The Science One framework uses a Chain-of-Evidence approach to make autonomous scientific discovery verifiable. It forces agents to cite specific data points for every hypothesis generated. This reduces hallucinations in complex research workflows. Practitioners can now audit the exact reasoning path an AI takes when synthesizing experimental results into new scientific theories.