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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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Computer Science Preprint PDF DOI

CuLifter: Lifting GPU Binaries to Typed IR

Jisheng Zhao, Huanzhi Pu, Shinnung Jeong, Chihyo Ahn, Hyesoon Kim · 2026

GPU compilers merge all data types into a single unified register file, erasing the type information that binary-analysis tools rely on. We show that type recovery from this untyped register file is t…

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Mathematics Preprint PDF DOI

Berge $k$-Factors of Regular Hypergraphs

Mikio Kano, Shun-ichi Maezawa, Akira Saito, Kiyoshi Yoshimoto · 2026

A Berge $k$-factor in a hypergraph is a generalization of a $k$-factor in a graph. In this paper, we study the problem of determining the values $k$ such that every $\lambda$-edge-connected $r$-regula…

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AI & Data Science Preprint PDF DOI

Exploring Applications of Transfer-State Large Language Models: Cognitive Profiling and Socratic AI Tutoring

Minori Noguchi · 2026

Large language models (LLMs) sometimes exhibit qualitative shifts in response style under sustained self-referential dialogue conditions (Berg et al., 2025). This study refers to this phenomenon as "t…

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Physics Preprint PDF DOI

Eccentricity as a signature of hierarchical subsolar-mass mergers in collapsar disks

Jiaxi Wu, Elias R. Most, Nils L. Vu, Nils Deppe, Lawrence E. Kidder, Kyle C. Nelli, William Throwe · 2026

In this work, we investigate gravitational-wave signatures of a proposed subsolar-mass merger scenario resulting from fragmentation inside a collapsar accretion disk. This scenario has gained recent i…

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Physics Preprint PDF DOI

Permutation Invariant Optimization Problems in Quantum Information Theory: A Framework for Channel Fidelity and Beyond

Bjarne Bergh, Marco Parentin · 2026

Exploiting permutation invariance to reduce the exponential scaling of semidefinite programs in quantum information has emerged as a powerful computational technique. In this work, we develop a system…

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AI & Data Science Preprint PDF DOI

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Changhyun Roh, Yonghyun Jeong, Jonghyun Lee, Chanho Eom, Jihyong Oh · 2026

Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where prompts often requir…

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Computer Science Preprint PDF DOI

Small Independent Sets versus Small Separator in Geometric Intersection Graphs

Malory Marin, Remi Watrigant · 2026

While most classical NP-hard graph problems cannot be solved in time $2^{o(n)}$ on general graphs under the Exponential Time Hypothesis (ETH), many exhibit the square-root phenomenon and admit optimal…

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Physics Preprint PDF DOI

Topological transitions in spin-ice induced by geometrical constraints

R. A. Borzi, E. S. Loscar, S. A. Grigera · 2026

We study the nearest-neighbor spin-ice model subjected to a magnetic field applied along the global [111] and [110] directions, focusing on the role of sample geometry in stabilizing topological phase…

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Computer Science Preprint PDF DOI

Emotive Architectures: The Role of LLMs in Adjusting Work Environments

Lara Vartziotis, Tina Vartziotis, Frank Beutenmueller, Stella Salta, Konstantinos Moraitis, Miltiadis Katsaros, Sotirios Kotsopoulos · 2026

In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This study examines thre…

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Physics Preprint PDF DOI

Defect-Adaptive Lattice Surgery on Irregular Boundary Surface-Code Patches

GunSik Min, Yujin Kang, Jun Heo · 2026

Defect-adaptive surface-code methods have substantially advanced the construction of valid logical patches on imperfect hardware, but fault-tolerant computation also requires executable logical oper a…

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Mathematics Preprint PDF DOI

Convergence analysis of a full discretization of operator-valued differential Riccati equations

Eskil Hansen, Tony Stillfjord, Teodor {AA}berg · 2026

In recent previous work [E. Hansen, T. Stillfjord and T. \r{A}berg, SIAM J. Numer. Anal., to appear], we analyzed the convergence of operator splitting methods applied to operator-valued differential …

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Physics Preprint PDF DOI

Approximate Sparse State Preparation with the Grover-Rudolph Algorithm

Debora Ramacciotti, Martin Steinbach, Bence Temesi, Andreea-Iulia Lefterovici, Antonio F. Rotundo · 2026

Sparse quantum state preparation is a common subroutine in quantum algorithms, where classical data with few nonzero entries must be loaded into a quantum state. In this work, we consider the Grover-R…

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Computer Science Preprint PDF DOI

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le · 2026

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@k$, pass$^k$, and th…

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Computer Science Preprint PDF DOI

RowHammer Vulnerability Counter (RVC): Redefining RowHammer Detection with Victim-Centric Tracking

Lavi Jain, Venkata Kalyan Tavva · 2026

The Rowhammer vulnerability poses an increasing challenge with newer generations of DRAM and aggressive technology scaling. Existing mitigation techniques, such as Graphene, Twice, and Hydra, primaril…

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Physics Preprint PDF DOI

Clash of the Trident and Tuning Fork: insights from bar and spiral strength in the (massive black hole)-stellar mass diagrams, and the `Triangal' galaxy evolution schema

Alister W. Graham · 2026

The `Triangal' galaxy evolution schema is used to assess whether the Tuning Fork (bar strength) or the van~den~Bergh Trident and ATLAS$^{3D}$ Comb (spiral strength) offer greater evolutionary insight.…

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AI & Data Science Preprint PDF DOI

Turtle shell clustering: A mixture approach to discriminative clustering with applications to flow cytometry and other data

Mackenzie R. Neal, Paul D. McNicholas, Arthur White · 2026

Generative approaches to clustering provide information on geometric properties of clusters, whereas discriminative approaches provide boundaries between clusters. Ideas from both approaches are incor…

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Computer Science Preprint PDF DOI

Aligning Dense Retrievers with LLM Utility via DistillationAligning Dense Retrievers with LLM Utility via Distillation

Rajinder Sandhu, Di Mu, Cheng Chang, Md Shahriar Tasjid, Himanshu Rai, Maksims Volkovs, Ga Wu · 2026

Dense vector retrieval is the practical backbone of Retrieval- Augmented Generation (RAG), but similarity search can suffer from precision limitations. Conversely, utility-based approaches leveraging …

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Computer Science Preprint PDF DOI

FlashSpread: IO-Aware GPU Simulation of Non-Markovian Epidemic Dynamics via Kernel Fusion

Heman Shakeri, Behnaz Moradi-Jamei, Aram Vajdi, Ehsan Ardjmand · 2026

Non-Markovian (renewal) epidemic simulation on multi-million-node contact networks is essential for realistic forecasting under general age-dependent holding-time distributions (log-normal, Weibull, E…

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AI & Data Science Preprint PDF DOI

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers

Ayushi Mehrotra, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi · 2026

Feature attribution methods explain the predictions of deep neural networks by assigning importance scores to individual input features. However, most existing methods focus solely on marginal effects…

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