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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

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {L}odzikowski (Adam Mickiewicz University, Poznan, Poland) · 2026

Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the ca…

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Physics Preprint PDF DOI

CrossBench: Generalized Crosstalk Benchmark Generation for Quantum Computers

Jaden Hawley, Chi-Ren Shyu · 2026

As quantum computers continue to increase in size and topological complexity, benchmarking crosstalk becomes more complex and resource-intensive. This limits the ability to obtain relevant crosstalk m…

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AI & Data Science Preprint PDF DOI

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

Victoria Peterson, Akshat Srivastava, Raghav Prabhakar · 2026

We present a Spatially Embedded Evolutionary Algorithm where robot individuals exist in a physically simulated 2D environment, must navigate to encounter potential mates, and compete for survival unde…

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AI & Data Science Preprint PDF DOI

Electricity price forecasting across Norway's five bidding zones in the post-crisis era

My Thi Diem Phan, Trung Tuyen Truong, Hoai Phuong Ha, Dat Thanh Nguyen · 2026

Norway's electricity market is heavily dominated by hydropower, but the 2021--2022 energy crisis and stronger integration with Continental Europe have fundamentally altered price formation, reducing t…

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AI & Data Science Preprint PDF DOI

Who Trains Matters: Federated Learning under Enrollment and Participation Selection Biases

Gota Morishita · 2026

Federated learning (FL) trains a shared model from updates contributed by distributed clients, often implicitly assuming that contributing clients are representative of the target population. In pract…

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AI & Data Science Preprint PDF DOI

Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models

Haosen Li, Wenshuo Chen, Lei Wang, Shaofeng Liang, Bowen Tian, Soning Lai, Yutao Yue · 2026

Diffusion models have achieved remarkable success in synthesizing complex static and temporal visuals, a breakthrough largely driven by Classifier-Free Guidance (CFG). However, despite its pivotal rol…

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AI & Data Science Preprint PDF DOI

Persuadability and LLMs as Legal Decision Tools

Oisin Suttle, David Lillis · 2026

As Large Language Models (LLMs) are proposed as legal decision assistants, and even first-instance decision-makers, across a range of judicial and administrative contexts, it becomes essential to expl…

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AI & Data Science Preprint PDF DOI

Why Domain Matters: A Preliminary Study of Domain Effects in Underwater Object Detection

Melanie Wille, Dimity Miller, Tobias Fischer, Scarlett Raine · 2026

Domain shift, where deviations between training and deployment data distributions degrade model performance, is a key challenge in underwater environments. Existing benchmarks testing performance for …

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Physics Preprint PDF DOI

When JIMWLK evolution really matters: the example of incoherent diffraction

T. Lappi, D.N. Triantafyllopoulos · 2026

We consider high energy scattering in the effective theory of the Color Glass Condensate. The most convenient degrees of freedom are Wilson lines encoding multiple gluon exchanges, whose evolution wit…

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Computer Science Preprint PDF DOI

PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection

Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad Hamdaqa · 2026

Code understanding models increasingly rely on pretrained language models (PLMs) and graph neural networks (GNNs), which capture complementary semantic and structural information. We conduct a control…

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Computer Science Preprint PDF DOI

TetrisG-SDK: Efficient Convolutional Layer Mapping with Adaptive Windows and Grouped Convolutions for Fast In-Memory Computing

Ke Dong, Kejie Huang, Tao Luo, Bo Wang · 2026

Shifted-and-Duplicated-Kernel (SDK) mapping has emerged as an effective strategy to accelerate convolutional layers on compute-in-memory (CIM) hardware. However, existing SDK variants (e.g., VWC-SDK) …

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Mathematics Preprint PDF DOI

A colimit decomposition for the loop homology of polyhedral products

Lewis Stanton, Fedor Vylegzhanin · 2026

We show that the loop homology algebras of polyhedral products of the form $(\underline{X},\underline{*})^{\mathcal{K}}$ can be written as a colimit over the flagification of $\mathcal{K}$, and obtain…

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AI & Data Science Preprint PDF DOI

Don't Pause! Every prediction matters in a streaming video

Dibyadip Chatterjee, Zhanzhong Pang, Fadime Sener, Yale Song, Angela Yao · 2026

Streaming video models should respond the moment an event unfolds, not after the moment has passed. Yet existing online VideoQA benchmarks remain largely retrospective. They pause the video at fixed t…

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Physics Preprint PDF DOI

SVOM/C-GFT: Instrumentation and Performances on the SVOM Alerts

Chao Wu, Zhe Kang, Xiao-Meng Lu, Xu-Hui Han, Li-Ping Xin, Pin-Pin Zhang, You Lv, Cheng-Wei Zhu, Ruo-Son Zhang, Jin-Song Deng, Yu-Lei Qiu, Mao-Hai Huang, Hong-Bo Cai, Hai-Bo Hu, Lei Huang, Lei Jia, Yu Luo, Jing Wang, Mo Zhang, Si-Cheng Zou, Zhen-Wei Li, Cheng-Zhi Liu, Jian-Yan Wei · 2026

The Chinese Ground Follow-up Telescope (C-GFT) is an optical facility upgraded to support the Space Variable Objects Monitor mission (\textit{SVOM}). Located at the Jilin Observation Station, it is ca…

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AI & Data Science Preprint PDF DOI

An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources

Moritz Link, Jonathan Hoss, Noah Klarmann · 2026

Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged a…

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AI & Data Science Preprint PDF DOI

Hindsight Preference Optimization for Financial Time Series Advisory

Yanwei Cui, Guanghui Wang, Xing Zhang, Peiyang He, Ziyuan Li, Bing Zhu, Wei Qiu, Xusheng Wang, Zheng Yu, Anqi Xin · 2026

Time series models predict numbers; decision-makers need advisory -- directional signals with reasoning, actionable suggestions, and risk management. Training language models for such predictive advis…

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Mathematics Preprint PDF DOI

Sharp pathwise nonuniqueness for additive SDEs

Elias Hess-Childs, Keefer Rowan · 2026

We construct a family of velocity fields demonstrating the sharpness of the classical Zvonkin--Veretennikov--Davie strong well-posedness by noise regime. We consider stochastic differential equations …

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AI & Data Science Preprint PDF DOI

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

Ines Abbes, Mahmood Alzubaidi, Mowafa Househ, Khalid Alyafei, Marco Agus, Samir Brahim Belhaouari · 2026

Measurement-critical ultrasound tasks often depend on a small anatomical region, making global reconstruction metrics an unreliable proxy for clinical fidelity. We propose an ROI-aware representation …

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AI & Data Science Preprint PDF DOI

Architecture Matters for Multi-Agent Security

Ben Hagag, William L. Anderson, Christian Schroeder de Witt, Sarah Scheffler · 2026

Multi-agent systems (MAS), composed of networks of two or more autonomous AI agents, have become increasingly popular in production deployments, yet introduce security risks that do not arise in singl…

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