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arXiv preprints from January 1, 2026 through July 20, 2026 — 07:14:59 EST

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Posted in math.MG · 2026-01-20 · Mei Han, Martin Henk, Fei Xue

Packing minima of convex bodies

In 2021, Henk, Schymura and Xue introduced packing minima, associated with a convex body and a lattice, as packing counterparts to the covering minima of Kannan and Lovász. Motivated by conjectures on the volume inequalities for the successive minima, we generalized the definition of the packing minima to the class of all convex...

💬 0 commentsarXiv:2601.13937v1PDF
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Posted in cs.CY · 2026-01-20 · Theresa Züger, Laura State, Lena Winter

Impact Matters! An Audit Method to Evaluate AI Projects and their Impact for Sustainability and Public Interest

The overall rapid increase of artificial intelligence (AI) use is linked to various initiatives that propose AI 'for good'. However, there is a lack of transparency in the goals of such projects, as well as a missing evaluation of their actual impacts on society and the planet. We close this gap by proposing public interest and...

💬 0 commentsarXiv:2601.13936v1PDF
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Posted in cs.CV · 2026-01-20 · Anoushkrit Goel, Simroop Singh, Ankita Joshi, Ranjeet Ranjan Jha, Chirag Ahuja, Aditya Nigam, Arnav Bhavsar

TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentation

White Matter Tract Segmentation is imperative for studying brain structural connectivity, neurological disorders and neurosurgery. This task remains complex, as tracts differ among themselves, across subjects and conditions, yet have similar 3D structure across hemispheres and subjects. To address these challenges, we propose...

💬 0 commentsarXiv:2601.13935v1PDF
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Posted in eess.SP · 2026-01-20 · Phuong Nam Tran, Nhan Thanh Nguyen, Hien Quoc Ngo, Markku Juntti

Deep Reinforcement Learning-Based Dynamic Resource Allocation in Cell-Free Massive MIMO

In this paper, we consider power allocation and antenna activation of cell-free massive multiple-input multiple-output (CFmMIMO) systems. We first derive closed-form expressions for the system spectral efficiency (SE) and energy efficiency (EE) as functions of the power allocation coefficients and the number of active antennas at the...

💬 0 commentsarXiv:2601.13934v4PDF
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Posted in cs.SE · 2026-01-20 · Mingming Zhang, Xu Wang, Jian Zhang, Xiangxin Meng, Jiayi Zhang, Chunming Hu

VulnResolver: A Hybrid Agent Framework for LLM-Based Automated Vulnerability Issue Resolution

As software systems grow in complexity, security vulnerabilities have become increasingly prevalent, posing serious risks and economic costs. Although automated detection tools such as fuzzers have advanced considerably, effective resolution still often depends on human expertise. Existing automated vulnerability repair (AVR) methods...

💬 0 commentsarXiv:2601.13933v1PDF
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Posted in physics.soc-ph · 2026-01-20 · A. Ferrer, D. Muñoz-Jordán, A. Rivero, A. Tarancón, C. Tarancón, D. Yllanes

Generating consensus and dissent on massive discussion platforms with a semantic-vector model

Reaching consensus on massive discussion networks is critical for reducing noise and achieving optimal collective outcomes. However, the natural tendency of humans to preserve their initial ideas constrains the emergence of global solutions. To address this, Collective Intelligence (CI) platforms facilitate the discovery of globally...

💬 0 commentsarXiv:2601.13932v2PDF
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Posted in cs.SD · 2026-01-20 · Yannis Vasilakis, Rachel Bittner, Johan Pauwels

Towards Effective Negation Modeling in Joint Audio-Text Models for Music

Joint audio-text models are widely used for music retrieval, yet they struggle with semantic phenomena such as negation. Negation is fundamental for distinguishing the absence (or presence) of musical elements (e.g., "with vocals" vs. "without vocals"), but current systems fail to represent this reliably. In this work, we investigate...

💬 0 commentsarXiv:2601.13931v1PDF
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Posted in math.ST · 2026-01-20 · Kohei Kawamoto, Yuichi Goto, Koji Tsukuda

On spectral clustering under non-isotropic Gaussian mixture models

We evaluate the misclustering probability of a spectral clustering algorithm under a Gaussian mixture model with a general covariance structure. The algorithm partitions the data into two groups based on the sign of the first principal component score. As a corollary of the main result, the clustering procedure is shown to be...

