Tootfinder

DeepGo: Predictive Directed Greybox Fuzzing
Peihong Lin, Pengfei Wang, Xu Zhou, Wei Xie, Gen Zhang, Kai Lu
https://arxiv.org/abs/2507.21952 https://arxiv.o…

DeepGo: Predictive Directed Greybox Fuzzing
The state-of-the-art DGF techniques redefine and optimize the fitness metric to reach the target sites precisely and quickly. However, optimizations for fitness metrics are mainly based on heuristic algorithms, which usually rely on historical execution information and lack foresight on paths that have not been exercised yet. Thus, those hard-to-execute paths with complex constraints would hinder DGF from reaching the targets, making DGF less efficient. In this paper, we propose DeepGo, a predi…

A Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
Samiul Based Shuvo, Taufiq Hasan
https://arxiv.org/abs/2507.20408 https://

A Multi-Stage Hybrid CNN-Transformer Network for Automated Pediatric Lung Sound Classification
Automated analysis of lung sound auscultation is essential for monitoring respiratory health, especially in regions facing a shortage of skilled healthcare workers. While respiratory sound classification has been widely studied in adults, its ap plication in pediatric populations, particularly in children aged <6 years, remains an underexplored area. The developmental changes in pediatric lungs considerably alter the acoustic proper ties of respiratory sounds, necessitating specialized classifi…

Slomads Rising: Stay Length Shifts in Digital Nomad Travel, United States 2019-2024
Harrison Katz, Erica Savage
https://arxiv.org/abs/2507.21298 https://ar…

Slomads Rising: Stay Length Shifts in Digital Nomad Travel, United States 2019-2024
Using every U.S. Airbnb reservation created from 1 January 2019 through 31 December 2024, weighted by nights booked, we document a lasting shift toward longer stays after the COVID 19 shock. Mean nights per booking rose from 3.7 before the pandemic to a stable 4.1 to 4.4 after 2021; the median increased from two to three nights and the weighted standard deviation nearly doubled to seven nights, indicating a heavier tail. Negative binomial regression shows that, relative to the restriction perio…

Multiple-Nanowire Superconducting Quantum Interference Devices: Critical Currents, Symmetries, and Vorticity Stability Regions
Cliff Sun, Alexey Bezryadin
https://arxiv.org/abs/2505.23095

Multiple-Nanowire Superconducting Quantum Interference Devices: Critical Currents, Symmetries, and Vorticity Stability Regions
An ordinary superconducting quantum interference device (SQUID) contains two weak links connected in parallel. We model a multiple-wire SQUID (MW-SQUID), generalized in two ways. First, the number of weak links, which are provided by parallel superconducting nanowires, is larger than two. Second, the current-phase relationship of each nanowire is assumed linear, which is typical for a homogeneous superconducting thin wire. For such MW-SQUIDs, our model predicts that the critical current ($I_c$)…

SDSS-IV MaNGA: Physical Origins of Double-Peaked Narrow Emission-Line Spaxels in Barred Galaxies
Jiajie Qiu, Shiyin Shen, Ruixiang Chang, Qianwen Zhao, Qi Zeng
https://arxiv.org/abs/2507.21512

SDSS-IV MaNGA: Physical Origins of Double-Peaked Narrow Emission-Line Spaxels in Barred Galaxies
The physical origins of double-peaked narrow emission-line spaxels (DPSs) in barred galaxies are explored through the analysis of a sample of 72 barred double-peaked emission-line galaxies (DPGs) extracted from the MaNGA dataset. In this study, we examine two potential scenarios: the gas inflow along the bar and the formation of a bar-induced gaseous nuclear ring. By applying a classical galactic dynamics model, we calculate the radii and rotational velocities of the nuclear rings for all barre…

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Anilkumar Swamy, Vincent Leroy, Philippe Weinzaepfel, Jean-S\'ebastien Franco, Gr\'egory Rogez
https://arxiv.org/abs/2508.16465

HOSt3R: Keypoint-free Hand-Object 3D Reconstruction from RGB images
Hand-object 3D reconstruction has become increasingly important for applications in human-robot interaction and immersive AR/VR experiences. A common approach for object-agnostic hand-object reconstruction from RGB sequences involves a two-stage pipeline: hand-object 3D tracking followed by multi-view 3D reconstruction. However, existing methods rely on keypoint detection techniques, such as Structure from Motion (SfM) and hand-keypoint optimization, which struggle with diverse object geometrie…

Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes
Trent Weiss, Madhur Behl
https://arxiv.org/abs/2507.18819 https://

Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes
Overtaking in high-speed autonomous racing demands precise, real-time estimation of collision risk; particularly in wheel-to-wheel scenarios where safety margins are minimal. Existing methods for collision risk estimation either rely on simplified geometric approximations, like bounding circles, or perform Monte Carlo sampling which leads to overly conservative motion planning behavior at racing speeds. We introduce the Gauss-Legendre Rectangle (GLR) algorithm, a principled two-stage integratio…

Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics
Simone D'Agostino, Marco Massarotto, Tristan Torchet, Filippo Moro, Niccol\`o Castellani, Laurent Grenouillet, Yann Beilliard, David Esseni, Melika Payvand, Elisa Vianello
https://arxiv.org/abs/2506.22227

Unified Memcapacitor-Memristor Memory for Synaptic Weights and Neuron Temporal Dynamics
We present a fabricated and experimentally characterized memory stack that unifies memristive and memcapacitive behavior. Exploiting this dual functionality, we design a circuit enabling simultaneous control of spatial and temporal dynamics in recurrent spiking neural networks (RSNNs). Hardware-aware simulations highlight its promise for efficient neuromorphic processing.

Reconciling Fractional Power Potential and EGB Gravity in the light of ACT
Mehnaz Zahoor, Suhail Khan, Imtiyaz Ahmad Bhat
https://arxiv.org/abs/2507.18684 https://

Reconciling Fractional Power Potential and EGB Gravity in the light of ACT
Recent results from the ACT collaboration indicate a higher value for the scalar spectral index, with $n_s = 0.9743 \pm 0.0034$, which sets tighter constraints on inflationary models, and these shifts are not in favor of many pre existing scenarios, including the widely studied and accepted standard Starobinsky model. In this paper, we examine the fractional power scalar potential within the framework of Einstein Gauss Bonnet (EGB) gravity, incorporating standard slow roll approximation. The EG…

The Influence of Code Comments on the Perceived Helpfulness of Stack Overflow Posts
Kathrin Figl, Maria Kirchner, Sebastian Baltes, Michael Felderer
https://arxiv.org/abs/2508.19610

The Influence of Code Comments on the Perceived Helpfulness of Stack Overflow Posts
Question-and-answer platforms such as Stack Overflow have become an important way for software developers to share and retrieve knowledge. However, reusing poorly understood code can lead to serious problems, such as bugs or security vulnerabilities. To better understand how code comments affect the perceived helpfulness of Stack Overflow answers, we conducted an online experiment simulating a Stack Overflow environment (n=91). The results indicate that both block and inline comments are percei…