Querying Everything Everywhere All at Once: Supervaluationism for the Agentic Lakehouse

ArXi:2603.13380v1 Announce Type: cross Agentic analytics is turning the lakehouse into a multi-version system: swarms of (human or AI) producers materialize competing pipelines in data branches, while (human or AI) consumers need answers without knowing the underlying data life-cycle. We nstrate a new system that answers questions across branches rather than at a single snapshot. Our prototype focuses on a novel query path that evaluates queries under supervaluationary semantics.