Ai Research Mapper
@webframp/ai-research-mapperv2026.06.17.2
01README
Fetch AI papers from arXiv and map them to cloud infrastructure decisions across AWS, Azure, and GCP. Produces structured per-provider implications with priority ratings, relevant cloud services, and decision categories.
02Models
@webframp/ai-research-mapperv2026.06.17.2ai_research_mapper.ts
Global Arguments
| Argument | Type | Description |
|---|---|---|
| apiEndpoint | string | Base URL for paper lookup — arXiv default, but can point elsewhere |
fn map(paperId: string)
Index an AI paper and map it to cloud infrastructure decisions
| Argument | Type | Description |
|---|---|---|
| paperId | string | arXiv ID or URL (e.g., '2502.05795' or 'https://arxiv.org/abs/2502.05795') |
fn get(arxivId: string)
Retrieve a previously mapped paper's cloud infrastructure analysis
| Argument | Type | Description |
|---|---|---|
| arxivId | string | arXiv ID to look up |
fn list(provider?: string, category?: string)
Show recent mapped papers summary
| Argument | Type | Description |
|---|---|---|
| provider? | string | Filter by cloud provider (AWS, Azure, GCP, generic) |
| category? | string | Filter by decision category (training-cost, inference-cost, etc.) |
Resources
mapping(infinite)— AI paper to cloud infrastructure mapping result
paper(infinite)— Raw paper metadata fetched from arXiv
03Previous Versions
2026.06.17.1Jun 17, 2026
04Stats
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05Platforms