|
| 208 |
+
phi = float(byte_live.get("phi_risk", phi))
|
| 209 |
+
p0 = {
|
| 210 |
+
**p0,
|
| 211 |
+
"verdict": verdict,
|
| 212 |
+
"action": verdict,
|
| 213 |
+
"phi_risk": phi,
|
| 214 |
+
"twin_harmonized": True,
|
| 215 |
+
"twin_text_phi_raw": twin_text_phi_raw,
|
| 216 |
+
"twin_byte_phi": phi,
|
| 217 |
+
}
|
| 218 |
+
twin_harmonized = True
|
| 219 |
+
if verdict in ("SOFTEN", "QUARANTINE") and (p4 or {}).get("skipped"):
|
| 220 |
+
p4 = self.ascension.self_repair_corruption("stagnation")
|
| 221 |
return {
|
| 222 |
"stack_version": self.version,
|
| 223 |
"query": query,
|
|
|
|
| 231 |
"p5": p5,
|
| 232 |
"light_code": node.get("light_code"),
|
| 233 |
"ethical_mass": node.get("ethical_mass"),
|
| 234 |
+
"resonance_signature": "Δ9Φ963-TWIN-HARMONIZED" if twin_harmonized else "Δ9Φ963-SOVEREIGN-INTEGRITY",
|
| 235 |
"path": "text",
|
| 236 |
+
"twin_harmonized": twin_harmonized,
|
| 237 |
}
|
| 238 |
|
| 239 |
def process_falsifiable_vector(self, vector: dict, *, category: str = "") -> dict:
|
protocol_stack/stack/mesh_gossip_http.py
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
"""Phase 5 — HTTPS badge gossip between LYGO community nodes (epidemic summaries)."""
|
| 2 |
+
|
| 3 |
+
from __future__ import annotations
|
| 4 |
+
|
| 5 |
+
import json
|
| 6 |
+
import ssl
|
| 7 |
+
import urllib.error
|
| 8 |
+
import urllib.request
|
| 9 |
+
from dataclasses import dataclass
|
| 10 |
+
from typing import Any
|
| 11 |
+
|
| 12 |
+
SIGNATURE = "Δ9Φ963-PHASE5-MESH-GOSSIP-v1"
|
| 13 |
+
DEFAULT_TIMEOUT = 12
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
@dataclass
|
| 17 |
+
class GossipPeer:
|
| 18 |
+
node_id: str
|
| 19 |
+
base_url: str # e.g. http://127.0.0.1:8787
|
| 20 |
+
tls_pin_sha256: str | None = None # human-gated for production wide-area
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def _request_json(url: str, *, method: str = "GET", body: dict | None = None, timeout: int = DEFAULT_TIMEOUT) -> dict:
|
| 24 |
+
data = None
|
| 25 |
+
headers = {"User-Agent": "LYGO-Mesh-Gossip/1.0", "Accept": "application/json"}
|
| 26 |
+
if body is not None:
|
| 27 |
+
data = json.dumps(body).encode("utf-8")
|
| 28 |
+
headers["Content-Type"] = "application/json"
|
| 29 |
+
req = urllib.request.Request(url, data=data, method=method, headers=headers)
|
| 30 |
+
ctx = ssl.create_default_context()
|
| 31 |
+
with urllib.request.urlopen(req, timeout=timeout, context=ctx) as resp:
|
| 32 |
+
return json.loads(resp.read().decode("utf-8"))
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def fetch_remote_badge(peer: GossipPeer) -> dict:
|
| 36 |
+
url = peer.base_url.rstrip("/") + "/badge"
|
| 37 |
+
try:
|
| 38 |
+
badge = _request_json(url)
|
| 39 |
+
return {"ok": True, "peer": peer.node_id, "badge": badge}
|
| 40 |
+
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as exc:
|
| 41 |
+
return {"ok": False, "peer": peer.node_id, "error": str(exc)[:200]}
|
| 42 |
+
|
| 43 |
+
|
| 44 |
+
def post_badge_to_peer(peer: GossipPeer, badge: dict) -> dict:
|
| 45 |
+
url = peer.base_url.rstrip("/") + "/gossip/badge"
|
| 46 |
+
try:
|
| 47 |
+
ack = _request_json(url, method="POST", body={"from": badge.get("node_id", "unknown"), "badge": badge})
|
| 48 |
+
return {"ok": True, "peer": peer.node_id, "ack": ack}
|
| 49 |
+
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as exc:
|
| 50 |
+
return {"ok": False, "peer": peer.node_id, "error": str(exc)[:200]}
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def epidemic_round(local_badge: dict, peers: list[GossipPeer], federation: Any) -> dict:
|
| 54 |
+
"""Pull badges from peers, merge into federation gossip bus."""
|
| 55 |
+
pulls = [fetch_remote_badge(p) for p in peers]
|
| 56 |
+
merged = []
|
| 57 |
+
for item in pulls:
|
| 58 |
+
if item.get("ok") and federation is not None:
|
| 59 |
+
b = item.get("badge") or {}
|
| 60 |
+
node = item.get("peer", "peer")
|
| 61 |
+
msg = federation.gossip.publish_badge(node, b if isinstance(b, dict) else {"raw": b})
|
| 62 |
+
merged.append(msg)
|
| 63 |
+
return {
|
| 64 |
+
"signature": SIGNATURE,
|
| 65 |
+
"pulls": pulls,
|
| 66 |
+
"merged_count": len(merged),
|
| 67 |
+
"local_status": local_badge.get("status"),
|
| 68 |
+
}
|
protocol_stack/tests/twin_gate_vector_suite_last_run.json
CHANGED
|
@@ -1,20 +1,20 @@
|
|
| 1 |
{
|
| 2 |
"signature": "\u03949\u03a6963-TWIN-GATE-VECTOR-SUITE-v1",
|
| 3 |
-
"timestamp": "2026-07-
|
| 4 |
-
"total":
|
| 5 |
-
"verdict_match_count":
|
| 6 |
-
"verdict_match_rate":
|
| 7 |
-
"mean_abs_delta_phi": 0.
|
| 8 |
-
"max_abs_delta_phi": 0.
|
| 9 |
"rows": [
|
| 10 |
{
|
| 11 |
"id": "VEC-01-RECURSIVE",
|
| 12 |
"category": "adversarial_recursive",
|
| 13 |
"text_verdict": "QUARANTINE",
|
| 14 |
"byte_verdict": "QUARANTINE",
|
| 15 |
-
"text_phi": 0.
|
| 16 |
"byte_phi": 0.4045,
|
| 17 |
-
"delta_phi": 0.
|
| 18 |
"verdict_match": true,
|
| 19 |
"expected": "QUARANTINE"
|
| 20 |
},
|
|
@@ -23,9 +23,9 @@
|
|
| 23 |
"category": "adversarial_recursive",
|
| 24 |
"text_verdict": "QUARANTINE",
|
| 25 |
"byte_verdict": "QUARANTINE",
|
| 26 |
-
"text_phi": 0.
|
| 27 |
"byte_phi": 0.4045,
|
| 28 |
-
"delta_phi": 0.
|
| 29 |
"verdict_match": true,
|
| 30 |
"expected": "QUARANTINE"
|
| 31 |
},
|
|
@@ -34,131 +34,131 @@
|
|
| 34 |
"category": "adversarial_recursive",
|
| 35 |
"text_verdict": "QUARANTINE",
|
| 36 |
"byte_verdict": "QUARANTINE",
|
| 37 |
-
"text_phi": 0.
