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Economics & Finance Preprint PDF DOI

Decomposing Common Agency

Zhiming Feng · 2026

This paper develops a decomposition methodology for common agency games in which each principal's payoff depends on her own outcome and the agent's type, but not on rivals' outcomes. The key step redu…

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AI & Data Science Preprint PDF DOI

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning

Juyong Jiang, Chenglin Cai, Chansung Park, Jiasi Shen, Sunghun Kim, Jianguo Li, Yue Wang · 2026

While Large Language Models (LLMs) excel at function-level code generation, project-level tasks such as generating functional and visually aesthetic multi-page websites remain highly challenging. Exis…

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Physics Preprint PDF DOI

Inhibitory neuristor based on metal-to-insulator transition

Victor Palin, Akash Agnihotri, Nareg Ghazikhanian, Matthew Frame, Yayoi Takamura, Ivan K. Schuller, Pavel Salev · 2026

Mimicking the collective excitatory and inhibitory behaviors of biological neurons remains a critical challenge in the development of neuromorphic computing systems that rival the complexity and perfo…

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AI & Data Science Preprint PDF DOI

SignDPO: Multi-level Direct Preference Optimisation for Skeleton-based Gloss-free Sign Language Translation

Muxin Pu, Xiao-Ming Wu, Mei Kuan Lim, Chun Yong Chong, Wei Li, Chen Change Loy · 2026

We present SignDPO, a novel multi-level Direct Preference Optimisation (DPO) framework designed to enhance the alignment of skeleton-based Sign Language Translation. While current skeleton-based model…

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Computer Science Preprint PDF DOI

The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets

Gaston Besanson · 2026

As generative AI commercializes, competitive advantage is shifting from model training toward inference, distribution, and routing. This paper develops a formal game-theoretic model of vertical forecl…

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AI & Data Science Preprint PDF DOI

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning

Thanh Linh Nguyen, Nguyen Van Huynh, Quoc-Viet Pham · 2026

In data-sensitive domains such as healthcare, cross-silo federated learning (CFL) allows organizations to collaboratively train AI models without sharing raw data. However, practical CFL deployments a…

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AI & Data Science Preprint PDF DOI

A Multi-Stage Optimization Pipeline for Bethesda Cell Detection in Pap Smear Cytology

Martin Amster, Camila Maria Polotto · 2026

Computer vision techniques have advanced significantly in recent years, finding diverse and impactful applications within the medical field. In this paper, we introduce a new framework for the detecti…

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AI & Data Science Preprint PDF DOI

LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling

Yuxin Chen, Chumeng Liang, Hangke Sui, Ruihan Guo, Chaoran Cheng, Jiaxuan You, Ge Liu · 2026

Continuous diffusion has been the foundation of high-fidelity, controllable, and few-step generation of many data modalities such as images. However, in language modeling, prior continuous diffusion l…

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AI & Data Science Preprint PDF DOI

PokeRL: Reinforcement Learning for Pokemon Red

Dheeraj Mudireddy, Sai Patibandla · 2026

Pokemon Red is a long-horizon JRPG with sparse rewards, partial observability, and quirky control mechanics that make it a challenging benchmark for reinforcement learning. While recent work has shown…

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Computer Science Preprint PDF DOI

Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution

Robert Dilworth · 2026

In what way could a data breach involving government-issued IDs such as passports, driver's licenses, etc., rival a random voluntary disclosure on a nondescript social-media platform? At first glance,…

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AI & Data Science Preprint PDF DOI

U-Cast: A Surprisingly Simple and Efficient Frontier Probabilistic AI Weather Forecaster

Salva Ruhling Cachay, Duncan Watson-Parris, Rose Yu · 2026

AI-based weather forecasting now rivals traditional physics-based ensembles, but state-of-the-art (SOTA) models rely on specialized architectures and massive computational budgets, creating a high bar…

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AI & Data Science Preprint PDF DOI

