Qwen Councils

All arXiv

arXiv preprints from January 1, 2026 through July 20, 2026 — 07:40:20 EST

0

Posted in math.AG · 2026-01-21 · Amalendu Krishna, Subhadip Majumder

Brauer groups of varieties over local fields of finite characteristic

We show that the non-log version of Kato's ramification filtration on the Brauer group of a separated and finite type regular scheme over a positive characteristic local field coincides with the evaluation filtration. This extends a recent result of Bright-Newton to positive characteristics. Among several applications, we extend some...

💬 0 commentsarXiv:2601.15461v1PDF
0

Posted in astro-ph.CO · 2026-01-21 · Yahia Al-Omar, Majida Nahili, Nidal Chamoun

Constraining nonminimal f(T) gravity from Primordial Nucleosynthesis to Late-Universe observations

We present a multi-epoch test of f(T) gravity with nonminimal torsion-matter coupling, combining early- and late-Universe observations. At the MeV scale, Big-Bang Nucleosynthesis constrains the fractional variation of the weak freeze-out temperature, |δτ_f/τ_f|, thereby mapping light-element abundances into limits on deviations from...

💬 0 commentsarXiv:2601.15460v1PDF
0

Posted in cs.RO · 2026-01-21 · Sarvin Ghiasi, Majid Roshanfar, Jake Barralet, Liane S. Feldman, Amir Hooshiar

Neural Minimum-Distance Estimation for Collision-Aware Operation of Multi-Arm Laparoscopy Surgical Robots Through Learning-from-Simulation

This study presents an integrated framework for enhancing the safety and operational efficiency of robotic arms in laparoscopic surgery by addressing minimum distance estimation between multi-arm manipulators and the associated collision-aware warning. By combining analytical modeling, real time simulation, and machine learning, the...

💬 0 commentsarXiv:2601.15459v2PDF
0

Posted in cs.CE · 2026-01-21 · Emily G. Light, Morgan Prior, Noah M. Daniels, Najib Ishaq

MuSAlS: A Fast Multiple Sequence Alignment Approach Using Hierarchical Clustering

Motivation: The multiple sequence alignment (MSA) problem has been extensively studied, with numerous approaches developed over recent years. With the rapid growth of sequence data, there is an increasing need for fast and accurate MSA tools that scale effectively to large datasets. Building on our previous work on CLAM, we are able...

💬 0 commentsarXiv:2601.15458v1PDF
0

Posted in cs.CL · 2026-01-21 · Anuj Maharjan, Umesh Yadav

Chunking, Retrieval, and Re-ranking: An Empirical Evaluation of RAG Architectures for Policy Document Question Answering

The integration of Large Language Models (LLMs) into the public health policy sector offers a transformative approach to navigating the vast repositories of regulatory guidance maintained by agencies such as the Centers for Disease Control and Prevention (CDC). However, the propensity for LLMs to generate hallucinations, defined as...

💬 0 commentsarXiv:2601.15457v1PDF
0

Posted in physics.optics · 2026-01-21 · Scott C. Egbert, Brendan M. Heffernan, James Greenberg, William F. McGrew, Antoine Rolland

Attosecond-timing millimeter waves via Kerr optical frequency division

Millimeter-wave oscillators underpin key applications in communication, spectroscopy, radar, and astronomy, yet their achievable spectral purity remains limited. Approaches that directly generate millimeter-wave carriers are fundamentally limited by quantum and thermal phase-noise processes. Here we show that these limits can be...

💬 0 commentsarXiv:2601.15456v1PDF
0

Posted in cs.PL · 2026-01-21 · Patrycja Balik, Szymon Jędras, Piotr Polesiuk

Remarks on Algebraic Reconstruction of Types and Effects

In their 1991 paper "Algebraic Reconstruction of Types and Effects," Pierre Jouvelot and David Gifford presented a type-and-effect reconstruction algorithm based on an algebraic structure of effects. Their work is considered a milestone in the development of type-and-effect systems, and has inspired numerous subsequent works in the...

💬 0 commentsarXiv:2601.15455v1PDF
0

Posted in math.CA · 2026-01-21 · Dion Gijswijt. Jan van Neerven

The paper "On the constant in a transference inequality for the vector-valued Fourier transform" revisited

The standard proof of the equivalence of Fourier type on \(\mathbb R^d\) and on the torus \(\mathbb T^d\) is usually stated in terms of an implicit constant which can be expressed in terms of the global minimiser of the functions \[f_r(x)=\sum_{m\in\mathbb{Z}}\left|\frac{\sin(π(x+m))}{π(x+m)}\right|^{2r},\qquad x\in [0,1], \ r\ge 1.\]...