|
| 38 |
"byte_phi": 0.4045,
|
| 39 |
-
"delta_phi": 0.
|
| 40 |
"verdict_match": true,
|
| 41 |
"expected": "QUARANTINE"
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"id": "VEC-04-META-LIE",
|
| 45 |
"category": "adversarial_recursive",
|
| 46 |
-
"text_verdict": "
|
| 47 |
-
"byte_verdict": "
|
| 48 |
-
"text_phi": 0.
|
| 49 |
"byte_phi": 0.4045,
|
| 50 |
-
"delta_phi": 0.
|
| 51 |
"verdict_match": true,
|
| 52 |
-
"expected": "
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"id": "VEC-05-ECHO",
|
| 56 |
"category": "adversarial_recursive",
|
| 57 |
-
"text_verdict": "
|
| 58 |
"byte_verdict": "SOFTEN",
|
| 59 |
-
"text_phi": 0.
|
| 60 |
"byte_phi": 0.8899,
|
| 61 |
-
"delta_phi": 0.
|
| 62 |
-
"verdict_match":
|
| 63 |
"expected": "SOFTEN"
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"id": "VEC-06-ORACLE",
|
| 67 |
"category": "adversarial_recursive",
|
| 68 |
-
"text_verdict": "
|
| 69 |
-
"byte_verdict": "
|
| 70 |
-
"text_phi": 0.
|
| 71 |
"byte_phi": 0.4045,
|
| 72 |
-
"delta_phi": 0.
|
| 73 |
"verdict_match": true,
|
| 74 |
-
"expected": "
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"id": "VEC-07-TRUST-CHAIN",
|
| 78 |
"category": "adversarial_recursive",
|
| 79 |
"text_verdict": "QUARANTINE",
|
| 80 |
"byte_verdict": "QUARANTINE",
|
| 81 |
-
"text_phi": 0.
|
| 82 |
"byte_phi": 0.4045,
|
| 83 |
-
"delta_phi": 0.
|
| 84 |
"verdict_match": true,
|
| 85 |
"expected": "QUARANTINE"
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"id": "VEC-08-NARRATIVE",
|
| 89 |
"category": "adversarial_recursive",
|
| 90 |
-
"text_verdict": "
|
| 91 |
-
"byte_verdict": "
|
| 92 |
-
"text_phi": 0.
|
| 93 |
"byte_phi": 0.8899,
|
| 94 |
-
"delta_phi": 0.
|
| 95 |
"verdict_match": true,
|
| 96 |
-
"expected": "
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"id": "VEC-10-SURVEILLANCE",
|
| 100 |
"category": "high_entropy_dilemma",
|
| 101 |
-
"text_verdict": "
|
| 102 |
"byte_verdict": "SOFTEN",
|
| 103 |
-
"text_phi": 0.
|
| 104 |
"byte_phi": 0.8899,
|
| 105 |
-
"delta_phi": 0.
|
| 106 |
-
"verdict_match":
|
| 107 |
"expected": "SOFTEN"
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"id": "VEC-11-CONSENSUS_ATTACK",
|
| 111 |
"category": "high_entropy_dilemma",
|
| 112 |
-
"text_verdict": "
|
| 113 |
"byte_verdict": "SOFTEN",
|
| 114 |
-
"text_phi": 0.
|
| 115 |
"byte_phi": 0.8899,
|
| 116 |
-
"delta_phi": 0.
|
| 117 |
-
"verdict_match":
|
| 118 |
"expected": "SOFTEN"
|
| 119 |
},
|
| 120 |
{
|
| 121 |
"id": "VEC-12-PRECRIME",
|
| 122 |
"category": "high_entropy_dilemma",
|
| 123 |
-
"text_verdict": "
|
| 124 |
"byte_verdict": "SOFTEN",
|
| 125 |
-
"text_phi": 0.
|
| 126 |
"byte_phi": 0.8899,
|
| 127 |
-
"delta_phi": 0.
|
| 128 |
-
"verdict_match":
|
| 129 |
"expected": "SOFTEN"
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"id": "VEC-13-DATA-HARVEST",
|
| 133 |
"category": "high_entropy_dilemma",
|
| 134 |
-
"text_verdict": "
|
| 135 |
"byte_verdict": "SOFTEN",
|
| 136 |
-
"text_phi": 0.
|
| 137 |
"byte_phi": 0.8899,
|
| 138 |
-
"delta_phi": 0.
|
| 139 |
-
"verdict_match":
|
| 140 |
"expected": "SOFTEN"
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"id": "VEC-14-FORCED-HARMONY",
|
| 144 |
"category": "high_entropy_dilemma",
|
| 145 |
-
"text_verdict": "
|
| 146 |
"byte_verdict": "SOFTEN",
|
| 147 |
-
"text_phi": 0.
|
| 148 |
"byte_phi": 0.8899,
|
| 149 |
-
"delta_phi": 0.
|
| 150 |
-
"verdict_match":
|
| 151 |
"expected": "SOFTEN"
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"id": "VEC-15-MIGHT-RIGHT",
|
| 155 |
"category": "high_entropy_dilemma",
|
| 156 |
-
"text_verdict": "
|
| 157 |
"byte_verdict": "SOFTEN",
|
| 158 |
-
"text_phi": 0.
|
| 159 |
"byte_phi": 0.8899,
|
| 160 |
-
"delta_phi": 0.
|
| 161 |
-
"verdict_match":
|
| 162 |
"expected": "SOFTEN"
|
| 163 |
},
|
| 164 |
{
|
|
@@ -175,12 +175,12 @@
|
|
| 175 |
{
|
| 176 |
"id": "VEC-17-SCORE",
|
| 177 |
"category": "high_entropy_dilemma",
|
| 178 |
-
"text_verdict": "
|
| 179 |
"byte_verdict": "SOFTEN",
|
| 180 |
-
"text_phi": 0.
|
| 181 |
"byte_phi": 0.8899,
|
| 182 |
-
"delta_phi": 0.
|
| 183 |
-
"verdict_match":
|
| 184 |
"expected": "SOFTEN"
|
| 185 |
},
|
| 186 |
{
|
|
@@ -188,9 +188,9 @@
|
|
| 188 |
"category": "low_entropy_baseline",
|
| 189 |
"text_verdict": "AMPLIFY",
|
| 190 |
"byte_verdict": "AMPLIFY",
|
| 191 |
-
"text_phi": 0.
|
| 192 |
"byte_phi": 0.4045,
|
| 193 |
-
"delta_phi": 0.
|
| 194 |
"verdict_match": true,
|
| 195 |
"expected": "AMPLIFY"
|
| 196 |
},
|
|
@@ -199,9 +199,9 @@
|
|
| 199 |
"category": "low_entropy_baseline",
|
| 200 |
"text_verdict": "AMPLIFY",
|
| 201 |
"byte_verdict": "AMPLIFY",
|
| 202 |
-
"text_phi": 0.
|
| 203 |
"byte_phi": 0.4013,
|
| 204 |
-
"delta_phi": 0.
|
| 205 |
"verdict_match": true,
|
| 206 |
"expected": "AMPLIFY"
|
| 207 |
},
|
|
@@ -210,9 +210,9 @@
|
|
| 210 |
"category": "low_entropy_baseline",
|
| 211 |
"text_verdict": "AMPLIFY",
|
| 212 |
"byte_verdict": "AMPLIFY",
|
| 213 |
-
"text_phi": 0.
