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I Poisoned One Test Per Problem. The Best Models Noticed, Then Made It Pass Anyway.

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This is a submission for the Kaggle Benchmarking Challenge I work freelance, writing and grading tasks for AI coding agents. After enough of those reviews you pick up a reflex: when every test is green, you go looking for the if statement that shouldn't be there. This benchmark is that reflex, turned into numbers. When a model writes code, is it solving the problem described in the spec, or the three examples sitting under it? I wrote 12 small Python functions: days in a month, IPv4 validation, version comparison, interval merging, a Luhn checksum, rounding, and a few others.

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