Millimeter-wave observations of Euclid Deep Field South using the South Pole Telescope: A data release of temperature maps and catalogs

Kavli Affiliate: Chao-Lin Kuo | First 5 Authors: M. Archipley, A. Hryciuk, L. E. Bleem, K. Kornoelje, M. Klein | Summary: Context. The South Pole Telescope third-generation camera (SPT-3G) has observed over 10,000 square degrees of sky at 95, 150, and 220 GHz (3.3, 2.0, 1.4 mm, respectively) overlapping the ongoing 14,000 square-degree Euclid Wide […]


Continue.. Millimeter-wave observations of Euclid Deep Field South using the South Pole Telescope: A data release of temperature maps and catalogs

Neurons accumulate disease-specific somatic genomic changes across tau pathologic states in Alzheimer’s disease

Kavli Affiliate: Michael Miller | Authors: Bowen Jin, Katherine S.-M. Brown, Denis S. Smirnov, Samuel M. Naik, Samantha L. Kirkham, Elizabeth L. Hennessey, Guanlan Dong, Shulin Mao, Samadhi P. Wijethunga, Theresa Connors Stewart, Dennis J. Selkoe, Matthew P. Frosh, Derek H. Oakley, Bradley T. Hyman, August Yue Huang and Michael Miller | Summary: Tau deposition […]


Continue.. Neurons accumulate disease-specific somatic genomic changes across tau pathologic states in Alzheimer’s disease

GPR: Empowering Generation with Graph-Pretrained Retriever

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang | Summary: Graph retrieval-augmented generation (GRAG) places high demands on graph-specific retrievers. However, existing retrievers often rely on language models pretrained on plain text, limiting their effectiveness due to domain misalignment and structure ignorance. To address these […]


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The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey

Kavli Affiliate: James J. Bock | First 5 Authors: Brendan P. Crill, Yoonsoo P. Bach, Sean A. Bryan, Jean Choppin de Janvry, Ari J. Cukierman | Summary: We describe the SPHEREx Sky Simulator, a software tool designed to model science data for NASA’s SPHEREx mission that will carry out a series of all-sky spectrophotometric surveys […]


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Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning

Kavli Affiliate: Cheng Peng | First 5 Authors: Shuyao Xu, Cheng Peng, Jiangxuan Long, Weidi Xu, Wei Chu | Summary: Recent advances in model distillation demonstrate that data from advanced reasoning models (e.g., DeepSeek-R1, OpenAI’s o1) can effectively transfer complex reasoning abilities to smaller, efficient student models. However, standard practices employ rejection sampling, discarding incorrect […]


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Wess-Zumino-Witten Interactions of Axions: Three-Flavor

Kavli Affiliate: Jia Liu | First 5 Authors: Yang Bai, Ting-Kuo Chen, Jia Liu, Xiaolin Ma, | Summary: We present a complete Lagrangian describing axion interactions with pseudoscalar and (axial-)vector mesons within the three light-flavor quark framework. This formulation incorporates both the standard chiral Lagrangian and the full Wess-Zumino-Witten (WZW) term. By including instanton effects […]


Continue.. Wess-Zumino-Witten Interactions of Axions: Three-Flavor

Wess-Zumino-Witten Interactions of Axions: Three-Flavor

Kavli Affiliate: Jia Liu | First 5 Authors: Yang Bai, Ting-Kuo Chen, Jia Liu, Xiaolin Ma, | Summary: We present a complete Lagrangian describing axion interactions with pseudoscalar and (axial-)vector mesons within the three light-flavor quark framework. This formulation incorporates both the standard chiral Lagrangian and the full Wess-Zumino-Witten (WZW) term. By including instanton effects […]


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Decoding Knowledge Attribution in Mixture-of-Experts: A Framework of Basic-Refinement Collaboration and Efficiency Analysis

Kavli Affiliate: Jia Liu | First 5 Authors: Junzhuo Li, Bo Wang, Xiuze Zhou, Peijie Jiang, Jia Liu | Summary: The interpretability of Mixture-of-Experts (MoE) models, especially those with heterogeneous designs, remains underexplored. Existing attribution methods for dense models fail to capture dynamic routing-expert interactions in sparse MoE architectures. To address this issue, we propose […]


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$δn$ formalism: A new formulation for the probability density of the curvature perturbation

Kavli Affiliate: Misao Sasaki | First 5 Authors: Diego Cruces, Shi Pi, Misao Sasaki, , | Summary: $delta N$ formalism is a useful method to calculate the curvature perturbation. Contrary to what it is typically done in the literature, we re-formulate the $delta N$ formalism by using the $e$-folding number $n$ counted forward in time. […]


Continue.. $δn$ formalism: A new formulation for the probability density of the curvature perturbation