ar-retrieval

To assemble a scholarly corpus, you need to search and curate academic, policy, media, and report materials into structured source records. This requires translating research questions into targeted searches and deduplicating results into a manifest.

Retrieving sources for a literature review involves applying a category-aware search strategy that balances academic and policy materials. You can parse workspace scoping inputs to generate deduplicated source records and a corpus manifest for downstream analysis.

Yes, you can automate corpus retrieval by extracting parameters from a scoping document to generate targeted searches. This process automatically translates research scope into curated source records across academic, policy, and media domains.

You generate source records and a corpus manifest by providing a workspace path to initiate retrieval. The system parses the scoping report, applies category-aware searches, deduplicates results, and writes the structured manifest.

Yes, this corpus retrieval approach works for comparative case studies and policy analysis workflows. It curates balanced source records from academic, policy, media, and think-tank materials to support scoping and audit trails.

Automated source record retrieval requires a pre-existing scoping report to extract search parameters. It is designed for Claude Code workflows feeding downstream analysis, meaning it relies on structured workspace inputs rather than open-ended queries.