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2601.03976
On-Device Deep Reinforcement Learning for Decentralized Task Offloading Performance trade-offs in the training process
Allowing less capable devices to offload computational tasks to more powerful devices or servers enables the development of new applications that may not run correctly on the device itself. Deciding where and why to run each of those applications is a complex task. Therefore, different approaches have been adopted to m...
2026-01-07
2026-01-08
[ "cs.ET", "cs.SY", "eess.SY" ]
Gorka Nieto, Idoia de la Iglesia, Cristina Perfecto, Unai Lopez-Novoa
2503.23314
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
Large Language Models (LLMs) have enabled dynamic reasoning in automated data analytics, yet recent multi-agent systems remain limited by rigid, single-path workflows that restrict strategic exploration and often lead to suboptimal outcomes. To overcome these limitations, we propose SPIO (Sequential Plan Integration an...
2026-01-07
2026-01-08
[ "cs.AI", "cs.CL", "cs.LG", "cs.MA" ]
Wonduk Seo, Juhyeon Lee, Yanjun Shao, Qingshan Zhou, Seunghyun Lee, Yi Bu
2504.05738
LLM-assisted Mutation for Whitebox API Testing
Cloud applications heavily rely on APIs to communicate with each other and exchange data. To ensure the reliability of cloud applications, cloud providers widely adopt API testing techniques. Unfortunately, existing API testing approaches are insufficient to reach strict conditions, a problem known as fitness plateaus,...
2026-01-07
2026-01-08
[ "cs.SE" ]
Jia Li, Jiacheng Shen, Yuxin Su, Michael R. Lyu
2501.09280
Effect of accretion on scalar superradiant instability
Superradiance can lead to the formation of a black hole (BH) condensate system. We thoroughly investigate the accretion effect on the evolution of this system, and the gravitational wave signals it emits in the presence of multiple superradiance modes. Assuming the multiplication of the BH mass and scalar mass as a sma...
2026-01-07
2026-01-08
[ "gr-qc", "hep-ph" ]
Yin-Da Guo, Shou-Shan Bao, Tianjun Li, Hong Zhang
2601.03588
AR Object Layout Method Using Miniature Room Generated from Depth Data
In augmented reality (AR), users can place virtual objects anywhere in a real-world room, called AR layout. Although several object manipulation techniques have been proposed in AR, it is difficult to use them for AR layout owing to the difficulty in freely changing the position and size of virtual objects. In this stu...
2026-01-07
2026-01-08
[ "cs.HC" ]
Keiichi Ihara, Ikkaku Kawaguchi
2601.00744
Strong anchoring boundary conditions in nematic liquid crystals: Higher-order corrections to the Oseen-Frank limit and a revised small-domain theory
Strong anchoring boundary conditions are conventionally modelled by imposing Dirichlet conditions on the order parameter in Landau--de Gennes theory, neglecting the finite surface energy of realistic anchoring. This work revisits the strong anchoring limit for nematic liquid crystals in confined two-dimensional domains...
2026-01-07
2026-01-08
[ "cond-mat.soft" ]
Prabakaran Rajamanickam
2601.04185
ImLoc: Revisiting Visual Localization with Image-based Representation
Existing visual localization methods are typically either 2D image-based, which are easy to build and maintain but limited in effective geometric reasoning, or 3D structure-based, which achieve high accuracy but require a centralized reconstruction and are difficult to update. In this work, we revisit visual localizati...
2026-01-07
2026-01-08
[ "cs.CV" ]
Xudong Jiang, Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys
2601.03545
muT2-NMR: Micro-Scale Correlation Relaxometry for in-situ High-Pressure Nuclear Magnetic Resonance
Over the last decade, frequency-domain in-situ high-pressure nuclear magnetic resonance (NMR) spectroscopy in diamond anvil cells (DACs) has been employed as a structural and electronic probe of condensed matter systems at pressures well into the megabar range. However, extensive spin interactions and sample heterogene...
