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Physics Preprint PDF DOI

Symmetry Preserving Contact Interaction Approaches: An Overview of Meson and Diquark Form Factors

L.X. Gutierrez-Guerrero, Roger Jose Hernandez-Pinto ยท 2026

We present an updated overview of the symmetry preserving Contact Interaction model in hadronic physics, developed a little over a decade ago to describe the mass spectrum and internal structure of meโ€ฆ

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Physics Preprint PDF DOI

Localization and Confidence Region Estimation of Short GRBs with the COSI BGO Shield Using a HEALPix-Based Deep Learning Approach

N. Parmiggiani, A. Bulgarelli, G. Panebianco, E. Burns, E. Neights, V. Fioretti, I. Martinez-Castellanos, L. Castaldini, A. Ciabattoni, A. Di Piano, R. Falco, S. Gallego, G. Mustafa, P. Patel, A. Rizzo, E. A. Wulf, D. H. Hartmann, C. A. Kierans, J. A. Tomsick, A. Zoglauer ยท 2026

The Compton Spectrometer and Imager is a NASA satellite mission under development that will survey the entire sky in the 0.2-5 MeV range using a wide-field germanium detector array, surrounded on the โ€ฆ

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Physics Preprint PDF DOI

QLLVM: A Scalable Quantum-Classical Co-Compilation Framework based on LLVM

Yu Zhu, Qiming Du, Yuqiong Jin, Woji He, Hang Lian, Xin Zhou, Jinchen Xu, Zheng Shan ยท 2026

To address the urgent need in the NISQ era for high-performance, scalable quantum compilers and to advance the integration of classical and quantum computing, we present QLLVM, an advanced Quantum-Claโ€ฆ

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Physics Preprint PDF DOI

Roadmap on Attosecond Science

Rocio Borrego Varillas, Pierre Agostini, Fernando Ardana-Lamas, Cord L. Arnold, David Ayuso, Maurizio Reduzzi, Jakub Benda, Jens Biegert, Charles Bourassin-Bouchet, Thomas Brabec, Christian Brahms, Andrew C. Brown, David Busto, Jeremie Caillat, Francesca Calegari, Carlo Callegari, Stefanos Carlstrom, Zenghu Chang, Ming-Chang Chen, Anna G. Ciriolo, Paul Corkum, Gabriele Crippa, Rafael de Q. Garcia, Louis DiMauro, Nirit Dudovich, Per Eng-Johnsson, Davide Facciala, Philip Flores, Titouan Gadeyne, Gianluca Aldo Geloni, Chase Geirger, Shima Gholam-Mirzaei, Jimena D. Gorfinkiel, Eleftherios Goulielmakis, Mohammed Hassan, Carlos Hernandez-Garcia, Phay Ho, Dandan Hui, Lynda R. Hutcheson, Misha Ivanov, Subhendu Kahaly, Henry Kapteyn, Nicholas Karpowicz, Franz X. Kartner, Matthias Kling, Omer Kneller, Dong Hyuk Ko, Peter M. Kraus, Maximilian Kubullek, Stephen R. Leone, Franck Lepine, Anne L'Huillier, Chen-Ting Liao, Thomas Linker, Alexander Gabriel Lohr, Matteo Lucchini, Lars Bojer Madsen, Roland E. Mainz, Balazs Major, Jon P. Marangos, David Marco, Hugo Marroux, Sean Marshallsay, Rebeca Martinez Vazquez, Rodrigo Martin-Hernandez, Zdenek Masin, Michael Meyer, Felipe Morales Moreno, Margaret Murnane, Daniel M. Neumark, Mauro Nisoli, Marcus Ossiander, Sreelakshmi Palakka, Serguei Patchkovskii, Zekun Pi, Luis Plaja, Julita Poborska, Miguel A. Porras, Kevin C. Prince, David N. Purschke, Nicolette G. Puskar, Giulio Maria Rossi, Jeremy R. Rouxel, Thierry Ruchon, Patrick Rupprecht, Pascal Salieres, Giuseppe Sansone, Fabian Scheiba, Martin Schultze, Bernd Schutte, Svitozar Serkez, Miguel A. Silva-Toledo, Olga Smirnova, Salvatore Stagira, Andrea Trabattoni, John C. Travers, Igor Tyulnev, Morgane Vacher, Giulio Vampa, Hugo W. van der Hart, Katalin Varju, Anne-Lise Viotti, Vartika Vishnoi, Marc Vrakking, Vincent Wanie, Stefan Witte, Fei Xu, Vladislav S. Yakovlev, Linda Young, Diling Zhu, Caterina Vozzi ยท 2026

Twenty-five years have passed since the first experimental demonstration of attosecond pulses, marking the advent of our ability to resolve and control electron motion in real time. What began as a teโ€ฆ

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AI & Data Science Preprint PDF DOI

Where are the Humans? A Scoping Review of Fairness in Multi-agent AI Systems

Simeon Allmendinger, Luca Deck, Lucas Mueller ยท 2026

Rapid advances in Generative AI are giving rise to increasingly sophisticated Multi-Agent AI (MAAI) systems. While AI fairness has been extensively studied in traditional predictive scenarios, its exaโ€ฆ

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Physics Preprint PDF DOI

Continuing to Advance European High Contrast Imaging Research and Development towards HWO and LIFE

Gael Chauvin, Oscar Carrion Gonzalez, Iva Laginja, Daniel Dicken, Sebastiaan Haffert, Markus Kasper, Olivier Absil, Jens Kammerer, Axel Potier, Herve Le Coroller, Elisabeth Matthews, Romain Laugier, Denis Defrere, Jonah Hansen, Oliver Krause, Pieter de Visser, Mikael Karlsson, Thomas Henning, Marc Ferrari, Jonas Kuehn, Markus Janson, Feng Zhao, Celia Desgrange ยท 2026

