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Mathematics Preprint PDF DOI

Geometric densities and compression radii of knot types

Makoto Ozawa · 2026

We study scale-invariant geometric quantities associated with embedded closed curves in Euclidean three-space, with an emphasis on their behavior under optimization within a fixed knot type. Given a E…

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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

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

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Computer Science Preprint PDF DOI

Multi-Connectivity for UAVs: A Measurement Study of Integrating Cellular, Aerial Mesh, and LEO Satellite Links

Aygun Baltaci, Irshad A. Meer, Mustafa Ozger, Cicek Cavdar, Dominic Schupke · 2026

Future uncrewed aerial vehicle (UAV) systems increasingly combine heterogeneous communication technologies, such as low-latency aerial mesh, terrestrial cellular, and satellite links, to improve robus…

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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel · 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literat…

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Computer Science Preprint PDF DOI

BAss: Symbolic Reasoning in Abstract Dialectical Frameworks

Samuel Pastva, Van-Giang Trinh · 2026

We present BAss (BDD-based ADF symbolic solver), a novel analysis tool for Abstract Dialectical Frameworks (ADFs) based on Binary Decision Diagrams (BDDs). It supports the fully symbolic computation o…

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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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Computer Science Preprint PDF DOI

A note on the parameter $\ell$ in Buchbinder--Feldman's deterministic submodular matroid algorithm

Shisheng Li · 2026

Buchbinder and Feldman recently gave a deterministic $(1-1/e-\varepsilon)$-approximation for maximizing a non-negative monotone submodular function subject to a matroid constraint, with query complexi…

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Computer Science Preprint PDF DOI

Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents

Benjamin Probst, Andreas Happe, Jurgen Cito · 2026

Recent research has demonstrated the potential of Large Language Models (LLMs) for autonomous penetration testing, particularly when using cloud-based restricted-weight models. However, reliance on su…

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Mathematics Preprint PDF DOI

Hamilton decompositions of the directed 5-torus for odd modulus

SangHyun Park · 2026

We prove that the directed five-dimensional torus $D_5(m) = \operatorname{Cay}((\mathbb{Z}_m)^5, \{e_0, e_1, e_2, e_3, e_4\})$ has a Hamilton decomposition for every odd integer $m \geq 3$. This is th…

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Physics Preprint PDF DOI

SPYGLASS. VII-B. Tracing the Fragments of Massive Star Formation Using Low-Mass Associations

Ronan Kerr, Adam L. Kraus, Jonathan C. Tan, Julio Chaname, Facundo Perez Paolino, Joshua S. Speagle, Juan P. Farias, Jose G. Fernandez-Trincado, Keith Hawkins · 2026

New observations from the Gaia spacecraft have traced an emerging demographic of low-mass associations disconnected from larger associations or GMCs. The first of these associations were recently char…

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Physics Preprint PDF DOI

Strict Hierarchy for Quantum Channel Certification to Unitary

Kean Chen, Qisheng Wang, Zhicheng Zhang · 2026

We consider the problem of quantum channel certification to unitary, where one is given access to an unknown $d$-dimensional channel $\mathcal{E}$, and wants to test whether $\mathcal{E}$ is equal to …

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AI & Data Science Preprint PDF DOI

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

Attila Pinter, Javier Rico, Attila Repai, Jalal Al-Afandi, Adrienn Eva Borsy, Andras Kozma, Hajnalka Andrikovics, Gyorgy Cserey · 2026

We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints of a clinical cytogenetic laboratory. KAYRA is architected as a containerized microservice pipeline …

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Physics Preprint PDF DOI

A Rare Eddington-Limited, Heavily Obscured Low-Mass Active Galactic Nucleus Likely Triggered by a Galaxy Merger

Shouyi Wang, Fan Zou, Chang-Hao Chen, W. N. Brandt, Elena Gallo, Bin Luo, Xue-Bing Wu, Yuming Fu, Dieu D. Nguyen, Shengxiu Sun · 2026

We report a detailed analysis of GAMA 376183, a powerful, heavily obscured active galactic nucleus (AGN) hosted by a low-mass galaxy ($M_\star \approx 10^{10}~M_{\odot}$) likely experiencing a galaxy …

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Engineering Preprint PDF DOI

LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models

Seongmin Kim, Daegyu Lee · 2026

Deploying a neuro-symbolic task planner on a new domain today requires significant manual effort: a domain expert must author relaxation and complementary rules, and hundreds of training problems must…

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Computer Science Preprint PDF DOI

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation

Zhijun Li, Minghui Xu, Huayi Qi, Wenxuan Yu, Tingchuang Zhang, Qiao Zhang, GuangYong Shang, Zhen Ma, Xiuzhen Cheng · 2026

Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud environments exposes sensitive data to privacy risks. Ex…

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AI & Data Science Preprint PDF DOI

Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding

Chang Liu, Henghui Ding, Nikhila Ravi, Yunchao Wei, Shuting He, Song Bai, Philip Torr, Leilei Cao, Jinrong Zhang, Deshui Miao, Xusheng He, Dengxian Gong, Zhiyu Wang, Mingqi Gao, Jihwan Hong, Canyang Wu, Weili Guan, Jianlong Wu, Liqiang Nie, Xingsen Huang, Yameng Gu, Xiaogang Yu, Xin Li, Ming-Hsuan Yang, Sijie Li, Jungong Han, Quanzhu Niu, Shihao Chen, Yuanzheng Wu, Yikang Zhou, Tao Zhang, Haobo Yuan, Lu Qi, Shunping Ji, Chao Yang, Chao Tian, Guoqing Zhu, Kai Yang, Zhifan Mo, Haijun Zhang, Xudong Kang, Shutao Li, Jaeyoung Do · 2026

This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, which evaluates state-o…

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Computer Science Preprint PDF DOI

Prime-Field PINI: Machine-Checked Composition Theorems for Post-Quantum NTT Masking

Ray Iskander, Khaled Kirah · 2026

This is Paper 6 of a series of formally-verified analyses of masked NTT hardware for post-quantum cryptography; Paper 1 [1] established structural dependency analysis of the QANARY platform, and Paper…

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AI & Data Science Preprint PDF DOI

JURY-RL: Votes Propose, Proofs Dispose for Label-Free RLVR

Xinjie Chen, Biao Fu, Jing Wu, Guoxin Chen, Xinggao Liu, Dayiheng Liu, Minpeng Liao · 2026

Reinforcement learning with verifiable rewards (RLVR) enhances the reasoning of large language models (LLMs), but standard RLVR often depends on human-annotated answers or carefully curated reward spe…

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Mathematics Preprint PDF DOI

Chebyshev quotients, Demazure multiplicities, and Dyck-path models

Rekha Biswal, Ken Ono, Jujian Zhang · 2026

We study Chebyshev quotients that arise in the representation theory of Lie algebras, specifically within the theory of Demazure flags for fusion products of $\mathfrak{sl}_2[t]$-modules. Motivated by…

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