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Achieve near-full light throughput in spectral imaging with a novel oscillating dispersion technique and deep unfolding network, enabling high-fidelity reconstruction even under light-starved conditions.
Latent reasoning models often take shortcuts to achieve high accuracy, and stronger supervision, while mitigating this, paradoxically restricts the diversity of their latent representations.