arXiv (All)
open access
Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale
Scientific data are increasingly used by AI agents, yet existing dataset representations provide limited support for reliable dataset discovery and interpretation, constraining their effective use in scientific workflows. This limitation arises because agents must search across heterogeneous reposit
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
- AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists#1118396
- Towards Reliable AI Data Scientists: Data Agents with Workflow Harnesses#1129849
- openai/frontierscience#786893
- TruthInsightBench: An Evidence-Grounded Benchmark for Automated Evaluation of Open-Ended Scientific Discovery Agents#985283
- OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis#998148
Record · ID 974549
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