何が起きたか: Decomposition Buys Integrity, Not Yield

Research shows task decomposition across agent trees preserves accuracy but reduces output yield, with costs that often outweigh benefits.

なぜ重要か: Decomposition Buys Integrity, Not Yield

Engineers building multi-agent systems need to weigh integrity gains against throughput losses when deciding whether to split tasks hierarchically.

注意点: Decomposition Buys Integrity, Not Yield

The model predicts only 0.7 to 11.3 percent of production sessions warrant delegation, yet 7.8 percent currently use it, suggesting widespread over-delegation.

ニュース

Decomposition Buys Integrity, Not Yield

arXiv cs.AI · 公開日 2026年9月15日 · 読了3分

30秒で要点

何が起きたか: Research shows task decomposition across agent trees preserves accuracy but reduces output yield, with costs that often outweigh benefits.
なぜ重要か: Engineers building multi-agent systems need to weigh integrity gains against throughput losses when deciding whether to split tasks hierarchically.
注意点: The model predicts only 0.7 to 11.3 percent of production sessions warrant delegation, yet 7.8 percent currently use it, suggesting widespread over-delegation.

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