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Computer Science Preprint PDF DOI

Optimizing Information Freshness for Wireless Local Area Networks with Multiple APs

Ananth Ram Rajagopalan, Jiahui Ni, Vishrant Tripathi · 2026

Dense indoor WLANs increasingly rely on multiple access points (APs) operating over partially overlapping spectrum to support latency-sensitive applications. In such deployments, simultaneous transmis…

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Computer Science Preprint PDF DOI

Automated Classification of Human Code Review Comments with Large Language Models

Semih Caglar, Sukru Eren Gok{i}rmak, Eray Tuzun · 2026

Context: Code reviews are essential for maintaining software quality, yet many human review comments suffer from issues such as redundancy, vagueness, or lack of constructiveness. These types of comme…

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Computer Science Preprint PDF DOI

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation

Chen Yang, Junjie Chen · 2026

Business logic bugs violate intended business semantics and are particularly prevalent in enterprise software. Yet most existing unit test generation techniques are code-centric, making such bugs diff…

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Physics Preprint PDF DOI

FACET2-S2E: Start-to-end simulations of the FACET-II beamline

Nathan Majernik, Frederick Cropp, Claudio Emma, Thamine Dalichaouch · 2026

FACET2-S2E is a Python package for start-to-end simulations of the Facility for Advanced Accelerator Experimental Tests-II (FACET-II), a US Department of Energy National User Facility. A kilometer-lon…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Locally Deployed LLMs for Bug Detection in Python Code

Jelena Ilic Vulicevic · 2026

Large language models (LLMs) have demonstrated strong performance on a wide range of software engineering tasks, including code generation and analysis. However, most prior work relies on cloud-based …

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Computer Science Preprint PDF DOI

Towards Agentic Test-Driven Quality Assurance for 6G Networks

Christos Tranoris, Besiana Agko, Kostis Trantzas, Irene Denazi · 2026

This work proposes an agentic, intent-driven end-to-end (E2E) orchestration framework that integrates intent co-creation with a Test-Driven Quality Assurance paradigm. In this framework, autonomous ag…

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Computer Science Preprint PDF DOI

Knowledge Lever Risk Management for Software Engineering: A Stochastic Framework for Mitigating Knowledge Loss

Mark Chua, Samuel Ajila · 2026

Software engineering (SE) organizations operate in a knowledge-intensive domain where critical assets -- architectural expertise, design rationale, and system intuition -- are overwhelmingly tacit and…

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Computer Science Preprint PDF DOI

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles Lopez-Pernas, Mohammed Saqr · 2026

Code review is central to software engineering education but hard to scale in capstone projects due to tight deadlines, uneven peer feedback, and limited prior experience. We investigate an LLM-as-rev…

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AI & Data Science Preprint PDF DOI

A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training

Maryam Mirsadeghi, Mojtaba Mirbagheri, Saeed Reza Kheradpisheh · 2026

Spiking Neural Networks (SNNs) offer a biologically inspired foundation for low-power, event-driven intelligence, yet their direct on-chip supervised training remains a key hardware challenge. This pa…

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Computer Science Preprint PDF DOI

Tessera: Secure, Near-Line-Rate Weight Streaming for UMA Edge Accelerators

Animan Naskar · 2026

Deploying proprietary Deep Neural Networks (DNNs) on commodity edge devices demands hardware-backed Digital Rights Management (DRM) capable of withstanding both software-level and physical adversaries…

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Computer Science Preprint PDF DOI

RAT: RunAnyThing via Fully Automated Environment Configuration

Renhong Huang, Dongdong Hua, Yifei Sun, Sitao Ding, Hanyang Yuan, Daixin Wang, Yang Yang · 2026

Automating repository-level software engineering tasks is a foundational challenge for autonomous code agents, largely due to the difficulty of configuring executable environments. However, manual con…

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Computer Science Preprint PDF DOI

Core Logic and Algorithmic Performance Enhancements for a System Vulnerability Analysis Technique for Complex Mission Critical Systems Implementation

Matthew Tassava, Cameron Kolodjski, Jordan Milbrath, Jeremy Straub · 2026

Core logic and processing improvements were made to the software for operations and network attack results review (SONARR) and are presented, herein. Previous SONARR versions' Boolean-only logic, deri…

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Computer Science Preprint PDF DOI

RANalyzer: Automated Continuous RAN Software Evaluation and Regression Analysis

Ravis Shirkhani, Reshma Prasad, Leonardo Bonati, Tommaso Melodia, Michele Polese · 2026

Software-driven O-RAN architectures enable rapid innovation through frequent, independent updates to virtualized components. However, attributing performance variations to specific software changes is…

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Computer Science Preprint PDF DOI

ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation

Haowei Cheng, Milhan Kim, Chong Liu, Teeradaj Racharak, Truong Vinh Truong Duy, Phan Thi Huyen Thanh, Jialong Li, Naoyasu Ubayashi, Hironori Washizaki · 2026

As software systems grow in complexity, they must satisfy an increasing number of competing quality attributes, making it essential to balance them in a principled manner -- for example, a safety requ…

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AI & Data Science Preprint PDF DOI

Usable Agent Discovery for Decentralized AI Systems

Patrizio Dazzi, Emanuele Carlini, Matteo Mordacchini, Saul Urso · 2026

Large-scale agentic systems run on distributed infrastructures where many software agents share physical hosts and are discovered via peer-to-peer mechanisms. Discovery must handle node-level churn fr…

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Computer Science Preprint PDF DOI

The Impact of Documentation on Test Engagement in Pull Requests in OSS

Teal Amore, Nathan Berman, Siyuan Jiang · 2026

Automated testing is crucial for maintaining open-source software quality. However, motivating contributors to include tests for code changes remains a challenge. While existing interventions, such as…

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Medicine & Health Preprint PDF DOI

Benchmarking Open-Source FDK Against Commercial and Iterative Reconstruction Methods for Preclinical Micro-CBCT

Falk L Wiegmann, Nancy L Ford · 2026

Preclinical micro-CT reconstruction involves large projection sizes and volumes that make iterative methods costly - 5x to 50x slower than analytic alternatives on modern GPUs. Whether this cost is ju…

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AI & Data Science Preprint PDF DOI

PExA: Parallel Exploration Agent for Complex Text-to-SQL

Tanmay Parekh, Ella Hofmann-Coyle, Shuyi Wang, Sachith Sri Ram Kothur, Srivas Prasad, Yunmo Chen · 2026

LLM-based agents for text-to-SQL often struggle with latency-performance trade-off, where performance improvements come at the cost of latency or vice versa. We reformulate text-to-SQL generation with…

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AI & Data Science Preprint PDF DOI

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia · 2026

As AI systems move from generating text to accomplishing goals through sustained interaction, the ability to model environment dynamics becomes a central bottleneck. Agents that manipulate objects, na…

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Physics Preprint PDF DOI

Thermodynamic Modeling of Pure Elements from 0 K with Uncertainty Quantification using PyCalphad and ESPEI

Alexander Richter, Abdulmonem Obaied, Irina Roslyakova, Boris Wilthan, Allison Beese, Zi-Kui Liu · 2026

Thermodynamic modeling of pure elements is the foundation of the CALPHAD modeling of engineering materials. Recently, multiple physics-based models have been proposed to describe Gibbs energy of pure …

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