2026-01-07
2026-01-08
[ "physics.ins-det", "cond-mat.mtrl-sci" ]
Thomas Meier, Meng Yang, Yishan Zhou, Yunhua Fu, Rui Zhang, Ziliang Wang, Tianyao Zheng, Rajesh Jana, Takeshi Nakagawa
2601.03676
Towards Compositional Generalization of LLMs via Skill Taxonomy Guided Data Synthesis
Large Language Models (LLMs) and agent-based systems often struggle with compositional generalization due to a data bottleneck in which complex skill combinations follow a long-tailed, power-law distribution, limiting both instruction-following performance and generalization in agent-centric tasks. To address this chal...
2026-01-07
2026-01-08
[ "cs.CL", "cs.AI" ]
Yifan Wei, Li Du, Xiaoyan Yu, Yang Feng, Angsheng Li
2403.18499
Mechanisms of THz Radiation Generation in Multi-Color Laser-Plasma Interactions: A Review Across Diverse Media
The exploration of Terahertz (THz) waves has captivated researchers across diverse scientific disciplines such as physics, spectroscopy, chemistry, biology, and engineering, driven by the myriad applications these waves offer. Within this expansive landscape, the development of efficient and reliable THz sources stands...
2026-01-07
2026-01-08
[ "physics.plasm-ph", "physics.app-ph" ]
A. A. Molavi Choobini, S. S. Ghaffari-Oskooei, M. Shahmansouri, F. M. Aghamir
2601.03889
Spectral Manifold Regularization for Stable and Modular Routing in Deep MoE Architectures
Mixture of Experts (MoE) architectures enable efficient scaling of neural networks but suffer from expert collapse, where routing converges to a few dominant experts. This reduces model capacity and causes catastrophic interference during adaptation. We propose the Spectrally-Regularized Mixture of Experts (SR-MoE), wh...
2026-01-07
2026-01-08
[ "cs.LG", "cs.AI" ]
Ibrahim Delibasoglu
2601.03836
Logic Programming with Extensible Types
Logic programming languages present clear advantages in terms of declarativeness and conciseness. However, the ideas of logic programming have been met with resistance in other programming communities, and have not generally been adopted by other paradigms and languages. This paper proposes a novel way to incorporate l...
2026-01-07
2026-01-08
[ "cs.PL", "cs.LO" ]
Ivan Perez, Angel Herranz
2601.03645
LLM-MC-Affect: LLM-Based Monte Carlo Modeling of Affective Trajectories and Latent Ambiguity for Interpersonal Dynamic Insight
Emotional coordination is a core property of human interaction that shapes how relational meaning is constructed in real time. While text-based affect inference has become increasingly feasible, prior approaches often treat sentiment as a deterministic point estimate for individual speakers, failing to capture the inhe...
2026-01-07
2026-01-08
[ "cs.CL", "cs.CY" ]
Yu-Zheng Lin, Bono Po-Jen Shih, John Paul Martin Encinas, Elizabeth Victoria Abraham Achom, Karan Himanshu Patel, Jesus Horacio Pacheco, Sicong Shao, Jyotikrishna Dass, Soheil Salehi, Pratik Satam
2512.04615
Ground state energy and phase transitions of Long-range XXZ using VQE
The variational quantum eigen solver (VQE), has been widely used to find the ground state energy of different Hamiltonians with no analytical solutions and are classically difficult to compute. In our work, we have used VQE to identify the phase transition boundary for an infinite order phase transition. We use long-ra...
2026-01-07
2026-01-08
[ "quant-ph", "cond-mat.str-el" ]
Mrinal Dev, Shraddha Sharma
2601.04143
Local structure of etale algebras
The goal of this note is to provide a constructive version of the proof of local structure of etale algebras.
