The Science One framework introduces a Chain-of-Evidence mechanism to make autonomous research verifiable. It forces AI agents to cite specific data points and logical steps during scientific discovery. This reduces hallucinations in complex reasoning tasks. Researchers can now audit the exact path an agent took to reach a hypothesis, improving reliability for lab automation.