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Physics Preprint PDF DOI

GLoop: A Monte Carlo program to construct higher-loop integrals from lower-loop structures

Roberto Pittau ยท 2026

We present GLoop, a Fortran90 computational framework that allows one to compute by Monte Carlo a certain class of higher-loop integrals in terms of lower-loop building blocks. This is based on a receโ€ฆ

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Physics Preprint PDF DOI

Fault-Tolerant Resource Comparison of Qudit and Qubit Encodings for Diagonal Quadratic Operators

Samuel Godwood, Doga Murat Kurkcuoglu, Gabriel N. Perdue, Marina Maneyro, Alessandro Roggero ยท 2026

Finite local Hilbert-space truncations arise naturally in quantum simulations of lattice field theories and motivate qudit encodings, but their fault-tolerant advantage over qubit encodings remains unโ€ฆ

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Computer Science Preprint PDF DOI

A Semantic Quantum Circuit Cache for Scalable and Distributed Quantum-Classical Workflows

Mar Tejedor, Javier Conejero, Rosa M. Badia ยท 2026

Hybrid quantum--classical workflows often execute large ensembles of circuits that differ syntactically but implement identical operations, leading to substantial redundant computation. To address thiโ€ฆ

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Mathematics Preprint PDF DOI

Deep Policy Iteration for High-Dimensional Mean-Field Games with Regenerative Reformulation

Shuixin Fang, Shupeng Wang, Zhen Wu, Hui Zhang, Tao Zhou ยท 2026

This paper develops a deep policy iteration method for high-dimensional finite-horizon mean-field games. We reformulate the game as a regenerative problem with deterministic cycles, which allows policโ€ฆ

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AI & Data Science Preprint PDF DOI

Virtual-reality based patient-specific simulation of spine surgical procedures: A fast, highly automated and high-fidelity system for surgical education and planning

Raj Kumar Ranabhat, Tayler D Ross, Tony Jiao, Jeremie Larouche, Joel Finkelstein, Michael Hardisty ยท 2026

Surgical training involves didactic teaching, mentor-led learning, surgical skills laboratories, and direct exposure to surgery; however, increasing clinical pressures have limited operating room (OR)โ€ฆ

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Computer Science Preprint PDF DOI

Input Distribution Design for Ranging-Oriented OFDM-ISAC Systems Under Frequency-Selective Fading

Weijiang Zhao, Yifeng Xiong ยท 2026

The implementation of the \ac{isac} feature in \ac{6g} networks is most likely to be based on the framework of \ac{ofdm}. Input distribution design, or constellation design, is a crucial technique in โ€ฆ

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Computer Science Preprint PDF DOI

LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference

Katelyn Crumpacker, Dimitrios Nikolopoulos ยท 2026

Large Language Models (LLMs) have become an integral part of many real-world workflows. However, LLMs consume a lot of energy, which becomes a large concern in the scale of the demand for these tools.โ€ฆ

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Physics Preprint PDF DOI

Conditional diffusion denoising probabilistic model for super-resolution of atmospheric boundary layer large eddy simulation

Omar Sallam, Mirjam Furth ยท 2026

Climate change necessitates rapid expansion of renewable energy, with wind energy offering a scalable and low-impact solution. However, accurate prediction of wind loads and power generation remains cโ€ฆ

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AI & Data Science Preprint PDF DOI

MemOVCD: Training-Free Open-Vocabulary Change Detection via Cross-Temporal Memory Reasoning and Global-Local Adaptive Rectification

Zuzheng Kuang, Honghao Chang, Boqiang Liang, Haoqian Wang, Lijun He, Fan Li, Haixia Bi ยท 2026

Open-vocabulary change detection aims to identify semantic changes in bi-temporal remote sensing images without predefined categories. Recent methods combine foundation models such as SAM, DINO and CLโ€ฆ

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AI & Data Science Preprint PDF DOI

TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection

Ahmed Abdullah, Nikolas Ebert, Oliver Wasenmuller ยท 2026

Recent methods demonstrate that large-scale pretrained models, such as CLIP vision transformers, effectively detect AI-generated images (AIGIs) from unseen generative models when used as feature extraโ€ฆ

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Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse ยท 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic labelโ€ฆ

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AI & Data Science Preprint PDF DOI

Minimum Covariance Determinant Estimator and Outlier Detection for Interval-valued Data

Catarina P. Loureiro, M. Rosario Oliveira, Paula Brito, Lina Oliveira ยท 2026

Interval-valued data are one of the most common symbolic data types, which enables the preservation of the underlying variability of the data. The interval mean and covariance matrix can be estimated โ€ฆ

