Cost-Effective Agent Harnesses for Abstract Reasoning and Generalization on ARC-AGI-1
This work introduces an Explorer-Definer Pipeline that separates pattern discovery from executable transformation synthesis, implemented as a two-stage agent pipeline, and presents the Reflective Orchestrator, which augments the pipeline with autonomous exploration of new transformations when previous hypotheses fail on training pairs.