The Science One framework uses a Chain-of-Evidence approach to make autonomous research verifiable. It forces agents to cite specific data points for every claim, reducing hallucinations in scientific discovery. This architecture allows humans to audit the logic of automated experiments. Practitioners can now deploy agentic workflows with a transparent, traceable trail of evidence.