💬 0 commentsarXiv:2601.13930v2PDF
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Posted in cs.IT · 2026-01-20 · Qiaoling Zhang, Changlu Lin, Minquan Cheng

Proactive Coded Caching Scheme for D2D Networks

Coded caching and device-to-device (D2D) communication are two effective techniques for alleviating network traffic. Secure transmission and file privacy have also become critical concerns in these domains. However, prevailing coded caching schemes typically assume that a user's cached content is inaccessible to others, overlooking...

💬 0 commentsarXiv:2601.13929v1PDF
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Posted in cond-mat.str-el · 2026-01-20 · Licheng Wang, Dong-Hao Guan, Ai-Lei He, Shun-Li Yu, Yuan Zhou

Alternative $ν+ν$-picture of bosonic fractional Chern insulators at high filling factors in multiple flat-band systems

Most fractional quantum Hall states have been traditionally identified within a single energy band, such as the lowest Landau level or topological flat band. As more particles are introduced, they inevitably populate higher energy bands. Whether the inclusion of multiple topological bands leads to new physics remains an open question....

💬 0 commentsarXiv:2601.13928v1PDF
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Posted in eess.IV · 2026-01-20 · Yousef Sadegheih, Dorit Merhof, Pratibha Kumari

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation

Brain lesion segmentation from multi-modal MRI often assumes fixed modality sets or predefined pathologies, making existing models difficult to adapt across cohorts and imaging protocols. Continual learning (CL) offers a natural solution but current approaches either impose a maximum modality configuration or suffer from severe...

💬 0 commentsarXiv:2601.13927v1PDF
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Posted in q-bio.QM · 2026-01-20 · Peter Golenderov, Yaroslav Matushenko, Anastasia Tushina, Michal Barodkin

SCG With Your Phone: Diagnosis of Rhythmic Spectrum Disorders in Field Conditions

Aortic valve opening (AO) events are crucial for detecting frequency and rhythm disorders, especially in real-world settings where seismocardiography (SCG) signals collected via consumer smartphones are subject to noise, motion artifacts, and variability caused by device heterogeneity. In this work, we present a robust deep-learning...

💬 0 commentsarXiv:2601.13926v1PDF
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Posted in astro-ph.EP · 2026-01-20 · Noemie El-Bez-Sebastien, Sonia Fornasier, Antoine Seurat, Antonin Wargnier

Primitive asteroids in the main belt, Cybele, and Hilda populations from Gaia DR3

Primitive asteroids include C-, P-, and D-classes, known to be dark and having spectra mostly featureless. They differ in the spectral slope, which ranges from moderate values for C-types, and progressively increases in P- and D-types, the latter being the reddest. While C- and P-types are commonly observed in the asteroid main belt,...

💬 0 commentsarXiv:2601.13925v1PDF
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Posted in cs.CY · 2026-01-20 · Hiba Arnaout, Anmol Goel, H. Andrew Schwartz, Steffen T. Eberhardt, Dana Atzil-Slonim, Gavin Doherty, Brian Schwartz, Wolfgang Lutz, Tim Althoff, Munmun De Choudhury, Hamidreza Jamalabadi, Raj Sanjay Shah, Flor Miriam Plaza-del-Arco, Dirk Hovy, Maria Liakata, Iryna Gurevych

Responsible Evaluation of AI for Mental Health

Although artificial intelligence (AI) shows growing promise for mental health care, current approaches to evaluating AI tools in this domain remain fragmented and poorly aligned with clinical practice, social context, and first-hand user experience. This paper argues for a rethinking of responsible evaluation -- what is measured, by...

💬 0 commentsarXiv:2602.00065v2PDF
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Posted in physics.bio-ph · 2026-01-20 · V. Fazio, G. Puglisi, G. Saccomandi

Supercontraction-Induced Twist in Spider Silk Is a Dual Poynting Effect

Spider dragline silk supercontracts as humidity increases, displaying large axial shortening together with a reproducible macroscopic twist. The physical origin of this torsion remains debated and is often attributed to helically arranged load-bearing elements, despite the lack of direct evidence for helicity in the native fiber. Here...

