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Physics Preprint PDF DOI

Probing the $\gamma$-ray Emission Origin of Two Star-forming Galaxies NGC 2403 and NGC 3424 with the Fermi-LAT

Linjie Liu, Wei Zhang, Xian Hou, Pierrick Martin · 2026

Star-forming galaxies (SFGs) are a subclass of $\gamma$-ray emitters and a correlation between their $\gamma$-ray luminosity ($L_{\rm \gamma}$) and the total infrared (IR) luminosity ($L_{\rm IR}$) ha…

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AI & Data Science Preprint PDF DOI

A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching

Tianyu Yang, Md. Noor-E-Alam · 2026

Causal inference is essential for data-driven decision-making, as it aims to uncover causal relationships from observational data. However, identifying causality remains challenging due to the potenti…

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Computer Science Preprint PDF DOI

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows

Sajel Surati, Rosanna Bellini, Emily Black · 2026

When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making. However, there is little empirical exploration o…

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AI & Data Science Preprint PDF DOI

AGEL-Comp: A Neuro-Symbolic Framework for Compositional Generalization in Interactive Agents

Mahnoor Shahid, Hannes Rothe · 2026

Large Language Model (LLM)-based agents exhibit systemic failures in compositional generalization, limiting their robustness in interactive environments. This work introduces AGEL-Comp, a neuro-symbol…

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Mathematics Preprint PDF DOI

Improved Penalty Function Approaches for Optimization Problems with General Orthogonality

Yongshen Zhang, Xin Liu, Nachuan Xiao, Chunming Tang · 2026

In this paper, we consider a class of generalized orthogonal optimization constraint problems (GOOCP) over $\mathbb{R}^{n \times p}$, where the variable $X$ is restricted within the intersection of a …

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Physics Preprint PDF DOI

Imaginarity-generating power of unitaries: A resource-theoretic approach

Akhil Kumar Awasthi, Mrinmoy Samanta, Sudipta Mondal, Ayan Patra, Aditi Sen De · 2026

Imaginarity, stemming from the complex structure of quantum mechanics, has recently emerged as a fundamental resource, yet its dynamical generation remains largely unexplored. In this work, we introdu…

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Physics Preprint PDF DOI

Bragg-Williams order competes with superconductivity

Xu Liu, Xu Chen, Chuizhen Chen, Boqin Song, Jing Chen, Xijing Dai, Qinghua Zhang, Feng Jin, Xingya Wang, Weiwei Dong, Dongliang Yang, Gefei Li, Pengju Zhang, Jiangping Hu, Jian-gang Guo, Tianping Ying, Xiaolong Chen · 2026

Orderings in charge and spin have been extensively studied to unravel their correlation to emergent superconductivity over the past decades. Bragg-Williams order (BWO), a classical structural order pa…

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Computer Science Preprint PDF DOI

Testing Robustness of Temporal Transportation Networks via Interval Separators

Riccardo Dondi, Mohammad Mehdi Hosseinzadeh · 2026

This paper addresses the problem of identifying time interval separators in temporal networks. We introduce d-MinIntSep, a new variant of the temporal separator problem, which models failures as time …

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Physics Preprint PDF DOI

Submicrometer focusing of isolated attosecond XUV pulses approaching 10$^{16}$ W/cm$^2$

Kotaro Imasaka, Dianhong Dong, Natsuki Kanda, Bing Xue, Satoru Egawa, Takuya Hosobata, Yutaka Yamagata, Yasuo Nabekawa, Eiji J. Takahashi · 2026

We demonstrate submicrometer focusing of isolated attosecond pulses (IAPs) in the extreme ultraviolet (XUV) region using a custom ellipsoidal mirror. The obtained focal spot sizes were verified using …

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AI & Data Science Preprint PDF DOI

An Investigation of Linguistic Biases in LLM-Based Recommendations

Nitin Venkateswaran, Jason Ang, Deep Adhikari, Tarun Krishna Dasari · 2026

We investigate linguistic biases in LLM-based restaurant and product recommendations given prompts varying across Southern American English (AE), Indian English (IE), and Code-Switched Hindi-English d…

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AI & Data Science Preprint PDF DOI

VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification

Hongfei Wu, Ruijian Han, Yancheng Yuan · 2026

Imbalanced classification remains a pervasive challenge in machine learning, particularly when minority samples are too scarce to provide a robust discriminative boundary. In such extreme scenarios, c…

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Computer Science Preprint PDF DOI