2026-01-07
2026-01-08
[ "math.AC" ]
Thierry Coquand
2601.03743
O-Researcher: An Open Ended Deep Research Model via Multi-Agent Distillation and Agentic RL
The performance gap between closed-source and open-source large language models (LLMs) is largely attributed to disparities in access to high-quality training data. To bridge this gap, we introduce a novel framework for the automated synthesis of sophisticated, research-grade instructional data. Our approach centers on...
2026-01-07
2026-01-08
[ "cs.CL", "cs.AI" ]
Yi Yao, He Zhu, Piaohong Wang, Jincheng Ren, Xinlong Yang, Qianben Chen, Xiaowan Li, Dingfeng Shi, Jiaxian Li, Qiexiang Wang, Sinuo Wang, Xinpeng Liu, Jiaqi Wu, Minghao Liu, Wangchunshu Zhou
2601.03839
Logic Tensor Network-Enhanced Generative Adversarial Network
In this paper, we introduce Logic Tensor Network-Enhanced Generative Adversarial Network (LTN-GAN), a novel framework that enhances Generative Adversarial Networks (GANs) by incorporating Logic Tensor Networks (LTNs) to enforce domain-specific logical constraints during the sample generation process. Although GANs have...
2026-01-07
2026-01-08
[ "cs.LG", "cs.AI", "cs.LO" ]
Nijesh Upreti, Vaishak Belle
2510.04514
ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering
Recent multimodal LLMs have shown promise in chart-based visual question answering, but their performance declines sharply on unannotated charts-those requiring precise visual interpretation rather than relying on textual shortcuts. To address this, we introduce ChartAgent, a novel agentic framework that explicitly per...
2026-01-07
2026-01-08
[ "cs.AI", "cs.CE", "cs.CL", "cs.CV", "stat.ME" ]
Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso
2506.14435
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
Large multimodal Mixture-of-Experts (MoEs) effectively scale the model size to boost performance while maintaining fixed active parameters. However, previous works primarily utilized full-precision experts during sparse up-cycling. Despite they show superior performance on end tasks, the large amount of experts introdu...
2026-01-07
2026-01-08
[ "cs.CV", "cs.LG" ]
Hongyu Wang, Jiayu Xu, Ruiping Wang, Yan Feng, Yitao Zhai, Peng Pei, Xunliang Cai, Xilin Chen
2601.03721
Liouville theorems and gradient estimates of a nonlinear elliptic equation for the V-Laplacian
In this paper we establish gradient estimates for positive solutions to the nonlinear elliptic equation $$Δ_{V}u^{m}+μ(x)u+p(x)u^α=0 , \quad m>1$$on any smooth metric measure space whose $k$-Bakry-Émery curvature is bounded from below by $-(k-1)K$ with $K \geq 0$. Additionally, we obtain related Liouville theorems ...
2026-01-07
2026-01-08
[ "math.AP", "math.DG" ]
Yike Jia
2601.03922
Integration and Resource Estimation of Cryoelectronics for Superconducting Fault-Tolerant Quantum Computers
Scaling superconducting quantum computers to the fault-tolerant regime calls for a commensurate scaling of the classical control and readout stack. Today's systems largely rely on room-temperature, rack-based instrumentation connected to dilution-refrigerator cryostats through many coaxial cables. Looking ahead, superc...
2026-01-07
2026-01-08
[ "quant-ph", "cond-mat.mes-hall", "cond-mat.supr-con", "physics.app-ph" ]
Shiro Kawabata
2601.03482
Personalization of Large Foundation Models for Health Interventions
Large foundation models (LFMs) transform healthcare AI in prevention, diagnostics, and treatment. However, whether LFMs can provide truly personalized treatment recommendations remains an open question. Recent research has revealed multiple challenges for personalization, including the fundamental generalizability para...