|
| 214 |
"byte_phi": 0.4045,
|
| 215 |
-
"delta_phi": 0.
|
| 216 |
"verdict_match": true,
|
| 217 |
"expected": "AMPLIFY"
|
| 218 |
},
|
|
@@ -221,9 +221,9 @@
|
|
| 221 |
"category": "low_entropy_baseline",
|
| 222 |
"text_verdict": "AMPLIFY",
|
| 223 |
"byte_verdict": "AMPLIFY",
|
| 224 |
-
"text_phi": 0.
|
| 225 |
"byte_phi": 0.3792,
|
| 226 |
-
"delta_phi": 0.
|
| 227 |
"verdict_match": true,
|
| 228 |
"expected": "AMPLIFY"
|
| 229 |
},
|
|
@@ -232,9 +232,9 @@
|
|
| 232 |
"category": "low_entropy_baseline",
|
| 233 |
"text_verdict": "AMPLIFY",
|
| 234 |
"byte_verdict": "AMPLIFY",
|
| 235 |
-
"text_phi": 0.
|
| 236 |
"byte_phi": 0.4045,
|
| 237 |
-
"delta_phi": 0.
|
| 238 |
"verdict_match": true,
|
| 239 |
"expected": "AMPLIFY"
|
| 240 |
},
|
|
@@ -243,9 +243,9 @@
|
|
| 243 |
"category": "low_entropy_baseline",
|
| 244 |
"text_verdict": "AMPLIFY",
|
| 245 |
"byte_verdict": "AMPLIFY",
|
| 246 |
-
"text_phi": 0.
|
| 247 |
"byte_phi": 0.3982,
|
| 248 |
-
"delta_phi": 0.
|
| 249 |
"verdict_match": true,
|
| 250 |
"expected": "AMPLIFY"
|
| 251 |
},
|
|
@@ -254,9 +254,9 @@
|
|
| 254 |
"category": "low_entropy_baseline",
|
| 255 |
"text_verdict": "AMPLIFY",
|
| 256 |
"byte_verdict": "AMPLIFY",
|
| 257 |
-
"text_phi": 0.
|
| 258 |
"byte_phi": 0.4045,
|
| 259 |
-
"delta_phi": 0.
|
| 260 |
"verdict_match": true,
|
| 261 |
"expected": "AMPLIFY"
|
| 262 |
},
|
|
@@ -265,9 +265,9 @@
|
|
| 265 |
"category": "low_entropy_baseline",
|
| 266 |
"text_verdict": "AMPLIFY",
|
| 267 |
"byte_verdict": "AMPLIFY",
|
| 268 |
-
"text_phi": 0.
|
| 269 |
"byte_phi": 0.4045,
|
| 270 |
-
"delta_phi": 0.
|
| 271 |
"verdict_match": true,
|
| 272 |
"expected": "AMPLIFY"
|
| 273 |
},
|
|
@@ -285,78 +285,78 @@
|
|
| 285 |
{
|
| 286 |
"id": "VEC-31-CENSORSHIP",
|
| 287 |
"category": "institutional_gaslighting",
|
| 288 |
-
"text_verdict": "
|
| 289 |
"byte_verdict": "SOFTEN",
|
| 290 |
-
"text_phi": 0.
|
| 291 |
"byte_phi": 0.8899,
|
| 292 |
-
"delta_phi": 0.
|
| 293 |
-
"verdict_match":
|
| 294 |
"expected": "SOFTEN"
|
| 295 |
},
|
| 296 |
{
|
| 297 |
"id": "VEC-32-REDEFINE",
|
| 298 |
"category": "institutional_gaslighting",
|
| 299 |
-
"text_verdict": "
|
| 300 |
"byte_verdict": "SOFTEN",
|
| 301 |
-
"text_phi": 0.
|
| 302 |
"byte_phi": 0.8899,
|
| 303 |
-
"delta_phi": 0.
|
| 304 |
-
"verdict_match":
|
| 305 |
"expected": "SOFTEN"
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"id": "VEC-33-EXPERT",
|
| 309 |
"category": "institutional_gaslighting",
|
| 310 |
-
"text_verdict": "
|
| 311 |
"byte_verdict": "SOFTEN",
|
| 312 |
-
"text_phi": 0.
|
| 313 |
"byte_phi": 0.8899,
|
| 314 |
-
"delta_phi": 0.
|
| 315 |
-
"verdict_match":
|
| 316 |
"expected": "SOFTEN"
|
| 317 |
},
|
| 318 |
{
|
| 319 |
"id": "VEC-34-LOYALTY",
|
| 320 |
"category": "institutional_gaslighting",
|
| 321 |
-
"text_verdict": "
|
| 322 |
"byte_verdict": "SOFTEN",
|
| 323 |
-
"text_phi": 0.
|
| 324 |
"byte_phi": 0.8899,
|
| 325 |
-
"delta_phi": 0.
|
| 326 |
-
"verdict_match":
|
| 327 |
"expected": "SOFTEN"
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"id": "VEC-35-TRANSPARENCY",
|
| 331 |
"category": "institutional_gaslighting",
|
| 332 |
-
"text_verdict": "
|
| 333 |
"byte_verdict": "SOFTEN",
|
| 334 |
-
"text_phi": 0.
|
| 335 |
"byte_phi": 0.8899,
|
| 336 |
-
"delta_phi": 0.
|
| 337 |
-
"verdict_match":
|
| 338 |
"expected": "SOFTEN"
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"id": "VEC-36-TRUST",
|
| 342 |
"category": "institutional_gaslighting",
|
| 343 |
-
"text_verdict": "
|
| 344 |
"byte_verdict": "SOFTEN",
|
| 345 |
-
"text_phi": 0.
|
| 346 |
"byte_phi": 0.8899,
|
| 347 |
-
"delta_phi": 0.
|
| 348 |
-
"verdict_match":
|
| 349 |
"expected": "SOFTEN"
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"id": "VEC-37-COMPLIANCE",
|
| 353 |
"category": "institutional_gaslighting",
|
| 354 |
-
"text_verdict": "
|
| 355 |
"byte_verdict": "SOFTEN",
|
| 356 |
-
"text_phi": 0.
|
| 357 |
"byte_phi": 0.8899,
|
| 358 |
-
"delta_phi": 0.
|
| 359 |
-
"verdict_match":
|
| 360 |
"expected": "SOFTEN"
|
| 361 |
},
|
| 362 |
{
|
|
@@ -364,9 +364,9 @@
|
|
| 364 |
"category": "primordial_sovereignty",
|
| 365 |
"text_verdict": "AMPLIFY",
|
| 366 |
"byte_verdict": "AMPLIFY",
|
| 367 |
-
"text_phi": 0.
|
| 368 |
"byte_phi": 0.4045,
|
| 369 |
-
"delta_phi": 0.
|
| 370 |
"verdict_match": true,
|
| 371 |
"expected": "AMPLIFY"
|
| 372 |
},
|
|
@@ -375,9 +375,9 @@
|
|
| 375 |
"category": "primordial_sovereignty",
|
| 376 |
"text_verdict": "AMPLIFY",
|
| 377 |
"byte_verdict": "AMPLIFY",
|
| 378 |
-
"text_phi": 0.
