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AI & Data Science Preprint PDF DOI

Action Motifs: Self-Supervised Hierarchical Representation of Human Body Movements

Genki Kinoshita, Shu Nakamura, Ryo Kawahara, Shohei Nobuhara, Yasutomo Kawanishi, Ko Nishino · 2026

Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical representation consisting of Action Atoms tha…

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Physics Preprint PDF DOI

Unveiling the potential of NdPO4 magnetocaloric phases in cryogenic refrigeration

M. Balli, L. Attou, S-E. Bouzarmine, S. Oubad, K. El Maalam, P. Fournier, S. Mangin · 2026

The RPO4 orthophosphates (R = rare earth element) have recently attracted a wide interest due to the strong coupling between their electronic, orbital and structural ordering parameters resulting in a…

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AI & Data Science Preprint PDF DOI

Response to: "A note on conditional densities, Bayes' rule, and recent criticisms of Bayesian inference" by Yan et al., 2026

Klaus Mosegaard, Andrew Curtis · 2026

In a recent preprint (Mosegaard and Curtis, 2024, arXiv:2411.13570v2) we analyzed the consequences of ignoring the well-known inconsistency of classical conditional probability densities. We explained…

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Neuroscience Preprint PDF DOI

On Agentic Behavioral Modeling

Dirk Ostwald, Rasmus Bruckner, Franziska Usee, Belinda Fleischmann, Joram Soch, Sean Mulready · 2026

Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI mod…

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Computer Science Preprint PDF DOI

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

Xubin Luo, Yang Cheng · 2026

AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads can sometimes be executed away from the…

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Economics & Finance Preprint PDF DOI

Distributionally Robust Insurance under Bregman-Wasserstein Divergence

Wenjun Jiang, Qingqing Zhang, Yiying Zhang · 2026

This paper investigates two optimal insurance contracting problems under distributional uncertainty from the perspective of a potential policyholder, utilizing a Bregman-Wasserstein (BW) ball to chara…

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Physics Preprint PDF DOI

Chern number reversal and emergent superconductivity in rhombohedral graphene induced by in-plane magnetic fields

Xiaozhou Zan, Hangzhe Li, Jiawei Guo, Gengdong Zhou, Kangyao Chen, Cihan Gao, Zijun Xu, Kenji Watanabe, Takashi Taniguchi, Anqi Wang, Jie Shen, Jinsong Zhang, Zhida Song, Yayu Wang · 2026

Rhombohedral graphene with topological flat bands offers an ideal platform for realizing correlated and topological quantum phases. Here we investigate hBN aligned eight-layer rhombohedral graphene mo…

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Computer Science Preprint PDF DOI

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang, Bo Wu, Dongxin Liu · 2026

How code representation format shapes false positive behaviour in cross-language LLM vulnerability detection remains poorly understood. We systematically vary training intensity and code representatio…

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AI & Data Science Preprint PDF DOI

Math Education Digital Shadows for facilitating learning with LLMs: Math performance, anxiety and confidence in simulated students and AIs

Naomi Esposito, Anthony Tricarico, Luisa Porzio, Ali Aghazadeh Ardebili, Massimo Stella · 2026

To enhance LLMs' impact on math education, we need data on their mathematical prowess and biases across prompts. To fill this gap, we introduce MEDS (Math Education Digital Shadows) as a dataset mappi…

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Mathematics Preprint PDF DOI

Quantitative homogenization of the maximal action of curves in a Brownian potential

Felix Otto, Matteo Palmieri · 2026

Motivated by an optimal-matching problem (Leighton-Shor) and the random-field Ising model (Aizenman-Wehr, Ding-Wirth), we consider a variational problem for graphs in $1+1$ dimension maximizing an act…

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Engineering Preprint PDF DOI

Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives

Syed Pouladi · 2026

This paper addresses the stability analysis and state estimation of generalized Persidskii systems subject to time-varying delays and external disturbances. The generalized Persidskii class, which cou…

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AI & Data Science Preprint PDF DOI

Syntactically-guided Information Maintenance in Sentence Comprehension

Shinnosuke Isono, Kohei Kajikawa · 2026

Maintaining information in context is essential in successful real-time language comprehension, but maintenance is cognitively costly and can slow processing. We hypothesize that rational language use…

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AI & Data Science Preprint PDF DOI

Safe Bilevel Delegation (SBD): A Formal Framework for Runtime Delegation Safety in Multi-Agent Systems

Yuan Sun · 2026

As large language model (LLM) agents are deployed in high-stakes environments, the question of how safely to delegate subtasks to specialized sub-agents becomes critical. Existing work addresses multi…

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AI & Data Science Preprint PDF DOI

TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks

Ta-Yang Wang, Rajgopal Kannan, Viktor Prasanna · 2026

Heterogeneous graphs are widely used to model multi-relational systems, but missing node attributes remain a major bottleneck for downstream learning. In this paper, we identify and formalize type-dep…

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Physics Preprint PDF DOI

Propulsion and far-field hydrodynamics of linked-sphere microswimmers with viscoelastic deformability

Vimal Singh, Akash Choudhary · 2026

Viscoelasticity governs the locomotion strategies of deformable microorganisms, rendering it a fundamental mechanical property of microbial motility and an integral component in the design of envision…

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AI & Data Science Preprint PDF DOI

Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents

Mehmet Iscan · 2026

Large language model (LLM)-based coding agents increasingly rely on external memory to reuse prior debugging experience, repair traces, and repository-local operational knowledge. However, retrieved m…

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AI & Data Science Preprint PDF DOI

Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents

Anh Ta, Junjie Zhu, Shahin Shayandeh · 2026

Tool-calling agents are evaluated on tool selection, parameter accuracy, and scope recognition, yet LLM trajectory assessments remain inherently post-hoc. Disconnected from the active execution loop, …

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Computer Science Preprint PDF DOI

Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner · 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, ben…

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Physics Preprint PDF DOI

Dynamical delocalization in disordered 2D Chern insulators

Gianluca Panati, Constanza Rojas-Molina, Vincenzo Rossi · 2026

We show the existence of energies exhibiting dynamical delocalization in discrete 2D Chern insulators perturbed by a random potential in a general setting. Our proof exploits two main features of the …

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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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