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Computer Science Preprint PDF DOI

AnTi-MiCS: Analytical Framework for Bounding Time in Embedded Mixed-Criticality Systems

Behnaz Ranjbar, Akash Kumar · 2026

In Mixed-Criticality (MC) systems, although the high Worst-Case Execution Time (WCET) serves as a conservative upper bound representing the task's maximum execution time under all conditions, obtainin…

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Computer Science Preprint PDF DOI

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

Bowen Sun, Chaozhuo Li, Yaodong Yang, Yiwei Wang, Chaowei Xiao · 2026

Decompositional jailbreaks pose a critical threat to large language models (LLMs) by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collecti…

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Computer Science Preprint PDF DOI

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

Xubin Luo, Yang Cheng · 2026

AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads can sometimes be executed away from the…

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Computer Science Preprint PDF DOI

NetSatBench: A Distributed LEO Constellation Emulator with an SRv6 Case Study

Andrea Detti, Shahram Dadras, Giuseppe Tropea · 2026

NetSatBench is a distributed emulation platform for evaluating communication protocols and application workloads over large-scale LEO satellite systems. Satellites, gateways, and user terminals are im…

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Computer Science Preprint PDF DOI

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains

Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E · 2026

Although precise recall is a core objective in Retrieval-Augmented Generation (RAG), a critical oversight persists in the field: improvements in retrieval performance do not consistently translate to …

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AI & Data Science Preprint PDF DOI

Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems

Oier Ijurco, Oier Lopez de Lacalle · 2026

Task-based dialogue systems assist users in achieving specific goals, such as executing actions or retrieving information, through natural language interactions. Accurate coreference resolution is ess…

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AI & Data Science Preprint PDF DOI

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

Khalil Al-Rahman Youssefi, Marija Gojkovic, Walter Stefanutti, Mika Auer, Melanie Schranz · 2026

This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV) charging systems under configurable infrastructure and operational condition…

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Computer Science Preprint PDF DOI

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training

Wenxiang Lin, Xinglin Pan, Ruibo Fan, Shaohuai Shi, Xiaowen Chu · 2026

Communication has emerged as a critical bottleneck in the distributed training of large language models (LLMs). While numerous approaches have been proposed to reduce communication overhead, the poten…

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Mathematics Preprint PDF DOI

On the free Banach lattice generated by a lattice

Asma Ben Rjeb, Pedro Tradacete · 2026

We study structural properties of the free Banach lattice $FBL\langle L\rangle$ generated by a distributive lattice $L$. We characterize when $FBL\langle L\rangle$ has a strong unit, compute its densi…

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Physics Preprint PDF DOI

Some Properties and Uses of the Species Scale

Luis E. Ibanez · 2026

The 'Species Scale' has proved to be an important concept when studying consistent effective actions in Quantum Gravity. This is a short summary of my contribution to the Corfu Summer Institute in Sep…

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Computer Science Preprint PDF DOI

WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer · 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-rel…

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Physics Preprint PDF DOI

Entanglement of multi-qubit quantum graph states and studies structural properties of tripartite graphs with quantum programming

Kh. P. Gnatenko · 2026

We propose a method for constructing multi-qubit entangled quantum states representing weighted tripartite graphs. An expression for the entanglement distance for multi-qubit states corresponding to a…

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Physics Preprint PDF DOI

Mixing and spreading of gravity currents in heterogeneous porous media

Albert Jimenez-Ramos, Juan J. Hidalgo · 2026

We analyze the mixing, migration and spreading of a gravity current in a heterogeneous porous medium using high-fidelity numerical simulations. Heterogeneity is represented by log-normal permeability …

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Computer Science Preprint PDF DOI

Requirements Debt in AI-Enabled Perception Systems Development: An Industrial RE4AI Perspective

Hina Saeeda, Soniya Abraham · 2026

AI integration in automotive perception systems shifts requirements from static specifications to continuously evolving entities shaped by data, models, and operating contexts. When such changes are n…

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Computer Science Preprint PDF DOI

Maximally Diverse Stable Matchings: Optimizing Arbitrary Institutional Objectives

Gergely Csaji, Zhaohong Sun · 2026

Stable matching theory is the foundation of centralized clearinghouses worldwide, from school choice programs to medical residency allocations. However, incorporating complex distributional goals-such…

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Computer Science Preprint PDF DOI

MASCing: Configurable Mixture-of-Experts Behavior via Activation Steering Masks

Jona te Lintelo, Lichao Wu, Marina Krcek, Sengim Karayalcin, Stjepan Picek · 2026

Mixture-of-Experts (MoE) architectures in Large Language Models (LLMs) have significantly reduced inference costs through sparse activation. However, this sparse activation paradigm also introduces ne…

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Mathematics Preprint PDF DOI

A High Dimensional Wild Bootstrap Max-Test for Detecting the Presence of Significant Predictors

Jonathan B. Hill · 2026

We construct a block bootstrap max-test for detecting the presence of significant predictors in a high dimensional setting, allowing for weakly dependent and heterogeneous (possibly non-stationary) da…

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Computer Science Preprint PDF DOI

"It depends on where AI is used": Players' attitude patterns and evaluative logics toward different AI applications in digital games

Ting-Chen Hsu, Jiangxu Lin, Wenran Chen, Fei Qin, Zheyuan Zhang · 2026

As AI becomes increasingly embedded in digital games, players' attitudes de-pend not only on whether AI is used, but also on where and how it intervenes in gameplay. This study examines players' evalu…

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Computer Science Preprint PDF DOI

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini · 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limited…

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AI & Data Science Preprint PDF DOI

Focus Session: Autonomous Systems Dependability in the era of AI: Design Challenges in Safety, Security, Reliability and Certification

Behnaz Ranjbar, Kirankumar Raveendiran, Sudeep Pasricha, Samarjit Chakraborty, Cecilia Carbonelli, Akash Kumar · 2026

The design of embedded safety-critical systems such as those used in next-generation automotive and autonomous platforms, is increasingly challenged by escalating system complexity, hardware-software …

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