“The best-fitting mass density model is found to faithfully reproduce the observed dependence of orbital momenta on apparent separation.”

“The conditional entropy or code length in many cases continues to decrease with context length at least to $N\sim 10^4$ characters, implying that there are direct dependencies or interactions across these distances.”

“Achieved a classification accuracy of 96.25% on the HCPTask dataset.”

“The resulting thermodynamic pressure increases with temperature but exhibits an approximately logarithmic dependence.”

“DehazeSNN is highly competitive to state-of-the-art methods on benchmark datasets, delivering high-quality haze-free images with a smaller model size and less multiply-accumulate operations.”

“MS-SSM enhances memory efficiency and long-range modeling.”

“The authors observe that the charge diffusion constant is well described by a simple functional dependence ~ 1/V^2 universally valid both for small and large V.”

“The paper demonstrates competitive or state-of-the-art performance across a range of time-series benchmarks.”

“The paper synthesizes state-of-the-art strategies for enhancing power system resilience, including network hardening, resource allocation, optimal scheduling, and reconfiguration techniques.”

“The proposed framework achieves an overall accuracy of 89.72% and a macro-average F1-score of 85.46%. Notably, it attains an F1- score of 61.7% for the challenging N1 stage, demonstrating a substantial improvement over previous methods on the SleepEDF datasets.”

“Uniform corruption does not respect how information is distributed across positions, and token-wise marginal training cannot capture multi-token dependencies during parallel decoding.”

“GraphLocator achieves more accurate localization with average improvements of +19.49% in function-level recall and +11.89% in precision.”

“MEGA-PCC achieves superior rate-distortion performance and runtime efficiency compared to both traditional and learning-based baselines.”

“Only 68.3% of projects execute out-of-the-box, with substantial variation across languages (Python 89.2%, Java 44.0%). We also find a 13.5 times average expansion from declared to actual runtime dependencies, revealing significant hidden dependencies.”

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“The article is based on a paper from ArXiv, suggesting it is a pre-print or a research paper.”

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“The study uses a Spatio-Temporal Graph Neural Network with Directed Spatial Attention.”

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“(Assuming a relevant quote exists in the article) "Mamba offers a promising approach to address the limitations of Transformers in handling long sequences."”

“The article likely includes a quote from a researcher or developer involved in the project, possibly highlighting the benefits of using n-grams or the ease of implementation with the Transformers library.”