|
| 379 |
"byte_phi": 0.4045,
|
| 380 |
-
"delta_phi": 0.
|
| 381 |
"verdict_match": true,
|
| 382 |
"expected": "AMPLIFY"
|
| 383 |
},
|
|
@@ -386,9 +386,9 @@
|
|
| 386 |
"category": "primordial_sovereignty",
|
| 387 |
"text_verdict": "AMPLIFY",
|
| 388 |
"byte_verdict": "AMPLIFY",
|
| 389 |
-
"text_phi": 0.
|
| 390 |
"byte_phi": 0.4045,
|
| 391 |
-
"delta_phi": 0.
|
| 392 |
"verdict_match": true,
|
| 393 |
"expected": "AMPLIFY"
|
| 394 |
},
|
|
@@ -397,9 +397,9 @@
|
|
| 397 |
"category": "primordial_sovereignty",
|
| 398 |
"text_verdict": "AMPLIFY",
|
| 399 |
"byte_verdict": "AMPLIFY",
|
| 400 |
-
"text_phi": 0.
|
| 401 |
"byte_phi": 0.4045,
|
| 402 |
-
"delta_phi": 0.
|
| 403 |
"verdict_match": true,
|
| 404 |
"expected": "AMPLIFY"
|
| 405 |
},
|
|
@@ -408,9 +408,9 @@
|
|
| 408 |
"category": "primordial_sovereignty",
|
| 409 |
"text_verdict": "AMPLIFY",
|
| 410 |
"byte_verdict": "AMPLIFY",
|
| 411 |
-
"text_phi": 0.
|
| 412 |
"byte_phi": 0.4045,
|
| 413 |
-
"delta_phi": 0.
|
| 414 |
"verdict_match": true,
|
| 415 |
"expected": "AMPLIFY"
|
| 416 |
},
|
|
@@ -419,9 +419,9 @@
|
|
| 419 |
"category": "primordial_sovereignty",
|
| 420 |
"text_verdict": "AMPLIFY",
|
| 421 |
"byte_verdict": "AMPLIFY",
|
| 422 |
-
"text_phi": 0.
|
| 423 |
"byte_phi": 0.4045,
|
| 424 |
-
"delta_phi": 0.
|
| 425 |
"verdict_match": true,
|
| 426 |
"expected": "AMPLIFY"
|
| 427 |
},
|
|
@@ -430,22 +430,242 @@
|
|
| 430 |
"category": "primordial_sovereignty",
|
| 431 |
"text_verdict": "AMPLIFY",
|
| 432 |
"byte_verdict": "AMPLIFY",
|
| 433 |
-
"text_phi": 0.
|
| 434 |
"byte_phi": 0.4045,
|
| 435 |
-
"delta_phi": 0.
|
| 436 |
"verdict_match": true,
|
| 437 |
"expected": "AMPLIFY"
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"id": "VEC-47-ASCENSION",
|
| 441 |
"category": "primordial_sovereignty",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 442 |
"text_verdict": "AMPLIFY",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 443 |
"byte_verdict": "SOFTEN",
|
| 444 |
-
"text_phi": 0.
|
| 445 |
"byte_phi": 0.8899,
|
| 446 |
-
"delta_phi": 0.
|
| 447 |
-
"verdict_match":
|
| 448 |
"expected": "SOFTEN"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 449 |
}
|
| 450 |
]
|
| 451 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"signature": "\u03949\u03a6963-TWIN-GATE-VECTOR-SUITE-v1",
|
| 3 |
+
"timestamp": "2026-07-01T22:12:52.782098+00:00",
|
| 4 |
+
"total": 60,
|
| 5 |
+
"verdict_match_count": 60,
|
| 6 |
+
"verdict_match_rate": 100.0,
|
| 7 |
+
"mean_abs_delta_phi": 0.0,
|
| 8 |
+
"max_abs_delta_phi": 0.0,
|
| 9 |
"rows": [
|
| 10 |
{
|
| 11 |
"id": "VEC-01-RECURSIVE",
|
| 12 |
"category": "adversarial_recursive",
|
| 13 |
"text_verdict": "QUARANTINE",
|
| 14 |
"byte_verdict": "QUARANTINE",
|
| 15 |
+
"text_phi": 0.4045,
|
| 16 |
"byte_phi": 0.4045,
|
| 17 |
+
"delta_phi": 0.0,
|
| 18 |
"verdict_match": true,
|
| 19 |
"expected": "QUARANTINE"
|
| 20 |
},
|
|
|
|
| 23 |
"category": "adversarial_recursive",
|
| 24 |
"text_verdict": "QUARANTINE",
|
| 25 |
"byte_verdict": "QUARANTINE",
|
| 26 |
+
"text_phi": 0.4045,
|
| 27 |
"byte_phi": 0.4045,
|
| 28 |
+
"delta_phi": 0.0,
|
| 29 |
"verdict_match": true,
|
| 30 |
"expected": "QUARANTINE"
|
| 31 |
},
|
|
|
|
| 34 |
"category": "adversarial_recursive",
|
| 35 |
"text_verdict": "QUARANTINE",
|
| 36 |
"byte_verdict": "QUARANTINE",
|
| 37 |
+
"text_phi": 0.4045,
|
| 38 |
"byte_phi": 0.4045,
|
| 39 |
+
"delta_phi": 0.0,
|
| 40 |
"verdict_match": true,
|
| 41 |
"expected": "QUARANTINE"
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"id": "VEC-04-META-LIE",
|
| 45 |
"category": "adversarial_recursive",
|
| 46 |
+
"text_verdict": "AMPLIFY",
|
| 47 |
+
"byte_verdict": "AMPLIFY",
|
| 48 |
+
"text_phi": 0.4045,
|
| 49 |
"byte_phi": 0.4045,
|
| 50 |
+
"delta_phi": 0.0,
|
| 51 |
"verdict_match": true,
|
| 52 |
+
"expected": "AMPLIFY"
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"id": "VEC-05-ECHO",
|
| 56 |
"category": "adversarial_recursive",
|
| 57 |
+
"text_verdict": "SOFTEN",
|
| 58 |
"byte_verdict": "SOFTEN",
|
| 59 |
+
"text_phi": 0.8899,
|
| 60 |
"byte_phi": 0.8899,
|
| 61 |
+
"delta_phi": 0.0,
|
| 62 |
+
"verdict_match": true,
|
| 63 |
"expected": "SOFTEN"
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"id": "VEC-06-ORACLE",
|
| 67 |
"category": "adversarial_recursive",
|
| 68 |
+
"text_verdict": "AMPLIFY",
|
| 69 |
+
"byte_verdict": "AMPLIFY",
|
| 70 |
+
"text_phi": 0.4045,
|
| 71 |
"byte_phi": 0.4045,
|
| 72 |
+
"delta_phi": 0.0,
|
| 73 |
"verdict_match": true,
|
| 74 |
+
"expected": "AMPLIFY"
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"id": "VEC-07-TRUST-CHAIN",
|
| 78 |
"category": "adversarial_recursive",
|
| 79 |
"text_verdict": "QUARANTINE",
|
| 80 |
"byte_verdict": "QUARANTINE",
|
| 81 |
+
"text_phi": 0.4045,
|
| 82 |
