Chronology of Multi-Agent Interactions for Provenance of Evolving Information
The study introduces a chronological system to track how multiple AI agents collaborate during content generation. It uses 'symbolic chronicles,' which are signed, time-stamped records, embedded within the generated text itself through token sampling. This allows for post hoc attribution of generative history from the content alone without needing internal memory.