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Naively combining unimodal architectures for multimodal anomaly detection makes catastrophic forgetting *worse* – unless you disentangle features with Mamba and filter redundancies with an information bottleneck.
VLAs often ignore your instructions and just do what they've seen before, but a simple "counterfactual comparison" trick can fix it.