Tootfinder

An object-centric core metamodel for IoT-enhanced event logs
Yannis Bertrand, Christian Imenkamp, Lukas Malburg, Matthias Ehrendorfer, Marco Franceschetti, Joscha Gr\"uger, Francesco Leotta, J\"urgen Mangler, Ronny Seiger, Agnes Koschmider, Stefanie Rinderle-Ma, Barbara Weber, Estefania Serral
https://arxiv.org/abs/250…

An object-centric core metamodel for IoT-enhanced event logs
Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT dat…

Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
Murtaza Rangwala, Richard O. Sinnott, Rajkumar Buyya
https://arxiv.org/abs/2506.19260

Network Structures as an Attack Surface: Topology-Based Privacy Leakage in Federated Learning
Federated learning systems increasingly rely on diverse network topologies to address scalability and organizational constraints. While existing privacy research focuses on gradient-based attacks, the privacy implications of network topology knowledge remain critically understudied. We conduct the first comprehensive analysis of topology-based privacy leakage across realistic adversarial knowledge scenarios, demonstrating that adversaries with varying degrees of structural knowledge can infer s…

Analyst Likes the Tone that Raiders HC Pete Carroll is Setting https://www.si.com/nfl/raiders/las-vegas-pete-carroll-training-camp-kansas-city-chiefs

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
https://arxiv.org/abs/2507.18584

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Despite the impressive performance of large language models (LLMs) in general domains, they often underperform in specialized domains. Existing approaches typically rely on data synthesis methods and yield promising results by using unlabeled data to capture domain-specific features. However, these methods either incur high computational costs or suffer from performance limitations, while also demonstrating insufficient generalization across different tasks. To address these challenges, we prop…

Cowboys Tyler Booker can't even turn off the aggression during youth camp https://www.si.com/nfl/cowboys/news/cowboys-tyler-booker-can-t-even-turn-off-the-aggression-during-youth-camp

DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
Edoardo Alberto Dominici, Jozef Hladky, Floor Verhoeven, Lukas Radl, Thomas Deixelberger, Stefan Ainetter, Philipp Drescher, Stefan Hauswiesner, Arno Coomans, Giacomo Nazzaro, Konstantinos Vardis, Markus Steinberger
https://arxiv.org/abs/2506.20367

DreamAnywhere: Object-Centric Panoramic 3D Scene Generation
Recent advances in text-to-3D scene generation have demonstrated significant potential to transform content creation across multiple industries. Although the research community has made impressive progress in addressing the challenges of this complex task, existing methods often generate environments that are only front-facing, lack visual fidelity, exhibit limited scene understanding, and are typically fine-tuned for either indoor or outdoor settings. In this work, we address these issues and …

Assessing the accuracy of the GENIE event generator with electron scattering data: Reduced cross section and nuclear transparency
A. V. Butkevich, S. V. Luchuk
https://arxiv.org/abs/2506.19355

Assessing the accuracy of the GENIE event generator with electron scattering data: Reduced cross section and nuclear transparency
The reduced cross sections of the semi-exclusive $(l,l'p)$ lepton scattering process can be identified with distorted nuclear spectral functions. Irrespective of the type of interaction the distorted spectral function is determined mainly by intrinsic properties of the target and the ejected nucleon interaction with residual nucleus. Thus the reduced cross sections of the neutrino and electron scattering on nuclei as functions of nucleon missing momentum and energy are similar up to Coulomb cor…

On the reconstruction map in JT gravity
Chris Akers, Andrew Lucas, Amit Vikram
https://arxiv.org/abs/2506.18975 https://arxiv.org/pdf…

On the reconstruction map in JT gravity
An open question in AdS/CFT is how to reconstruct semiclassical bulk operators precisely enough that non-perturbative quantum effects can be computed. We propose a set of physically-motivated requirements for such a reconstruction map, and explicitly construct a map satisfying these requirements in Jackiw-Teitelboim (JT) gravity. Our map is found by canonically quantizing "action-angle" variables for JT gravity, which are chosen to ensure that the spectrum of the fundamental quantum theory matc…

2024: in der EU soll besser vor Vergewaltigung geschützt und #JaHeißtJa als Standard gesetzt werden. Aber die #FDP in der Bundesregierung blockiert und Deutschland geht zusammen mit Frankreich dagegen.

Richtlinie zu Gewalt gegen Frauen: Warum Deutschland kein EU-Gesetz gegen Vergewaltigung will
Es begann als ambitioniertes Vorhaben der EU-Kommission gegen sexualisierte Gewalt. Bei den heutigen Trilog-Verhandlungen droht jedoch ein Debakel. Ausgerechnet Deutschland blockiert eine europaweite Regelung gegen Vergewaltigung. Und der Rat möchte den besseren Schutz vor bildbasierter Gewalt und Deepfakes verwässern.

A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy
Fabian Key, Lukas Freinberger
https://arxiv.org/abs/2506.19534 ht…

A Spline-Based Stress Function Approach for the Principle of Minimum Complementary Energy
In computational engineering, ensuring the integrity and safety of structures in fields such as aerospace and civil engineering relies on accurate stress prediction. However, analytical methods are limited to simple test cases, and displacement-based finite element methods (FEMs), while commonly used, require a large number of unknowns to achieve high accuracy; stress-based numerical methods have so far failed to provide a simple and effective alternative. This work aims to develop a novel nume…