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Success in long-horizon tasks hinges more on an agent's iterative persistence than on the quality of its initial solution.
Forget expensive per-task search: agentic workflows can be synthesized in a single LLM pass by transferring learned structural priors, slashing optimization costs by 3 orders of magnitude.
Key contribution not extracted.
