AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration

ArXi:2605.20025v1 Announce Type: new Automating scientific discovery requires than generating papers from ideas. Real research is iterative: hypotheses are challenged from multiple perspectives, experiments fail and inform the next attempt, and lessons accumulate across cycles. Existing autonomous research systems often model this process as a linear pipeline: they rely on single-agent reasoning, stop when execution fails, and do not carry experience across runs.