Trace-grounded parametric profiling of three synthetic counting tasks shows current video-language models only count reliably at low event counts and low rates, and final-answer accuracy masks poor timestamp-level event recovery.
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The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping
Trace-grounded parametric profiling of three synthetic counting tasks shows current video-language models only count reliably at low event counts and low rates, and final-answer accuracy masks poor timestamp-level event recovery.