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AI & Data Science Preprint PDF DOI

Stable Behavior, Limited Variation: Persona Validity in LLM Agents for Urban Sentiment Perception

Neemias B da Silva, Rodrigo Minetto, Daniel Silver, Thiago H Silva · 2026

Large Language Models (LLMs) are increasingly used as proxies for human perception in urban analysis, yet it remains unclear whether persona prompting produces meaningful and reproducible behavioral d…

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Mathematics Preprint PDF DOI

Frobenius Traces for Rank-2 Drinfeld Modules, Higher-Dimensional Galois Representations, and a Strong Multiplicity One Theorem in Positive Characteristic

Chien-Hua Chen · 2026

In this paper, we prove that if the Frobenius traces agree at all but finitely many places, then two $l$-adic Galois representations, associated to rank-$2$ non-CM Drinfeld modules of generic characte…

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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

In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

Simon Dennis, Michael Diamond, Rivaan Patil, Kevin Shabahang, Hao Guo · 2026

Agent orchestration frameworks -- LangGraph, CrewAI, Google ADK, OpenAI Agents SDK, and others -- place an external orchestrator above the LLM, tracking state and injecting routing instructions at eve…

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AI & Data Science Preprint PDF DOI

Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

Yuxi Ma, Jieming Cui, Muyang Li, Ye Zhao, Yu Li, Yixuan Wang, Chi Zhang, Yinyin Zang, Yixin Zhu · 2026

How people narrate their experiences offers a window into how the mind organizes them. Computational approaches to therapeutic writing have evolved from lexical counting to neural methods, yet remain …

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AI & Data Science Preprint PDF DOI

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures

Ishrak Hamim Mahi, Siam Ferdous, Md Sakib Sadman Badhon, Nabid Hasan Omi, Md Habibun Nabi Hemel, Farig Yousuf Sadeque, Md. Tanzim Reza · 2026

The rapid proliferation of image generation models and other artificial intelligence (AI) systems has intensified concerns regarding data privacy and user consent. As the availability of public datase…

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Computer Science Preprint PDF DOI

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He · 2026

Large language model (LLM)-based generative list-wise recommendation has advanced rapidly, but decoding remains sequential and thus latency-prone. To accelerate inference without changing the target d…

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Computer Science Preprint PDF DOI

Tail-aware N-version Machine Learning Models for Reliable API Recommendation

Aoi Matsuda, Fumio Machida, David Lo · 2026

Machine learning (ML)-based API recommendation helps developers efficiently identify suitable APIs to complement the application code. However, code datasets used to train ML models often exhibit a lo…

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Computer Science Preprint PDF DOI

BAss: Symbolic Reasoning in Abstract Dialectical Frameworks

Samuel Pastva, Van-Giang Trinh · 2026

We present BAss (BDD-based ADF symbolic solver), a novel analysis tool for Abstract Dialectical Frameworks (ADFs) based on Binary Decision Diagrams (BDDs). It supports the fully symbolic computation o…

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Chemistry Preprint PDF DOI

Relativistic Exact-Two-Component Core-Valence-Separated Algebraic Diagrammatic Construction Theory For Near L-edge X-ray Absorption Spectra

Somesh Chamoli, Sudipta Chakraborty, Xubo Wang, Achintya Kumar Dutta · 2026

We present an efficient implementation of the second-order two-component relativistic core-valence-separated algebraic diagrammatic construction method (CVS-ADC(2)) for core-excitation calculations. T…

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AI & Data Science Preprint PDF DOI

Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift

Haiyang Zhao · 2026

Visual model-based reinforcement learning (MBRL) agents can perform well on the training distribution, but often break down once the test environment shifts. In visual MBRL, recognizing that a shift h…

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Mathematics Preprint PDF DOI

Characterizations of amorphic association schemes in terms of fusing triples

Yanzhen Xiong · 2026

Let $\mathcal{R}$ be an association scheme with nontrivial relations $A_1,\ldots,A_d$. We call $\mathcal{R}$ amorphic if every possible fusion of its nontrivial relations gives rise to a fusion scheme…

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AI & Data Science Preprint PDF DOI

JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification

Phan Nguyen, Dat Cao, Quang Hien Kha, Hien Chu, Minh H. N. Le, Trang Quoc Thao Pham, Nguyen Quoc Khanh Le · 2026

Skin lesion classification is essential for early dermatological diagnosis, yet many existing computer-aided systems rely primarily on dermoscopic images and underutilize the multimodal evidence routi…

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Mathematics Preprint PDF DOI

The maximum size of the partial ground set of skew Bollob\'{a}s systems

Yu Fang, Tao Feng, Xiaomiao Wang · 2026

A skew Bollob\'{a}s system $\mathcal{P}=\{(A_i,B_i):1\leq i\leq m\}$ is a collection of pairs of disjoint subsets of $[n]$ such that $A_i\cap B_j\ne\emptyset$ for any $1\leq i<j\leq m$. Denote by $S_1…

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte · 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge va…

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Physics Preprint PDF DOI

Active Galactic Nucleus Feedback in an Elliptical Galaxy. IV. The Importance of the Jet Wind Coupling

Minhang Guo, Feng Yuan, Suoqing Ji, Bocheng Zhu · 2026

This is the fourth paper of our series investigating the effects of active galactic nucleus (AGN) feedback in the evolution of an elliptical galaxy using the {\it MACER} framework. While previous work…

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Physics Preprint PDF DOI

Improved n=1 Empirical Error Field Penetration Threshold Scaling with Ohmic and L-Mode Conventional Tokamak Plasma Discharges

E.M. Bursch, J.K. Park, N.C. Logan, F. Mao, N. Wang, C.F.B. Zimmermann, R.J. Buttery, C. Paz-Soldan, M. Pharr, L. Piron, G. Szepesi, H. Wang, S.M. Yang, JET Contributors, EUROfusion Tokamak Exploitation Team · 2026

This paper presents an updated n=1 error field penetration threshold scaling, which increases fit quality compared to previous error field scaling laws, is produced from an expanded database, and exhi…

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Mathematics Preprint PDF DOI

Asymptotic Vanishing of Stiefel--Whitney Classes for $\mathrm{GL}_n(\mathbb{F}_q)$

Anwesh Ray · 2026

We study the asymptotic behavior of Stiefel--Whitney classes of irreducible orthogonal representations of the finite general linear groups $\mathrm{GL}_n(\mathbb{F}_q)$. Building on recent formulas ex…

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AI & Data Science Preprint PDF DOI

Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrapping

Tobias Bystrich, Julia M. Pritzen, Christoph A. Schmidt, Claudia Wich-Reif · 2026

In the field of universal automatic phonetic transcription (APT), clean and diverse training transcriptions are required. However, such high-quality data is limited. We propose the bootstrapping appro…

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AI & Data Science Preprint PDF DOI

Linear Models, Variable Selection, Artificial Intelligence

By Riyadh Alrawkan, Edward Boone, Ryad Ghanam, Anton Westveld · 2026

Variable selection in linear regression models has been a problem since hypothesis testing began. Which variables to include or exclude from a model is not an easy task. Techniques such as Forward, Ba…

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