Tootfinder

MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
Alexandru-Andrei Avram, Adrian Groza, Alexandru Lecu
https://arxiv.org/abs/2508.10143 https://

MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
The large spread of disinformation across digital platforms creates significant challenges to information integrity. This paper presents a multi-agent system that uses relation extraction to detect disinformation in news articles, focusing on titles and short text snippets. The proposed Agentic AI system combines four agents: (i) a machine learning agent (logistic regression), (ii) a Wikipedia knowledge check agent (which relies on named entity recognition), (iii) a coherence detection agent (u…

The latest in the #WordPress drama...
https://joost.blog/path-forward-for-wordpress/

A new path forward for WordPress, and for the open web
Back in December, I wrote about the state of leadership in the WordPress ecosystem. I shared how too much power rests with one person, and how the lack of clear governance puts contributors and businesses alike in difficult positions. That post ended with a call: we need to lead. That wasn’t rhetorical. It was a ... Read more

NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization
Zongtao He, Liuyi Wang, Lu Chen, Chengju Liu, Qijun Chen
https://arxiv.org/abs/2507.10894

NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization
Language-guided navigation is a cornerstone of embodied AI, enabling agents to interpret language instructions and navigate complex environments. However, expert-provided instructions are limited in quantity, while synthesized annotations often lack quality, making them insufficient for large-scale research. To address this, we propose NavComposer, a novel framework for automatically generating high-quality navigation instructions. NavComposer explicitly decomposes semantic entities such as act…

As an OEM, I want to make my customers angry, so that they keep knocking on my RCE vulns.
https://mrbruh.com/asus_p2/

Adaptive finite element type decomposition of Gaussian processes
Jaehoan Kim, Anirban Bhattacharya, Debdeep Pati
https://arxiv.org/abs/2505.24066 https://

Adaptive finite element type decomposition of Gaussian processes
In this paper, we investigate a class of approximate Gaussian processes (GP) obtained by taking a linear combination of compactly supported basis functions with the basis coefficients endowed with a dependent Gaussian prior distribution. This general class includes a popular approach that uses a finite element approximation of the stochastic partial differential equation (SPDE) associated with Matérn GP. We explored another scalable alternative popularly used in the computer emulation literatu…

Two-photon emission from uniform acceleration: Unruh excitation, radiative decay, and field entanglement
Arash Azizi
https://arxiv.org/abs/2507.22164 https://

Two-photon emission from uniform acceleration: Unruh excitation, radiative decay, and field entanglement
We analyze the two-photon emission process of a uniformly accelerated Unruh-DeWitt detector interacting with a massless scalar field in Minkowski spacetime. Using second-order perturbation theory, we derive the exact final quantum state of the field and classify the emitted photon pairs according to their directional decomposition into Unruh modes: right-right (RR), left-left (LL), and mixed (RL/LR) channels. The RR and LL contributions produce photon pairs within a single Rindler wedge, while …

Practical and Accurate Local Edge Differentially Private Graph Algorithms
Pranay Mundra, Charalampos Papamanthou, Julian Shun, Quanquan C. Liu
https://arxiv.org/abs/2506.20828

Practical and Accurate Local Edge Differentially Private Graph Algorithms
The rise of massive networks across diverse domains necessitates sophisticated graph analytics, often involving sensitive data and raising privacy concerns. This paper addresses these challenges using local differential privacy (LDP), which enforces privacy at the individual level, where no third-party entity is trusted, unlike centralized models that assume a trusted curator. We introduce novel LDP algorithms for two fundamental graph statistics: k-core decomposition and triangle counting. Our…

Nonlinear Gravitational Memory in the Post-Minkowskian Expansion
Alessandro Georgoudis, Vasco Goncalves, Carlo Heissenberg, Julio Parra-Martinez
https://arxiv.org/abs/2506.20733

Nonlinear Gravitational Memory in the Post-Minkowskian Expansion
We present the first computation of the nonlinear gravitational memory waveform for the scattering of two compact objects in General Relativity at leading order in the post-Minkowskian expansion. We use the scattering-amplitudes-based representation of the gravitational waveform, which naturally expresses the nonlinear memory as the contribution of soft gravitons emitted by the gravitational waves themselves. We perform the calculation by applying a multipolar decomposition to the waveform and …