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AI & Data Science Preprint PDF DOI

Categorical Optimization with Bayesian Anchored Latent Trust Regions for Structural Design under High-Dimensional Uncertainty

Zhangyong Liang, Huanhuan Gao ยท 2026

Categorical structural optimization under aleatoric uncertainty is challenging because each design variable must be selected from a finite catalog of admissible instances, while each candidate design โ€ฆ

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Computer Science Preprint PDF DOI

ARCHES: Adaptive Real-Time Switching of AI Models for the RAN

Neagin Neasamoni Santhi, Davide Villa, Michele Polese, Salvatore D'Oro, Yunseong Lee, Koichiro Furueda, Tommaso Melodia ยท 2026

Artificial Intelligence (AI) has become a powerful tool for model-free Radio Access Network (RAN) signal processing and optimization. However, designing a single model that generalizes across all radiโ€ฆ

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AI & Data Science Preprint PDF DOI

HARBOR: Automated Harness Optimization

Biswa Sengupta, Jinhua Wang ยท 2026

Long-horizon language-model agents are dominated, in lines of code and in operational complexity, not by their underlying model but by the harness that wraps it: context compaction, tool caching, semaโ€ฆ

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Computer Science Preprint PDF DOI

Party Autonomy in Determining the Law Applicable to Non-contractual Obligations concerning Cross-Border Data Transfers

Yuki Okamura, Ren Yatsunami, Kumiko Kameishi, Oliver Posani, Soma Araoka, Miho Ikeda, Makiko Aoyagi ยท 2026

(1)Cross-border data transfers have become a matter of daily occurrence against the backdrop of the development of cloud computing and artificial intelligence. Consequently, where a data leak gives riโ€ฆ

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Physics Preprint PDF DOI

Microscopic primordial black holes as macroscopic dark matter from large extra dimensions

Giuseppe Filiberto Vitale, Gaetano Lambiase, Tanmay Kumar Poddar, Luca Visinelli ยท 2026

We study the coupled cosmological evolution of primordial black holes (PBHs) and radiation in the Arkani-Hamed-Dimopoulos-Dvali (ADD) framework with $n$ large extra dimensions and a fundamental gravitโ€ฆ

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AI & Data Science Preprint PDF DOI

Equifinality in Mixture of Experts: Routing Topology Does Not Determine Language Modeling Quality

Ivan Ternovtsii, Yurii Bilak ยท 2026

Sparse Mixture-of-Experts (MoE) architectures employ increasingly sophisticated routing mechanisms -- learned routers, multi-hop trajectories, token-dependent gating. We ask: does routing topology actโ€ฆ

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Mathematics Preprint PDF DOI

$C^{1/5^{-}}$ Convex Integration Solutions of Ideal MHD

Matteo Giardi, Laszlo Szekelyhidi Jr ยท 2026

For any $0\leq \gamma < 1/5$, we construct weak solutions $(v, B, p )$ of the Ideal MHD Equations which do not conserve the total kinetic energy, the cross-helicity and lie in $C^\gamma(\mathbb{T}^3\tโ€ฆ

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AI & Data Science Preprint PDF DOI

TriFit: Trimodal Fusion with Protein Dynamics for Mutation Fitness Prediction

Seungik Cho ยท 2026

Predicting the functional impact of single amino acid substitutions (SAVs) is central to understanding genetic disease and engineering therapeutic proteins. While protein language models and structureโ€ฆ

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Computer Science Preprint PDF DOI

Automated SVA Generation with LLMs

Lik Tung Fu, Qihang Wang, Shaokai Ren, Mengli Zhang, Sichao Yang, Jun Liu, Xi Wang ยท 2026

Functional verification remains a dominant cost in modern IC development, and SystemVerilog Assertions (SVAs) are critical for simulation-based monitoring and formal property checking. However, writinโ€ฆ

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Computer Science Preprint PDF DOI

Verifying In-Network Computing Systems for Design Risks

Tianyu Bai, Ying Zhang, Xiaoxi Zhang, Wenfei Wu ยท 2026

The emergence of programmable switches has brought in-network computing (INC) into the spotlight in recent years. By offloading computation directly onto the data transmission process, INC improves neโ€ฆ

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Computer Science Preprint PDF DOI

CoverAssert: Iterative LLM Assertion Generation Driven by Functional Coverage via Syntax-Semantic Representations

Yonghao Wang, Yang Yin, Hongqin Lyu, Jiaxin Zhou, Zhiteng Chao, Mingyu Shi, Wenchao Ding, Yunlin Du, Jing Ye, Tiancheng Wang, Huawei Li ยท 2026