💬 0 commentsarXiv:2601.13924v1PDF
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Posted in quant-ph · 2026-01-20 · Peter Chernev, Mouhamad Al-Mahmoud, Andon A. Rangelov

Universal composite phase gates with tunable target phase

We present a systematic method for constructing universal composite phase gates with a continuously tunable target phase. Using a general Cayley--Klein parametrization of the single-pulse propagator, we design gates from an even number of nominal $π$ pulses and derive analytic phase families by canceling, order by order in a small...

💬 0 commentsarXiv:2601.13923v1PDF
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Posted in cs.CL · 2026-01-20 · Adrian Cosma, Oleg Szehr, David Kletz, Alessandro Antonucci, Olivier Pelletier

Automatic Prompt Optimization for Dataset-Level Feature Discovery

Feature extraction from unstructured text is a critical step in many downstream classification pipelines, yet current approaches largely rely on hand-crafted prompts or fixed feature schemas. We formulate feature discovery as a dataset-level prompt optimization problem: given a labelled text corpus, the goal is to induce a global set...

💬 0 commentsarXiv:2601.13922v1PDF
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Posted in cs.GT · 2026-01-20 · Spyridon C. Giagtzoglou, Mark H. M. Winands, Barbara Franci

Asymmetric regularization mechanism for GAN training with Variational Inequalities

We formulate the training of generative adversarial networks (GANs) as a Nash equilibrium seeking problem. To stabilize the training process and find a Nash equilibrium, we propose an asymmetric regularization mechanism based on the classic Tikhonov step and on a novel zero-centered gradient penalty. Under smoothness and a local...

💬 0 commentsarXiv:2601.13920v1PDF
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Posted in cs.CL · 2026-01-20 · Yuezhe Yang, Hao Wang, Yige Peng, Jinman Kim, Lei Bi

HyperWalker: Dynamic Hypergraph-Based Deep Diagnosis for Multi-Hop Clinical Modeling across EHR and X-Ray in Medical VLMs

Automated clinical diagnosis remains a core challenge in medical AI, which usually requires models to integrate multi-modal data and reason across complex, case-specific contexts. Although recent methods have advanced medical report generation (MRG) and visual question answering (VQA) with medical vision-language models (VLMs), these...

💬 0 commentsarXiv:2601.13919v1PDF
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Posted in cs.CL · 2026-01-20 · Yusheng Liao, Chuan Xuan, Yutong Cai, Lina Yang, Zhe Chen, Yanfeng Wang, Yu Wang

AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization

Large Language Models have demonstrated profound utility in the medical domain. However, their application to autonomous Electronic Health Records~(EHRs) navigation remains constrained by a reliance on curated inputs and simplified retrieval tasks. To bridge the gap between idealized experimental settings and realistic clinical...

💬 0 commentsarXiv:2601.13918v1PDF
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Posted in math.AG · 2026-01-20 · Xiaodong Yi

A finiteness result on representations of Nori's fundamental group scheme

Let $(X,x)$ be a pointed geometrically connected smooth projective variety over a sub-$p$-adic field $K$. For any given rank $n$, we prove that there are only finitely many isomorphism classes of representations $π_{1}^{EF}(X,x)\rightarrow \mathrm{GL}_{n}$, where $π_{1}^{EF}(X,x)$ is Nori's fundamental group of essentially finite...

💬 0 commentsarXiv:2601.13917v2PDF
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Posted in math.CA · 2026-01-20 · Omer Friedland, Yosef Yomdin

Geometry-Driven Conditioning of Multivariate Vandermonde Matrices in High-Degree Regimes

We study multivariate monomial Vandermonde matrices $V_N(Z)$ with arbitrary distinct nodes $Z=\{z_1,\dots,z_s\}\subset B_2^n$ in the high-degree regime $N\ge s-1$. Introducing a projection-based geometric statistic -- the \emph{max-min projection separation} $ρ(Z,j)$ and its minimum $κ(Z)=\min_jρ(Z,j)$ -- we construct Lagrange...

💬 0 commentsarXiv:2601.13915v1PDF
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Posted in hep-ph · 2026-01-20 · Lars Georg, Robert V. Harlander, Robert H. Mason

The gradient-flow coupling of three-and four-dimensional QED

We evaluate the QED coupling in the gradient-flow scheme in three and four space-time dimensions. Our general result applies to any theory with a U(1) gauge field coupled to arbitary other fields via arbitrary interactions. As an example, we consider QED with $n_\text{f}$ flavors in three and four space-time dimensions and evaluate...

💬 0 commentsarXiv:2601.13914v1PDF