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The Faber-Krahn inequality for the logarithmic Hardy operator holds for $\mu \in (-1, 0)$ but breaks down for $\mu > 0$, revealing a critical phase transition in spectral geometric inequalities.
Pretrained visual encoders are a temporary crutch: encoder-free multimodal architectures close the performance gap with encoder-based systems at roughly $10^{22}$ FLOPs, well within current frontier pretraining budgets.
CBPO redefines credit assignment in RLVR, enabling precise decision sensitivity that boosts performance across diverse benchmarks.