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Physics Preprint PDF DOI

Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

Pauliina Hirvi, Jaakko Olkkonen, Qianqian Fang, Ilkka Nissila · 2026

Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations a…

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Computer Science Preprint PDF DOI

A Longitudinal Analysis of Good First Issue Practices and Newcomer Pull Requests in Popular OSS Projects

Hirotatsu Hoshikawa, Hidetake Tanaka, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto · 2026

Open-source software (OSS) projects rely on effective newcomer onboarding to sustain their communities. OSS projects widely adopt "good first issue" (GFI) labels to highlight beginner-friendly tasks. …

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AI & Data Science Preprint PDF DOI

Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach

Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu, Jihong Park, Sung-Min Oh, Jinho Choi · 2026

Terrestrial network limitations drive the integration of non-terrestrial networks (NTNs), notably mega-constellations comprising thousands of low Earth orbit (LEO) satellites. While these satellites a…

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Medicine & Health Preprint PDF DOI

MAAS-SFRThelper: An Integrated ESAPI Plugin for Structure Generation, Optimization, and Evaluation of Spatially Fractionated Radiation Therapy

Japan K. Patel, Todd A. Wareing, Tenzin Kunkyab, Caleb Raman, Ilias Sachpazidis, Peter Szentivanyi, Ryan Clark, Gregory Gill, Pierre Lansonneur, Arjun Karnwal, Michael Kudla, Sergejs Unterkirhers, Junqi Song, Jun Yang, Anthony Magliari, Matthew C. Schmidt · 2026

Spatially fractionated radiation therapy (SFRT) planning requires three coordinated tasks: generation of high-dose sphere structures, position-aware optimization, and peak-valley dose ratio evaluation…

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Computer Science Preprint PDF DOI

VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling

Zi-Wei Lin, Tian-Sheuan Chang · 2026

Deploying Large Language Models (LLMs) on resource-constrained edge devices faces critical bottlenecks in memory bandwidth and power consumption. While ternary quantization (e.g., BitNet b1.58) signif…

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AI & Data Science Preprint PDF DOI

VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching

Yihong Guo, Youwei Lyu, Jiajun Tang, Yizhuo Zhou, Hongliang Wang, Jinwei Chen, Changqing Zou, Qingnan Fan · 2026

Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. However, existing approach…

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte · 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge va…

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Computer Science Preprint PDF DOI

Pragmos: A Process Agentic Modeling System

Pedro-Aaron Hernandez-Avalos, Luciano Garcia-Banuelos · 2026

The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to deriv…

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AI & Data Science Preprint PDF DOI

AutoREC: A software platform for developing reinforcement learning agents for equivalent circuit model generation from electrochemical impedance spectroscopy data

Ali Jaberi, Yonatan Kurniawan, Robert Black, Shayan Mousavi M., Kabir Verma, Zoya Sadighi, Santiago Miret, Jason Hattrick-Simpers · 2026

This paper introduces AutoREC, an open-source Python package for developing reinforcement learning (RL) agents to automatically generate equivalent circuit models (ECMs) from electrochemical impedance…

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Computer Science Preprint PDF DOI

Self-Evolving Software Agents

Marco Robol, Paolo Giorgini · 2026

Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals, and capabilities fixed at design time, preventing genuine software evolution. This paper …

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Computer Science Preprint PDF DOI

Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)

Chandra N. Sekharan, George K. Thiruvathukal · 2026

Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contribu…

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Computer Science Preprint PDF DOI

Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner · 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, ben…

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Physics Preprint PDF DOI

Six New Variable Stars Discovered from Ground-Based Photometry and Characterized with TESS Data

Maksym Yu. Pyatnytskyy · 2026

We report the discovery of six new variable stars identified through an exploratory analysis of several sky fields observed by the author using a small telescope and a CMOS camera. The search employed…

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Physics Preprint PDF DOI

Molecular Outflows in the Nucleus of the Nearby Compton-thick AGN NGC 3079

Ming-Yi Lin, Anne Medling, Richard Davies, Melanie Krips, Loreto Barcos-Munoz, Reinhard Genzel, Eduardo Gonzalez-Alfonso, Javier Gracia-Carpio, Dieter Lutz, Roberto Neri, Gilles Orban de Xivry, David Rosario, Allan Schnorr-Muller, Taro Shimizu, Amiel Sternberg, Eckhard Sturm, Linda Tacconi · 2026

We present Northern Extended Millimeter Array (NOEMA) observations of the CO (2-1) molecular gas kinematics in the nearby Compton-thick Seyfert 2 galaxy NGC 3079, with an angular resolution of 0.5" ($…

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AI & Data Science Preprint PDF DOI

Step-level Optimization for Efficient Computer-use Agents

Jinbiao Wei, Kangqi Ni, Yilun Zhao, Guo Gan, Arman Cohan · 2026

Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-s…

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Computer Science Preprint PDF DOI

CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun (Peter) Chen · 2026

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challeng…

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Mathematics Preprint PDF DOI

Nonsmooth Riemannian optimization with inexact manifold primitives via bundle methods

Mateo Diaz, Benjamin Grimmer, Ian McPherson · 2026

Optimization on Hadamard manifolds -- the natural Riemannian setting for globally geodesically convex problems -- relies on exponential maps to retract tangent vectors and parallel transport to connec…

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Computer Science Preprint PDF DOI

Where did we fail? -- Reproducing build failures in embedded open source software

Han Fu, Andreas Ermedahl, Sigrid Eldh, Kristian Wiklund, Philipp Haller, Cyrille Artho · 2026

Due to hardware-software co-development in embedded systems, continuous integration (CI) builds frequently fail because of complex cross-compilation, board configurations, and toolchain constraints. A…

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Chemistry Preprint PDF DOI

Experimentally Accurate Graph Neural Network Predictions of Core-Electron Binding Energies

Adam E. A. Fouda, Joshua Zhou, Rodrigo Ferreira, Patrick Phillips, Valay Agarawal, Bhavnesh Jangid, Jacob J. Wardzala, Rui Ding, Junhong Chen, Nicole Tebaldi, Phay J. Ho, Laura Gagliardi, Linda Young · 2026

Graph neural network architectures are advantageous for predicting core-electron binding energies which depend on local bond environment effects, as the number of message passing layers defines the to…

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Computer Science Preprint PDF DOI

Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight

Yuang Yan, Ian Karlin, Ryan Grant · 2026

For NVIDIA GPUs, CUDA is the primary interface through which applications orchestrate GPU execution, yet much of the logic that realizes CUDA operations resides in NVIDIA's closed-source userspace dri…

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