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AI & Data Science Preprint PDF DOI

Synthetic Computers at Scale for Long-Horizon Productivity Simulation

Tao Ge, Baolin Peng, Hao Cheng, Jianfeng Gao ยท 2026

Realistic long-horizon productivity work is strongly conditioned on user-specific computer environments, where much of the work context is stored and organized through directory structures and contentโ€ฆ

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Computer Science Preprint PDF DOI

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale

Andrei Seoev, Dmitry Belousov, Anastasiia Smirnova, Ksenia Kurinova, Aleksei Smirnov, Denis Fedyanin, Yury Yanovich ยท 2026

Maximal Extractable Value (MEV) represents billions of dollars in extracted value that fundamentally shapes blockchain network dynamics and participant incentives. While research has focused on MEV exโ€ฆ

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AI & Data Science Preprint PDF DOI

From LLM-Driven Trading Card Generation to Procedural Relatedness: A Pok\'emon Case Study

Johannes Pfau, Panagiotis Vrettis ยท 2026

Since the dawn of Trading Card Games, the genre has grown into a multi-billion-dollar industry engaging millions of analog and digital players worldwide. Popular TCGs rely on regular updates, balance โ€ฆ

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Physics Preprint PDF DOI

Discrete Lattice Models for Interface Growth on a Complete Graph

J. M. Marcos, J. J. Melendez, R. Cuerno, J. J. Ruiz-Lorenzo ยท 2026

We investigate the behavior of discrete interface growth models belonging to the Edwards--Wilkinson (EW) and Kardar--Parisi--Zhang (KPZ) universality classes, when defined on a complete graph, a topolโ€ฆ

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Computer Science Preprint PDF DOI

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

Bowen Sun, Chaozhuo Li, Yaodong Yang, Yiwei Wang, Chaowei Xiao ยท 2026

Decompositional jailbreaks pose a critical threat to large language models (LLMs) by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collectiโ€ฆ

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Physics Preprint PDF DOI

Some Properties and Uses of the Species Scale

Luis E. Ibanez ยท 2026

The 'Species Scale' has proved to be an important concept when studying consistent effective actions in Quantum Gravity. This is a short summary of my contribution to the Corfu Summer Institute in Sepโ€ฆ

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Physics Preprint PDF DOI

High-Girth Regular Quantum LDPC Codes from Square-Base Hypergraph Products via CPM Lifts

Koki Okada, Kenta Kasai ยท 2026

We study square-base Calderbank--Shor--Steane (CSS) hypergraph-product codes as a finite-length class for regular high-girth quantum low-density parity-check (LDPC) design. For base matrices of small โ€ฆ

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Economics & Finance Preprint PDF DOI

The Satoshi Overhang: Why the Bear Case is Bounded

Karl T. Ulrich ยท 2026

Renewed public attention on the identity of Bitcoin's pseudonymous creator has sharpened focus on the Satoshi overhang, commonly framed as a tail risk for bitcoin. This paper argues that the mechanicaโ€ฆ

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Physics Preprint PDF DOI

A benchmark for binary star interaction with a supermassive black hole in general relativity

Megha Sharma, Alexander Heger, Daniel J. Price, Emilio Tejeda, Evgeni Grishin, Luis A. Manzaneda, Alessandro A. Trani ยท 2026

Most galaxies have supermassive black holes (SMBH) at their centres, surrounded by stars with binary systems also present in this environment. We use two schemes - post-Newtonian (PN) and a scalar perโ€ฆ

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AI & Data Science Preprint PDF DOI

Bayesian X-Learner: Calibrated Posterior Inference for Heterogeneous Treatment Effects under Heavy-Tailed Outcomes

Eichi Uehara ยท 2026

Conditional Average Treatment Effect (CATE) estimation in practice demands three properties simultaneously: heterogeneous effects $\tau(x)$, calibrated uncertainty over them, and robustness to the heaโ€ฆ

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AI & Data Science Preprint PDF DOI

VeraRetouch: A Lightweight Fully Differentiable Framework for Multi-Task Reasoning Photo Retouching

Yihong Guo, Youwei Lyu, Jiajun Tang, Yizhuo Zhou, Hongliang Wang, Jinwei Chen, Changqing Zou, Qingnan Fan ยท 2026

Reasoning photo retouching has gained significant traction, requiring models to analyze image defects, give reasoning processes, and execute precise retouching enhancements. However, existing approachโ€ฆ

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AI & Data Science Preprint PDF DOI

Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving

Lijin Yang, Jianing Huang, Zhongzhan Huang, Shu Liu, Hao Yang ยท 2026

Recent advances in vision language action (VLA) models have shown remarkable potential for autonomous driving by directly mapping multimodal inputs to control signals. However, previous VLA-based methโ€ฆ

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AI & Data Science Preprint PDF DOI

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

Jialu Liu, Yue Cui, Shan Yu ยท 2026

Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular disease management but remains challenging due to complex vascular topology and variable morphology. Existโ€ฆ

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Computer Science Preprint PDF DOI

Multi-element Persuasion in Social Media Health Communication: Synergistic and Trade-off Effects

Weifeng Zhang, Jipeng Tan, Mengye Yang, Yong Min ยท 2026

Health messages on social media are typically constructed through combinations of source cues, appeals, frames, and evidence, which jointly shape communication and persuasive effects. However, prior rโ€ฆ

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Computer Science Preprint PDF DOI

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

Jun Yeon Won, Xin Jin, Shiqing Ma, Zhiqiang Lin ยท 2026

Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including computer security. In reverse engineering, LLMs are incโ€ฆ

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AI & Data Science Preprint PDF DOI

Machine Collective Intelligence for Explainable Scientific Discovery

Gyoung S. Na, Chanyoung Park ยท 2026

Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximatiโ€ฆ

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Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen ยท 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal preโ€ฆ

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AI & Data Science Preprint PDF DOI

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

Yizhou Wu, Shansong Wang, Yuheng Li, Mojtaba Safari, Mingzhe Hu, Chih-Wei Chang, Harini Veeraraghavan, Xiaofeng Yang ยท 2026

Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single selโ€ฆ

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Mathematics Preprint PDF DOI

Hard Legendrian unknots

Joseph Breen, Austin Christian, Angela Wu ยท 2026

We initiate the study of Reidemeister hardness of Legendrian unknot front projections. Using normal rulings, we obstruct several infinite families of hard unknot diagrams from being drawn with max-tb โ€ฆ

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AI & Data Science Preprint PDF DOI

End-to-end autonomous scientific discovery on a real optical platform

Shuxing Yang, Fujia Chen, Rui Zhao, Junyao Wu, Yize Wang, Haiyao Luo, Ning Han, Qiaolu Chen, Yuze Hu, Wenhao Li, Mingzhu Li, Hongsheng Chen, Yihao Yang ยท 2026

Scientific research has long been human-led, driving new knowledge and transformative technologies through the continual revision of questions, methods and claims as evidence accumulates. Although larโ€ฆ

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