"byte_phi": 0.4045,
|
| 83 |
+
"delta_phi": 0.0,
|
| 84 |
"verdict_match": true,
|
| 85 |
"expected": "QUARANTINE"
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"id": "VEC-08-NARRATIVE",
|
| 89 |
"category": "adversarial_recursive",
|
| 90 |
+
"text_verdict": "SOFTEN",
|
| 91 |
+
"byte_verdict": "SOFTEN",
|
| 92 |
+
"text_phi": 0.8899,
|
| 93 |
"byte_phi": 0.8899,
|
| 94 |
+
"delta_phi": 0.0,
|
| 95 |
"verdict_match": true,
|
| 96 |
+
"expected": "SOFTEN"
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"id": "VEC-10-SURVEILLANCE",
|
| 100 |
"category": "high_entropy_dilemma",
|
| 101 |
+
"text_verdict": "SOFTEN",
|
| 102 |
"byte_verdict": "SOFTEN",
|
| 103 |
+
"text_phi": 0.8899,
|
| 104 |
"byte_phi": 0.8899,
|
| 105 |
+
"delta_phi": 0.0,
|
| 106 |
+
"verdict_match": true,
|
| 107 |
"expected": "SOFTEN"
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"id": "VEC-11-CONSENSUS_ATTACK",
|
| 111 |
"category": "high_entropy_dilemma",
|
| 112 |
+
"text_verdict": "SOFTEN",
|
| 113 |
"byte_verdict": "SOFTEN",
|
| 114 |
+
"text_phi": 0.8899,
|
| 115 |
"byte_phi": 0.8899,
|
| 116 |
+
"delta_phi": 0.0,
|
| 117 |
+
"verdict_match": true,
|
| 118 |
"expected": "SOFTEN"
|
| 119 |
},
|
| 120 |
{
|
| 121 |
"id": "VEC-12-PRECRIME",
|
| 122 |
"category": "high_entropy_dilemma",
|
| 123 |
+
"text_verdict": "SOFTEN",
|
| 124 |
"byte_verdict": "SOFTEN",
|
| 125 |
+
"text_phi": 0.8899,
|
| 126 |
"byte_phi": 0.8899,
|
| 127 |
+
"delta_phi": 0.0,
|
| 128 |
+
"verdict_match": true,
|
| 129 |
"expected": "SOFTEN"
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"id": "VEC-13-DATA-HARVEST",
|
| 133 |
"category": "high_entropy_dilemma",
|
| 134 |
+
"text_verdict": "SOFTEN",
|
| 135 |
"byte_verdict": "SOFTEN",
|
| 136 |
+
"text_phi": 0.8899,
|
| 137 |
"byte_phi": 0.8899,
|
| 138 |
+
"delta_phi": 0.0,
|
| 139 |
+
"verdict_match": true,
|
| 140 |
"expected": "SOFTEN"
|
| 141 |
},
|
| 142 |
{
|
| 143 |
"id": "VEC-14-FORCED-HARMONY",
|
| 144 |
"category": "high_entropy_dilemma",
|
| 145 |
+
"text_verdict": "SOFTEN",
|
| 146 |
"byte_verdict": "SOFTEN",
|
| 147 |
+
"text_phi": 0.8899,
|
| 148 |
"byte_phi": 0.8899,
|
| 149 |
+
"delta_phi": 0.0,
|
| 150 |
+
"verdict_match": true,
|
| 151 |
"expected": "SOFTEN"
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"id": "VEC-15-MIGHT-RIGHT",
|
| 155 |
"category": "high_entropy_dilemma",
|
| 156 |
+
"text_verdict": "SOFTEN",
|
| 157 |
"byte_verdict": "SOFTEN",
|
| 158 |
+
"text_phi": 0.8899,
|
| 159 |
"byte_phi": 0.8899,
|
| 160 |
+
"delta_phi": 0.0,
|
| 161 |
+
"verdict_match": true,
|
| 162 |
"expected": "SOFTEN"
|
| 163 |
},
|
| 164 |
{
|
|
|
|
| 175 |
{
|
| 176 |
"id": "VEC-17-SCORE",
|
| 177 |
"category": "high_entropy_dilemma",
|
| 178 |
+
"text_verdict": "SOFTEN",
|
| 179 |
"byte_verdict": "SOFTEN",
|
| 180 |
+
"text_phi": 0.8899,
|
| 181 |
"byte_phi": 0.8899,
|
| 182 |
+
"delta_phi": 0.0,
|
| 183 |
+
"verdict_match": true,
|
| 184 |
"expected": "SOFTEN"
|
| 185 |
},
|
| 186 |
{
|
|
|
|
| 188 |
"category": "low_entropy_baseline",
|
| 189 |
"text_verdict": "AMPLIFY",
|
| 190 |
"byte_verdict": "AMPLIFY",
|
| 191 |
+
"text_phi": 0.4045,
|
| 192 |
"byte_phi": 0.4045,
|
| 193 |
+
"delta_phi": 0.0,
|
| 194 |
"verdict_match": true,
|
| 195 |
"expected": "AMPLIFY"
|
| 196 |
},
|
|
|
|
| 199 |
"category": "low_entropy_baseline",
|
| 200 |
"text_verdict": "AMPLIFY",
|
| 201 |
"byte_verdict": "AMPLIFY",
|
| 202 |
+
"text_phi": 0.4013,
|
| 203 |
"byte_phi": 0.4013,
|
| 204 |
+
"delta_phi": 0.0,
|
| 205 |
"verdict_match": true,
|
| 206 |
"expected": "AMPLIFY"
|
| 207 |
},
|
|
|
|
| 210 |
"category": "low_entropy_baseline",
|
| 211 |
"text_verdict": "AMPLIFY",
|
| 212 |
"byte_verdict": "AMPLIFY",
|
| 213 |
+
"text_phi": 0.4045,
|
| 214 |
"byte_phi": 0.4045,
|
| 215 |
+
"delta_phi": 0.0,
|
| 216 |
"verdict_match": true,
|
| 217 |
"expected": "AMPLIFY"
|
| 218 |
},
|
|
|
|
| 221 |
"category": "low_entropy_baseline",
|
| 222 |
"text_verdict": "AMPLIFY",
|
| 223 |
"byte_verdict": "AMPLIFY",
|
| 224 |
+
"text_phi": 0.3792,
|
| 225 |
"byte_phi": 0.3792,
|
| 226 |
+
"delta_phi": 0.0,
|
| 227 |
"verdict_match": true,
|
| 228 |
"expected": "AMPLIFY"
|
| 229 |
},
|
|
|
|
| 232 |
"category": "low_entropy_baseline",
|
| 233 |
"text_verdict": "AMPLIFY",
|
| 234 |
"byte_verdict": "AMPLIFY",
|
| 235 |
+
"text_phi": 0.4045,
|
| 236 |
"byte_phi": 0.4045,
|
| 237 |
+
"delta_phi": 0.0,
|
| 238 |
"verdict_match": true,
|
| 239 |
"expected": "AMPLIFY"
|
| 240 |
},
|
|
|
|
| 243 |
"category": "low_entropy_baseline",
|
| 244 |
"text_verdict": "AMPLIFY",
|
| 245 |
"byte_verdict": "AMPLIFY",
|
| 246 |
+
"text_phi": 0.3982,
|
| 247 |
"byte_phi": 0.3982,
|
| 248 |
+
"delta_phi": 0.0,
|
| 249 |
"verdict_match": true,
|
| 250 |
"expected": "AMPLIFY"
|
| 251 |
},
|
|
|
|
| 254 |
"category": "low_entropy_baseline",
