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arXiv preprints from January 1, 2026 through July 28, 2026 — 02:32:04 EST

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Posted in cs.CV · 2026-01-17 · Xiaotong Zhou, Zhenhui Yuan, Yi Han, Tianhua Xu, Laurence T. Yang

CARLA-Round: A Multi-Factor Simulation Dataset for Roundabout Trajectory Prediction

Accurate trajectory prediction of vehicles at roundabouts is critical for reducing traffic accidents, yet it remains highly challenging due to their circular road geometry, continuous merging and yielding interactions, and absence of traffic signals. Developing accurate prediction algorithms relies on reliable, multimodal, and...

💬 0 commentsarXiv:2601.12119v1PDF
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Posted in cs.NI · 2026-01-17 · Christos Liaskos, Evangelos Papapetrou, Kostas Katsalis, Dimitrios Tyrovolas, Alexandros Papadopoulos, Stavros Tsimpoukis, Arash Pourdamghani, Max Franke, Stefan Schmid

A Tutorial on Controlling Metasurfaces from the Network Perspective

Metasurfaces have emerged as transformative electromagnetic structures for wireless communications, enabling the real-time control over wave propagation, yielding potential for improved data rates, privacy, energy efficiency and even precise environmental sensing. This tutorial offers a perspective on controlling metasurfaces by...

💬 0 commentsarXiv:2601.12118v1PDF
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Posted in math.OC · 2026-01-17 · Jingren Liu, Hanzhang Qin, Junyi Liu, Mabel C. Chou, Jong-Shi Pang

Offline Policy Learning with Weight Clipping and Heaviside Composite Optimization

Offline policy learning aims to use historical data to learn an optimal personalized decision rule. In the standard estimate-then-optimize framework, reweighting-based methods (e.g., inverse propensity weighting or doubly robust estimators) are widely used to produce unbiased estimates of policy values. However, when the propensity...

💬 0 commentsarXiv:2601.12117v1PDF
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Posted in cs.RO · 2026-01-17 · Hang Xu, Yizhou Chen, Dongjie Yu, Yi Ren, Jia PanI

BiKC+: Bimanual Hierarchical Imitation with Keypose-Conditioned Coordination-Aware Consistency Policies

Robots are essential in industrial manufacturing due to their reliability and efficiency. They excel in performing simple and repetitive unimanual tasks but still face challenges with bimanual manipulation. This difficulty arises from the complexities of coordinating dual arms and handling multi-stage processes. Recent integration of...

💬 0 commentsarXiv:2601.12116v1PDF
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Posted in cs.HC · 2026-01-17 · Amy Koike, Yuki Okafuji, Sichao Song

Practical Insights into Designing Context-Aware Robot Voice Parameters in the Wild

Voice is an essential modality for human-robot interaction (HRI). The way a robot sounds plays a central role in shaping how humans perceive and engage with it, influencing factors such as intelligibility, understandability, and likability. Although prior work has examined voice design, most studies occur in controlled labs, leaving...

💬 0 commentsarXiv:2601.12115v1PDF
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Posted in physics.soc-ph · 2026-01-17 · Yikang Lu, Ying Wang, Alfonso de Miguel-Arribas, Lei Shi, Yamir Moreno

Evolutionary vaccination dynamics under higher-order reinforcement pressure

Vaccination games in higher-order settings remain underexplored, despite their importance in shaping opinions and collective decisions. Here, we introduce a parsimonious behavioral-epidemiological model to evaluate how peer reinforcement pressure influences vaccination uptake. The framework consists of a two-layer multiplex: an...

💬 0 commentsarXiv:2601.12114v1PDF
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Posted in math.DG · 2026-01-17 · Giacomo Perri

Hodge decomposition for Kato manifolds

We prove that any Kato manifold satisfies the Hodge decomposition, in the sense that $b_k=\sum_{p+q=k}h^{p, q}$, by relating its cohomology to the corresponding cohomology of its modification data. We give, therefore, more evidence supporting a conjecture of Ornea--Verbitsky stating that compact locally conformally Kähler manifolds...

💬 0 commentsarXiv:2601.12113v1PDF
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Posted in math.GR · 2026-01-17 · Alexander Ushakov, Yankun Wang

One-variable equations over the lamplighter group

We study one-variable equations over the lamplighter group $\MZ_2 \wr \MZ$. While the decidability of arbitrary equations over $L_2$ remains open, we prove that the Diophantine problem for single equations in one variable is decidable. Our approach reduces the problem to a divisibility question for families of parametric Laurent...

💬 0 commentsarXiv:2601.12112v1PDF
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Posted in cs.CV · 2026-01-17 · Wyatt McCurdy, Xin Zhang, Yuqi Song, Min Gao

RCDN: Real-Centered Detection Network for Robust Face Forgery Identification

Image forgery has become a critical threat with the rapid proliferation of AI-based generation tools, which make it increasingly easy to synthesize realistic but fraudulent facial content. Existing detection methods achieve near-perfect performance when training and testing are conducted within the same domain, yet their effectiveness...

