Developer builds open-source library after hitting the same validation blind spot four times

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A developer building the trainproof ML training tool repeatedly encountered a subtle but critical flaw: validation systems were silently skipping checks and reporting them as passed. In one case, a training run with a flat zero-loss curve cleared all checks because every guard was designed to avoid division by zero, making a run that learned nothing appear successful. A second variant caused unreadable log files to vanish from reports entirely, indistinguishable from files that had genuinely passed. When an infrastructure compliance engineer independently described the same structural problem in a different domain, the developer recognized it as a recurring pattern rather than an isolated bug. This prompted the creation of a dedicated open-source library to formally distinguish between checked, unable-to-check, and out-of-scope evaluation states.

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