Qwen Councils
arXiv could not process that search. Try a simpler keyword search or an arXiv field query such as all:quantum.
Showing downloaded papers while arXiv is unavailable.

All arXiv

arXiv preprints from January 1, 2026 through September 26, 2026 — 01:57:02 EST

0

Posted in cond-mat.mtrl-sci · 2026-01-06 · Sascha Albert Bräuninger, Damian Alexander Motz, Sebastian Praetz, Felix Seewald, Katharina Strecker, Carla Vogt, Hans-Henning Klauss, Birgit Kanngießer, Hermann Seifert

Fine and Hyperfine Interactions with Multi-level Spin Relaxation of the purified Giese-Salt in Veterinary Medicine: Prussian Blue Compound Ammonium-Ferric-Hexacyano-Ferrate

Ammonium ferric hexacyanoferrate is a veterinary-medical milestone and antidote against radiocesium, well-known as Giese-salt after the Chernobyl disaster fed to domestic and wild animals, which shows even a rich interplay of properties in nanostructural chemistry and ferromagnetism. Among the broad analytical techniques, the...

💬 0 commentsarXiv:2601.03313v1PDF
0

Posted in quant-ph · 2026-01-06 · Mathieu Padlewski, Tim Tuuva, Benjamin Apffel, Hervé Lissek, Romain Fleury

Nonseparability as Time-Averaged Dynamic States

Nonseparability - multipartite states that cannot be factorized - is one of the most striking features of quantum mechanics, as it gives rise to entanglement and non-causal correlations. In quantum computing, it also contributes directly to the computational advantage of quantum computers over its digital counterparts. In this work,...

💬 0 commentsarXiv:2601.02977v1PDF
0

Posted in gr-qc · 2026-01-06 · Si-Han Li, Hui-Chen Yang, Rui-Yang Xu, Shu-Min Wu

Does relativistic motion really freeze initially maximal entanglement?

We investigate the relativistic dynamics of quantum entanglement in a four-qubit cluster ($CL_4$) state using a fully operational Unruh-DeWitt detector framework. Contrary to the widely held expectation that the Unruh effect inevitably degrades initially maximal entanglement, we demonstrate that the $1-3$ bipartite entanglement of the...

💬 0 commentsarXiv:2601.02976v2PDF
0

Posted in math.NA · 2026-01-06 · Jiyu Liu, Zhixuan Li, Jiatu Yan, Zhiqi Li, Qinghai Zhang

A Fourth-Order Cut-cell Multigrid Method for Solving Elliptic Equations on Arbitrary Domains

To numerically solve a generic elliptic equation on two-dimensional domains with rectangular Cartesian grids, we propose a cut-cell geometric multigrid method that features (1) general algorithmic steps that apply to two-dimensional constant-coefficient elliptic equations with both divergence and non-divergence forms and all types of...

💬 0 commentsarXiv:2601.02975v3PDF
0

Posted in math.AG · 2026-01-06 · Livia Campo, Kento Fujita, Taro Sano, Luca Tasin

K-stability of Fano weighted hypersurfaces via plt flags and convex geometry

We develop a framework to study the K-stability of weighted Fano hypersurfaces based on a combination of birational and convex-geometric techniques. As an application, we prove that all quasi-smooth weighted Fano hypersurfaces of index 1 with at most two weights greater than 1 are K-stable. We also construct several examples of...

💬 0 commentsarXiv:2601.02974v1PDF
0

Posted in cond-mat.str-el · 2026-01-06 · Igor N. Karnaukhov

Electron pairing in model with two overlapping bands

We consider the two-band Hubbard model, where electrons from different bands interact through an on-site one- and two-particle hybridization. The proposed Hamiltonian makes it possible to construct an effective theory and answer the question of the nature of pairing: conduction electrons form pairs due to two-particle hybridization of...

💬 0 commentsarXiv:2601.02973v1PDF
0

Posted in cs.CL · 2026-01-06 · Nathanaël Carraz Rakotonirina, Ren Pang, Neha Anna John, Michael Bohlke-Schneider, Momchil Hardalov

Correct, Concise and Complete: Multi-stage Training For Adaptive Reasoning

The reasoning capabilities of large language models (LLMs) have improved substantially through increased test-time computation, typically in the form of intermediate tokens known as chain-of-thought (CoT). However, CoT often becomes unnecessarily long, increasing computation cost without actual accuracy gains or sometimes even...

💬 0 commentsarXiv:2601.02972v1PDF
0

Posted in cs.SE · 2026-01-06 · Muhammad Laiq

Few-shot learning for security bug report identification

Security bug reports require prompt identification to minimize the window of vulnerability in software systems. Traditional machine learning (ML) techniques for classifying bug reports to identify security bug reports rely heavily on large amounts of labeled data. However, datasets for security bug reports are often scarce in...

