Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Essential Logic:
🎵 World Friction
#EssentialLogic
https://essentiallogic.bandcamp.com/track/world-friction
https://open.spotify.com/track/0V3FCyX3XYTPK8bWTex6jN

Übernachtungsdienstleister Numa: CCC findet gesammelte Ausweisdaten
Ein Mitglied des Chaos Computer Clubs wollte eigentlich nur übernachten – und fand eine vollständige Kundendatensammlung.
ht…

Lil Kalish: "A New Orleans family traveled to Chicago 3x in two years. An Alabama mom took her son to Spain. These are the lengths families of trans youth have gone for gender-affirming care after state bans. SCOTUS is expected to rule on whether these bans can stay in place. www.huffpost.com/entry/this-s..." — Bluesky
https://bsky.app/profile/did:plc:egn4tb6zejhdgbr4ey464vsk/post/3lregvpv3dc2i

BZ110 Blogosphäre – https://buzzzoom.de/110/
Was bedeutet eigentlich Blogosphäre?

BZ110 Blogosphäre - BuzzZoom.de
Was bedeutet eigentlich Blogosphäre?

Spin-orbit misalignment and residual eccentricity are evidence that neutron star-black hole mergers form through triple star evolution
Jakob Stegmann, Jakub Klencki
https://arxiv.org/abs/2506.09121

Spin-orbit misalignment and residual eccentricity are evidence that neutron star-black hole mergers form through triple star evolution
There is growing evidence that a substantial fraction of the neutron star-black holes (NSBHs) detected through gravitational waves merge with non-zero eccentricity or large BH spin-orbit misalignment. This is in tension with the leading formation scenarios to date. Residual eccentricity rules out formation through isolated binary star evolution, while NS natal kicks and the unequal masses of NSBHs inhibit efficient pairing in dense stellar environments. Here, we report that all observed propert…

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Pietro Locatelli, Elizabeth Wallfisch, Raglan Baroque Players & Nicholas Kraemer:
🎵 Violin Concerto in A Major, Op. 3 No. 11: IIIa. Andante
#PietroLocatelli
https://open.spotify.com/track/2Nn9wshNR4b4LT5R85IkxY

A decomposition of Grassmannian associated with a hyperplane arrangement
Houshan Fu, Weikang Liang, Suijie Wang
https://arxiv.org/abs/2506.08539 https://…

A decomposition of Grassmannian associated with a hyperplane arrangement
The Grassmannian, which is the manifold of all $k$-dimensional subspaces in the Euclidean space $\mathbb{R}^n$, was decomposed through three equivalent methods connecting combinatorial geometries, Schubert cells and convex polyhedra by Gelfand, Goresky, MacPherson and Serganova. Recently, Liang, Wang and Zhao discovered a novel decomposition of the Grassmannian via an essential hyperplane arrangement, which generalizes the first two methods. However, their work was confined to essential hyperpl…

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Achim Hekler, Lukas Kuhn, Florian Buettner
https://arxiv.org/abs/2506.09593

Beyond Overconfidence: Foundation Models Redefine Calibration in Deep Neural Networks
Reliable uncertainty calibration is essential for safely deploying deep neural networks in high-stakes applications. Deep neural networks are known to exhibit systematic overconfidence, especially under distribution shifts. Although foundation models such as ConvNeXt, EVA and BEiT have demonstrated significant improvements in predictive performance, their calibration properties remain underexplored. This paper presents a comprehensive investigation into the calibration behavior of foundation mo…

A Survey of Link Prediction in N-ary Knowledge Graphs
Jiyao Wei, Saiping Guan, Da Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
https://arxiv.org/abs/2506.08970

A Survey of Link Prediction in N-ary Knowledge Graphs
N-ary Knowledge Graphs (NKGs) are a specialized type of knowledge graph designed to efficiently represent complex real-world facts. Unlike traditional knowledge graphs, where a fact typically involves two entities, NKGs can capture n-ary facts containing more than two entities. Link prediction in NKGs aims to predict missing elements within these n-ary facts, which is essential for completing NKGs and improving the performance of downstream applications. This task has recently gained significan…

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
https://arxiv.org/abs/2506.09272

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Constructing robust simulators is essential for asking "what if?" questions and guiding policy in critical domains like healthcare and logistics. However, existing methods often struggle, either failing to generalize beyond historical data or, when using Large Language Models (LLMs), suffering from inaccuracies and poor empirical alignment. We introduce G-Sim, a hybrid framework that automates simulator construction by synergizing LLM-driven structural design with rigorous empirical calibration…