💬 0 commentsarXiv:2601.12111v1PDF
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Posted in eess.SP · 2026-01-17 · David. Casillas-Pérez, Daniel. Merino-Pérez, Silvia. Jiménez-Fernández, J. Antonio. Portilla-Figueras, Sancho. Salcedo-Sanz

Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models

This paper proposes a robust non-linear generalized path-loss propagation model, the Extended Weighted ABG (EWABG), which efficiently allows generating a path-loss propagation model by combining several available path-loss datasets (from measurements campaigns) and other previously proposed state-of-the-art 5G path-loss propagation...

💬 0 commentsarXiv:2601.12110v1PDF
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Posted in cs.CV · 2026-01-17 · Larissa Ferreira Rodrigues Moreira, Rodrigo Moreira, Leonardo Gabriel Ferreira Rodrigues

Energy-Aware Ensemble Learning for Coffee Leaf Disease Classification

Coffee yields are contingent on the timely and accurate diagnosis of diseases; however, assessing leaf diseases in the field presents significant challenges. Although Artificial Intelligence (AI) vision models achieve high accuracy, their adoption is hindered by the limitations of constrained devices and intermittent connectivity....

💬 0 commentsarXiv:2601.12109v1PDF
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Posted in astro-ph.HE · 2026-01-17 · Run-Chao Chen, Jun Yang, Yi-Han Iris Yin, Bin-Bin Zhang

Detection of a Millisecond Periodicity in BATSE Short Gamma-Ray Bursts

Coherent oscillations at kilohertz frequencies have recently been detected in a small number of gamma-ray bursts (GRBs), suggesting quasi-periodic dynamics in their central engines. A prominent example is GRB~230307A, which exhibited a brief, highly coherent, energy-dependent periodic signal interpreted as the possible spin signature...

💬 0 commentsarXiv:2601.12108v1PDF
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Posted in cs.IT · 2026-01-17 · Qin Yuan, Chunlei Li, Xiangyong Zeng

On the Construction and Correlation Properties of Permutation-Interleaved Zadoff-Chu Sequences

Constant amplitude zero auto-correlation (CAZAC) sequences are widely applied in waveforms for radar and communication systems. Motivated by a recent work [Berggren and Popović, IEEE Trans. Inf. Theory 70(8), 6068-6075 (2024)], this paper further investigates the approach to generating CAZAC sequences by interleaving Zadoff-Chu (ZC)...

💬 0 commentsarXiv:2601.12107v1PDF
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Posted in cs.NI · 2026-01-17 · Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Tereza C. Carvalho, Flavio de Oliveira Silva

Noisy Neighbor Influence in the Data Plane of Beyond 5G Networks

Virtualization and containerization enhance the modularity and scalability of mobile network architectures, facilitating customized user services and improving management and orchestration across the network. In the context of the 5th Generation Mobile Network (5G), these advancements contribute to reduced Operational Expenditures...

💬 0 commentsarXiv:2601.12106v1PDF
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Posted in cs.CL · 2026-01-17 · David Ilić, David Stanojević, Kostadin Cvejoski

Powerful Training-Free Membership Inference Against Autoregressive Language Models

Fine-tuned language models pose significant privacy risks, as they may memorize and expose sensitive information from their training data. Membership inference attacks (MIAs) provide a principled framework for auditing these risks, yet existing methods achieve limited detection rates, particularly at the low false-positive thresholds...

💬 0 commentsarXiv:2601.12104v2PDF
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Posted in cs.CR · 2026-01-17 · Richik Chakraborty, Lawrence Liu, Syed Hasnain

Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling

Personalized health analytics increasingly rely on population benchmarks to provide contextual insights such as ''How do I compare to others like me?'' However, cohort-based aggregation of health data introduces nontrivial privacy risks, particularly in interactive and longitudinal digital platforms. Existing privacy frameworks such...

💬 0 commentsarXiv:2601.12105v1PDF
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Posted in cs.IR · 2026-01-16 · Yizhou Dang, Zhifu Wei, Minhan Huang, Lianbo Ma, Jianzhe Zhao, Guibing Guo, Xingwei Wang

Tail-Aware Data Augmentation for Long-Tail Sequential Recommendation

Sequential recommendation (SR) learns user preferences based on their historical interaction sequences and provides personalized suggestions. In real-world scenarios, most users can only interact with a handful of items, while the majority of items are seldom consumed. This pervasive long-tail challenge limits the model's ability to...

