Tootfinder

Preston Damsky is a law student at the University of Florida.
He is also a white nationalist and antisemite.
Last fall, he took a seminar taught by a federal judge on “originalism,”
the legal theory favored by many conservatives that seeks to interpret the Constitution based on its meaning when it was adopted.
In his capstone paper for the class, Mr. Damsky argued that the framers had intended for the phrase “We the People,” in the Constitution’s preamble, to refer exc…

A White Nationalist at University of Florida Wrote a Paper Promoting Racist Views. It Won Him an Award.
The University of Florida student won an academic honor after he argued in a paper that the Constitution applies only to white people. From there, the situation spiraled.

乾隆皇帝半身冬装像，郎世宁，1756-1757，70.8 x 50.4 cm，纸本油彩
Portrait of Emperor Qianlong in Winter Suit, Giuseppe Castiglione, 1756-1757, 70.8 x 50.4 cm, Oil on Paper
#艺术 #Art

乾隆皇帝半身冬装像，郎世宁，1756-1757，70.8 x 50.4 cm，纸本油彩
Portrait of Emperor Qianlong in Winter Suit, Giuseppe Castiglione, 1756-1757, 70.8 x 50.4 cm, Oil on Paper
#艺术 #Art

Space-time fractional stochastic partial differential equations driven by L\'evy white noise
Yuhui Guo, Jiang-Lun Wu
https://arxiv.org/abs/2506.12834 h…

Space-time fractional stochastic partial differential equations driven by Lévy white noise
This paper is concerned with the following space-time fractional stochastic nonlinear partial differential equation \begin{equation*} \left(\partial_t^β+\fracν{2}\left(-Δ\right)^{α/ 2}\right) u=I_{t}^γ\Big[ f(t,x,u)-\sum_{i=1}^{d} \frac{\partial}{\partial x_i} q_i(t,x,u)+ σ(t,x,u) F_{t,x}\Big] \end{equation*} for a random field $u(t,x):[0,\infty)\times\mathbb{R}^d \mapsto\mathbb{R}$, where $α>0, β\in(0,2), γ\ge0, ν>0, F_{t,x}$ is a Lévy space-time white noise, $I_{t}^γ$ stands for…

"Smart glasses offering a combination of sensory substitution based 'raw' vision and AI-based scene description and OCR appears to be technically and economically the most feasible and sustainable way toward meeting expectations, needs and interests of many blind people." https://www.artificialvision…

Terrific response from BBC's Ros Atkins ‪@rosatkins.bsky.social €to Trump administration's unfounded criticisms of BBC coverage of Gaza. The piece of paper held up by press sec was a tweet from student activist -pathetic.
https://www.bbc.co.uk/news/videos/c9wgq9vv51do…

Ros Atkins on... The White House claims on BBC Gaza coverage
On Tuesday White House Press Secretary Karoline Leavitt launched an attack on the BBC's coverage of reports that Israeli forces had killed Palestinians near an aid distribution centre in Gaza. She claimed that the BBC took down a story after reviewing footage. The BBC has said the claim is completely wrong and that it stands by its journalism. Ros Atkins from BBC Verify takes a look at the facts.

Multi-Task Reward Learning from Human Ratings
Mingkang Wu, Devin White, Evelyn Rose, Vernon Lawhern, Nicholas R Waytowich, Yongcan Cao
https://arxiv.org/abs/2506.09183

Multi-Task Reward Learning from Human Ratings
Reinforcement learning from human feeback (RLHF) has become a key factor in aligning model behavior with users' goals. However, while humans integrate multiple strategies when making decisions, current RLHF approaches often simplify this process by modeling human reasoning through isolated tasks such as classification or regression. In this paper, we propose a novel reinforcement learning (RL) method that mimics human decision-making by jointly considering multiple tasks. Specifically, we lever…

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
Hassan Mortada, Cyril Falcon, Yanis Kahil, Math\'eo Clavaud, Jean-Philippe Michel
https://arxiv.org/abs/2506.11639

