Paper: Agentic Bootstrap Measures Analysis Robustness
james_y_zou · x · 2026-07-07
Researchers propose the Agentic Bootstrap method, emphasizing that data doesn't speak for itself: reasonable analyses of the same data can yield vastly different conclusions, a flexibility often ignored in most papers. This method uses diverse persona agents to simulate different analysts and introduces the m-value to measure the robustness of analytical conclusions.
Related event: Agentic Bootstrap Uses AI Agents to Test Robustness(2 posts)→
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