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Computer Science Preprint PDF DOI

AgenticFlict: A Large-Scale Dataset of Merge Conflicts in AI Coding Agent Pull Requests on GitHub

Daniel Ogenrwot, John Businge ยท 2026

Software Engineering 3.0 marks a paradigm shift in software development, in which AI coding agents are no longer just assistive tools but active contributors. While prior empirical studies have examinโ€ฆ

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AI & Data Science Preprint PDF DOI

Nonparametric Regression Discontinuity Designs with Survival Outcomes

Maximilian Schuessler, Erik Sverdrup, Robert Tibshirani, Stefan Wager ยท 2026

Quasi-experimental evaluations are central for generating real-world causal evidence and complementing insights from randomized trials. The regression discontinuity design (RDD) is a quasi-experimentaโ€ฆ

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Computer Science Preprint PDF DOI

A Vision for Context-Aware CI Adoption Decisions

Osamah H. Alaini, Taher A. Ghaleb ยท 2026

Continuous Integration (CI) is widely adopted in modern software development, yet adoption decisions are often made without systematic consideration of project context. Platforms such as GitHub Actionโ€ฆ

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Chemistry Preprint PDF DOI

FermiLink: A Unified Agent Framework for Multidomain Autonomous Scientific Simulations

Gang Meng, Andres Felipe Bocanegra Vargas, Xinwei Ji, Federico Garcia-Gaitan, Felipe Reyes-Osorio, Jalil Varela-Manjarres, Yafei Ren, Mohammadhasan Dinpajooh, Branislav K. Nikolic, Tao E. Li ยท 2026

Artificial-intelligence (AI) agent frameworks have been developed for autonomous scientific simulations, but most current agent frameworks are tailored to a single or a small set of software packages.โ€ฆ

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AI & Data Science Preprint PDF DOI

ExpressEdit: Fast Editing of Stylized Facial Expressions with Diffusion Models in Photoshop

Kenan Tang, Jiasheng Guo, Jeffrey Lin, Yao Qin ยท 2026

Facial expressions of characters are a vital component of visual storytelling. While current AI image editing models hold promise for assisting artists in the task of stylized expression editing, thesโ€ฆ

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Computer Science Preprint PDF DOI

Measuring LLM Trust Allocation Across Conflicting Software Artifacts

Noshin Ulfat, Ahsanul Ameen Sabit, Soneya Binta Hossain ยท 2026

LLM-based software engineering assistants fail not only by producing incorrect outputs, but also by allocating trust to the wrong artifact when code, documentation, and tests disagree. Existing evaluaโ€ฆ

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Computer Science Preprint PDF DOI

Agile Story-Point Estimation: Is RAG a Better Way to Go?

Lamyea Maha, Tajmilur Rahman, Chanchal Roy ยท 2026

The sprint-based iterative approach in the Agile software development method allows continuous feedback and adaptation. One of the crucial Agile software development activities is the sprint planning โ€ฆ

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Engineering Preprint PDF DOI

ARES OS 2.0: An Orchestration Software Suite for Autonomous Experimentation Systems and Self-Driving Labs

Arthur W. N. Sloan, Robert W. Waelder, Morgen L. Smith, Nicholas Kleiner, Arnas Babeckis, Jason Wheeler, Daylond Hooper, Benji Maruyama ยท 2026

ARES OS 2.0 (hereinafter ARES OS) is an open-source software suite to enable laboratory automation and closed-loop autonomous experimentation. Its function is to orchestrate experimental actions and dโ€ฆ

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AI & Data Science Preprint PDF DOI

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap

Brian Pachideh, Sven Nitzsche, Moritz Neher, Jann Krausse, Carmen Weigelt, Klaus Knobloch, Victor Pazmino Betancourt, Juergen Becker ยท 2026

Spiking Neural Networks (SNNs) promise significant advantages over conventional Artificial Neural Networks (ANNs) for applications requiring real-time processing of temporally sparse data streams undeโ€ฆ

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Physics Preprint PDF DOI

GOPREAUX I: Open-source Code and Data to Model Multi-wavelength Emission of Extragalactic Transients using Gaussian Processes

C. Pellegrino, T. A. Pritchard, M. Modjaz, A. Crawford, S. Khakpash, F. Bianco ยท 2026

Contemporary all-sky surveys have observed thousands of extragalactic transients in the nearby universe, and upcoming surveys will discover exponentially more at higher redshifts. With these large samโ€ฆ

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Computer Science Preprint PDF DOI