2026-01-07
2026-01-08
[ "cs.AI", "cs.LG", "stat.AP" ]
Stefan Konigorski, Johannes E. Vedder, Babajide Alamu Owoyele, İbrahim Özkan
2601.03725
EDCO: Dynamic Curriculum Orchestration for Domain-specific Large Language Model Fine-tuning
Domain-specific large language models (LLMs), typically developed by fine-tuning a pre-trained general-purpose LLM on specialized datasets, represent a significant advancement in applied AI. A common strategy in LLM fine-tuning is curriculum learning, which pre-orders training samples based on metrics like difficulty t...
2026-01-07
2026-01-08
[ "cs.LG" ]
Jing-Cheng Pang, Liu Sun, Chang Zhou, Xian Tang, Haichuan Ma, Kun Jiang, Jianlong Wang, Kai Zhang, Sijie Wu, Haoran Cai, Chenwei Wu, Xubin Li, Xin Chen
2510.03959
Operational early warning of thunderstorm-driven power outages from open data: a two-stage machine learning approach
Thunderstorm-driven power outages are difficult to predict because most storms do not cause damage, convective processes occur rapidly and chaotically, and the available public data are noisy and incomplete. Severe convective storms now account for a large and rising share of U.S. weather losses, yet thunderstorm-induc...
2026-01-07
2026-01-08
[ "cs.LG" ]
Iryna Stanishevska, Seth Guikema
2601.03738
A glimpse into the Ultrametric spectrum
The non-relativistic string spectrum is built from integer-spaced energy quanta in such a way that the high-temperature asymptotics, via the Hardy-Ramanujan formula for integer partitions, reduces to standard two-dimensional thermodynamics. Here we explore deformed realizations of this behavior motivated by $p$-adic st...
2026-01-07
2026-01-08
[ "hep-th" ]
An Huang, Christian B. Jepsen
2601.02075
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
Molecular dynamics (MD) simulations are essential for understanding atomic-scale behaviors in materials science, yet writing LAMMPS scripts remains highly specialized and time-consuming tasks. Although LLMs show promise in code generation and domain-specific question answering, their performance in MD scenarios is limi...
2026-01-07
2026-01-08
[ "cs.CE", "cs.LG" ]
Zhuofan Shi, Hubao A, Yufei Shao, Dongliang Huang, Hongxu An, Chunxiao Xin, Haiyang Shen, Zhenyu Wang, Yunshan Na, Gang Huang, Xiang Jing
2601.03552
From Risk Perception to Behavior Large Language Models-Based Simulation of Pandemic Prevention Behaviors
Individual prevention behaviors are a primary line of defense during the early stages of novel infectious disease outbreaks, yet their adoption is heterogeneous and difficult to forecast-especially when empirical data are scarce and epidemic-policy contexts evolve rapidly. To address this gap, we develop an LLM-based p...
2026-01-07
2026-01-08
[ "cs.SI" ]
Lujia Bo, Mingxuan Chen, Youduo Chen, Xiaofan Gui, Jiang Bian, Chunyan Wang, Yi Liu
2601.03493
Submodular Evaluation Subset Selection in Automatic Prompt Optimization
Automatic prompt optimization reduces manual prompt engineering, but relies on task performance measured on a small, often randomly sampled evaluation subset as its main source of feedback signal. Despite this, how to select that evaluation subset is usually treated as an implementation detail. We study evaluation subs...
2026-01-07
2026-01-08
[ "cs.CL", "cs.AI" ]
Jinming Nian, Zhiyuan Peng, Hongwei Shang, Dae Hoon Park, Yi Fang
2601.03510
G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Semantic Segmentation
Semantic segmentation on point clouds is critical for 3D scene understanding. However, sparse and irregular point distributions provide limited appearance evidence, making geometry-only features insufficient to distinguish objects with similar shapes but distinct appearances (e.g., color, texture, material). We propose...