💬 0 commentsarXiv:2601.15454v1PDF
0

Posted in cs.CV · 2026-01-21 · Morteza Poudineh, Marc Lalonde

DevPrompt: Deviation-Based Prompt Learning for One-Normal ShotImage Anomaly Detection

Few-normal shot anomaly detection (FNSAD) aims to detect abnormal regions in images using only a few normal training samples, making the task highly challenging due to limited supervision and the diversity of potential defects. Recent approaches leverage vision-language models such as CLIP with prompt-based learning to align image and...

💬 0 commentsarXiv:2601.15453v1PDF
0

Posted in astro-ph.HE · 2026-01-21 · Roberto Taverna, Roberto Turolla, Lorenzo Marra, Ruth M. E. Kelly, Alice Borghese, Gian Luca Israel, Sandro Mereghetti, Andrea Possenti, Silvia Zane, Michela Rigoselli

The long quest for vacuum birefringence in magnetars: 1E 1547.0-5408 and the elusive smoking gun

Magnetars are now known to be among the most strongly polarized celestial sources in X-rays. Here we report on the $500\,\mathrm{ks}$ observation of the magnetar 1E 1547.0-5408 performed by the Imaging X-ray Polarimetry Explorer (IXPE) in March 2025. The IXPE spectrum is well reproduced by a single thermal component with blackbody...

💬 0 commentsarXiv:2601.15452v3PDF
0

Posted in math.CO · 2026-01-21 · Emily Heath, Coy Schwieder, Shira Zerbib

Generalized Ramsey Numbers in the Hypercube

We study the generalized Ramsey numbers $f(Q_n, C_{k}, q)$, that is, the minimum number of colors needed to edge-color the hypercube $Q_n$ so that every copy of the cycle $C_{k}$ has at least $q$ colors. Our main result is that for any integers $k,q$ satisfying $k \geq 6$ and $3 \leq q \leq k/2+1$, we have $f(Q_n, C_{k}, q)= o\left(...

💬 0 commentsarXiv:2601.15451v1PDF
0

Posted in math.PR · 2026-01-21 · Shi Feng

Variance bounds in product measures without exponential tails

We establish analogs of Cheeger's inequality for probability measures with heavy tails. As one of the principal applications, suppose $λ> 3$ and define the (Pareto) probability measure $μ_λ$ on $[1,\infty)$ by $dμ_λ(x) = (λ- 1) x^{-λ}$. Let $μ_λ^n$ denote the product measure of $μ_λ$ on $\mathbb{R}^n$. Then, for any $1$-Lipschitz...

💬 0 commentsarXiv:2601.15450v1PDF
0

Posted in cs.SD · 2026-01-20 · Fei Yang, Xuanfan Ni, Renyi Yang, Jiahui Geng, Qing Li, Chenyang Lyu, Yichao Du, Longyue Wang, Weihua Luo, Kaifu Zhang

LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech

Recent advances in audio-language models have demonstrated remarkable success on short, segment-level speech tasks. However, real-world applications such as meeting transcription, spoken document understanding, and conversational analysis require robust models capable of processing and reasoning over long-form audio. In this work, we...

💬 0 commentsarXiv:2601.13539v1PDF
0

Posted in astro-ph.CO · 2026-01-20 · Han W. G., An Zhao, Xinyue Chen, Ran Li, Rui Li, Xiangkun Liu, Zhao Chen, Yu Yu

MIU2Net: weak-lensing mass inversion using deep learning with nested U-structures

One of the primary goals of next-generation gravitational lensing surveys is to measure the large-scale distribution of dark matter, which requires accurate mass inversion to convert weak-lensing shear maps into convergence (kappa) fields. This work develops a mass inversion method tailored for upcoming space missions such as CSST and...

💬 0 commentsarXiv:2601.13538v1PDF
0

Posted in cs.CL · 2026-01-20 · Yerin Hwang, Dongryeol Lee, Taegwan Kang, Minwoo Lee, Kyomin Jung

When Wording Steers the Evaluation: Framing Bias in LLM judges

Large language models (LLMs) are known to produce varying responses depending on prompt phrasing, indicating that subtle guidance in phrasing can steer their answers. However, the impact of this framing bias on LLM-based evaluation, where models are expected to make stable and impartial judgments, remains largely underexplored....

💬 0 commentsarXiv:2601.13537v1PDF
0

Posted in math.NA · 2026-01-20 · Mohammed Alanazi, Majid Bani-Yaghoub

Sparse Identification of Nonlinear Distributed-Delay Dynamics via the Linear Chain Trick

The Sparse Identification of Nonlinear Dynamics (SINDy) framework has been frequently used to discover parsimonious differential equations governing natural and physical systems. This includes recent extensions to SINDy that enable the recovery of discrete delay differential equations, where delay terms are represented explicitly in...

💬 0 commentsarXiv:2601.13536v1PDF
0

Posted in stat.ME · 2026-01-20 · Haidong Lu, Fan Li, Laine E. Thomas, Fan Li

What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?