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference

Takanori Hara, Masahiro Sasabe · 2026

Service Function Chaining (SFC) establishes efficient communication paths by ensuring that traffic traverses a predefined sequence of network functions in a specified order to meet particular service …

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Computer Science Preprint PDF DOI

Coasting Through Class: Learning Opportunity Loss from Practice Avoidance During Individual Seatwork

Ashish Gurung, Jordan Gutterman, Danielle R. Thomas, Mingyu Feng, Vincent Aleven, Kenneth R. Koedinger · 2026

Measures of disengagement provide insights into unproductive use of learning opportunities. Although measures of active disengagement, such as gaming the system and mind-wandering, are well studied, l…

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AI & Data Science Preprint PDF DOI

Incompressible Knowledge Probes: Estimating Black-Box LLM Parameter Counts via Factual Capacity

Bojie Li · 2026

Closed-source frontier labs do not disclose parameter counts, and the standard alternative -- inference economics -- carries $2\times$+ uncertainty from hardware, batching, and serving-stack assumptio…

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AI & Data Science Preprint PDF DOI

Point Cloud Registration for Fusion between SPECT MPI and CTA Images

Ni Yao, Xiangyu Liu, Shaojie Tang, Danyang Sun, Chuang Han, Yanting Li, Jiaofen Nan, Chengyang Li, Fubao Zhu, Chen Zhao, Zhihui Xu, Weihua Zhou · 2026

Clinical fusion of Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT MPI) and Computed Tomography Angiography (CTA) remains limited by cross-modality misregistration and r…

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Engineering Preprint PDF DOI

BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

Phat Lam · 2026

Electroencephalography (EEG) is highly susceptible to artifact contamination, such as electrooculographic (EOG) and electromyographic (EMG) interference, which severely degrades signal quality and hin…

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Physics Preprint PDF DOI

ECLAIRs: the SVOM high-energy transient trigger camera

O. Godet, J.-L. Atteia, S. Schanne, C. Lachaud, A. Goldwurm, F. Piron, Ph. Guillemot, C. Amoros, W. Bertoli, L. Bouchet, M. C. Charmeau, F. Chteau, B. Cordier, N. Dagoneau, F. Daly, J.-P. Dezalay, J. Galezzi, A. Givaudan, A. Gros, M. Karakac, K. Lacombe, H. Leprovost, S. Maestre, K. Mercier, H. Pasquier, L. Perraud, R. Pons, D. Rambaud, O. Simonella, T. Tourrette, H. Triou, V. Waegebaert, P. Bacon, T. Barlyaeva, N. Bellemont, M.-G. Bernardini, M. Brunet, F. Cangemi, C. Cavet, A. Coleiro, D. Corre, F. Daigne, A. Foisseau, O. Gevin, S. Guillot, U. Jacob, F. Lacreu, S. Le Stum, P. Maeght, T. Maiolino, A. Maolo, G. Tcherniatinksy, J. Wang, H. Yang · 2026

The core instrument of the SVOM Gamma-ray burst mission launched in June 2024 is the 4-150 keV 2-D coded mask camera ECLAIRs responsible for the autonomous trigger and localization of transient events…

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Physics Preprint PDF DOI

Evidence of Micron-Scale Ion Damage in (010), (110), and (011) ${\beta}-Ga_2O_3$ Epitaxial Layers

Carl Peterson, Chinmoy Nath Saha, Yizheng Liu, James S. Speck, Sriram Krishnamoorthy · 2026

We report on the experimental observation of up to 11.5 ${\mu}m$ deep charge depletion in (010), (110), and (011) ${\beta}-Ga_2O_3$ epitaxial layers due to ion damage from sputtering and inductively c…

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AI & Data Science Preprint PDF DOI

PeeriScope: A Multi-Faceted Framework for Evaluating Peer Review Quality

Sajad Ebrahimi, Soroush Sadeghian, Ali Ghorbanpour, Negar Arabzadeh, Sara Salamat, Seyed Mohammad Hosseini, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri · 2026

The increasing scale and variability of peer review in scholarly venues has created an urgent need for systematic, interpretable, and extensible tools to assess review quality. We present PeeriScope, …

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Computer Science Preprint PDF DOI

KubePACS: Kubernetes Cluster Using Performant, Highly Available, and Cost Efficient Spot Instances

Taeyoon Kim, Kyumin Kim, Enrique Molina-Gimenez, Pedro Garcia-Lopez, Kyungyong Lee · 2026

Cloud users aim to minimize cost while maximizing performance by selecting the most suitable instance types for their workloads. To reduce expenses, spot instances have been widely adopted due to thei…

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