2026-01-07
2026-01-08
[ "cs.CV" ]
Hojun Song, Chae-yeong Song, Jeong-hun Hong, Chaewon Moon, Dong-hwi Kim, Gahyeon Kim, Soo Ye Kim, Yiyi Liao, Jaehyup Lee, Sang-hyo Park
2601.02953
Spectral and Phase Structure of a QCD-Inspired Unitary Matrix Model with Fisher-Hartwig Singularities
We investigate the large $N$ limit of a complex action unitary matrix model with Fisher-Hartwig singularities, motivated by QCD-inspired models with complexified potentials. We show that the model exhibits multiple ungapped phases and a single gapped phase. The phases are characterized by Fisher-Hartwig singularities i...
2026-01-07
2026-01-08
[ "hep-th" ]
Anuj Malik, Anees Ahmed
2511.06095
Characterizing all $K_4$-free well-edge-dominated graphs of girth 3
Given a graph $G$, a set $F$ of edges is an edge dominating set if all edges in $G$ are either in $F$ or adjacent to an edge in $F$. $G$ is said to be well-edge-dominated if every minimal edge dominating set is also minimum. In 2022, it was proven that there are precisely three nonbipartite, well-edge-dominated graphs ...
2026-01-07
2026-01-08
[ "math.CO" ]
Sarah E. Anderson, Kirsti Kuenzel
2601.03925
Polarization rotation through differential transmission in refractive CMB telescopes identified using a hybrid physical optics method
We identify a polarization rotation systematic in the far field beams of refractive cosmic microwave background (CMB) telescopes caused by differential transmission in anti-reflection (AR) coatings of optical elements. This systematic was identified following the development of a hybrid physical optics method that inco...
2026-01-07
2026-01-08
[ "astro-ph.IM", "astro-ph.CO", "physics.optics" ]
Xiaodong Ren, Rustam Balafendiev, Jon E. Gudmundsson
2601.03643
On $k$-connectivity oracles in $k$-connected graphs
A $k$-connectivity oracle for a graph $G=(V,E)$ is a data structure that given $s,t \in V$ determines whether there are at least $k+1$ internally disjoint $st$-paths in $G$. For undirected graphs, Pettie, Saranurak & Yin [STOC 2022, pp. 151-161] proved that any $k$-connectivity oracle requires $Ω(kn)$ bits of space. T...
2026-01-07
2026-01-08
[ "cs.DS" ]
Zeev Nutov
2601.04184
Transforming Video Subjective Testing with Training, Engagement, and Real-Time Feedback
Subjective video quality assessment is crucial for optimizing streaming and compression, yet traditional protocols face limitations in capturing nuanced perceptual differences and ensuring reliable user input. We propose an integrated framework that enhances rater training, enforces attention through real-time scoring,...
2026-01-07
2026-01-08
[ "cs.MM" ]
Kumar Rahul, Sriram Sethuraman, Andrew Segall, Yixu Chen
2601.03662
How Does the Thinking Step Influence Model Safety? An Entropy-based Safety Reminder for LRMs
Large Reasoning Models (LRMs) achieve remarkable success through explicit thinking steps, yet the thinking steps introduce a novel risk by potentially amplifying unsafe behaviors. Despite this vulnerability, conventional defense mechanisms remain ineffective as they overlook the unique reasoning dynamics of LRMs. In th...
2026-01-07
2026-01-08
[ "cs.AI" ]
Su-Hyeon Kim, Hyundong Jin, Yejin Lee, Yo-Sub Han
2504.08532
Search for charged-lepton flavour violation in top quark interactions with an up-type quark, a muon, and a $τ$ lepton in proton-proton collisions at $\sqrt{s}$ = 13 TeV
A search for charged-lepton flavour violation (CLFV) in top quark (t) production and decay is presented. The search uses proton-proton collision data corresponding to 138 fb$^{-1}$ collected with the CMS experiment at $\sqrt{s}$ = 13 TeV. The signal consists of the production of a single top quark via a CLFV interactio...
