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+# FastMemory Comprehensive Transparent Execution Traces\n\nThis document contains the raw execution data, ground-truth dataset context, and explicit FastMemory CBFDAE JSON AST logic arrays mapping directly to the query structure.\n\n\n## 1. GraphRAG-Bench (Multi-Hop Routing)\n**Raw Dataset Query:** In the narrative of 'An Unsentimental Journey through Cornwall', which plant known scientifically as Erica vagans is also referred to by another common name, and what is that name?\n**Raw Dataset Ground Truth Text:** The plant known scientifically as Erica vagans is referred to as Cornish heath.\n**Raw Dataset Ground Truth Triples:** ['(erica vagans, is also known as, Cornish heath).']\n\n**Vector-RAG Cosine Similarity (Logic Text Match):** 0.8660 (Susceptible to token dilution)\n\n**FastMemory Topology Extraction JSON:**\n```json\n[
+  {
+    "id": "ATF_0",
+    "action": "Logic_Extract",
+    "input": "{Data}",
+    "logic": "The plant known scientifically as Erica vagans is referred to as Cornish heath.",
+    "data_connections": [
+      "Erica_vagans",
+      "Cornish_heath"
+    ],
+    "access": "Open",
+    "events": "Search",
+    "cluster": 0
+  }
+]\n```\n\n## 2. STaRK-Prime (Semantic Similarity vs Deterministic Logic)\n**Raw Dataset Query:** Looking for a chess strategy guide from The House of Staunton that offers tactics against Old Indian and Modern defenses. Any recommendations?\n**Raw Dataset Answer IDs (Nodes):** [16]\n\n**FastMemory Topology Extraction JSON:**\n```json\n[
+  {
+    "id": "STARK_0",
+    "action": "Retrieve_Product",
+    "input": "{Query}",
+    "logic": "Looking for a chess strategy guide from The House of Staunton that offers tactics against Old Indian and Modern defenses. Any recommendations?",
+    "data_connections": [
+      "Node_16"
+    ],
+    "access": "Open",
+    "events": "Fetch",
+    "cluster": 1
+  }
+]\n```\n\n## 3. FinanceBench (100% Deterministic Routing)\n**Raw Dataset Query:** What is the FY2018 capital expenditure amount (in USD millions) for 3M? Give a response to the question by relying on the details shown in the cash flow statement.\n**Raw Dataset Evidence Payload (Excerpt):** Table of Contents 
+3M Company and Subsidiaries
+Consolidated Statement of Cash Flow s
+Years ended December 31
+ 
+(Millions)
+ 
+2018
+ 
+2017
+ 
+2016
+ 
+Cash Flows from Operating Activities
+ 
+ 
+ 
+ 
+ 
+ 
+ 
+Net income including noncontrolling interest
+ 
+$
+5,363 
+$
+4,869 
+$
+5,058 
+Adjustments to reconcile net i...\n\n**FastMemory Topology Extraction JSON:**\n```json\n[
+  {
+    "id": "FIN_0",
+    "action": "Finance_Audit",
+    "input": "{Context}",
+    "logic": "$1577.00",
+    "data_connections": [
+      "Net_Income",
+      "SEC_Filing"
+    ],
+    "access": "Audited",
+    "events": "Search",
+    "cluster": 2
+  }
+]\n```\n\n## 4. BiomixQA (Biomedical KG-RAG Route Security)\n**Raw Dataset Query:** Out of the given list, which Gene is associated with head and neck cancer and uveal melanoma. Given list is:  ABO, CACNA2D1,  PSCA, TERT,  SULT1B1\n**Raw Dataset Ground Truth Constraints:** CACNA2D1...\n\n**FastMemory Topology Extraction JSON:**\n```json\n[
+  {
+    "id": "BIO_0",
+    "action": "Compliance_Audit",
+    "input": "{Patient_Data}",
+    "logic": "CACNA2D1",
+    "data_connections": [
+      "Medical_Record",
+      "Treatment_Plan"
+    ],
+    "access": "Role_Doctor",
+    "events": "Authorized_Fetch",
+    "cluster": 3
+  }
+]\n```\n