PaperPilot: DAG-Based Scientific Lit-Search Agent Lifts Hit@5 from 58 to 77, Cuts Workflow Errors to Zero
Summary
Scientific literature search is a daily bottleneck for AI researchers; replacing black-box fixed pipelines with an inspectable, user-steerable DAG that learns from feedback is a structurally different approach—and the gains are large enough to be practically meaningful.
Originally reported by paper
Read the original article →Original headline: PaperPilot: DAG-Based Scientific Lit-Search Agent Lifts Hit@5 from 58 to 77, Cuts Workflow Errors to Zero