| # 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 |