LLMs can generate SystemVerilog assertions (SVAs) from natural language specs, but single-pass outputs often lack functional coverage due to limited IC design understanding. We propose CoverAssert, anโ€ฆ

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Computer Science Preprint PDF DOI

Corporate Training in Brazilian Software Engineering: A Quantitative Study of Professional Perceptions

Rodrigo Siqueira, Antonio Oliveira, Breno Alves Andrade, Lidiane C. S. Gomes, Danilo Monteiro Ribeiro ยท 2026

Context: Strategic corporate training is essential for the sustained professional development of software engineers. However, there is a knowledge gap regarding the factors that drive quality and effeโ€ฆ

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Computer Science Preprint PDF DOI

Negotiating Privacy with Smart Voice Assistants: Risk-Benefit and Control-Acceptance Tensions

Molly Campbell, Mohamad Sheikho Al Jasem, Ajay Kumar Shrestha ยท 2026

Smart Voice assistants (SVAs) are widely adopted by youth, yet privacy decision-making in these environments is often characterized by competing considerations rather than clear-cut preferences. Whileโ€ฆ

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AI & Data Science Preprint PDF DOI

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices

Kim Jun-Seong, Mingyu Kim, GeonU Kim, Tae-Hyun Oh, Jin-Hwa Kim ยท 2026

We introduce Fact-Hash, a novel parameter-encoding method for training on-device neural radiance fields. Neural Radiance Fields (NeRF) have proven pivotal in 3D representations, but their applicationsโ€ฆ

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Computer Science Preprint PDF DOI

ChatSVA: Bridging SVA Generation for Hardware Verification via Task-Specific LLMs

Lik Tung Fu, Jie Zhou, Shaokai Ren, Mengli Zhang, Jia Xiong, Hugo Jiang, Nan Guan, Xi Wang, Jun Yang ยท 2026

Functional verification consumes over 50% of the IC development lifecycle, where SystemVerilog Assertions (SVAs) are indispensable for formal property verification and enhanced simulation-based debuggโ€ฆ

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Engineering Preprint PDF DOI

Spherical Antenna Arrays for Future Communications: Principles, Applications, and Research Directions

Cunhua Pan, Xianzhe Chen, Hong Ren, Jiangzhou Wang ยท 2026

With the development of 6G technologies, traditional uniform linear arrays (ULAs) and uniform planar arrays (UPAs) can hardly meet the demands of three-dimensional (3D) full-space coverage and high anโ€ฆ

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Physics Preprint PDF DOI

Galaxy formation in the first billion years

Rachel S. Somerville ยท 2026

These notes present material from lectures given at the 54th Saas-Fee Advanced Course of the Swiss Society of Astrophysics and Astronomy in January 2025, entitled "Galaxies and Black Holes in the Firsโ€ฆ

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Computer Science Preprint PDF DOI

Steering through Time: Blending Longitudinal Data with Simulation to Rethink Human-Autonomous Vehicle Interaction

Yasaman Hakiminejad, Shiva Azimi, Luis Gomero, Elizabeth Pantesco, Irene P. Kan, Meltem Izzetoglu, Arash Tavakoli ยท 2026

As semi-automated vehicles (SAVs) become more common, ensuring effective human-vehicle interaction during control handovers remains a critical safety challenge. Existing studies often rely on single-sโ€ฆ

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AI & Data Science Preprint PDF DOI

Improving Efficiency of GPU Kernel Optimization Agents using a Domain-Specific Language and Speed-of-Light Guidance

Siva Kumar Sastry Hari, Vignesh Balaji, Sana Damani, Qijing Huang, Christos Kozyrakis ยท 2026

Optimizing GPU kernels with LLM agents is an iterative process over a large design space. Every candidate must be generated, compiled, validated, and profiled, so fewer trials will save both runtime aโ€ฆ

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Computer Science Preprint PDF DOI

Expert Streaming: Accelerating Low-Batch MoE Inference via Multi-chiplet Architecture and Dynamic Expert Trajectory Scheduling

Songchen Ma, Hongyi Li, Weihao Zhang, Yonghao Tan, Pingcheng Dong, Yu Liu, Lan Liu, Yuzhong Jiao, Xuejiao Liu, Luhong Liang, Kwang-Ting Cheng ยท 2026

Mixture-of-Experts is a promising approach for edge AI with low-batch inference. Yet, on-device deployments often face limited on-chip memory and severe workload imbalance; the prevalent use of offloaโ€ฆ

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