ara-research-manager

To log research provenance, scan conversation history for user input, AI actions, and outcomes, then write the records to an ARA directory. This process tags decisions and events to maintain an auditable research provenance trace.

Research provenance tagging categorizes session history into user, AI inference, and AI execution provenance. You need it to maintain an auditable research provenance trace when tracking research processes and outcomes.

Recording session decisions into an ARA directory involves scanning completed conversation history to extract significant events. The process organizes this data using provenance tags to document user and AI execution outcomes.

Yes, research provenance logging assumes the existence of conversation history and user decision-making. It scans this existing history to extract user input, AI actions, and outcomes for the session epilogue logging process.

The best way to maintain an auditable research provenance trace is to log post-task events by scanning conversation history. This ensures accurate tracking by tagging user input, AI inference, and AI execution provenance.

Session epilogue logging writes to an ARA directory to maintain structured documentation of research outcomes. Without this directory structure, the provenance tags and extracted conversation history records would lack organized storage.