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Can LLMs Catch a Rigged Backtest? A Clean-Control Calibration Benchmark
and-scienceartificial-intelligencecomputation-and-languagecomputational-engineeringfinancesoftware-engineering
Backtest auditing is a calibration problem: high flaw recall is not useful when the model falsely flags matched clean strategies. We build a 96-item paired benchmark in which every flawed backtest has a clean control that holds strategy, dates, code style, labels, and reporting scaffold fixed while
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