Tootfinder

VehiclePassport: A GAIA-X-Aligned, Blockchain-Anchored Privacy-Preserving, Zero-Knowledge Digital Passport for Smart Vehicles
Pradyumna Kaushal
https://arxiv.org/abs/2509.06133 …

VehiclePassport: A GAIA-X-Aligned, Blockchain-Anchored Privacy-Preserving, Zero-Knowledge Digital Passport for Smart Vehicles
Modern vehicles accumulate fragmented lifecycle records across OEMs, owners, and service centers that are difficult to verify and prone to fraud. We propose VehiclePassport, a GAIA-X-aligned digital passport anchored on blockchain with zero-knowledge proofs (ZKPs) for privacy-preserving verification. VehiclePassport immutably commits to manufacturing, telemetry, and service events while enabling selective disclosure via short-lived JWTs and Groth16 proofs. Our open-source reference stack anchor…

Groß, größer, Schwedens Solarpark! 🌱 ☀️☀️☀️
Der größte Solarpark des Landes ist jetzt mit voller Leistung am Netz - ein beeindruckendes Projekt, das zeigt, wie Flughafenflächen sinnvoll für die Energiewende genutzt werden können.
Zum Artikel: https://hei…

Using LLMs for Multilingual Clinical Entity Linking to ICD-10
Sylvia Vassileva, Ivan Koychev, Svetla Boytcheva
https://arxiv.org/abs/2509.04868 https://arx…

Using LLMs for Multilingual Clinical Entity Linking to ICD-10
The linking of clinical entities is a crucial part of extracting structured information from clinical texts. It is the process of assigning a code from a medical ontology or classification to a phrase in the text. The International Classification of Diseases - 10th revision (ICD-10) is an international standard for classifying diseases for statistical and insurance purposes. Automatically assigning the correct ICD-10 code to terms in discharge summaries will simplify the work of healthcare prof…

🇺🇦 Auf radioeins läuft...
Jefferson Airplane:
🎵 White Rabbit
#NowPlaying #JeffersonAirplane
https://atavismo.bandcamp.com/track/jefferson-airplanes-white-rabbit
https://open.spotify.com/track/4vpeKl0vMGdAXpZiQB2Dtd

Black-hole mass estimation through accretion disk spectral fitting for high-redshift blazars
G. Kyriopoulos, M. Petropoulou, G. Vasilopoulos, D. Hatzidimitriou
https://arxiv.org/abs/2509.06933

Black-hole mass estimation through accretion disk spectral fitting for high-redshift blazars
High-redshift ($z>2$) blazars, with relativistic jets aligned toward us, probe the most powerful end of the active galactic nuclei (AGN) population. We aim at determining the black hole masses and mass accretion rates of high-$z$ blazars in a common framework that utilizes a Markov Chain Monte Carlo (MCMC) fitting method and the Shakura-Sunayev multi-temperature accretion disk model, accounting also for attenuation due to neutral hydrogen gas in the intergalactic medium (IGM). We compiled a sam…

Prescribed $p$-curvature problem on Riemannian manifolds with negative curvature
Jiaogen Zhang
https://arxiv.org/abs/2510.06577 https://arxiv.org/pdf/2510.…

Prescribed $p$-curvature problem on Riemannian manifolds with negative curvature
Let $(N,g)$ be a compact Riemannian manifold with negative curvature of dimension $n\geq 3$. This paper investigates the prescribed curvature problem defined by the $p$-fold sum of the modified Shouten tensor for $1\leq p\leq n$. As an application, we establish the existence of a metric $\tilde{g}$ conformal to $g$ such that \[ \mathcal{M}_{p}(\mathrm{Ric}_{\tilde{g}})=constant. \] In the case $p=1$, this resolves a well-known result of Gursky and Viaclovsky [Indiana Univ. Math. J. 52 (2003), n…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Arvo Pärt, Jauna Muzika & Vaclovas Augustinas:
🎵 Magnificat
#ArvoPärt #JaunaMuzika #VaclovasAugustinas

Gestern abend war der Mond schon fast voll. Habe ein Vogelpärchen mit fotografiert. #photography #fotografie #moon

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
Paul Gavrikov, Wei Lin, M. Jehanzeb Mirza, Soumya Jahagirdar, Muhammad Huzaifa, Sivan Doveh, Serena Yeung-Levy, James Glass, Hilde Kuehne
https://arxiv.org/abs/2509.25339

VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes
Is basic visual understanding really solved in state-of-the-art VLMs? We present VisualOverload, a slightly different visual question answering (VQA) benchmark comprising 2,720 question-answer pairs, with privately held ground-truth responses. Unlike prior VQA datasets that typically focus on near global image understanding, VisualOverload challenges models to perform simple, knowledge-free vision tasks in densely populated (or, overloaded) scenes. Our dataset consists of high-resolution scans …

In der Zeit, in der ihr diesen Post lest, hat China wahrscheinlich schon wieder ein paar Megawatt Solarleistung installiert... 😅
Zum Artikel: https://heise.de/-11056816?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&…