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Engineering Preprint PDF DOI

Design Structure Matrix Modularization with Large Language Models

Shuo Jiang, Jianxi Luo · 2026

Design Structure Matrix (DSM) modularization, the task of partitioning system elements into cohesive modules, is a fundamental combinatorial challenge in engineering design. Traditional methods treat …

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Computer Science Preprint PDF DOI

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs

Andrey Voronin, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Constant Product Market Makers use fees that are typically fixed proportions of trade size. When these fees are automatically reinvested into the pool, as in Uniswap~V2 and some designs of Uniswap V4,…

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Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contract…

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Physics Preprint PDF DOI

Compressibility of micromagnetic solutions in tensor train format

Thierry Valet, Nicolas Vukadinovic · 2026

For three-dimensional (3D) magnetic objects with linear size $L$ exceeding a few exchange lengths, the micromagnetic state exhibits pronounced informational sparsity: low-dimensional, high-gradient re…

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AI & Data Science Preprint PDF DOI

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning

Shijin Gong, Kai Ye, Jin Zhu, Xinyu Zhang, Hongyi Zhou, Chengchun Shi · 2026

Recent advances in large language models (LLMs) have increasingly relied on reinforcement learning (RL) to improve their reasoning capabilities. Three approaches have been widely adopted: (i) Proximal…

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AI & Data Science Preprint PDF DOI

Geometry-Calibrated Conformal Abstention for Language Models

Rui Xu, Yi Chen, Sihong Xie, Hui Xiong · 2026

When language models lack relevant knowledge for a given query, they frequently generate plausible responses that can be hallucinations, rather than admitting being agnostic about the answer. Retraini…

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AI & Data Science Preprint PDF DOI

HiMix: Hierarchical Artifact-aware Mixup for Generalized Synthetic Image Detection

Shuchang Zhou, Kaiwen Shen, Jiwei Wei, Yuyang Zhou, Peng Wang, Yang Yang · 2026

The rapid evolution of generative models has enabled the creation of highly realistic and diverse synthetic images, posing significant challenges to reliable and generalizable Synthetic Image Detectio…

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Mathematics Preprint PDF DOI

Nonlocalised damping estimates for hyperbolic relaxation systems in one space dimensions

Johannes Barlin · 2026

In this paper, we present a new approach to obtain so-called damping estimates for self-similar solutions to general hyperbolic relaxation systems applying the method of characteristics. Such damping …

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AI & Data Science Preprint PDF DOI

Reasoning over Object Descriptions Improves Coreference Resolution in Task-Based Dialogue Systems

Oier Ijurco, Oier Lopez de Lacalle · 2026

Task-based dialogue systems assist users in achieving specific goals, such as executing actions or retrieving information, through natural language interactions. Accurate coreference resolution is ess…

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Engineering Preprint PDF DOI

ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control

Yanghao Zhou, Jingyu Ma, Yibo Peng, Zhenguo Sun, Yu Bai, Borje F. Karlsson · 2026

Humanoid control systems have made significant progress in recent years, yet modeling fluent interaction-rich behavior between a robot, its surrounding environment, and task-relevant objects remains a…

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AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

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AI & Data Science Preprint PDF DOI

World2Minecraft: Occupancy-Driven Simulated Scenes Construction

Lechao Zhang, Haoran Xu, Jingyu Gong, Xuhong Wang, Yuan Xie, Xin Tan · 2026

Embodied intelligence requires high-fidelity simulation environments to support perception and decision-making, yet existing platforms often suffer from data contamination and limited flexibility. To …

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Computer Science Preprint PDF DOI

Harnessing the Freedom of Non-Uniformity in Monostatic ISAC with Antenna Flexibility

Zhe Wang, Mahmoud Zaher, Vitaly Petrov, Emil Bjornson · 2026

This paper studies flexible non-uniform array design for monostatic integrated sensing and communication (ISAC) systems. An antenna pool is considered at the base station, where each candidate antenna…

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AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

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Biology & Life Sciences Preprint PDF DOI

Incorporating the underuse problem in the tragedy of the commons

Shota Shibasaki, Wakaba Tateishi, Shuhei Fujii, Ryosuke Nakadai · 2026

The tragedy of the commons has traditionally been framed as a problem of resource overuse driven by self-interested exploitation. In contrast, growing empirical evidence shows that insufficient use or…

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Computer Science Preprint PDF DOI

I'm Fine, But My Voice Isn't: Cross-Modal Affective Dissonance Detection for Reflective Journaling

Sumin Lee · 2026

Digital journaling creates an authenticity gap: users consciously translate raw emotions into text, often sanitizing narratives even in private writing. We formalize this as Cross-Modal Affective Diss…

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AI & Data Science Preprint PDF DOI

EdgeFM: Efficient Edge Inference for Vision-Language Models

Mengling Deng, Yuanpeng Chen, Sheng Yang, Wei Tao, Wenhai Zhang, Hui Song, Linyuanhao Qin, Kai Zhao, Xiaojun Ye, Shanhui Mo, Jingli Fan, Shuang Zhang, Bei Liu, Tiankun Zhao, Xiangjing An · 2026

Vision-language models (VLMs) have demonstrated strong applicability in edge industrial applications, yet their deployment remains severely constrained by requirements for deterministic low latency an…

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AI & Data Science Preprint PDF DOI

HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats

Rebecca Soskin Hicks, Mikhail Trofimov, Dominick Lim, Rahul K. Arora, Foivos Tsimpourlas, Preston Bowman, Michael Sharman, Chi Tong, Kavin Karthik, Arnav Dugar, Akshay Jagadeesh, Khaled Saab, Johannes Heidecke, Ashley Alexander, Nate Gross, Karan Singhal · 2026

Millions of clinicians use ChatGPT to support clinical care, but evaluations of the most common use cases in model-clinician conversations are limited. We introduce HealthBench Professional, an open b…

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Physics Preprint PDF DOI

High-Rate Free-Space Continuous-Variable QKD with Self-Referenced Passive State Preparation

H.W. Yin, X.J. Liao, Y.H. Xu, P. Huang, K.T. Zhu, T. Wang, G.H. Zeng · 2026

Continuous-variable quantum key distribution (CVQKD) using passive state preparation (PSP) offers low-cost, high-rate secure communication. However, the existing PSP-CVQKD scheme with a transmitted lo…

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Sociology & Anthropology Preprint PDF DOI

Nothing Deceives Like Success: Social Learning and the Illusion of Understanding in Science

Avery W. Louis, Marina Dubova · 2026

Success-driven social learning, in which individuals preferentially adopt the ideas and methods that appear most successful, is a foundational principle of collective behavior across systems ranging f…

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