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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 ยท 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 aโ€ฆ

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AI & Data Science Preprint PDF DOI

Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights

Siu-Ming Tam ยท 2026

Tam [2026] shows that combining Bethel multivariate allocation with Hierarchical Bayes (HB) small area models can substantially reduce survey sample sizes while maintaining domain-level precision and โ€ฆ

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Economics & Finance Preprint PDF DOI

Decision Traces: What Multi-System Data Fusion Reveals About Institutional Knowledge in Enterprise Hiring

Saad Bin Shafiq ยท 2026

Enterprise hiring systems generate data across multiple disconnected platforms: applicant tracking systems (ATS) record candidate profiles, human resource information systems (HRIS) record performanceโ€ฆ

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Computer Science Preprint PDF DOI

Inter-Satellite Link Optimization for Low-Latency Global Networking

Arman Mollakhani, Jerayu Tiamraj, Shu-Jie Cao, Dongning Guo ยท 2026

Large-scale low-Earth-orbit satellite constellations offer a promising platform for global low-latency networking, aided by faster propagation in free space than in fiber and copper. In such systems, โ€ฆ

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Physics Preprint PDF DOI

Energies and lifetimes of the 9p and 10p excited states in atomic francium

P. Lassegues, A. Ajayakumar, M. Athanasakis-Kaklamanakis, O. Ahmad, M. Au, J. Berbalk, D. Bettaney, B. van den Borne, A. Chakraborty, T.E. Cocolios, M. Duggan, C. Fajardo, K.T. Flanagan, R.F. Garcia Ruiz, R. de Groote, D. Gonzalez-Acevedo, A. Kastberg, A. Koszorus, L. Lalanne, K.M. Lynch, D.T. McLeroy, A. McGlone, G. Neyens, L. Nies, L. Quanjel, A. Raggio, J. Reilly, B.K. Sahoo, J. Snikeris, J. Warbinek, S.G. Wilkins, X.F. Yang ยท 2026

We present the first measurement of 9p 2P1/2,3/2 and 10p 2P1/2,3/2 excited levels absolute wavenumbers and radiative lifetime in francium. We used the Collinear Resonance Ionization Spectroscopy (CRISโ€ฆ

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AI & Data Science Preprint PDF DOI

Coding-Free and Privacy-Preserving Agentic Framework for Data-Driven Clinical Research

Taehun Kim, Hyeryun Park, Hyeonhoon Lee, Yushin Lee, Kyungsang Kim, Hyung-Chul Lee ยท 2026

Clinical data-driven research requires clinical expertise, programming skills, access to patient data, and extensive documentation, creating barriers and slowing the pace for clinicians and external rโ€ฆ

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Computer Science Preprint PDF DOI

Can we Watermark Low-Entropy LLM Outputs?

Noam Mazor, Andrew Morgan, Rafael Pass ยท 2026

A recent and exciting thread of work focuses on developing methods for watermarking the output of large language models (LLMs). We focus on provably undetectable watermarking-that is, schemes that do โ€ฆ

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Computer Science Preprint PDF DOI

OrbitTransit: Traffic Delivery and Diffusion for Earth Observation via Satellite Mobility

Haoyuan Zhao, Long Chen, Yi Ching Chou, Hao Fang, Jiangchuan Liu ยท 2026

The emerging demand for Earth observation (EO) to address environmental challenges has driven unprecedented growth in its primary carrier, Low Earth Orbit satellites, in recent years. Ground stations โ€ฆ

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Computer Science Preprint PDF DOI

SmartPatchLinker: An Open-Source Tool to Linked Changes Detection for Code Review

Islem Khemissi, Moataz Chouchen, Dong Wang, Raula Gaikovina Kula ยท 2026

In large software ecosystems, semantically related code changes, such as alternative solutions or overlapping modifications are often discovered only days after submission, leading to duplicated efforโ€ฆ

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Mathematics Preprint PDF DOI

Parametric Region Search: A Mixed-Integer Bilevel Optimization Problem Primal Heuristic

Meng-Lin Tsai, Parth Brahmbhatt, Styliani Avraamidou ยท 2026

Bilevel optimization is a mathematical modeling formulation for hierarchical systems and two-player interactions, with wide-ranging applications in environmental, energy, and control engineering. Despโ€ฆ

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AI & Data Science Preprint PDF DOI

Realistic Market Impact Modeling for Reinforcement Learning Trading Environments

Lucas Riera Abbade, Anna Helena Reali Costa ยท 2026

Reinforcement learning (RL) has shown promise for trading, yet most open-source backtesting environments assume negligible or fixed transaction costs, causing agents to learn trading behaviors that faโ€ฆ