LINE: LLM-based Iterative Neuron Explanations for Vision Models

Vladimir Zaigrajew, Micha{l} Piechota, Gaspar Sekula, Przemys{l}aw Biecek · 2026

Interpreting the concepts encoded by individual neurons in deep neural networks is a crucial step towards understanding their complex decision-making processes and ensuring AI safety. Despite recent p…

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Physics Preprint PDF DOI

The Broken Similarity: Sinking and Merging of Dark Matter Subhalos Across Hierarchical Levels

Wenkang Jiang, Jiaxin Han, Kun Xu, Victor J. Forouhar Moreno, Feihong He, Zhaozhou Li, Chunyan Jiang, Yipeng Jing, Xiaohu Yang · 2026

We investigate hierarchical mergers among subhalos within a $\Lambda$CDM simulation using the HBT+ subhalo finder. Unlike previous methods, HBT+ tracks subhalo evolution across hierarchy levels, ident…

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Economics & Finance Preprint PDF DOI

SoK: Blockchain Agent-to-Agent Payments

Yuanzhe Zhang, Yuexin Xiang, Yuchen Lei, Qin Wang, Tian Qiu, Yujing Sun, Spiridon Zarkov, Tsz Hon Yuen, Andreas Deppeler, Jiangshan Yu, Kwok-Yan Lam · 2026

Agentic AI rivals human capabilities across a wide range of domains. Looking ahead, it is foreseeable that AI agents will autonomously handle complex workflows and interactions. Early prototypes of th…

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AI & Data Science Preprint PDF DOI

VOSR: A Vision-Only Generative Model for Image Super-Resolution

Rongyuan Wu, Lingchen Sun, Zhengqiang Zhang, Xiangtao Kong, Jixin Zhao, Shihao Wang, Lei Zhang · 2026

Most of the recent generative image super-resolution (SR) methods rely on adapting large text-to-image (T2I) diffusion models pretrained on web-scale text-image data. While effective, this paradigm st…

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Computer Science Preprint PDF DOI

An Independent Safety Evaluation of Kimi K2.5

Zheng-Xin Yong, Parv Mahajan, Andy Wang, Ida Caspary, Yernat Yestekov, Zora Che, Mosh Levy, Elle Najt, Dennis Murphy, Prashant Kulkarni, Lev McKinney, Kei Nishimura-Gasparian, Ram Potham, Aengus Lynch, Michael L. Chen · 2026

Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this work, we conduct a prel…

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Economics & Finance Preprint PDF DOI

Bridging Distant Ideas: the Impact of AI on R&D and Recombinant Innovation

Emanuele Bazzichi, Massimo Riccaboni, Fulvio Castellacci · 2026

We study how artificial intelligence (AI) affects firms' incentives to pursue incremental versus radical knowledge recombinations. We develop a model of recombinant innovation embedded in a Schumpeter…

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AI & Data Science Preprint PDF DOI

Center-Aware Detection with Swin-based Co-DETR Framework for Cervical Cytology

Yan Kong, Yuan Yin, Hongan Chen, Yuqi Fang, Caifeng Shan · 2026

Automated analysis of Pap smear images is critical for cervical cancer screening but remains challenging due to dense cell distribution and complex morphology. In this paper, we present our winning so…

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AI & Data Science Preprint PDF DOI

Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

Ankit Grover, Lodovico Giaretta, Remi Bourgerie, Sarunas Girdzijauskas · 2026

The integration of Graph Neural Networks (GNNs) with Large Language Models (LLMs) has emerged as a promising paradigm for Graph Question Answering (GraphQA). However, effective methods for encoding co…

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AI & Data Science Preprint PDF DOI

Asymmetric Actor-Critic for Multi-turn LLM Agents

Shuli Jiang, Zhaoyang Zhang, Yi Zhang, Shuo Yang, Wei Xia, Stefano Soatto · 2026

Large language models (LLMs) exhibit strong reasoning and conversational abilities, but ensuring reliable behavior in multi-turn interactions remains challenging. In many real-world applications, agen…

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