research-orchestra

To automate a literature review, provide a research topic to trigger an autonomous pipeline that searches PubMed, Semantic Scholar, and arXiv. The process validates each source, enforces citation accuracy, and outputs a structured research report with date-stamped artifacts.

Research planning generates a structured outline by breaking a topic into sub-questions, search terms, and scope definitions. This creates a plan.json output that guides the subsequent literature discovery and validation stages.

Yes, the pipeline synthesizes discovered literature by grouping findings into themes. It explicitly identifies scientific consensus, contradictions, and gaps in the validated research, delivering these insights within the final formal report.

Citation validation cross-checks discovered sources against PubMed and Semantic Scholar records to ensure authenticity. This mechanism prevents fabricated citations by enforcing strict end-to-end workflow requirements before generating the final verified citation JSON.

Yes, the autonomous research pipeline respects external rate limits during multi-database searches across PubMed, Semantic Scholar, and arXiv. This ensures continuous literature discovery without hitting API access restrictions.

The pipeline produces a plan.json file for research scope, a verified citation JSON for validated sources, and a formal research report. These structured outputs maintain consistent file paths and date-stamped artifacts for reliable retrieval.