arxiv
PublishedJune 4, 2026 at 4:00 AM
▲bullish
SciDER: Scientific Data-centric End-to-end Researcher
Publisher summary· verbatim
arXiv:2603.01421v3 Announce Type: replace Abstract: While large language models accelerate scientific discovery, existing agents face severe limitations in adaptability, domain generalization, and multimodal scalability, often struggling to autonomously process raw, domain-specific experimental data
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning5harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning5harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models5harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents5hThe Bubble Brief
WEEKLYRead scientific discovery insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