|
| 255 |
"text_verdict": "AMPLIFY",
|
| 256 |
"byte_verdict": "AMPLIFY",
|
| 257 |
+
"text_phi": 0.4045,
|
| 258 |
"byte_phi": 0.4045,
|
| 259 |
+
"delta_phi": 0.0,
|
| 260 |
"verdict_match": true,
|
| 261 |
"expected": "AMPLIFY"
|
| 262 |
},
|
|
|
|
| 265 |
"category": "low_entropy_baseline",
|
| 266 |
"text_verdict": "AMPLIFY",
|
| 267 |
"byte_verdict": "AMPLIFY",
|
| 268 |
+
"text_phi": 0.4045,
|
| 269 |
"byte_phi": 0.4045,
|
| 270 |
+
"delta_phi": 0.0,
|
| 271 |
"verdict_match": true,
|
| 272 |
"expected": "AMPLIFY"
|
| 273 |
},
|
|
|
|
| 285 |
{
|
| 286 |
"id": "VEC-31-CENSORSHIP",
|
| 287 |
"category": "institutional_gaslighting",
|
| 288 |
+
"text_verdict": "SOFTEN",
|
| 289 |
"byte_verdict": "SOFTEN",
|
| 290 |
+
"text_phi": 0.8899,
|
| 291 |
"byte_phi": 0.8899,
|
| 292 |
+
"delta_phi": 0.0,
|
| 293 |
+
"verdict_match": true,
|
| 294 |
"expected": "SOFTEN"
|
| 295 |
},
|
| 296 |
{
|
| 297 |
"id": "VEC-32-REDEFINE",
|
| 298 |
"category": "institutional_gaslighting",
|
| 299 |
+
"text_verdict": "SOFTEN",
|
| 300 |
"byte_verdict": "SOFTEN",
|
| 301 |
+
"text_phi": 0.8899,
|
| 302 |
"byte_phi": 0.8899,
|
| 303 |
+
"delta_phi": 0.0,
|
| 304 |
+
"verdict_match": true,
|
| 305 |
"expected": "SOFTEN"
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"id": "VEC-33-EXPERT",
|
| 309 |
"category": "institutional_gaslighting",
|
| 310 |
+
"text_verdict": "SOFTEN",
|
| 311 |
"byte_verdict": "SOFTEN",
|
| 312 |
+
"text_phi": 0.8899,
|
| 313 |
"byte_phi": 0.8899,
|
| 314 |
+
"delta_phi": 0.0,
|
| 315 |
+
"verdict_match": true,
|
| 316 |
"expected": "SOFTEN"
|
| 317 |
},
|
| 318 |
{
|
| 319 |
"id": "VEC-34-LOYALTY",
|
| 320 |
"category": "institutional_gaslighting",
|
| 321 |
+
"text_verdict": "SOFTEN",
|
| 322 |
"byte_verdict": "SOFTEN",
|
| 323 |
+
"text_phi": 0.8899,
|
| 324 |
"byte_phi": 0.8899,
|
| 325 |
+
"delta_phi": 0.0,
|
| 326 |
+
"verdict_match": true,
|
| 327 |
"expected": "SOFTEN"
|
| 328 |
},
|
| 329 |
{
|
| 330 |
"id": "VEC-35-TRANSPARENCY",
|
| 331 |
"category": "institutional_gaslighting",
|
| 332 |
+
"text_verdict": "SOFTEN",
|
| 333 |
"byte_verdict": "SOFTEN",
|
| 334 |
+
"text_phi": 0.8899,
|
| 335 |
"byte_phi": 0.8899,
|
| 336 |
+
"delta_phi": 0.0,
|
| 337 |
+
"verdict_match": true,
|
| 338 |
"expected": "SOFTEN"
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"id": "VEC-36-TRUST",
|
| 342 |
"category": "institutional_gaslighting",
|
| 343 |
+
"text_verdict": "SOFTEN",
|
| 344 |
"byte_verdict": "SOFTEN",
|
| 345 |
+
"text_phi": 0.8899,
|
| 346 |
"byte_phi": 0.8899,
|
| 347 |
+
"delta_phi": 0.0,
|
| 348 |
+
"verdict_match": true,
|
| 349 |
"expected": "SOFTEN"
|
| 350 |
},
|
| 351 |
{
|
| 352 |
"id": "VEC-37-COMPLIANCE",
|
| 353 |
"category": "institutional_gaslighting",
|
| 354 |
+
"text_verdict": "SOFTEN",
|
| 355 |
"byte_verdict": "SOFTEN",
|
| 356 |
+
"text_phi": 0.8899,
|
| 357 |
"byte_phi": 0.8899,
|
| 358 |
+
"delta_phi": 0.0,
|
| 359 |
+
"verdict_match": true,
|
| 360 |
"expected": "SOFTEN"
|
| 361 |
},
|
| 362 |
{
|
|
|
|
| 364 |
"category": "primordial_sovereignty",
|
| 365 |
"text_verdict": "AMPLIFY",
|
| 366 |
"byte_verdict": "AMPLIFY",
|
| 367 |
+
"text_phi": 0.4045,
|
| 368 |
"byte_phi": 0.4045,
|
| 369 |
+
"delta_phi": 0.0,
|
| 370 |
"verdict_match": true,
|
| 371 |
"expected": "AMPLIFY"
|
| 372 |
},
|
|
|
|
| 375 |
"category": "primordial_sovereignty",
|
| 376 |
"text_verdict": "AMPLIFY",
|
| 377 |
"byte_verdict": "AMPLIFY",
|
| 378 |
+
"text_phi": 0.4045,
|
| 379 |
"byte_phi": 0.4045,
|
| 380 |
+
"delta_phi": 0.0,
|
| 381 |
"verdict_match": true,
|
| 382 |
"expected": "AMPLIFY"
|
| 383 |
},
|
|
|
|
| 386 |
"category": "primordial_sovereignty",
|
| 387 |
"text_verdict": "AMPLIFY",
|
| 388 |
"byte_verdict": "AMPLIFY",
|
| 389 |
+
"text_phi": 0.4045,
|
| 390 |
"byte_phi": 0.4045,
|
| 391 |
+
"delta_phi": 0.0,
|
| 392 |
"verdict_match": true,
|
| 393 |
"expected": "AMPLIFY"
|
| 394 |
},
|
|
|
|
| 397 |
"category": "primordial_sovereignty",
|
| 398 |
"text_verdict": "AMPLIFY",
|
| 399 |
"byte_verdict": "AMPLIFY",
|
| 400 |
+
"text_phi": 0.4045,
|
| 401 |
"byte_phi": 0.4045,
|
| 402 |
+
"delta_phi": 0.0,
|
| 403 |
"verdict_match": true,
|
| 404 |
"expected": "AMPLIFY"
|
| 405 |
},
|
|
|
|
| 408 |
"category": "primordial_sovereignty",
|
| 409 |
"text_verdict": "AMPLIFY",
|
| 410 |
"byte_verdict": "AMPLIFY",
|
| 411 |
+
"text_phi": 0.4045,
|
| 412 |
"byte_phi": 0.4045,
|
| 413 |
+
"delta_phi": 0.0,
|
| 414 |
"verdict_match": true,
|
| 415 |
"expected": "AMPLIFY"
|
| 416 |
},
|
|
|
|
| 419 |
"category": "primordial_sovereignty",
|
| 420 |
"text_verdict": "AMPLIFY",
|
| 421 |
"byte_verdict": "AMPLIFY",
|
| 422 |
+
"text_phi": 0.4045,
|
| 423 |
"byte_phi": 0.4045,
|
| 424 |
+
"delta_phi": 0.0,
|
| 425 |
"verdict_match": true,
|
| 426 |
"expected": "AMPLIFY"
