Papers
Research papers from arXiv and related sources
Binary Black Hole inspirals cannot hide their eccentricity
The events detected by the LIGO Virgo KAGRA collaboration over a period of 10 years have yielded a treasure trove of signals from compact binary coalescences. None of these events have shown a conf...
Johann Fernandes, Praveer Tiwari, Archana Pai
RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation
RGB-Thermal (RGB-T) semantic segmentation is essential for robotic systems operating in low-light or dark environments. However, traditional approaches often overemphasize modality balance, resulti...
Kunyu Tan, Mingjian Liang
A detailed analysis of possible new-physics effects in semileptonic decays $B_s \to D_s^{(*)}τ\barν$
We study the semileptonic decays $B_s \to D_s^{(*)}τ\barν$ as a promising probe for new physics (NP) beyond the standard model (SM). The extension of the SM is done through the introduction of four...
Mikhail A. Ivanov, Jignesh N. Pandya, Pietro Santorelli, Nakul R. Soni, Chien-Thang Tran, Hai-Cat...
From Verification to Amplification: Auditing Reverse Image Search as Algorithmic Gatekeeping in Visual Misinformation Fact-checking
As visual misinformation becomes increasingly prevalent, platform algorithms act as intermediaries that curate information for users' verification practices. Yet, it remains unclear how algorithmic...
Cong Lin, Yifei Chen, Jiangyue Chen, Yingdan Lu, Yilang Peng, Cuihua Shen
PM-Nav: Priori-Map Guided Embodied Navigation in Functional Buildings
Existing language-driven embodied navigation paradigms face challenges in functional buildings (FBs) with highly similar features, as they lack the ability to effectively utilize priori spatial kno...
Jiang Gao, Xiangyu Dong, Haozhou Li, Haoran Zhao, Yaoming Zhou, Xiaoguang Ma
Dynamic Stability Assessment of Grid-Connected Data Centers Powered by Small Modular Reactors
The accelerating growth of computational demand in modern data centers has further heightened the need for power infrastructures that are highly reliable, environmentally sustainable, and capable o...
Sobhan Badakhshan, Roshni Anna Jacob, Ali Mahboub Rad, Chao Pan, Yaoyu Li, Jie Zhang
Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
Batteries with silicon-graphite-based anodes, which offer higher energy density and improved charging performance, introduce pronounced voltage hysteresis, making state-of-charge (SoC) estimation p...
Runyao Yu, Viviana Kleine, Philipp Gromotka, Thomas Rudolf, Adrian Eisenmann, Gautham Ram Chandra...
Provably Safe Trajectory Generation for Manipulators Under Motion and Environmental Uncertainties
Robot manipulators operating in uncertain and non-convex environments present significant challenges for safe and optimal motion planning. Existing methods often struggle to provide efficient and f...
Fei Meng, Zijiang Yang, Xinyu Mao, Haobo Liang, Max Q. -H. Meng
A multi-phase-field model for fiber-reinforced composite laminates based on puck failure theory
This article proposes a multi-phase-field model using the Puck failure theory to predict the failure in fiber-reinforced composites (FRCs) laminates. Specifically, this work proposes a two-dimensio...
Pavan Kumar Asur Vijaya Kumar, Rafael Fleischhacker, Aamir Dean, Heinz E Pettermann
Time-dependent photospheric radiative transfer in structured GRB jets: spectral evolution and polarization diagnostics
Photospheric emission from relativistic gamma-ray burst (GRB) jets is a promising mechanism for producing the Band-like spectra observed in the prompt phase, yet the connections between jet structu...
Yue Xu, Ming Jin, Qingwen Tang
Distribution-free screening of spatially variable genes in spatial transcriptomics
Spatial transcriptomics (ST) technologies enable transcriptome-wide gene expression profiling while preserving spatial resolution, offering unprecedented opportunities to uncover complex spatial st...
Changhu Wang, Qiyun Huang, Zihao Chen, Jin Liu, Ruibin Xi
AgroDesign: A Design-Aware Statistical Inference Framework for Agricultural Experiments in Python
Statistical analysis of agricultural experiments is based on structured experimental designs such as randomized block, factorial, split-plot, and multi-environment trials. While the theoretical bas...
Aqib Gul
Critical stationary fluctuations in reaction--diffusion processes
We study stationary fluctuations at criticality for a one-dimensional reaction--diffusion process combining symmetric simple exclusion dynamics with Glauber-type spin flips. The strength of the Gla...
Luis Cardoso, Claudio Landim, Kenkichi Tsunoda
Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
Like classical software, quantum software systems rely on automated testing. However, their inherently probabilistic outputs make them susceptible to quantum flakiness -- tests that pass or fail in...
Janakan Sivaloganathan, Ainaz Jamshidi, Andriy Miranskyy, Lei Zhang
Lockbox -- A Zero Trust Architecture for Secure Processing of Sensitive Cloud Workloads
Enterprises increasingly rely on cloud-based applications to process highly sensitive data artifacts. Although cloud adoption improves agility and scalability, it also introduces new security chall...
Vamshi Krishna Thotempudi, Mahima Agarwal, Raghav Batta, Anjali Mangal
FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language Models
CLIP-based prompt tuning enables pretrained Vision-Language Models (VLMs) to efficiently adapt to downstream tasks. Although existing studies have made significant progress, they pay limited attent...
Haoyang Li, Liang Wang, Siyu Zhou, Jiacheng Sun, Jing Jiang, Chao Wang, Guodong Long, Yan Peng
Impermanent: A Live Benchmark for Temporal Generalization in Time Series Forecasting
Recent advances in time-series forecasting increasingly rely on pre-trained foundation-style models. While these models often claim broad generalization, existing evaluation protocols provide limit...
Azul Garza, Renée Rosillo, Rodrigo Mendoza-Smith, David Salinas, Andrew Robert Williams, Arjun As...
Agentic Critical Training
Training large language models (LLMs) as autonomous agents often begins with imitation learning, but it only teaches agents what to do without understanding why: agents never contrast successful ac...
Weize Liu, Minghui Liu, Sy-Tuyen Ho, Souradip Chakraborty, Xiyao Wang, Furong Huang
Evaluating Financial Intelligence in Large Language Models: Benchmarking SuperInvesting AI with LLM Engines
Large language models are increasingly used for financial analysis and investment research, yet systematic evaluation of their financial reasoning capabilities remains limited. In this work, we int...
Akshay Gulati, Kanha Singhania, Tushar Banga, Parth Arora, Anshul Verma, Vaibhav Kumar Singh, Agy...
A Multi-Objective Optimization Approach for Sustainable AI-Driven Entrepreneurship in Resilient Economies
The rapid advancement of artificial intelligence (AI) technologies presents both unprecedented opportunities and significant challenges for sustainable economic development. While AI offers transfo...
Anas ALsobeh, Raneem Alkurdi