Tootfinder

Even among DJT voters,
a huge cohort had just [understandably] soured on traditional politicians because of a perception
(again .understandable)
that "they're all corrupt,"
that "the system's broken," etc.
It may seem ludicrous and naive to you and me,
but many of them voted for DJT precisely for that reason.
He was - in their thinking - supposed to shake things up,
break things,
drain the swamp.

A US Treasury Department document says "digital content creators", including podcasters, social media influencers, and streamers, are eligible for tax-free tips (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business

“No Tax On Tips” Includes Digital Creators, Too
A U.S. Treasury Department document includes podcasters, social media influencers and streamers among occupations eligible for tax-free tips.

Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations
Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi
https://arxiv.org/abs/2510.08120

Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations
Using LLMs to evaluate text, that is, LLM-as-a-judge, is increasingly being used at scale to augment or even replace human annotations. As such, it is imperative that we understand the potential biases and risks of doing so. In this work, we propose an approach for extracting high-level concept-based global policies from LLM-as-a-Judge. Our approach consists of two algorithms: 1) CLoVE (Contrastive Local Verifiable Explanations), which generates verifiable, concept-based, contrastive local expl…

The Slow Space Editor : Broadening Access to Restorative XR
Nate Laffan, Ashley Hom, Andrea Nadine Castillo, Elizabeth Gitelman, Rebecca Zhao, Nikita Shenoy, Kaia Rae Schweig, Katherine Isbister
https://arxiv.org/abs/2510.07610

The Slow Space Editor : Broadening Access to Restorative XR
The Slow Space Editor is a 2D tool for creating 3D spaces. It was built as part of a research-through-design project that investigates how Virtual and Mixed Reality (XR) environments might be used for reflection and attention restoration. In this phase, we seek to radically simplify the creation of virtual environments, thereby broadening the potential group of users who could benefit from them. The research described in this paper has three aspects. First, we define the concept of "slow space,…

"Greenwashing at #Elsevier: A political ecology of corporate publishing"
https://doi.org/10.3998/jep.7482

Emergent spacetime supersymmetry at 2D fractionalized quantum criticality
Zhengzhi Wu, Zhou-Quan Wan, Shao-Kai Jian, Hong Yao
https://arxiv.org/abs/2510.07383 https://

Emergent spacetime supersymmetry at 2D fractionalized quantum criticality
While experimental evidence for spacetime supersymmetry (SUSY) in particle physics remains elusive, condensed matter systems offer a promising arena for its emergence at quantum critical points (QCPs). Although there have been a variety of proposals for emergent SUSY at symmetry-breaking QCPs, the emergence of SUSY at fractionalized QCPs remains largely unexplored. Here, we demonstrate emergent space-time SUSY at a fractionalized QCP in the Kitaev honeycomb model with Su-Schrieffer-Heeger (SSH)…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- Interpreting LLM-as-a-Judge Policies via Verifiable Global Explanations
Jasmina Gajcin, Erik Miehling, Rahul Nair, Elizabeth Daly, Radu Marinescu, Seshu Tirupathi

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
Jakob Scheffels, Elizabeth Qian, Iason Papaioannou, Elisabeth Ullmann
https://arxiv.org/abs/2510.07950

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
Bayesian inverse problems use data to update a prior probability distribution on uncertain parameter values to a posterior distribution. Such problems arise in many structural engineering applications, but computational solution of Bayesian inverse problems is often expensive because standard solution approaches require many evaluations of the forward model mapping the parameter value to predicted observations. In many settings, this forward model is expensive because it requires the solution o…

NFL says Jalen Carter’s ejection counts as suspension; eligible to play for Eagles in Week 2 https://www.nytimes.com/athletic/6610697/2025/09/09/jalen-carter-spitting-suspension-eagles-dak-prescott-nfl/

LeWiDi-2025 at NLPerspectives: The Third Edition of the Learning with Disagreements Shared Task
Elisa Leonardelli, Silvia Casola, Siyao Peng, Giulia Rizzi, Valerio Basile, Elisabetta Fersini, Diego Frassinelli, Hyewon Jang, Maja Pavlovic, Barbara Plank, Massimo Poesio
https://arxiv.org/abs/2510.08460…

LeWiDi-2025 at NLPerspectives: The Third Edition of the Learning with Disagreements Shared Task
Many researchers have reached the conclusion that AI models should be trained to be aware of the possibility of variation and disagreement in human judgments, and evaluated as per their ability to recognize such variation. The LEWIDI series of shared tasks on Learning With Disagreements was established to promote this approach to training and evaluating AI models, by making suitable datasets more accessible and by developing evaluation methods. The third edition of the task builds on this goal …