File size: 3,377 Bytes
2c8396e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | # 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 |