ABTest: Behavior-Driven Testing for AI Coding Agents

Wuyang Dai, Moses Openja, Hung Viet Pham, Gias Uddin, Jinqiu Yang, Song Wang ยท 2026

AI coding agents are increasingly integrated into real-world software development workflows, yet their robustness under diverse and adversarial scenarios remains poorly understood. We present ABTest, โ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Multidecadal Cycles Study in the Climate Indexes Series Using Wavelet Analysis in North/Northeast Brazil

Cleber Souza Correa, Roberto Lage Guedes, Karlmer Abel Bueno Correa, Felipe Gustavo Pilau ยท 2026

This study investigates the climatic index time series over the most recent 80 years, using monthly mean values from the Pacific Decadal Oscillation Index (PDO), Southern Oscillation Index (SOI), and โ€ฆ

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Mathematics Preprint PDF DOI

Optimal Experimental Design using Eigenvalue-Based Criteria with Pyomo.DoE

Daniel J. Laky, Shammah Lilonfe, Shawn B. Martin, Katherine A. Klise, Bethany L. Nicholson, John D. Siirola, Alexander W. Dowling ยท 2026

Digital twins require high-quality data to achieve predictive capability, but time and resource limitations make efficient experiment design essential. Model-based design of experiments can address thโ€ฆ

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Computer Science Preprint PDF DOI

InCoder-32B-Thinking: Industrial Code World Model for Thinking

Jian Yang, Wei Zhang, Jiajun Wu, Junhang Cheng, Tuney Zheng, Fanglin Xu, Weicheng Gu, Lin Jing, Yaxin Du, Joseph Li, Yizhi Li, Yan Xing, Chuan Hao, Ran Tao, Ruihao Gong, Aishan Liu, Zhoujun Li, Mingjie Tang, Chenghua Lin, Siheng Chen, Wayne Xin Zhao, Xianglong Liu, Ming Zhou, Bryan Dai, Weifeng Lv ยท 2026

Industrial software development across chip design, GPU optimization, and embedded systems lacks expert reasoning traces showing how engineers reason about hardware constraints and timing semantics. Iโ€ฆ

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Computer Science Preprint PDF DOI

AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study

Ema Smolic, Mario Brcic, Luka Hobor, Mihael Kovac ยท 2026

Many software systems originate as prototypes or minimum viable products (MVPs), developed with an emphasis on delivery speed and responsiveness to changing requirements rather than long-term code maiโ€ฆ

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AI & Data Science Preprint PDF DOI

Automatic Textbook Formalization

Fabian Gloeckle, Ahmad Rammal, Charles Arnal, Remi Munos, Vivien Cabannes, Gabriel Synnaeve, Amaury Hayat ยท 2026

We present a case study where an automatic AI system formalizes a textbook with more than 500 pages of graduate-level algebraic combinatorics to Lean. The resulting formalization represents a new mileโ€ฆ

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Computer Science Preprint PDF DOI

Proceedings of the 7th Workshop on Models for Formal Analysis of Real Systems

Maurice H. ter Beek (CNR-ISTI, Pisa, Italy), Gregor Gossler (INRIA, Univ. Grenoble Alpes, Grenoble, France) ยท 2026

These proceedings contain the papers that were presented at the 7th Workshop on Models for Formal Analysis of Real Systems (MARS 2026), which took place on 12 April 2026 in Turin, Italy, as a satellitโ€ฆ

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Computer Science Preprint PDF DOI

Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition

Denis Neumuller, Sebastian Boll, David Schuler, Matthias Tichy ยท 2026

Context: Since it is well-established that developers spend a substantial portion of their time understanding source code, the ability to automatically identify algorithms within source code presents โ€ฆ

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Computer Science Preprint PDF DOI

Beyond Isolated Tasks: A Framework for Evaluating Coding Agents on Sequential Software Evolution

KN Ajay Shastry, Ganesh Senrayan, Shrey Satapara, Pranoy Panda, Chaitanya Devaguptapu ยท 2026

Existing datasets for coding agents evaluate performance on isolated, single pull request (PR) tasks in a stateless manner, failing to capture the reality of real-world software development where codeโ€ฆ

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AI & Data Science Preprint PDF DOI

Why is Regularization Underused? An Empirical Study on Trust and Adoption of Statistical Methods

Konstantin Emil Thiel, Marlene Baumeister, Nicole Kramer, Andreas Groll, Markus Pauly, Magdalena Wischnewski ยท 2026

Statistical practice does not automatically follow methodological innovation. Regularization methods, widely advocated to reduce overfitting and stabilize inference, are readily available in modern soโ€ฆ

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