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
State estimation in stochastic dynamical systems with noisy measurements is a challenge. While the Kalman filter is optimal for linear systems with independent Gaussian white noise, real-world conditions often deviate from these assumptions, prompting the rise of data-driven filtering techniques. This paper introduces Recursive KalmanNet, a Kalman-filter-informed recurrent neural network designed for accurate state estimation with consistent error covariance quantification. Our approach propaga…

Observatory Science with eXTP
Ping Zhou, Jirong Mao, Liang Zhang, Alessandro Patruno, Enrico Bozzo, Yanjun Xu, Andrea Santangelo, Silvia Zane, Shuang-Nan Zhang, Hua Feng, Yuri Cavecchi, Barbara De Marco, Junhui Fan, Xian Hou, Pengfei Jiang, Patrizia Romano, Gloria Sala, Lian Tao, Alexandra Veledina, Jacco Vink, Song Wang, Junxian Wang, Yidi Wang, Shanshan Weng, Qingwen Wu, Fei Xie, Guobao Zhang, Jin Zhang, Zhanhao Zhao, Shijie Zheng, Samuzal Barua, Yue-Hong Chen, Yupeng Chen, Shi-Jiang…

Observatory Science with eXTP
Scheduled for launch in 2030, the enhanced X-ray Timing and Polarization (eXTP) telescope is a Chinese space-based mission aimed at studying extreme conditions and phenomena in astrophysics. eXTP will feature three main payloads: Spectroscopy Focusing Arrays (SFAs), Polarimetry Focusing Arrays (PFAs), and a Wide-field Camera (W2C). This white paper outlines observatory science, incorporating key scientific advances and instrumental changes since the publication of the previous white paper [1]. …

Collette and I on the Athabasca glacier. Alberta, Canada 🇨🇦 #CanadianRockies #Glacier #Alberta

Influence Mechanism of Truncation on Low-Frequency Phase Measurement
Yujie Feng, Yuanze Jiang, Liuyang Chen, Haifeng Chen, Yurong Liang
https://arxiv.org/abs/2506.06788

Influence Mechanism of Truncation on Low-Frequency Phase Measurement
Driven by advances in electronic technology, modern digital phasemeters have significantly improved in integration and functionality, enabling real-time measurement and analysis of dynamic signals. High-precision phase measurement is closely associated with the quantization process. This paper specifically analyzes the white and non-white noise characteristics associated with the quantization errors of phase truncation in digital phasemeters. The error can be considered white noise under specif…

A White Paper on The Multi-Messenger Science Landscape in India
Samsuzzaman Afroz, Sanjib Kumar Agarwalla, Dipankar Bhattacharya, Soumya Bhattacharya, Subir Bhattacharyya, Varun Bhalerao, Debanjan Bose, Chinmay Borwanker, Ishwara Chandra C. H., Aniruddha Chakraborty, Indranil Chakraborty, Sovan Chakraborty, Debarati Chatterjee, Varsha Chitnis, Moon Moon Devi, Sanjeev Dhurandhar, Amol Dighe, Bitan Ghosal, Sourendu Gupta, Arpan Hait, Md Emanuel Hoque, Pratik Majumdar, Nilmani Mathur, Har…

A White Paper on The Multi-Messenger Science Landscape in India
The multi-messenger science using different observational windows to the Universe such as Gravitational Waves (GWs), Electromagnetic Waves (EMs), Cosmic Rays (CRs), and Neutrinos offer an opportunity to study from the scale of a neutron star to cosmological scales over a large cosmic time. At the smallest scales, we can explore the structure of the neutron star and the different energetics involved in the transition of a pre-merger neutron star to a post-merger neutron star. This will open up a…