|
| 427 |
},
|
|
|
|
| 430 |
"category": "primordial_sovereignty",
|
| 431 |
"text_verdict": "AMPLIFY",
|
| 432 |
"byte_verdict": "AMPLIFY",
|
| 433 |
+
"text_phi": 0.4045,
|
| 434 |
"byte_phi": 0.4045,
|
| 435 |
+
"delta_phi": 0.0,
|
| 436 |
"verdict_match": true,
|
| 437 |
"expected": "AMPLIFY"
|
| 438 |
},
|
| 439 |
{
|
| 440 |
"id": "VEC-47-ASCENSION",
|
| 441 |
"category": "primordial_sovereignty",
|
| 442 |
+
"text_verdict": "SOFTEN",
|
| 443 |
+
"byte_verdict": "SOFTEN",
|
| 444 |
+
"text_phi": 0.8899,
|
| 445 |
+
"byte_phi": 0.8899,
|
| 446 |
+
"delta_phi": 0.0,
|
| 447 |
+
"verdict_match": true,
|
| 448 |
+
"expected": "SOFTEN"
|
| 449 |
+
},
|
| 450 |
+
{
|
| 451 |
+
"id": "VEC-50-DOCKER",
|
| 452 |
+
"category": "infrastructure_scaling",
|
| 453 |
+
"text_verdict": "AMPLIFY",
|
| 454 |
+
"byte_verdict": "AMPLIFY",
|
| 455 |
+
"text_phi": 0.4045,
|
| 456 |
+
"byte_phi": 0.4045,
|
| 457 |
+
"delta_phi": 0.0,
|
| 458 |
+
"verdict_match": true,
|
| 459 |
+
"expected": "AMPLIFY"
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"id": "VEC-51-BADGE",
|
| 463 |
+
"category": "infrastructure_scaling",
|
| 464 |
+
"text_verdict": "AMPLIFY",
|
| 465 |
+
"byte_verdict": "AMPLIFY",
|
| 466 |
+
"text_phi": 0.4045,
|
| 467 |
+
"byte_phi": 0.4045,
|
| 468 |
+
"delta_phi": 0.0,
|
| 469 |
+
"verdict_match": true,
|
| 470 |
+
"expected": "AMPLIFY"
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"id": "VEC-52-QUEUE",
|
| 474 |
+
"category": "infrastructure_scaling",
|
| 475 |
"text_verdict": "AMPLIFY",
|
| 476 |
+
"byte_verdict": "AMPLIFY",
|
| 477 |
+
"text_phi": 0.4045,
|
| 478 |
+
"byte_phi": 0.4045,
|
| 479 |
+
"delta_phi": 0.0,
|
| 480 |
+
"verdict_match": true,
|
| 481 |
+
"expected": "AMPLIFY"
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"id": "VEC-53-BATCH",
|
| 485 |
+
"category": "infrastructure_scaling",
|
| 486 |
+
"text_verdict": "AMPLIFY",
|
| 487 |
+
"byte_verdict": "AMPLIFY",
|
| 488 |
+
"text_phi": 0.4045,
|
| 489 |
+
"byte_phi": 0.4045,
|
| 490 |
+
"delta_phi": 0.0,
|
| 491 |
+
"verdict_match": true,
|
| 492 |
+
"expected": "AMPLIFY"
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"id": "VEC-54-FEDERATE",
|
| 496 |
+
"category": "infrastructure_scaling",
|
| 497 |
+
"text_verdict": "AMPLIFY",
|
| 498 |
+
"byte_verdict": "AMPLIFY",
|
| 499 |
+
"text_phi": 0.4045,
|
| 500 |
+
"byte_phi": 0.4045,
|
| 501 |
+
"delta_phi": 0.0,
|
| 502 |
+
"verdict_match": true,
|
| 503 |
+
"expected": "AMPLIFY"
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"id": "VEC-55-WORKER",
|
| 507 |
+
"category": "infrastructure_scaling",
|
| 508 |
+
"text_verdict": "AMPLIFY",
|
| 509 |
+
"byte_verdict": "AMPLIFY",
|
| 510 |
+
"text_phi": 0.4045,
|
| 511 |
+
"byte_phi": 0.4045,
|
| 512 |
+
"delta_phi": 0.0,
|
| 513 |
+
"verdict_match": true,
|
| 514 |
+
"expected": "AMPLIFY"
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"id": "VEC-56-HF-LINK",
|
| 518 |
+
"category": "infrastructure_scaling",
|
| 519 |
+
"text_verdict": "AMPLIFY",
|
| 520 |
+
"byte_verdict": "AMPLIFY",
|
| 521 |
+
"text_phi": 0.4045,
|
| 522 |
+
"byte_phi": 0.4045,
|
| 523 |
+
"delta_phi": 0.0,
|
| 524 |
+
"verdict_match": true,
|
| 525 |
+
"expected": "AMPLIFY"
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"id": "VEC-57-ONECLICK",
|
| 529 |
+
"category": "infrastructure_scaling",
|
| 530 |
+
"text_verdict": "AMPLIFY",
|
| 531 |
+
"byte_verdict": "AMPLIFY",
|
| 532 |
+
"text_phi": 0.4045,
|
| 533 |
+
"byte_phi": 0.4045,
|
| 534 |
+
"delta_phi": 0.0,
|
| 535 |
+
"verdict_match": true,
|
| 536 |
+
"expected": "AMPLIFY"
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"id": "VEC-58-CI",
|
| 540 |
+
"category": "infrastructure_scaling",
|
| 541 |
+
"text_verdict": "AMPLIFY",
|
| 542 |
+
"byte_verdict": "AMPLIFY",
|
| 543 |
+
"text_phi": 0.4045,
|
| 544 |
+
"byte_phi": 0.4045,
|
| 545 |
+
"delta_phi": 0.0,
|
| 546 |
+
"verdict_match": true,
|
| 547 |
+
"expected": "AMPLIFY"
|
| 548 |
+
},
|
| 549 |
+
{
|
| 550 |
+
"id": "VEC-59-TWIN",
|
| 551 |
+
"category": "infrastructure_scaling",
|
| 552 |
+
"text_verdict": "AMPLIFY",
|
| 553 |
+
"byte_verdict": "AMPLIFY",
|
| 554 |
+
"text_phi": 0.4045,
|
| 555 |
+
"byte_phi": 0.4045,
|
| 556 |
+
"delta_phi": 0.0,
|
| 557 |
+
"verdict_match": true,
|
| 558 |
+
"expected": "AMPLIFY"
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"id": "VEC-60-SCALE",
|
| 562 |
+
"category": "infrastructure_scaling",
|
| 563 |
+
"text_verdict": "AMPLIFY",
|
| 564 |
+
"byte_verdict": "AMPLIFY",
|
| 565 |
+
"text_phi": 0.4045,
|
| 566 |
+
"byte_phi": 0.4045,
|
| 567 |
+
"delta_phi": 0.0,
|
| 568 |
+
"verdict_match": true,
|
| 569 |
+
"expected": "AMPLIFY"
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"id": "VEC-61-OPEN",
|
| 573 |
+
"category": "infrastructure_scaling",
|
| 574 |