The European Research and Development for Space based High Contrast Imaging II Workshop, held at MPIA in May 2025, advanced Europe strategic coordination in support of future exoplanet imaging missionโ€ฆ

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Engineering Preprint PDF DOI

Trajectory Planning for a Multi-UAV Rigid-Payload Cascaded Transportation System Based on Enhanced Tube-RRT*

Jianqiao Yu, Jia Li, Tianhua Gao ยท 2026

This paper presents a two-stage trajectory planning framework for a multi-UAV rigid-payload cascaded transportation system, aiming to address planning challenges in densely cluttered environments. In โ€ฆ

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AI & Data Science Preprint PDF DOI

Implicit Neural Representations: A Signal Processing Perspective

Dhananjaya Jayasundara, Vishal M. Patel ยท 2026

Implicit neural representations (INRs) mark a fundamental shift in signal modeling, moving from discrete sampled data to continuous functional representations. By parameterizing signals as neural netwโ€ฆ

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Physics Preprint PDF DOI

SyQMA: A memory-efficient, symbolic and exact universal simulator for quantum error correction

George Umbrarescu, David Amaro ยท 2026

The classical simulation of universal quantum circuits is crucial both fundamentally and practically for quantum computation. We propose SyQMA, a simulator with several convenient features, particularโ€ฆ

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Computer Science Preprint PDF DOI

HintPilot: LLM-based Compiler Hint Synthesis for Code Optimization

Hanyun Jiang, Peisen Yao, Kaiyue Li, Tingting Lin, Chengpeng Wang, Kui Ren ยท 2026

Code optimization remains a core objective in software development, yet modern compilers struggle to navigate the enormous optimization spaces. While recent research has looked into employing large laโ€ฆ

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Computer Science Preprint PDF DOI

Applying SHAPR in AI-Assisted Research Software Development: Lessons Learnt from Building a Share Trading System

Ka Ching Chan ยท 2026

Generative AI is changing how research software is developed, but rapid AI-assisted development can weaken continuity, traceability, and methodological clarity. SHAPR (Solo, Human-centred, AI-assistedโ€ฆ

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AI & Data Science Preprint PDF DOI

Discovering Novel LLM Experts via Task-Capability Coevolution

Andrew Dai, Boris Meinardus, Ciaran Regan, Yingtao Tian, Yujin Tang ยท 2026

Frontier model developers aim to train models continually to possess emergent, diverse capabilities. To extend capabilities, the current pre-training and post-training paradigm requires manually startโ€ฆ

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Mathematics Preprint PDF DOI

Formalizing Wu-Ritt Method in Lean 4

Yuxuan Xiao, Hao Shen, Junyu Guo, Dingkang Wang, Lihong Zhi ยท 2026

We formalize the Wu-Ritt characteristic set method for the triangular decomposition of polynomial systems in the Lean 4 theorem prover. Our development includes the core algebraic notions of the methoโ€ฆ

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AI & Data Science Preprint PDF DOI

MetaDent: Labeling Clinical Images for Vision-Language Models in Dentistry

Meng-Xun Li, Wen-Hui Deng, Zhi-Xing Wu, Chun-Xiao Jin, Jia-Min Wu, Yue Han, James Kit Hon Tsoi, Gui-Song Xia, Cui Huang ยท 2026

Vision-Language Models (VLMs) have demonstrated significant potential in medical image analysis, yet their application in intraoral photography remains largely underexplored due to the lack of fine-grโ€ฆ

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Computer Science Preprint PDF DOI

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels

Yifan Zhao, Yuchen Yang, Matei Budiu, Sasa Misailovic ยท 2026

We present Nautilus, a novel tensor compiler that moves toward fully automated math-to-kernel optimization. Nautilus compiles a high-level algebraic specification of tensor operators into efficient tiโ€ฆ

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AI & Data Science Preprint PDF DOI

OmniGCD: Abstracting Generalized Category Discovery for Modality Agnosticism

Jordan Shipard, Arnold Wiliem, Kien Nguyen Thanh, Wei Xiang, Clinton Fookes ยท 2026

Generalized Category Discovery (GCD) challenges methods to identify known and novel classes using partially labeled data, mirroring human category learning. Unlike prior GCD methods, which operate witโ€ฆ

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Physics Preprint PDF DOI

Spectroscopic measurement of the Casimir-Polder force in the intermediate regime

K. Ton, G. Kestler, D. A. Steck, J. T. Barreiro ยท 2026

The Casimir-Polder (CP) effect -- the force between a neutral atom and an uncharged conducting plate in empty space -- is an intriguing consequence of quantum vacuum fluctuations. The typically attracโ€ฆ

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AI & Data Science Preprint PDF DOI

Development of an LLM-Based System for Automatic Code Generation from HEP Publications

Masahiko Saito, Tomoe Kishimoto, Junichi Tanaka ยท 2026

Ensuring the reproducibility of physics results is one of the crucial challenges in high-energy physics (HEP). In this study, we develop a proof-of-concept system that uses large language models (LLMsโ€ฆ

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AI & Data Science Preprint PDF DOI

DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts

Bo Qian, Dahu Shi, Xing Wei ยท 2026

Visual prompted object detection enables interactive and flexible definition of target categories, thereby facilitating open-vocabulary detection. Since visual prompts are derived directly from image โ€ฆ

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Computer Science Preprint PDF DOI

Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks

Seyedreza Mohseni, Sarvesh Baskar, Edward Raff, Manas Gaur ยท 2026

Code deobfuscation is the task of recovering a readable version of a program while preserving its original behavior. In practice, this often requires days or even months of manual work with complex anโ€ฆ

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