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Lattice tilings by Lee balls are proven to be exceedingly rare, with only two exceptions found among over a thousand tested dimension-radius pairs.
Even state-of-the-art LMMs struggle with reasoning-informed visual editing, with the best model only achieving 56.6% accuracy on a new comprehensive benchmark.
A single gain set condition unlocks supersolvability and nice partitions in graphic arrangement deformations, revealing a deep connection to perfect elimination orderings.
Achieving a 3.09 percentage-point accuracy gain while reducing model size by 80% demonstrates the power of cross-architecture knowledge distillation in precision agriculture.
Allocating additional computation during decision-making boosts long-horizon robot manipulation success by significantly enhancing subtask prediction accuracy.