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Physics Preprint PDF DOI

The DAMSA Experiment

Prithak Bhattarai, Andrew Brandt, Alan Bross, Bradley Brown, Samriddha Chakraborty, Haohui Che, Bhupal Dev, Bhaskar Dutta, Juan V. Estrada, Eric Garcia, Anthony Gomez, Gajendra Gurung, Brian Joshua Gomez Hernandez, Wooyoung Jang, Jay Hyun Jo, Krzysztof Jod{l}owski, Doojin Kim, Eunsu Kim, Hyunyong Kim, Shin Hyung Kim, Young-Kee Kim, Jing Liu, Chang-Seong Moon, Donna Naples, David Nygren, Minseok Oh, Vittorio Paolone, Hyangkyu Park, Jong-Chul Park, Nathaniel J. Pastika, Rohit Raut, Juergen Reichenbacher, Paul Rubinov, Eunsuk Seo, Veronika Shalamova, Seodong Shin, Melvin Shochet, Adrian Thompson, Yau Wah, Shawn Westerdale, Guang Yang, Un-Ki Yang, Inseok Yoon, Jaehoon Yu · 2026

DAMSA (DArk Messenger Searches at an Accelerator) is a novel short-baseline accelerator/beam dump experiment aimed at probing short-lived physics processes, including searches for evidence of a dark s…

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Neuroscience Preprint PDF DOI

On Agentic Behavioral Modeling

Dirk Ostwald, Rasmus Bruckner, Franziska Usee, Belinda Fleischmann, Joram Soch, Sean Mulready · 2026

Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI mod…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Code Smell Detection in Angular Applications

Maykon Nunes, Emanuel Coutinho, Carla Bezerra, Ivan Machado · 2026

Angular is one of the most widely adopted frameworks for developing large-scale, dynamic web applications. As projects increase in scope and complexity, developers face growing challenges in managing …

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Computer Science Preprint PDF DOI

Accent Conversion: A Problem-Driven Survey of Sociolinguistic and Technical Constraints

Yurii Halychanskyi, Jianfeng Steven Guo, Volodymyr Kindratenko · 2026

Accent conversion has rapidly progressed alongside growing interest in improving global cross-cultural communication. This survey presents an overview of the evolution of accent conversion methodologi…

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Physics Preprint PDF DOI

Beyond Cloud-9: The case for discovering more HI-rich failed halos

Jorge Moreno, Coral Wheeler, Francisco J. Mercado, M. Katy Rodriguez Wimberly, Pratik J. Gandhi, Jenna Samuel, Robert Feldmann, James S. Bullock, Andrew Wetzel, Michael Boylan-Kolchin · 2026

HI-rich starless halos, should they exist, hold great promise for elucidating properties of dark matter halos. This Letter examines the properties of HI-rich failed halos at redshift zero across state…

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Physics Preprint PDF DOI

Permutation Invariant Optimization Problems in Quantum Information Theory: A Framework for Channel Fidelity and Beyond

Bjarne Bergh, Marco Parentin · 2026

Exploiting permutation invariance to reduce the exponential scaling of semidefinite programs in quantum information has emerged as a powerful computational technique. In this work, we develop a system…

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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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Computer Science Preprint PDF DOI

The Bandit's Blind Spot: The Critical Role of User State Representation in Recommender Systems

Pedro R. Pires, Gregorio F. Azevedo, Rafael T. Sereicikas, Pietro L. Campos, Tiago A. Almeida · 2026

With the increasing availability of online information, recommender systems have become an important tool for many web-based systems. Due to the continuous aspect of recommendation environments, these…

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Mathematics Preprint PDF DOI

Reidemeister and movie moves for involutive links

Maciej Borodzik, Irving Dai, Abhishek Mallick, Matthew Stoffregen · 2026

An involutive link is a link which is invariant under the standard rotation by 180 degrees in $S^3$. We establish an equivariant analogue of the work of Carter and Saito aimed at studying equivariant …

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Physics Preprint PDF DOI

Global DIC-based sample-detector geometry refinement for accurate EBSD indexing

Claire Griesbach, Dennis M. Kochmann · 2026

Electron backscatter diffraction is a powerful tool for mapping crystallographic microstructures. However, the primary crux to improving orientation accuracy and applying the technique to challenging …