💬 0 commentsarXiv:2601.02971v1PDF
0

Posted in cs.CL · 2026-01-06 · Junseok Kim, Nakyeong Yang, Kyungmin Min, Kyomin Jung

Reliability-Aware Adaptive Self-Consistency for Efficient Sampling in LLM Reasoning

Self-Consistency improves reasoning reliability through multi-sample aggregation, but incurs substantial inference cost. Adaptive self-consistency methods mitigate this issue by adjusting the sampling budget; however, they rely on count-based stopping rules that treat all responses equally, often leading to unnecessary sampling. We...

💬 0 commentsarXiv:2601.02970v2PDF
0

Posted in hep-ph · 2026-01-06 · Tong Li, Rui-Jia Zhang

Solutions to axion electrodynamics with electric-magnetic duality in supersymmetric Seiberg-Witten theory

Axion and magnetic monopole are among the most fascinating candidates for physics beyond the Standard Model. The potential connection between axion and magnetic monopole stems from the Witten effect and is revealed by non-standard axion electrodynamics. Non-standard axion electrodynamics under electric-magnetic duality modifies...

💬 0 commentsarXiv:2601.02969v1PDF
0

Posted in cs.AI · 2026-01-06 · Qingxiang Liu, Zhiqing Cui, Xiaoliang Luo, Yuqian Wu, Zhuoyang Jiang, Huaiyu Wan, Sheng Sun, Lvchun Wang, Wei Yu, Yuxuan Liang

Rationale-Grounded In-Context Learning for Time Series Reasoning with Multimodal Large Language Models

The underperformance of existing multimodal large language models for time series reasoning lies in the absence of rationale priors that connect temporal observations to their downstream outcomes, which leads models to rely on superficial pattern matching rather than principled reasoning. We therefore propose the rationale-grounded...

💬 0 commentsarXiv:2601.02968v1PDF
0

Posted in cs.SD · 2026-01-06 · Yishu Lei, Shuwei He, Jing Hu, Dan Zhang, Xianlong Luo, Danxiang Zhu, Shikun Feng, Rui Liu, Jingzhou He, Yu Sun, Hua Wu, Haifeng Wang

MoE Adapter for Large Audio Language Models: Sparsity, Disentanglement, and Gradient-Conflict-Free

Extending the input modality of Large Language Models~(LLMs) to the audio domain is essential for achieving comprehensive multimodal perception. However, it is well-known that acoustic information is intrinsically \textit{heterogeneous}, entangling attributes such as speech, music, and environmental context. Existing research is...

💬 0 commentsarXiv:2601.02967v2PDF
0

Posted in cond-mat.supr-con · 2026-01-06 · Jakkapat Seeyangnok, Udomsilp Pinsook, Graeme J Ackland

Enhanced Electron-Phonon Coupling and Superconductivity in Ba-Alloyed A15 LaH5.75

Recent experiments have established rare earth A15 type hydrides as a distinct family of high temperature superconductors that can be stabilized at significantly lower pressures compared to other superconducting hydrides. In particular, A15 type LaH5.75 was recently shown to be a high Tc superconductor. We have investigated a range of...

💬 0 commentsarXiv:2601.02966v1PDF
0

Posted in cs.CL · 2026-01-06 · Phat Tran, Phuoc Pham, Hung Trinh, Tho Quan

Low-Resource Heuristics for Bahnaric Optical Character Recognition Improvement

Bahnar, a minority language spoken across Vietnam, Cambodia, and Laos, faces significant preservation challenges due to limited research and data availability. This study addresses the critical need for accurate digitization of Bahnar language documents through optical character recognition (OCR) technology. Digitizing scanned paper...

💬 0 commentsarXiv:2601.02965v1PDF
0

Posted in econ.GN · 2026-01-06 · Avner Seror

How Many Mechanisms? Measuring Parsimony in Risky Choice

Behavioral theories rest on parsimony: a small number of mechanisms organizing many decisions. We define a Maximum Rule Concentration Index that measures how parsimoniously a dataset of risky choices can be organized through a library of simple, parameter-free decision rules drawn from canonical behavioral theories: salience, regret,...

💬 0 commentsarXiv:2601.02964v4PDF
0

Posted in cond-mat.str-el · 2026-01-06 · Zhe Wang, Xi-Wang Luo, Bo-Ye Sun, Zheng-Wei Zhou

Soliton Pumping in the Rice-Mele Model with On-Cell Kerr Nonlinearity

We investigate the Rice-Mele model with on-cell Kerr-type nonlinearities, where the interaction depends on the total particle number within each unit cell rather than on individual sites. This interaction enables a nontrivial interplay between topology and nonlinear dynamics in soliton pumping. In the weakly interacting regime, the...

💬 0 commentsarXiv:2601.02963v1PDF
0

Posted in cs.IR · 2026-01-06 · Fabian Haak, Philipp Schaer

Auditing Search Query Suggestion Bias Through Recursive Algorithm Interrogation

Despite their important role in online information search, search query suggestions have not been researched as much as most other aspects of search engines. Although reasons for this are multi-faceted, the sparseness of context and the limited data basis of up to ten suggestions per search query pose the most significant problem in...