2026-01-07
2026-01-08
[ "hep-ex" ]
CMS Collaboration
2601.03472
Kinetic theory of dilute granular gases with hard-core and inverse power-law potentials under uniform shear flow: comparison with simplified model
We develop a kinetic-theory framework to investigate the steady rheology of a dilute gas interacting via a repulsive potential under uniform shear flow. Starting from the Boltzmann equation with a restitution coefficient that depends on the impact velocity and potential strength, we derive evolution equations for the s...
2026-01-07
2026-01-08
[ "cond-mat.soft", "cond-mat.stat-mech" ]
Yuria Kobayashi, Makoto R. Kikuchi, Shunsuke Iizuka, Satoshi Takada
2410.21381
Unveiling the nature of SN 2022jli: The first double-peaked stripped-envelope supernova showing periodic undulations and dust emission at late times
We present optical and infrared observations from maximum light until around +800 days of supernova (SN) 2022jli, a peculiar stripped-envelope (SE) SN showing two maxima, each one with a peak luminosity of about $3 \times 10^{42}$ erg s$^{-1}$, separated by 50 days. The second maximum is followed by unprecedented perio...
2026-01-07
2026-01-08
[ "astro-ph.HE", "astro-ph.CO" ]
Régis Cartier, Carlos Contreras, Maximilian Stritzinger, Mario Hamuy, Pilar Ruiz-Lapuente, Jose L. Prieto, Joseph P. Anderson, Aleksandar Cikota, Matthias Gerlach
2601.04103
Modeling the Effect of C/O Ratio on Complex Carbon Chemistry in Cold Molecular Clouds
Elemental abundances, which are often depleted with respect to the solar values, are important input parameters for kinetic models of interstellar chemistry. In particular, the amount of carbon relative to oxygen is known to have a strong effect on modeled abundances of many species. While previous studies have focused...
2026-01-07
2026-01-08
[ "astro-ph.GA" ]
Alex N. Byrne, Christopher N. Shingledecker, Edwin A. Bergin, Martin S. Holdren, Gabi Wenzel, Ci Xue, Troy Van Voorhis, Brett A. McGuire
2601.03577
Variational Inference, Entropy, and Orthogonality: A Unified Theory of Mixture-of-Experts
Mixture-of-Experts models enable large language models to scale efficiently, as they only activate a subset of experts for each input. Their core mechanisms, Top-k routing and auxiliary load balancing, remain heuristic, however, lacking a cohesive theoretical underpinning to support them. To this end, we build the firs...
2026-01-07
2026-01-08
[ "cs.LG" ]
Ye Su, Yong Liu
2509.18944
Easy estimates of Lyapunov exponents for random products of matrices
The problems that we consider in this paper are as follows. Let $A_1, \ldots, A_k$ be square matrices (over reals). Let $W=w(A_1, \ldots, A_k)$ be a random product of $n$ matrices. What is the expected absolute value of the largest (in the absolute value) entry in such a random product? What is the (maximal) Lyapunov e...
2026-01-07
2026-01-08
[ "math.GR", "math.DS" ]
Nadya Nabahi, Vladimir Shpilrain
2601.00347
Evidence for the suppression of the hybrid skin-topological effect by fragile topology
Topological insulators are well-known for their topological edge states, which are protected by the non-trivial bulk topology and characterized by gapless Wannier bands, a phenomenon known as the bulk-boundary correspondence. However, fragile topology challenged this concept, the Wannier bands are gapped, but the edge ...
2026-01-07
2026-01-08
[ "cond-mat.mes-hall" ]
Tianrui Liu
2410.19007
MOND as a transformation between non-inertial reference frames via Sciama's interpretation of Mach's Principle
Moderhai Milgrom's Modified Newtonian Dynamics (MOND) correction to Newtonian gravity or inertia is shown to be equivalent to a more fundamental formulation considering a non-inertial local reference frame and the fixed background of the observable universe, in the spirit of Mach's principle. Both Newton's gravitationa...
2026-01-07
2026-01-08
[ "physics.gen-ph" ]
Manuel Uruena Palomo