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Physics Preprint PDF DOI

Intrinsic anomalous thermal hall effect as a signature of quantum metric in d-wave altermagnets

Rishi G. Gopalakrishnan, Srimayi Korrapati, Sumanta Tewari · 2026

We investigate the intrinsic anomalous thermal Hall effect in d-wave altermagnets, where a transverse heat current is generated by a longitudinal temperature gradient in the absence of a magnetic fiel…

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AI & Data Science Preprint PDF DOI

Stop Holding Your Breath: CT-Informed Gaussian Splatting for Dynamic Bronchoscopy

Andrea Dunn Beltran, Daniel Rho, Aarav Mehta, Xinqi Xiong, Raul San Jose Estepar, Ron Alterovitz, Marc Niethammer, Roni Sengupta · 2026

Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-body divergence that limits localization…

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AI & Data Science Preprint PDF DOI

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Lincan Li, Zheng Chen, Yushun Dong · 2026

Electroencephalogram (EEG) signals are vital for automated seizure detection, but their inherent noise makes robust representation learning challenging. Existing graph construction methods, whether co…

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Engineering Preprint PDF DOI

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

Tim Missal, Lucas Domingues, Berk Guler, Simon Manschitz, Jan Peters, Paula Dornhofer Paro Costa · 2026

The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible structures and the complexity of maintaining topolo…

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Physics Preprint PDF DOI

Mapping data sensitivities in global QCD analysis with linear response and influence functions

Richard Whitehill · 2026

Global QCD analyses provide the primary framework for extracting hadron structure from experimental data, yet the mechanisms by which data constrain non-perturbative functions remain difficult to inte…

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Mathematics Preprint PDF DOI

Beyond first-order accuracy in continuous-forcing immersed boundary methods, and their well-conditioned projection-based solution

Diederik Beckers, H. Jane Bae, Andres Goza · 2026

We introduce a refined immersed boundary (IB) methodology that is better-than-first-order accurate in practice, while preserving key properties of "continuous-forcing" IB approaches that retain a sing…

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Engineering Preprint PDF DOI

Design and Characteristics of a Thin-Film ThermoMesh for the Efficient Embedded Sensing of a Spatio-Temporally Sparse Heat Source

Sajjad Boorghan Farahan, Ahmed Alajlouni, Jingzhou Zhao · 2026

This work presents ThermoMesh, a passive thin-film thermoelectric mesh sensor designed to detect and characterize spatio-temporally sparse heat sources through conduction-based thermal imaging. The de…

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Physics Preprint PDF DOI

Strong coupling between quantized magnon modes in a YIG microstucture and microwaves in a superconducting resonator

Seth W. Kurfman, Philipp Geyer, Anoop Kamalasanan, Karl Heimrich, Kwangyul Hu, Paul Tharnier, Frank Heyroth, Michael Flatte, Georg Schmidt · 2026

Strong-coupling experiments based on magnons enable the exploration into on-chip demonstrations involving numerous long-lived excitations. Yttrium iron garnet (YIG) has been considered for decades as …

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Computer Science Preprint PDF DOI

Index-Assisted Stratified Sampling for Online Aggregation

Yunnan Yu, Zhuoyue Zhao · 2026

Ad-hoc queries over frequently updated data in a flat schema are common in real-time data analysis applications and often require very low latency. Online aggregation can achieve so by providing appro…

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AI & Data Science Preprint PDF DOI

Do Sparse Autoencoders Capture Concept Manifolds?

Usha Bhalla, Thomas Fel, Can Rager, Sheridan Feucht, Tal Haklay, Daniel Wurgaft, Siddharth Boppana, Matthew Kowal, Vasudev Shyam, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana · 2026

Sparse autoencoders (SAEs) are widely used to extract interpretable features from neural network representations, often under the implicit assumption that concepts correspond to independent linear dir…

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Mathematics Preprint PDF DOI

A Scaled Gradient Modified Non-monotone Line Search Method for Constrained Optimization Problems

Qamrul Hasan Ansari, Feeroz Babu, D. R. Sahu, Jen Chih Yao · 2026

In this paper, we propose a scaled gradient modified non-monotone line search method for solving constrained minimization problems, and explore several specific properties of this method, namely, its …

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AI & Data Science Preprint PDF DOI

FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing

Arthur Correa, Paulo Nascimento, Samuel Moniz · 2026

Solving practical multi-depot vehicle routing problems (MDVRP) is a challenging optimization task central to modern logistics, increasingly driven by e-commerce. To address the MDVRP's computational c…

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AI & Data Science Preprint PDF DOI

UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation

Shuokun Cheng, Jinghao Shi, Kun Sun · 2026

Accurate lesion segmentation is crucial for clinical diagnosis and treatment planning. However, lesions often resemble surrounding tissues and exhibit ill-defined boundaries, leading to unstable predi…

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Physics Preprint PDF DOI

Observation of the Magnus Nonlinear Hall effect from Chiral Weyl Monopoles

Heda Zhang, Nikolai Peshcherenko, Ning Mao, Nianlong Zou, Jiaqiang Yan, Claudia Felser, Yang Zhang · 2026

The nonlinear Hall effect (NLHE) connects crystalline symmetry to quantum geometry, offering a probe of band topology beyond linear transport. While most studies have focused on the Berry curvature di…

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Physics Preprint PDF DOI

Giant Spin Magnetization from Quantum Geometry in Altermagnets

Neelanjan Chakraborti, Sudeep Kumar Ghosh, Snehasish Nandy · 2026

Altermagnets host spin-split band structures while exhibiting vanishing equilibrium spin magnetization, making field-induced responses a direct probe of their quantum geometry. A central question, in …

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Mathematics Preprint PDF DOI

Mean-square Stability and Bifurcations for Dissipative SDEs

C. Kelly, G. J. Lord, M. Ptashnyk, S. Sonner · 2026

We investigate the dynamics of dissipative systems with stochastic forcing and focus in particular on mean-square stability. First we show, under a natural condition on the drift and diffusion, that t…

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Mathematics Preprint PDF DOI

A near-optimal recovery algorithm for the Stokes equations with incomplete information on the boundary conditions

Andrea Bonito, Diane Guignard · 2026

We address the problem of numerically approximating the velocity and pressure governed by the Stokes system when the boundary conditions are only partially known and thus do not uniquely determine the…

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AI & Data Science Preprint PDF DOI

Data-Adaptive and Model-Robust Covariate Adjustment for Time-to-Event Outcomes in Stratified Randomized Trials

Raphael C. Kim, Brian Gilbert, Ramin Zabih, Michele Santacatterina, Ivan Diaz · 2026

Time-to-event outcomes are commonly used as primary endpoints in randomized clinical trials. Despite this, relatively little work incorporates baseline covariate information while also accounting for …

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AI & Data Science Preprint PDF DOI

Ease of dependency distance minimization in star-like structures

Emilia Garcia-Casademont, Ramon Ferrer-i-Cancho · 2026

The syntactic structure of a sentence can be represented as a tree where edges indicate syntactic dependencies between words. When that structure is a star, it has been demonstrated that the head shou…

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Mathematics Preprint PDF DOI

Gauge symmetry and uniqueness in inverse problems for the JMGT equation

Dong Qiu, Xiang Xu, Yeqiong Ye, Ting Zhou · 2026

In this paper, we study an inverse boundary value problem for the Jordan--Moore--Gibson--Thompson equation on a simple Riemannian manifold. We consider an all boundary measurement map that maps Dirich…

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