Tootfinder

Trying to read a post claiming GitHub’s decision to purge toasts is *bad* for accessibility, even though it's on perennially inaccessible Medium.
And it’s behind an authwall.
Fine, I’ll sign in.
Oh, it’s actually behind a paywall.
Oh well. It’s not meant for me. Or anyone.

To what extent is this on the radar of #EV advocacy groups in the US? I certainly wasn't conscious of the potential barriers until reading this article.

To what extent is this on the radar of #EV advocacy groups in the US? I certainly wasn't conscious of the potential barriers until reading this article.

Even as much of the internet is inaccessible right now, Metacurity appears unaffected. So check out today's issue for the most critical infosec developments you should know, including
--CISA says it will rebuild with more staff in 2026 to rectify cuts in 2025,
--Microsoft’s Azure cloud computing service was hit with 15.7 Tbps DDoS attack,
--Russian telecom Protei was hacked and site defaced,
--Companies warn of inflexibility if UK bans ransom payments,
--A cr…

CISA says it will rebuild with more staff in 2026 to redress cuts in 2025
Microsoft’s Azure cloud computing service was hit with 15.7 Tbps DDoS attack, Russian telecom Protei was hacked and site defaced, Companies warn of inflexibility if UK bans ransom payments, A crew of companies reject efforts to weaken encryption, 460k FTSE compromised credentials found, much more

Is laparoscopic surgery for buildings a thing?
Like a steerable borescope with a manipulator that you can attach a tool to or something to squeeze into a tight spot and perform a repair in an otherwise inaccessible location.

Quantifying Locomotion Differences Between Virtual Reality Users With and Without Motor Impairments
Rachel L. Franz, Jacob O. Wobbrock
https://arxiv.org/abs/2510.07987 https://

Quantifying Locomotion Differences Between Virtual Reality Users With and Without Motor Impairments
Today's virtual reality (VR) systems and environments assume that users have typical abilities, which can make VR inaccessible to people with physical impairments. However, there is not yet an understanding of how inaccessible locomotion techniques are, and which interactions make them inaccessible. To this end, we conducted a study in which people with and without upper-body impairments navigated a virtual environment with six locomotion techniques to quantify performance differences among gro…

Ultimately, #Melbourne’s inaccessible tram stops are what led to my wife and I moving to Canberra. It’s despicable that #PublicTransport in a city of Melbourne’s size should be so deliberately exclusive of the disabled.

Just got back from visiting a neighborhood the SF Chronicle called “mostly inaccessible but by car.” I took the bus that runs every 8 minutes all day from BART.

when the paywall CSS is accessible but also inaccessible

TorchCor: High-Performance Cardiac Electrophysiology Simulations with the Finite Element Method on GPUs
Bei Zhou, Maximilian Balmus, Cesare Corrado, Ludovica Cicci, Shuang Qian, Steven A. Niederer
https://arxiv.org/abs/2510.12011

TorchCor: High-Performance Cardiac Electrophysiology Simulations with the Finite Element Method on GPUs
Cardiac electrophysiology (CEP) simulations are increasingly used for understanding cardiac arrhythmias and guiding clinical decisions. However, these simulations typically require high-performance computing resources with numerous CPU cores, which are often inaccessible to many research groups and clinicians. To address this, we present TorchCor, a high-performance Python library for CEP simulations using the finite element method on general-purpose GPUs. Built on PyTorch, TorchCor significant…

Quantum Channel Masking
Anna Honeycutt, Hailey Murray, Eric Chitambar
https://arxiv.org/abs/2510.09456 https://arxiv.org/pdf/2510.09456

Quantum Channel Masking
Quantum masking is a special type of secret sharing in which some information gets reversibly distributed into a multipartite system, leaving the original information inaccessible to each subsystem. This paper proposes a dynamical extension of quantum masking to the level of quantum channels. In channel masking, the identity of a channel becomes locally hidden but still globally accessible after its output is sent through a bipartite broadcasting channel. We first characterize all families of d…

Sonic CD: comparing time periods
When playing through Sonic CD, there are frequently ledges that seem inaccessible, or slopes that seem to stop abruptly. I noted when writing about my completion of the game that the level design felt a little bit off in places, preventing you from getting up too high a speed; on reflection this may well be another deliberate puzzle, to work out how to time travel, but I thought it might also be where the levels had been adjusted for…

LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent Teams
Aju Ani Justus, Chris Baber
https://arxiv.org/abs/2510.06151 https://

LLMs as Policy-Agnostic Teammates: A Case Study in Human Proxy Design for Heterogeneous Agent Teams
A critical challenge in modelling Heterogeneous-Agent Teams is training agents to collaborate with teammates whose policies are inaccessible or non-stationary, such as humans. Traditional approaches rely on expensive human-in-the-loop data, which limits scalability. We propose using Large Language Models (LLMs) as policy-agnostic human proxies to generate synthetic data that mimics human decision-making. To evaluate this, we conduct three experiments in a grid-world capture game inspired by Sta…

Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms
Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Moeller, Vladislav Golyanik
https://arxiv.org/abs/2510.07317

Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms
Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, optimisation theory, machine learning and quantum computing. It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing that leverages quantum-mechanical effects in computations inaccessible to classical (i.e. non-quantum) computers. In scenarios where existing non-quantum methods cannot find a solution in a reasonable time or comput…

DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Chengyang Zhao, Uksang Yoo, Arkadeep Narayan Chaudhury, Giljoo Nam, Jonathan Francis, Jeffrey Ichnowski, Jean Oh
https://arxiv.org/abs/2510.06199

DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Hair care is an essential daily activity, yet it remains inaccessible to individuals with limited mobility and challenging for autonomous robot systems due to the fine-grained physical structure and complex dynamics of hair. In this work, we present DYMO-Hair, a model-based robot hair care system. We introduce a novel dynamics learning paradigm that is suited for volumetric quantities such as hair, relying on an action-conditioned latent state editing mechanism, coupled with a compact 3D latent…

A virtual five element basis for the uncountable linear orders
John Krueger, Justin Tatch Moore
https://arxiv.org/abs/2510.03581 https://arxiv.org/pdf/2510…

A virtual five element basis for the uncountable linear orders
We prove that for every Aronzsajn line A and every Countryman line C, there is a proper forcing extension in which A contains an isomorphic copy of either C or its converse C*. As a corollary, we obtain answers to several related questions asked by the second author in the literature: if there is an inaccessible cardinal, then there is a proper forcing extension in which the uncountable linear orders have a five element basis; BPFA implies the existence of a five element basis for the uncountab…

Exploratory Semantic Reliability Analysis of Wind Turbine Maintenance Logs using Large Language Models
Max Malyi, Jonathan Shek, Andre Biscaya
https://arxiv.org/abs/2509.22366 h…

Exploratory Semantic Reliability Analysis of Wind Turbine Maintenance Logs using Large Language Models
A wealth of operational intelligence is locked within the unstructured free-text of wind turbine maintenance logs, a resource largely inaccessible to traditional quantitative reliability analysis. While machine learning has been applied to this data, existing approaches typically stop at classification, categorising text into predefined labels. This paper addresses the gap in leveraging modern large language models (LLMs) for more complex reasoning tasks. We introduce an exploratory framework t…

Are LLMs ready to help non-expert users to make charts of official statistics data?
Gadir Suleymanli, Alexander Rogiers, Lucas Lageweg, Jefrey Lijffijt
https://arxiv.org/abs/2510.01197

Are LLMs ready to help non-expert users to make charts of official statistics data?
In this time when biased information, deep fakes, and propaganda proliferate, the accessibility of reliable data sources is more important than ever. National statistical institutes provide curated data that contain quantitative information on a wide range of topics. However, that information is typically spread across many tables and the plain numbers may be arduous to process. Hence, this open data may be practically inaccessible. We ask the question "Are current Generative AI models capable …

Intrinsic ultrafast edge photocurrent dynamics in WTe$_2$ driven by broken crystal symmetry
Subhashri Chatterjee, Katsumasa Yoshioka, Taro Wakamura, Vasili Perebeinos, Norio Kumada
https://arxiv.org/abs/2510.06618

Intrinsic ultrafast edge photocurrent dynamics in WTe$_2$ driven by broken crystal symmetry
Directional photocurrents in two-dimensional materials arise from broken crystal symmetry, offering pathways to high-speed, bias-free photodetection beyond conventional devices. Tungsten ditelluride (WTe$_2$), a type-II Weyl semimetal, exhibits robust symmetry-breaking-induced edge photocurrents from competing nonlinear optical and photothermoelectric (PTE) mechanisms, whose intrinsic dynamics have remained experimentally inaccessible. Here, we directly resolve sub-picosecond edge photocurrent …

Lagrange-Mesh Method in Momentum Space: an Alternative Formulation
Cyrille Chevalier, Joachim Viseur
https://arxiv.org/abs/2510.03015 https://arxiv.org/pdf…

Lagrange-Mesh Method in Momentum Space: an Alternative Formulation
This work presents a new methodology for computing potential matrix elements within the Lagrange-mesh method in momentum space. The proposed approach extends the range of treatable potentials to include previously inaccessible cases, such as Coulomb and linear interactions. The method is validated across a variety of systems. A particular attention is given to the representation of both momentum and position probability densities.

Adaptive Pseudo-Marginal Algorithm
Sarra Abaoubida, Myl\`ene B\'edard, Florian Maire
https://arxiv.org/abs/2509.24820 https://arxiv.org/pdf/2509.24820

Adaptive Pseudo-Marginal Algorithm
The Pseudo-Marginal (PM) algorithm is a popular Markov chain Monte Carlo (MCMC) method used to sample from a target distribution when its density is inaccessible, but can be estimated with a non-negative unbiased estimator. Its performance depends on a key parameter, N, the number of iterations (or particles) used to approximate the target density. Larger values of N yield more accurate estimates but at increased running time. Previous studies has provided guidelines for selecting an optimal va…