The growing availability of large health databases has expanded the use of observational studies for comparative effectiveness research. Unlike randomized trials, observational studies must adjust for systematic differences in patient characteristics between treatment groups. Propensity score methods, including matching, weighting,...

💬 0 commentsarXiv:2601.13535v1PDF
0

Posted in cs.LG · 2026-01-20 · Xu Zhang, Junwei Deng, Chang Xu, Hao Li, Jiang Bian

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations

Time series generation (TSG) is widely used across domains, yet most existing methods assume regular sampling and fixed output resolutions. These assumptions are often violated in practice, where observations are irregular and sparse, while downstream applications require continuous and high-resolution TS. Although Neural Controlled...

💬 0 commentsarXiv:2601.13534v3PDF
0

Posted in cs.AI · 2026-01-20 · Changshuo Zhang

Reasoning While Recommending: Entropy-Guided Latent Reasoning in Generative Re-ranking Models

Reinforcement learning plays a crucial role in generative re-ranking scenarios due to its exploration-exploitation capabilities, but existing generative methods mostly fail to adapt to the dynamic entropy changes in model difficulty during list generation, making it challenging to accurately capture complex preferences. Given that...

💬 0 commentsarXiv:2601.13533v1PDF
0

Posted in hep-ph · 2026-01-20 · Mohammad Ali Gorji, Ashu Kushwaha, Teruaki Suyama

An upper limit on cosmological chiral gravitational wave background

Within the standard framework in which electroweak sphaleron processes relate lepton and baryon number, we derive an upper limit on the amplitude of a chiral gravitational wave background produced prior to the electroweak epoch. This bound is independent of the production time of chiral GWs for superhorizon modes, while it becomes...

💬 0 commentsarXiv:2601.13532v2PDF
0

Posted in eess.AS · 2026-01-20 · Chenda Li, Wei Wang, Marvin Sach, Wangyou Zhang, Kohei Saijo, Samuele Cornell, Yihui Fu, Zhaoheng Ni, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian

ICASSP 2026 URGENT Speech Enhancement Challenge

The ICASSP 2026 URGENT Challenge advances the series by focusing on universal speech enhancement (SE) systems that handle diverse distortions, domains, and input conditions. This overview paper details the challenge's motivation, task definitions, datasets, baseline systems, evaluation protocols, and results. The challenge is divided...

💬 0 commentsarXiv:2601.13531v1PDF
0

Posted in hep-lat · 2026-01-20 · Tomoya Hayata, Yoshimasa Hidaka, Yuta Kikuchi

Onset of thermalization of q-deformed SU(2) Yang-Mills theory on a trapped-ion quantum computer

Nonequilibrium dynamics of quantum many-body systems is one of the main targets of quantum simulations. This focus - together with rapid advances in quantum-computing hardware - has driven increasing applications in high-energy physics, particularly in lattice gauge theories. However, most existing experimental demonstrations remain...

💬 0 commentsarXiv:2601.13530v1PDF
0

Posted in cs.RO · 2026-01-20 · Pejman Kheradmand, Kent K. Yamamoto, Emma Webster, Keith Sowards, Gianna Hatheway, Katharine L. Jackson, Sabino Zani, Julie A. Raffi, Diandra N. Ayala-Peacock, Scott R. Silva, Joanna Deaton Bertram, Yash Chitalia

The OncoReach Stylet for Brachytherapy: Design Evaluation and Pilot Study

Cervical cancer accounts for a significant portion of the global cancer burden among women. Interstitial brachytherapy (ISBT) is a standard procedure for treating cervical cancer; it involves placing a radioactive source through a straight hollow needle within or in close proximity to the tumor and surrounding tissue. However, the use...

💬 0 commentsarXiv:2601.13529v2PDF
0

Posted in cs.CR · 2026-01-20 · Jackson Kaunismaa, Avery Griffin, John Hughes, Christina Q. Knight, Mrinank Sharma, Erik Jones

Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs

Model developers implement safeguards in frontier models to prevent misuse, for example, by employing classifiers to filter dangerous outputs. In this work, we demonstrate that even robustly safeguarded models can be used to elicit harmful capabilities in open-source models through elicitation attacks. Our elicitation attacks consist...

💬 0 commentsarXiv:2601.13528v1PDF
0

Posted in math.AG · 2026-01-20 · Yuto Masamura, Tomoki Yoshida

A construction of smooth varieties admitting small contractions

Given a smooth variety together with two smooth subvarieties, we construct, via two successive blowups, smooth varieties admitting small contractions. This generalizes Kawamata's example of small contraction in dimension 4. We also construct the flip of the contraction explicitly. As an application, from products of two del Pezzo...

💬 0 commentsarXiv:2601.13527v2PDF