QualBench asks models to finish the question before trusting the answer

Benchmark-and-evaluation notes on how QualBench used partial-question completion and answer shuffling to probe memorization, then found crowd voting diluted its strongest model—while source age, safety-heavy weighting, and protocol drift bound each result.