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AI & Data Science Preprint PDF DOI

GMT: Goal-Conditioned Multimodal Transformer for 6-DOF Object Trajectory Synthesis in 3D Scenes

Huajian Zeng, Abhishek Saroha, Daniel Cremers, Xi Wang ยท 2026

Synthesizing controllable 6-DOF object manipulation trajectories in 3D environments is essential for enabling robots to interact with complex scenes, yet remains challenging due to the need for accuraโ€ฆ

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Engineering Preprint PDF DOI

Near-Field NLOS Localization via Position-Unknown HRIS:From Self-Localization to Target Positioning

Hua Chen, Linke Yu, Tuo Wu, Maged Elkashlan, Naofal Al-Dhahir, Merouane Debbah, K. C. Ho ยท 2026

Current reconfigurable intelligent surface (RIS)-aided near-field (NF) localization methods assume the RIS position is known a priori, and it has limited their practical applicability. This paper applโ€ฆ

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Engineering Preprint PDF DOI

Performance Analysis of Flexible Duplex Inter-Satellite Links in LEO Networks

Yomali Lokugama, Charith Dissanayake, Saman Atapattu, Kandeepan Sithamparanathan ยท 2026

This paper investigates energy-efficient inter-satellite communication in Low Earth Orbit (LEO) networks, where satellites exchange both buffered and newly generated data through half-duplex inter-satโ€ฆ

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AI & Data Science Preprint PDF DOI

Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI

Hadas Ben Atya, Nicole Abramenkov, Noa Mashiah, Luise Brock, Daphna Link Sourani, Ram Weiss, Moti Freiman ยท 2026

Estimating multi-component T2 relaxation distributions from Multi-Echo Spin Echo (MESE) MRI is a severely ill-posed inverse problem, traditionally solved using regularized non-negative least squares (โ€ฆ

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Engineering Preprint PDF DOI

Load Balancing in Non-Terrestrial Networks Using Free Space Optical Inter-satellite Links

Abid Afridi, Alexis A. Dowhuszko, Jevgenij Krivochiza, Risto Wichman, Jyri Hamalainen ยท 2026

Non-terrestrial networks (NTNs) increasingly rely on non-geostationary (NGSO) constellations that combine radio frequency (RF) feeder links (FLs) with free space optical (FSO) inter-satellite links (Iโ€ฆ

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Engineering Preprint PDF DOI

BER Analysis and Optimization for Continuous RIS-Enabled NOMA

Mahmoud AlaaEldin, Amy S. Inwood, Peter J. Smith, Michail Matthaiou ยท 2026

This letter investigates a novel uplink (UL) system that integrates power-domain non-orthogonal multiple access (PD-NOMA) with a continuous reconfigurable intelligent surface (CRIS). We analyze the efโ€ฆ

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Engineering Preprint PDF DOI

Performance Bounds and Robust Filtering for LEO Inter-Satellite Synchronization under Cross-Epoch Doppler Coupling

Haofan Dong, Houtianfu Wang, Hanlin Cai, Ozgur B. Akan ยท 2026

Low Earth orbit (LEO) inter-satellite links (ISLs) must achieve joint synchronization and ranging under severe hardware impairments, namely oscillator phase noise, clock drift, and measurement outlierโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Enhanced Seismicity Monitoring in the Rapid Scientific Response to the 2025 Santorini Crisis

Margarita Segou, Foteini Dervisi, Xing Tan, Rajat Choudhary, Patricia Martinez-Garzon, Francesco Scotto di Uccio, Gregory Beroza, Genny Giacomuzzi, Claudio Chiarabba, Wayne Shelley, Stephanie Prejean, Jeremy Pesicek, John J. Wellik, Marco Bohnhoff, David Pyle, Costas Synolakis, Tom Parsons, Athanassios Ganas, William Ellsworth, Brian Baptie, Gaetano Festa, Piero Poli, Warner Marzocchi ยท 2026

We used a deep learning workflow to enhance earthquake detection during the 2025 seismic unrest between Santorini and Amorgos islands to track the evolution of the crisis in near real-time. We analyseโ€ฆ

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Physics Preprint PDF DOI

Non-equilibrium generalized Langevin equation for multi-dimensional observables

Benjamin J. A. Hery, Lucas Tepper, Andrea Guljas, Artem Pavlov, Beate Koksch, Cecilia Clementi, Roland R. Netz ยท 2026

The Mori-Zwanzig formalism is a powerful theoretical framework for deriving equations of motion for coarse-grained observables in the form of generalized Langevin equations (GLEs) involving evolution โ€ฆ

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