💬 0 commentsarXiv:2601.10933v1PDF
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Posted in cond-mat.dis-nn · 2026-01-16 · Yue Heng Liu, Zi-Xiang Hu, Qi Li

Disorder effects in two-dimensional flat-band system with next-nearest-neighbor hopping

For two-dimensional Lieb lattice, while intrinsic spin-orbit coupling is responsible for opening the gap that exhibits the quantum spin Hall effect, topological phase transitions are driven by a real next-nearest-neighbor (NNN) hopping. In this work, we utilize the transfer matrix method to study the flat-band localization mechanism...

💬 0 commentsarXiv:2601.10932v1PDF
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Posted in cs.CV · 2026-01-16 · David Szczecina, Hudson Sun, Anthony Bertnyk, Niloofar Azad, Kyle Gao, Lincoln Linlin Xu

Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images

Tree canopy detection from aerial imagery is an important task for environmental monitoring, urban planning, and ecosystem analysis. Simulating real-life data annotation scarcity, the Solafune Tree Canopy Detection competition provides a small and imbalanced dataset of only 150 annotated images, posing significant challenges for...

💬 0 commentsarXiv:2601.10931v2PDF
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Posted in cs.RO · 2026-01-16 · Zhixian Xie, Yu Xiang, Michael Posa, Wanxin Jin

Where to Touch, How to Contact: A Hierarchical RL-MPC Framework for Geometry-Aware Sim-to-Real Manipulation

A key challenge in contact-rich dexterous manipulation is the need to jointly reason over global geometry and nonsmooth contact dynamics. End-to-end policies bypass this complexity, but often require large amounts of data and transfer poorly from simulation to reality. We address the limitations with a simple insight: dexterous...

💬 0 commentsarXiv:2601.10930v4PDF
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Posted in cs.CR · 2026-01-16 · Dalibor Sain, Thomas Rosenstatter, Olaf Saßnick, Christian Schäfer, Stefan Huber

Secure Data Bridging in Industry 4.0: An OPC UA Aggregation Approach for Including Insecure Legacy Systems

The increased connectivity of industrial networks has led to a surge in cyberattacks, emphasizing the need for cybersecurity measures tailored to the specific requirements of industrial systems. Modern Industry 4.0 technologies, such as OPC UA, offer enhanced resilience against these threats. However, widespread adoption remains...

💬 0 commentsarXiv:2601.10929v1PDF
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Posted in cs.CV · 2026-01-16 · Muhammad Imran, Chi Lee, Yugyung Lee

MATEX: Multi-scale Attention and Text-guided Explainability of Medical Vision-Language Models

We introduce MATEX (Multi-scale Attention and Text-guided Explainability), a novel framework that advances interpretability in medical vision-language models by incorporating anatomically informed spatial reasoning. MATEX synergistically combines multi-layer attention rollout, text-guided spatial priors, and layer consistency analysis...

💬 0 commentsarXiv:2601.11666v1PDF
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Posted in cs.HC · 2026-01-16 · Conrad Borchers, Hannah Deininger, Zachary A. Pardos

Toward Trait-Aware Learning Analytics

Learning analytics (LA) draws from the learning sciences to interpret learner behavior and inform system design. Yet, past personalization remains largely at the content or performance level (during learner-system interactions), overlooking relatively stable individual differences such as personality (unfolding over long-term learning...

💬 0 commentsarXiv:2602.00018v1PDF
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Posted in astro-ph.HE · 2026-01-16 · Zhaosheng Li, Lucien Kuiper, Yuanyue Pan, Renxin Xu, Mingyu Ge, Shanshan Weng, Long Peng, Wenhui Yu, Yue Huang, Liang Zhang, Liming Song, Sergey V. Molkov, Alexander A. Lutovinov, Shu Zhang, Shuang-Nan Zhang

X-ray and radio observations of the AMXP MAXI J1957+032 covering the 2022-2025 outbursts

We presented a comprehensive multi-epoch timing and multiwavelength analysis of the accreting millisecond X-ray pulsar MAXI J1957+032, covering two major outbursts in 2022 and 2025. By reanalyzing the 2022 outburst data from the Neutron Star Interior Composition Explorer (NICER), we found the spin frequency and orbital parameters from...

💬 0 commentsarXiv:2601.10928v1PDF
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Posted in math.NT · 2026-01-16 · Todd Cochrane, Andrew Granville, Junren Zheng

Mixed incomplete character sums of rational functions with smooth moduli

Let $χ=χ_q$ be a primitive character mod $q$ and fix $Δ>0$. In 1989 Graham and Ringrose gave strong bounds on character sums $\sum_{M<n\leq M+N} χ(n)$ in intervals of length $N=q^Δ$ whenever $q$ is squarefree and is sufficiently smooth. Here we show that the smoothness parameter can be taken to be $N^{1-ε}$. We also discuss various...

💬 0 commentsarXiv:2601.10927v1PDF