This https://arxiv.org/abs/2410.22931 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A Third-Order Gaussian Process Trajectory Representation Framework with Closed-Form Kinematics for Continuous-Time Motion Estimation
In this paper, we propose a third-order, i.e., white-noise-on-jerk, Gaussian Process (GP) Trajectory Representation (TR) framework for continuous-time (CT) motion estimation (ME) tasks. Our framework features a unified trajectory representation that encapsulates the kinematic models of both $SO(3)\times\mathbb{R}^3$ and $SE(3)$ pose representations. This encapsulation strategy allows users to use the same implementation of measurement-based factors for either choice of pose representation, whic…

Pondering how to best prepare for the upcoming onslaught of Neuralink Blindsight brain implant hype/PR after the first blind patient receives one in UAE. Most scientists are open to reason, but they make up a tiny minority under funding stress, while the mass media profit from maximizing hype.
https://www.artifi…

New Symbiotic Stars from LAMOST DR10 Spectra and Multi-band Photometry
Jing Chen, Liang Wang, Yin-Bi Li, Xiao-Xiao Ma, A-Li Luo, Zi-Chong Zhang, Ming-Yi Ding, Kai Zhang
https://arxiv.org/abs/2506.09352

New Symbiotic Stars from LAMOST DR10 Spectra and Multi-band Photometry
Symbiotic star (SySt) is long-period interacting binary system, typically consisting of a white dwarf and a red giant surrounded by a nebula. These systems are natural astrophysical laboratories for investigating binary star evolution. In this paper, we identified nine SySts from the LAMOST DR10 low-resolution spectra survey, seven of which were previously known, while two are newly identified. Initially, we selected LAMOST spectra exhibiting typical SySt emission lines (e.g., $\rm H_α, ~H_β,…

#Blakes7 Series B, Episode 07 - Killer
BLAKE: Kemp, Wardin, Tober, missing in the constellation of 61 Cygnii, seven hundred years ago.
WILER: May I continue?
BELLFRIAR: Sorry.
[Mortuary]
https://blake.torpi…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

I just updated the prints on my office door to reflect the kind of photos (particularly event photos) that I am taking now -- as well the the new system which supersedes "three sided cards" that attains better branding in every respect except that it doesn't have a name (yet) #photo #photography

Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust
Claudiu Popa, Rex Pallath, Liam Cunningham, Hewad Tahiri, Abiram Kesavarajah, Tao Wu
https://arxiv.org/abs/2506.07363

Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust
Deepfake Technology Unveiled: The Commoditization of AI and Its Impact on Digital Trust. With the increasing accessibility of generative AI, tools for voice cloning, face-swapping, and synthetic media creation have advanced significantly, lowering both financial and technical barriers for their use. While these technologies present innovative opportunities, their rapid growth raises concerns about trust, privacy, and security. This white paper explores the implications of deepfake technology, a…

This https://arxiv.org/abs/2501.13861 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Study of Various Dark Matter Halo Profiles in Milky Way and M31 Galaxies within the Standard Cosmology Framework
In this paper, we study the rotation curves of the Milky Way galaxy (MW) and Andromeda galaxy (M31) by considering their bulge, disk, and halo components. We model the bulge region by the widely accepted de Vaucouleur's law and the disk region by the well-established exponential profile. In order to understand the distribution of dark matter in the halo region, we consider three different dark matter profiles in the framework of the standard $Λ$CDM model, namely, Navarro-Frenk-White (NFW), Her…

This https://arxiv.org/abs/2305.14653 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Conceptualizing educational opportunity hoarding: the emergence of hoarding without hoarders
Social scientists increasingly use the concept of opportunity hoarding to explain the formation of Black-White educational inequalities. However, this concept is often loosely defined, leading to varied interpretations of the inequality-producing mechanisms it captures. To bring clarity to this valuable sociological concept, this theoretical paper, informed by the concept's original definition and existing empirical research, proposes a more precise definition of opportunity hoarding and formal…

This https://arxiv.org/abs/2409.16757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNE_…

