arXiv (All)
open access
FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
Scientific knowledge bases accelerate discovery by curating findings from primary literature into structured, queryable formats for both human researchers and emerging AI systems. Maintaining these resources requires expert curators to search papers, reconcile evidence across documents, and produce
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search#133422
- AI ready: how to prepare archives for Artificial Intelligence, improve discoverability, and enhance access#1146660
- Sustaining the Commons in the AI Economy: A Landscape Scan of Challenges and Strategies for Bridging AI Companies and Open Curated Collections#137316
- From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation#126544
- PRISMA-LLM: An Empirical Reporting Framework for AI-Assisted Systematic Reviews#1069958
Record · ID 1104960
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive