ARCANA lets multi‑agent AI solve ARC‑AGI‑2 puzzles under tight constraints
ARCANA coordinates a set of specialized agents to crack ARC‑AGI‑2 puzzles within tight inference budgets. By iteratively grounding raw grids, proposing DSL programs, executing them symbolically, and reflecting on failures, it beats prior methods on the benchmark, showing that structured multi‑turn program synthesis can scale under strict test‑time and hardware limits.