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Physics Preprint PDF DOI

The link between coil non planarity and magnetic surface geometry in QI stellarators: a data driven study

Andrea Pavone, Felix Warmer ยท 2026

Stellarator fusion devices confine plasma by means of complex, non-planar electromagnetic coils. Understanding how the shape of the plasma boundary determines the required complexity of the coil set iโ€ฆ

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AI & Data Science Preprint PDF DOI

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework

Zhangzhi Xiong, Haoyi Wu, You Wu, Shuqi Gu, Kan Ren, Kewei Tu ยท 2026

The Probabilistic Transformer (PT) establishes that the Transformer's self-attention plus its feed-forward block is mathematically equivalent to Mean-Field Variational Inference (MFVI) on a Conditionaโ€ฆ

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Economics & Finance Preprint PDF DOI

Measuring Choice Difficulty

Chris Chambers, Yusufcan Masatolioglu, Paulo Natenzon, Collin Raymond ยท 2026

We provide a theoretical framework to understand how widely used measures of choice difficulty relate. In a binary-option Bayesian expected-utility framework, we show that three measures of difficultyโ€ฆ

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Computer Science Preprint PDF DOI

Factorized Latent Reasoning for LLM-based Recommendation

Tianqi Gao, Chengkai Huang, Zihan Wang, Cao Liu, Ke Zeng, Lina Yao ยท 2026

Large language models (LLMs) have recently been adopted for recommendation by framing user preference modeling as a language generation problem. However, existing latent reasoning approaches typicallyโ€ฆ

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Computer Science Preprint PDF DOI

Locality for Codes over the Integers

Giulia Cavicchioni, Eleonora Guerrini, Julien Lavauzelle ยท 2026

In this work, we study the codes over the integers with locality constraints. We introduce a weighted notion of locality over $\mathbb{Z}/q_1\mathbb{Z} \times \cdots \times \mathbb{Z}/q_n\mathbb{Z}$ aโ€ฆ

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Computer Science Preprint PDF DOI

Runtime Verification: Monitoring, Knowledge, and Uncertainty (Lecture Notes)

Benedikt Bollig ยท 2026

Runtime verification is a lightweight verification technique that complements model checking by analyzing system executions at runtime rather than exploring a complete system model in advance. It is pโ€ฆ

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AI & Data Science Preprint PDF DOI

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

GLM-V Team: Wenyi Hong, Xiaotao Gu, Ziyang Pan, Zhen Yang, Yuting Wang, Yue Wang, Yuanchang Yue, Yu Wang, Yanling Wang, Yan Wang, Xijun Liu, Wenmeng Yu, Weihan Wang, Wei Li, Shuaiqi Duan, Sheng Yang, Ruiliang Lv, Mingdao Liu, Lihang Pan, Ke Ning, Junhui Ji, Jinjiang Wang, Jing Chen, Jiazheng Xu, Jiale Zhu, Jiale Cheng, Ji Qi, Guobing Gan, Guo Wang, Cong Yao, Zijun Dou, Zihao Zhou, Zihan Wang, Zhiqi Ge, Zhijie Li, Zhenyu Hou, Zhao Xue, Zehui Wang, Zehai He, Yusen Liu, Yukuo Cen, Yuchen Li, Yuan Wang, Yijian Lu, Yanzi Wang, Yadong Xue, Xinyu Zhang, Xinyu Liu, Wenkai Li, Tianyu Tong, Tianshu Zhang, Shengdong Yan, Qinkai Zheng, Mingde Xu, Licheng Bao, Jiaxing Xu, Jiaxin Fan, Jiawen Qian, Jiali Chen, Jiahui Lin, Haozhi Zheng, Haoran Wang, Haochen Li, Fan Yang, Dan Zhang, Chuangxin Zhao, Chengcheng Wu, Boyan Shi, Bowei Jia, Baoxu Wang, Peng Zhang, Debing Liu, Bin Xu, Juanzi Li, Minlie Huang, Yuxiao Dong, Jie Tang ยท 2026

We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on languโ€ฆ

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Computer Science Preprint PDF DOI

The Nesting Bird Box Problem is ER-complete: Sharp Hardness Results for the Hidden Set Problem

Lucas Meijer, Till Miltzow, Johanna Ockenfels, Milos Stojakovic ยท 2026

In the (Nesting) Bird Box Problem we are given a polygonal domain P and a number k and we want to know if there is a set B of k points inside P such that no two points in B can see each other. The undโ€ฆ

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