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AI & Data Science Preprint PDF DOI

Beyond Fidelity: Semantic Similarity Assessment in Low-Level Image Processing

Runjie Wang, Weiling Chen, Tiesong Zhao, Chang Wen Chen · 2026

Low-level image processing has long been evaluated mainly from the perspective of visual fidelity. However, with the rise of deep learning and generative models, processed images may preserve perceptu…

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AI & Data Science Preprint PDF DOI

Online learning with Erd\H{o}s-R\'enyi side-observation graphs

Tomas Kocak, Gergely Neu, Michal Valko · 2026

We consider adversarial multi-armed bandit problems where the learner is allowed to observe losses of a number of arms beside the arm that it actually chose. We study the case where all non-chosen arm…

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AI & Data Science Preprint PDF DOI

Co-Director: Agentic Generative Video Storytelling

Yale Song, Yiwen Song, Nick Losier, Nathan Hodson, Ye Jin, Rhyard Zhu, Yan Xu, Daniel Vlasic, Carina Claassen, Jasmine Leon, Khanh G. LeViet, Zack Chomyn, Joe Timmons, Brett Slatkin, Scott Penberthy, Tomas Pfister · 2026

While diffusion models generate high-fidelity video clips, transforming them into coherent storytelling engines remains challenging. Current agentic pipelines automate this via chained modules but suf…

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AI & Data Science Preprint PDF DOI

Benefits and Costs of Adaptive Sampling

Yu-Shiou Willy Lin, Dae Woong Ham, Iavor Bojinov · 2026

Multi-armed bandits are widely used for sequential experimentation in clinical trials, recommendation systems, and online platforms. While regret minimization and valid inference from adaptively colle…

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Physics Preprint PDF DOI

On the Two $R$-Factors in the Small-$x$ Shockwave Formalism

Yuri V. Kovchegov, M. Gabriel Santiago, Huachen Sun · 2026

There are two $R$-factors frequently used in the phenomenology of exclusive processes at small values of the Bjorken $x$ variable. One $R$-factor takes into account the effects of non-zero longitudina…

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Computer Science Preprint PDF DOI

Evaluation of LLM-Based Software Engineering Tools: Practices, Challenges, and Future Directions

Utku Boran Torun, Veli Karakaya, Ali Babar, Eray Tuzun · 2026

Large Language Models (LLMs) are increasingly embedded in software engineering (SE) tools, powering applications such as code generation, automated code review, and bug triage. As these LLM-based AI f…

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Physics Preprint PDF DOI

GSC-QEMit: A Telemetry-Driven Hierarchical Forecast-and-Bandit Framework for Adaptive Quantum Error Mitigation

Steven Szachara, Sheeraja Rajakrishnan, Dylan Jay Van Allen, Jason Pollack, Travis Desell, Daniel Krutz · 2026

Quantum error mitigation (QEM) is essential for extracting reliable results from near-term quantum devices, yet practical deployments must balance mitigation strength against runtime overhead under ti…

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Computer Science Preprint PDF DOI

SWE-QA: A Dataset and Benchmark for Complex Code Understanding

Laila Elkoussy (LRE, EPITA), Julien Perez (EPITA, LRE) · 2026

In this paper, we introduce SWE-QA, a text and code corpus aimed at benchmarking multi-hop code comprehension, addressing the gap between simplified evaluation tasks and the complex reasoning required…

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AI & Data Science Preprint PDF DOI

A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks

Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos Tserpes · 2026

Edge computing environments impose strict constraints on energy consumption and latency, making the deployment of deep neural networks a significant challenge. Therefore, smart and adaptive inference …

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AI & Data Science Preprint PDF DOI

Fed-DLoRA: Efficient Wireless Federated Learning with Dynamic Low-Rank Adaptation

Huaicheng Li, Junhui Zhao, Haoyu Quan, Xiaoming Wang · 2026

Federated learning (FL) offers a promising distributed learning paradigm for internet of vehicles (IoV) applications. However, it faces challenges from communication overhead and dynamic environments.…

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