arxiv
PublishedApril 1, 2026 at 4:00 AM
—neutral
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
Publisher summary· verbatim
arXiv:2603.28986v1 Announce Type: new Abstract: Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets that prevent adaptation to evolving tasks and environments. We introduce
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 Pruning13harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning13harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models13harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents13hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