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AI & Data Science Preprint PDF DOI

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, Wenhu Chen, Jingdong Wang, Xinchao Wang, Xiaojuan Qi, Shijian Lu, Bin Wang · 2026

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, …

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AI & Data Science Preprint PDF DOI

Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Yujun Wu, Dongxu Zhang, Xinchen Li, Jinhang Xu, Yiling Duan, Yumou Liu, Jiabao Pan, Xuanhe Zhou, Jingxuan Wei, Siyuan Li, Jintao Chen, Conghui He, Cheng Tan · 2026

Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodological evolution. In particular, it does not…

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Engineering Preprint PDF DOI

Dreaming Across Towns: Semantic Rollout and Town-Adversarial Regularization for Zero-Shot Held-Out-Town Fixed-Route Driving in CARLA

Feeza Khan Khanzada, Jaerock Kwon · 2026

Learned driving agents often degrade when deployed in unseen environments. This paper studies a deliberately bounded instance of that problem in the CARLA simulator: zero-shot transfer of a closed-loo…

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AI & Data Science Preprint PDF DOI

Attractor FCM

Alexis Kafantaris · 2026

In this paper an attractor FCM is created, tested, and analyzed. This FCM is neither a hebbian based nor agentic, nor a hybrid; it rather is a gradient descent based, physics constrained, Jacobian ver…

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AI & Data Science Preprint PDF DOI

Graph World Models: Concepts, Taxonomy, and Future Directions

Jiawei Liu, Senqiao Yang, Mingjun Wang, Yu Wang, Bei Yu · 2026

As one of the mainstream models of artificial intelligence, world models allow agents to learn the representation of the environment for efficient prediction and planning. However, classical world mod…

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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 · 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 collecti…

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AI & Data Science Preprint PDF DOI

Differential Subgroup Discovery: Characterizing Where Two Populations Differ, and Why

Sascha Xu, Jilles Vreeken · 2026

We study the problem of understanding where two populations differ within a feature space, which we formalize in the concept of a differential subgroup: a subset of individuals from both populations w…

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Computer Science Preprint PDF DOI

Examining discontinuance of AI-mediated informal digital learning of English (AI-IDLE) among university students: Evidence from SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined university students' discontinuance intention towards AI-mediated informal digital learning of English (AI-IDLE). Drawing on the cognition-affect-conation framework, the study inve…

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Mathematics Preprint PDF DOI

An improved non-linear Roth-type theorem in finite fields

Mark Lewko · 2026

Let $F$ be a finite field of odd characteristic. We prove that any set $A\subset F$ with $|A|\geq C|F|^{5/6}$ contains a nontrivial quadratic progression $(x, x+y, x+y^2), y\neq 0.$ For prime fields, …

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AI & Data Science Preprint PDF DOI

PRTS: A Primitive Reasoning and Tasking System via Contrastive Representations

Yang Zhang, Jiangyuan Zhao, Chenyou Fan, Fangzheng Yan, Tian Li, Haitong Tang, Sen Fu, Xuan'er Wu, Qizhen Weng, Weinan Zhang, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li · 2026

Vision-Language-Action (VLA) models advance robotic control via strong visual-linguistic priors. However, existing VLAs predominantly frame pretraining as supervised behavior cloning, overlooking the …

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AI & Data Science Preprint PDF DOI

Perturbation Probing: A Two-Pass-per-Prompt Diagnostic for FFN Behavioral Circuits in Aligned LLMs

Hongliang Liu, Tung-Ling Li, Yuhao Wu · 2026

Perturbation probing generates task-specific causal hypotheses for FFN neurons in large language models using two forward passes per prompt and no backpropagation, followed by a one-time intervention …

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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 · 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 hea…

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AI & Data Science Preprint PDF DOI

A Novel Computational Framework for Causal Inference: Tree-Based Discretization with ILP-Based Matching

Tianyu Yang, Md. Noor-E-Alam · 2026

Causal inference is essential for data-driven decision-making, as it aims to uncover causal relationships from observational data. However, identifying causality remains challenging due to the potenti…

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AI & Data Science Preprint PDF DOI

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease

Woojung Bae, Taekwon Hong, Sang Kyu Lee, Dongrak Choi, Jong-Hyeon Jeong · 2026

In Alzheimer's disease research, for individuals who remain dementia-free through a given follow-up time, an important clinical question is how much longer they are likely to remain dementia-free. Qua…

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Computer Science Preprint PDF DOI

What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

Paraskevas V. Lekeas, Giorgos Stamatopoulos · 2026

LLM agents are known to deviate from Nash equilibria in strategic interactions, but nobody has looked inside the model to understand why, or asked whether the deviation can be reversed. We do both. …

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AI & Data Science Preprint PDF DOI

ConformaDecompose: Explaining Uncertainty via Calibration Localization

Fatima Rabia Yapicioglu, Meltem Aksoy, Alberto Rigenti, Tuwe Lofstrom-Cavallin, Helena Lofstrom-Cavallin, Seyda Yoncaci, Luca Longo · 2026

Conformal Prediction provides distribution-free prediction intervals with guaranteed coverage, but its reliance on a single global calibration threshold obscures the sources of uncertainty at the inst…

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AI & Data Science Preprint PDF DOI

TRUST: A Framework for Decentralized AI Service v.0.1

Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zhuo Zhang, Tianlong Chen · 2026

Large Reasoning Models (LRMs) and Multi-Agent Systems (MAS) in high-stakes domains demand reliable verification, yet centralized approaches suffer four limitations: (1) Robustness, with single points …

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Computer Science Preprint PDF DOI

BLINC: Context-Specific Causal Learning for Automated RAN Configuration

Reshma Prasad, Michele Polese, Tommaso Melodia · 2026

Radio Access Network (RAN) configuration has traditionally required significant manual effort due to indirect causal dependencies between observable Key Performance Indicators (KPIs), and context-depe…

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AI & Data Science Preprint PDF DOI

Causal Learning with Neural Assemblies

Evangelia Kopadi, Dimitris Kalles · 2026

Can Neural Assemblies -- groups of neurons that fire together and strengthen through co-activation -- learn the direction of causal influence between variables? While established as a computationally …

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