Tootfinder

An army veteran and Purple Heart recipient who served two tours in Iraq was deported on Friday morning from an immigration detention facility in Florence, Arizona.
Arizona state representative Raquel Teršn told Fox 10 Phoenix that Jose Barco, a Venezuelan-born veteran whose family fled Cuba as refugees, was deported at 4am from Arizona.
Anna Stout, a volunteer on Barco’s defense team, told Denver 7 his team was not notified of plans for his deportation.
Barco’s family has s…

Nice to see Gov. Newsom speaking fluently about climate at #COP30 and representing the continuing state/city climate action in the *real* US, while the Trump team didn't even show up as it tries to deny and ignore reality to please its fossil fuel owners.

Between Knowledge and Care: Evaluating Generative AI-Based IUI in Type 2 Diabetes Management Through Patient and Physician Perspectives
Yibo Meng, Ruiqi Chen, Zhiming Liu, Xiaolan Ding, Yan Guan
https://arxiv.org/abs/2510.10048

Between Knowledge and Care: Evaluating Generative AI-Based IUI in Type 2 Diabetes Management Through Patient and Physician Perspectives
Generative AI systems are increasingly adopted by patients seeking everyday health guidance, yet their reliability and clinical appropriateness remain uncertain. Taking Type 2 Diabetes Mellitus (T2DM) as a representative chronic condition, this paper presents a two-part mixed-methods study that examines how patients and physicians in China evaluate the quality and usability of AI-generated health information. Study~1 analyzes 784 authentic patient questions to identify seven core categories of …

Task-Level Insights from Eigenvalues across Sequence Models
Rahel Rickenbach, Jelena Trisovic, Alexandre Didier, Jerome Sieber, Melanie N. Zeilinger
https://arxiv.org/abs/2510.09379

Task-Level Insights from Eigenvalues across Sequence Models
Although softmax attention drives state-of-the-art performance for sequence models, its quadratic complexity limits scalability, motivating linear alternatives such as state space models (SSMs). While these alternatives improve efficiency, their fundamental differences in information processing remain poorly understood. In this work, we leverage the recently proposed dynamical systems framework to represent softmax, norm and linear attention as dynamical systems, enabling a structured compariso…

Learning Global Representation from Queries for Vectorized HD Map Construction
Shoumeng Qiu, Xinrun Li, Yang Long, Xiangyang Xue, Varun Ojha, Jian Pu
https://arxiv.org/abs/2510.06969

Learning Global Representation from Queries for Vectorized HD Map Construction
The online construction of vectorized high-definition (HD) maps is a cornerstone of modern autonomous driving systems. State-of-the-art approaches, particularly those based on the DETR framework, formulate this as an instance detection problem. However, their reliance on independent, learnable object queries results in a predominantly local query perspective, neglecting the inherent global representation within HD maps. In this work, we propose \textbf{MapGR} (\textbf{G}lobal \textbf{R}epresent…

CFP> Emerging Voices in the Study of Theravada Civilizations 2026
https://ift.tt/oDy38xY
Seeking Book Reviewers for Women and Social Movements in the United States Erica Hayden 10/06/2025 -…
via Input 4 RELCFP

How hard is it to verify a classical shadow?
Georgios Karaiskos, Dorian Rudolph, Johannes Jakob Meyer, Jens Eisert, Sevag Gharibian
https://arxiv.org/abs/2510.08515 https://

How hard is it to verify a classical shadow?
Classical shadows are succinct classical representations of quantum states which allow one to encode a set of properties P of a quantum state rho, while only requiring measurements on logarithmically many copies of rho in the size of P. In this work, we initiate the study of verification of classical shadows, denoted classical shadow validity (CSV), from the perspective of computational complexity, which asks: Given a classical shadow S, how hard is it to verify that S predicts the measurement …

On a matrix constrained CKP hierarchy
Song Li, Kelei Tian, Zhiwei Wu
https://arxiv.org/abs/2510.09054 https://arxiv.org/pdf/2510.09054

On a matrix constrained CKP hierarchy
The algebraic structures of integrable hierarchies play an important role in the study of soliton equations. In this paper, we use splitting theory to give a matrix representation of a constrained CKP hierarchy, which can be considered as a generalization of the $\hat{A}_{2n}^{(2)}$-KdV hierarchy and the constrained KP hierarchy. An equivalent construction in terms of the pseudo-differential operator is discussed. Darboux transformations, scaling transformation and tau functions $\ln τ_f$ for …

Product-Quantised Image Representation for High-Quality Image Synthesis
Denis Zavadski, Nikita Philip Tatsch, Carsten Rother
https://arxiv.org/abs/2510.03191 https://

Product-Quantised Image Representation for High-Quality Image Synthesis
Product quantisation (PQ) is a classical method for scalable vector encoding, yet it has seen limited usage for latent representations in high-fidelity image generation. In this work, we introduce PQGAN, a quantised image autoencoder that integrates PQ into the well-known vector quantisation (VQ) framework of VQGAN. PQGAN achieves a noticeable improvement over state-of-the-art methods in terms of reconstruction performance, including both quantisation methods and their continuous counterparts. …

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[6/6]:
- Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
Giovanni Catalani, Michael Bauerheim, Fr\'ed\'eric Tost, Xavier Bertrand, Joseph Morlier