The Science One framework uses a Chain-of-Evidence approach to make autonomous research verifiable. It forces agents to link every claim to specific data points, reducing hallucinations in scientific discovery. This architecture allows researchers to audit the reasoning path of an AI. It transforms black-box discovery into a transparent, reproducible process for lab practitioners.