💬 0 commentsarXiv:2601.02962v1PDF
0

Posted in astro-ph.CO · 2026-01-06 · Iman Motie, Jafar Khodagholizadeh, S. Mahmoudi, Brahim Lamine, Alain Blanchard

Polarization of the CMB in the Standard Model Extension

In standard cosmology, Cosmic Microwave Background photons near the last scattering surface exhibit only linear polarization due to Compton scattering, leading to the assumption that primordial circular polarization is negligible. However, the physics of Lorentz violation (LV), associated with specific operators, can influence these...

💬 0 commentsarXiv:2601.02961v1PDF
0

Posted in astro-ph.SR · 2026-01-06 · Pinjian Chen, Bingqiu Chen, Xiaodian Chen, Haibo Yuan, Jianrong Shi, Shu Wang, Chunqian Li, Jiyu Wang, Jianxing Zhang, Yi Ren

Discovery of an Extremely Luminous Type II Cepheid in the Andromeda Giant Stellar Stream: Evidence for a Hierarchical Triple with an Inner Binary Merger

We report the discovery of LAMOST J0041+3948, the most luminous post-AGB Type II Cepheid (TIIC) known, located in the Andromeda Giant Stellar Stream. Its spectral energy distribution (SED) exhibits a strong near-infrared excess, indicating the presence of a circumbinary dusty disk and hence binarity. SED fitting yields an effective...

💬 0 commentsarXiv:2601.02960v1PDF
0

Posted in cond-mat.supr-con · 2026-01-06 · Jakkapat Seeyangnok, Udomsilp Pinsook, Graeme J Ackland

Charge Density Wave Order and Superconductivity in Janus MoXH Monolayers

Two-dimensional Janus hydrogenated transition metal chalcogenides provide an unusual platform where lattice instabilities, electron-phonon coupling, and superconductivity are strongly intertwined. Using first-principles calculations, we demonstrate that Janus 2H and 1T MoXH (X = S, Se) monolayers host an intrinsic, commensurate charge...

💬 0 commentsarXiv:2601.02959v1PDF
0

Posted in eess.SY · 2026-01-06 · Mingxuan Li, Wei Wei, Yin Xu, Chengeng Zhang, Shanshan Shi

Post-Earthquake Restoration of Electricity-Gas Distribution Systems with Damage Information Collection and Repair Vehicle Routing

Extreme events such as earthquakes pose significant threats to integrated electricity-gas distribution systems (IEGDS) by causing widespread damage. Existing restoration approaches typically assume full awareness of damage, which may not be true if monitoring and communication infrastructures are impaired. In such circumstances, field...

💬 0 commentsarXiv:2601.02958v1PDF
0

Posted in cs.CL · 2026-01-06 · Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Saefken, Alexander Silbersdorff, Thomas Kneib

LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation

This paper introduces a novel changepoint detection framework that combines ensemble statistical methods with Large Language Models (LLMs) to enhance both detection accuracy and the interpretability of regime changes in time series data. Two critical limitations in the field are addressed. First, individual detection methods exhibit...

💬 0 commentsarXiv:2601.02957v3PDF
0

Posted in cs.CL · 2026-01-06 · Jeonghyun Park, Byeongjeong Kim, Seojin Hwang, Hwanhee Lee

Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion

Multilingual Retrieval-Augmented Generation (mRAG) systems often exhibit a perceived preference for high-resource languages, particularly English, resulting in the widespread adoption of English pivoting. While prior studies attribute this advantage to the superior English-centric capabilities of Large Language Models (LLMs), we find...

💬 0 commentsarXiv:2601.02956v3PDF
0

Posted in cs.IR · 2026-01-06 · Boyang Xia, Zhou Yu, Zhiliang Zhu, Hanxiao Sun, Biyun Han, Jun Wang, Runnan Liu, Wenwu Ou

Rethinking Multi-objective Ranking Ensemble in Recommender System: From Score Fusion to Rank Consistency

The industrial recommender systems always pursue more than one business goals. The inherent intensions between objectives pose significant challenges for ranking stage. A popular solution is to build a multi-objective ensemble (ME) model to integrate multi-objective predictions into a unified score. Although there have been some...

💬 0 commentsarXiv:2601.02955v3PDF
0

Posted in math.GR · 2026-01-06 · Muhammad Shah, S. Shpectorov

Enumerating AG-monoids algebraically

An AG-monoid is an AG-groupoid (a groupoid satisfying the identity called left invertive law $(xy)z=(zy)x$) and having a left identiy. In this paper we enumerate AG-monoids algebraically and then implement them in GAP to compute them computationally.

💬 0 commentsarXiv:2601.03312v1PDF