Tootfinder

Causal Representation Learning with Observational Grouping for CXR Classification
Rajat Rasal, Avinash Kori, Ben Glocker
https://arxiv.org/abs/2506.20582 h…

Causal Representation Learning with Observational Grouping for CXR Classification
Identifiable causal representation learning seeks to uncover the true causal relationships underlying a data generation process. In medical imaging, this presents opportunities to improve the generalisability and robustness of task-specific latent features. This work introduces the concept of grouping observations to learn identifiable representations for disease classification in chest X-rays via an end-to-end framework. Our experiments demonstrate that these causal representations improve gen…

Revisiting R: Statistical Envelope Analysis for Lightweight RF Modulation Classification
Srinivas Rahul Sapireddy, Mostafizur Rahman
https://arxiv.org/abs/2506.19956

Revisiting R: Statistical Envelope Analysis for Lightweight RF Modulation Classification
Modulation classification plays a crucial role in wireless communication systems, enabling applications such as cognitive radio, spectrum monitoring, and electronic warfare. Conventional techniques often involve deep learning or complex feature extraction, which, while effective, require substantial computational resources and memory. An early approach by Chan and Gadbois in 1985 introduced a theoretical method for modulation classification using a mathematically derived parameter called R. The…

An arithmetic analog of Klein's classification of finite subgroups of $\mathrm{SL}_2(\mathbb{C})$
Christian Liedtke, Matthew Satriano
https://arxiv.org/abs/2506.21210

An arithmetic analog of Klein's classification of finite subgroups of $\mathrm{SL}_2(\mathbb{C})$
Let $K$ be a number field with ring of integers $\mathcal{O}_K$. We describe and classify finite, flat, and linearly reductive subgroup schemes of $\mathrm{SL}_2$ over $\mathrm{Spec}\:\mathcal{O}_K$. We also establish finiteness results for these group schemes, as well as density results for the associated quotient singularities.

Democrats rage as Trump limits classified intel sharing with Congress
https://www.axios.com/2025/06/25/democrats-iran-trump-classified-intelligence-leaks

Democrats rage as Trump limits classified intel sharing with Congress (Axios)
https://www.axios.com/2025/06/25/democrats-iran-trump-classified-intelligence-leaks
http://www.memeorandum.com/250625/p111#a250625p111

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Jialin He, Xinye Peng, Zhongbao Yin, Liang Zheng
https://arxiv.org/abs/2506.20612

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Event shape measurements are crucial for understanding the underlying event and multiple-parton interactions (MPIs) in high energy proton proton (pp) collisions. In this paper, the Tsallis Blast-Wave model with independent non-extensive parameters for mesons and baryons, was applied to analyze transverse momentum spectra of charged pions, kaons, and protons in pp collision events at $\sqrt{s}=13$ TeV classified by event shape estimators relative transverse event activity, spherocity, and flatte…

https://ukdefencejournal.org.uk/classified-data-once-again-leaked-on-war-thunder-forums/

Classified data once again leaked on War Thunder forums
It has happened again.

Symmetry Classification of Magnetic Orders and Emergence of Spin-Orbit Magnetism
Yuntian Liu, Xiaobing Chen, Yutong Yu, Qihang Liu
https://arxiv.org/abs/2506.20739

Symmetry Classification of Magnetic Orders and Emergence of Spin-Orbit Magnetism
Magnetism, a fundamental concept predating condensed matter physics, has achieved significant advancements in recent decades, driven by its potential for next-generation storage devices. Meanwhile, the classification of magnetic orders, even for the most fundamental concepts like ferromagnetism (FM) and antiferromagnetism (AFM), has encountered unprecedented challenges since the discovery of unconventional magnets and advancements in antiferromagnetic spintronics. Here, we present a rigorous cl…

dbpedia_genre: DBpedia work-genre network
A bipartite network of the affiliations between artists and their works on one side and genre classifications on the other, as extracted from Wikipedia by the DBpedia project. The date of this snapshot is uncertain.
This network has 266717 nodes and 463497 edges.
Tags: Informational, Relatedness, Unweighted

Democratic lawmakers in Congress are furious
after the Trump administration announced plans to
💥limit classified information that is typically shared with both houses of the legislature -- following a leak regarding the U.S.’s recent military strikes on Iran.
After President Donald Trump and members of his cabinet claimed his ordered attacks on three sites in Iran last weekend “obliterated” the country’s nuclear capabilities,
a leaked intelligence document disputed tha…

White House Plans to Limit Intel Sharing With Congress Over Leak Showing Iran’s Nuclear Capabilities Weren’t “Obliterated”
“This isn’t about national security — it’s about Trump’s insecurity,” Sen. Chuck Schumer said.