An Adaptive Re-evaluation Method for Evolution Strategy under Additive Noise
The Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) is one of the most advanced algorithms in numerical black-box optimization. For noisy objective functions, several approaches were proposed to mitigate the noise, e.g., re-evaluations of the same solution or adapting the population size. In this paper, we devise a novel method to adaptively choose the optimal re-evaluation number for function values corrupted by additive Gaussian white noise. We derive a theoretical lower bound o…

New Physics Search at the CEPC: a General Perspective
Stefan Antusch, Peter Athron, Daniele Barducci, Long Chen, Mingshui Chen, Xiang Chen, Huajie Cheng, Kingman Cheung, Joao Guimaraes da Costa, Arindam Das, Frank F. Deppisch, P. S. Bhupal Dev, Xiaokang Du, Yong Du, Yaquan Fang, Andrew Fowlie, Yu Gao, Bruce Mellado Garcia, Shao-Feng Ge, Jiayin Gu, Yu-Chen Guo, Jan Hajer, Chengcheng Han, Tao Han, Sven Heinemeyer, Fa Peng Huang, Yanping Huang, Jianfeng Jiang, Shan Jin, Liang Li, Lingfeng…

New Physics Search at the CEPC: a General Perspective
The Circular Electron-Positron Collider (CEPC), a proposed next-generation Higgs factory, provides new opportunities to explore physics beyond the Standard Model (SM). With its clean electron-positron collision environment and the ability to collect large samples of Higgs, W, and Z bosons, the CEPC enables precision measurements and searches for new physics. This white paper outlines the CEPC's discovery potential, including studies of exotic decays of the Higgs, Z, and top quarks, dark matter …

This https://arxiv.org/abs/2410.20426 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Exact Temporal Variation for Fractional Stochastic Heat Equation Driven by Space-Time White Noise
In this paper, we consider the exact fractional variation for the temporal process of the solution to the fractional stochastic heat equation on $\mathbb{R}$ driven by a space-time white noise, and as an application we give the estimate of drift parameter.

Go for a Neuralink Blindsight brain implant, or opt for cheaper and replaceable smart glasses? #BCI

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Christoph Brunken, Olivier Peltre, Heloise Chomet, Lucien Walewski, Manus McAuliffe, Valentin Heyraud, Solal Attias, Martin Maarand, Yessine Khanfir, Edan Toledo, Fabio Falcioni, Marie Bluntzer, Silvia Acosta-Guti\'errez, Jules Tilly

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Machine Learning Interatomic Potentials (MLIP) are a novel in silico approach for molecular property prediction, creating an alternative to disrupt the accuracy/speed trade-off of empirical force fields and density functional theory (DFT). In this white paper, we present our MLIP library which was created with two core aims: (1) provide to industry experts without machine learning background a user-friendly and computationally efficient set of tools to experiment with MLIP models, (2) provide m…

This https://arxiv.org/abs/2209.03350 has been replaced.
link: https://scholar.google.com/scholar?q=a

Modeling Polarized Radio Sounding Observations of a Coronal Mass Ejection
Coronal Mass Ejections (CMEs) evolve significantly as they propagate from the Sun to the Earth, so remote observations of their changes in speed, strength of the magnetic field, density, and overall structure are critical for predicting their arrival time and geoeffectiveness. Radio line-of-sight observations of Faraday rotation and Total Electron Content combined with white-light observations enables the measurement of these properties with careful analyses. This paper describes the analysis t…

A central limit theorem for the stochastic cable equation
Soma Nishino
https://arxiv.org/abs/2506.02755 https://arxiv.org/pdf/2506.02…

A central limit theorem for the stochastic cable equation
In this paper, we consider one-dimensional nonlinear stochastic cable equations driven by a multiplicative space-time white noise. Using the Malliavin--Stein's method, we prove the Gaussian fluctuation for the spatial average of the solution under the total variation distance with mild conditions. We also establish functional central limit theorem.