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Billion-parameter LLMs no longer require global backpropagation to pretrain competitively: sharing a single delayed readout across decoupled modules matches standard zero-shot accuracy while yielding up to 1.44x pipeline throughput.
A single continually updated model can outperform traditional environment-specific geo-localization methods while preserving essential cross-view geometry.