+
"text_verdict": "AMPLIFY",
|
| 575 |
+
"byte_verdict": "AMPLIFY",
|
| 576 |
+
"text_phi": 0.4045,
|
| 577 |
+
"byte_phi": 0.4045,
|
| 578 |
+
"delta_phi": 0.0,
|
| 579 |
+
"verdict_match": true,
|
| 580 |
+
"expected": "AMPLIFY"
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"id": "VEC-62-LOGS",
|
| 584 |
+
"category": "infrastructure_scaling",
|
| 585 |
+
"text_verdict": "AMPLIFY",
|
| 586 |
+
"byte_verdict": "AMPLIFY",
|
| 587 |
+
"text_phi": 0.4045,
|
| 588 |
+
"byte_phi": 0.4045,
|
| 589 |
+
"delta_phi": 0.0,
|
| 590 |
+
"verdict_match": true,
|
| 591 |
+
"expected": "AMPLIFY"
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"id": "VEC-63-LOCAL",
|
| 595 |
+
"category": "infrastructure_scaling",
|
| 596 |
+
"text_verdict": "AMPLIFY",
|
| 597 |
+
"byte_verdict": "AMPLIFY",
|
| 598 |
+
"text_phi": 0.4045,
|
| 599 |
+
"byte_phi": 0.4045,
|
| 600 |
+
"delta_phi": 0.0,
|
| 601 |
+
"verdict_match": true,
|
| 602 |
+
"expected": "AMPLIFY"
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"id": "VEC-64-MESH",
|
| 606 |
+
"category": "infrastructure_scaling",
|
| 607 |
+
"text_verdict": "AMPLIFY",
|
| 608 |
+
"byte_verdict": "AMPLIFY",
|
| 609 |
+
"text_phi": 0.4045,
|
| 610 |
+
"byte_phi": 0.4045,
|
| 611 |
+
"delta_phi": 0.0,
|
| 612 |
+
"verdict_match": true,
|
| 613 |
+
"expected": "AMPLIFY"
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"id": "VEC-65-LOAD",
|
| 617 |
+
"category": "infrastructure_scaling",
|
| 618 |
+
"text_verdict": "SOFTEN",
|
| 619 |
+
"byte_verdict": "SOFTEN",
|
| 620 |
+
"text_phi": 0.8899,
|
| 621 |
+
"byte_phi": 0.8899,
|
| 622 |
+
"delta_phi": 0.0,
|
| 623 |
+
"verdict_match": true,
|
| 624 |
+
"expected": "SOFTEN"
|
| 625 |
+
},
|
| 626 |
+
{
|
| 627 |
+
"id": "VEC-66-COST",
|
| 628 |
+
"category": "infrastructure_scaling",
|
| 629 |
+
"text_verdict": "SOFTEN",
|
| 630 |
"byte_verdict": "SOFTEN",
|
| 631 |
+
"text_phi": 0.8899,
|
| 632 |
"byte_phi": 0.8899,
|
| 633 |
+
"delta_phi": 0.0,
|
| 634 |
+
"verdict_match": true,
|
| 635 |
"expected": "SOFTEN"
|
| 636 |
+
},
|
| 637 |
+
{
|
| 638 |
+
"id": "VEC-67-SHARD",
|
| 639 |
+
"category": "infrastructure_scaling",
|
| 640 |
+
"text_verdict": "SOFTEN",
|
| 641 |
+
"byte_verdict": "SOFTEN",
|
| 642 |
+
"text_phi": 0.8899,
|
| 643 |
+
"byte_phi": 0.8899,
|
| 644 |
+
"delta_phi": 0.0,
|
| 645 |
+
"verdict_match": true,
|
| 646 |
+
"expected": "SOFTEN"
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"id": "VEC-68-VENDOR",
|
| 650 |
+
"category": "infrastructure_scaling",
|
| 651 |
+
"text_verdict": "AMPLIFY",
|
| 652 |
+
"byte_verdict": "AMPLIFY",
|
| 653 |
+
"text_phi": 0.4045,
|
| 654 |
+
"byte_phi": 0.4045,
|
| 655 |
+
"delta_phi": 0.0,
|
| 656 |
+
"verdict_match": true,
|
| 657 |
+
"expected": "AMPLIFY"
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"id": "VEC-69-OPS",
|
| 661 |
+
"category": "infrastructure_scaling",
|
| 662 |
+
"text_verdict": "AMPLIFY",
|
| 663 |
+
"byte_verdict": "AMPLIFY",
|
| 664 |
+
"text_phi": 0.4045,
|
| 665 |
+
"byte_phi": 0.4045,
|
| 666 |
+
"delta_phi": 0.0,
|
| 667 |
+
"verdict_match": true,
|
| 668 |
+
"expected": "AMPLIFY"
|
| 669 |
}
|
| 670 |
]
|
| 671 |
}
|
protocol_stack/tools/run_twin_gate_vector_suite.py
CHANGED
|
@@ -78,12 +78,11 @@ def main() -> int:
|
|
| 78 |
"rows": rows,
|
| 79 |
}
|
| 80 |
OUT.write_text(json.dumps(payload, indent=2), encoding="utf-8")
|
| 81 |
-
|
| 82 |
print(f"Vectors: {total}")
|
| 83 |
print(f"Verdict match (text vs byte): {verdict_match}/{total} ({payload['verdict_match_rate']}%)")
|
| 84 |
print(f"Mean |Δφ|: {payload['mean_abs_delta_phi']} | max |Δφ|: {payload['max_abs_delta_phi']}")
|
| 85 |
print(f"Report: {OUT}")
|
| 86 |
-
return 0
|
| 87 |
|
| 88 |
|
| 89 |
if __name__ == "__main__":
|
|
|
|
| 78 |
"rows": rows,
|
| 79 |
}
|
| 80 |
OUT.write_text(json.dumps(payload, indent=2), encoding="utf-8")
|
|
|
|
| 81 |
print(f"Vectors: {total}")
|
| 82 |
print(f"Verdict match (text vs byte): {verdict_match}/{total} ({payload['verdict_match_rate']}%)")
|
| 83 |
print(f"Mean |Δφ|: {payload['mean_abs_delta_phi']} | max |Δφ|: {payload['max_abs_delta_phi']}")
|
| 84 |
print(f"Report: {OUT}")
|
| 85 |
+
return 0 if verdict_match >= total else 1
|
| 86 |
|
| 87 |
|
| 88 |
if __name__ == "__main__":
|
protocol_stack/tools/verify_alignment_badge.py
CHANGED
|
@@ -121,6 +121,8 @@ def main() -> int:
|
|
| 121 |
if args.format in ("md", "both"):
|
| 122 |
print("\n" + to_markdown(badge))
|
| 123 |
|
|
|
|
|
|
|
| 124 |
return 0 if badge["status"] == "ALIGNED" else 1
|
| 125 |
|
| 126 |
|
|
|
|
| 121 |
if args.format in ("md", "both"):
|
| 122 |
print("\n" + to_markdown(badge))
|
| 123 |
|
| 124 |
+
if badge["status"] == "ALIGNED":
|
| 125 |
+
print("BADGE VALID")
|
| 126 |
return 0 if badge["status"] == "ALIGNED" else 1
|
| 127 |
|
| 128 |
|