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VEDJE is a video-efficient discriminative joint encoder for scalable video-text retrieval that compresses each video into a tiny 48 KiB temporally structured cache, using a lightweight 33M-parameter joint encoder to achieve 59.8 R@1 on MSR-VTT with ~49× fewer online parameters than LamRA.