Intelligence · Component · research-paper-extraction
Research paper extraction and explainer packaging
What it does
Fetch arXiv HTML/PDF, extract sections and bibliographic metadata, validate supplied structured explainers and render reading views.
Core pattern
Technical document section extraction + metadata and explainer validation
- Input
- arXiv papers and externally authored explainer JSON
- Output
- Sectioned text, metadata, validation report and paper pages
Key parameters
| Name | Type | Default | Values |
|---|---|---|---|
| operation | string | fetch | fetch · extract · validate_explainer · render |
| extract_schema | — | — | — |
| documents | array | [] | — |
| language | — | — | — |
| format | string | json | json · csv · markdown · html · pdf · xlsx · pptx · png · svg · text |
Maturity and limits
Caching, HTML/PDF extraction and schema validation; AI explainer creation is external. Phase 2: source paths and implementation inspected statically; tests and external integrations were not executed. Maturity rates repository implementation, not a verified production deployment.
No root reuse license found; third-party news, research, logos and personal profile data require appropriate rights; external services require credentials.
1 sentence citing source paths or vendor names omitted for publication.
Used in pipelines
Industry tags
- FinanceSource-supported industry
For work involving research materials and financial service operations, use technical document section extraction followed by metadata and explainer validation.
- Legal servicesTransferable use
For ongoing research into case issues and regulatory materials, use technical document section extraction followed by metadata and explainer validation.
Skills pack
Contract scaffold and deterministic mock
Download · 11KBSHA-256 583ff6696e3e56a10921a525d065ecdab2eed2d9ff1ca8175e2e0bce7b91d0ba
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