Tootfinder

Newsmax pays $67 million to settle defamation case linked to 2020 election coverage (Maddy Lauria/NPR)
https://www.npr.org/2025/08/18/nx-s1-5506062/newsmax-pays-67-million-to-settle-defamation-case-linked-to-2020-election-coverage
http://www.memeorandum.com/250818/p60#a250818p60

I find it kinda funny that the 2020 MacBook Air—my work machine (albeit with 16 GB of RAM)—is now described as being “still capable at handling basic tasks like a champ, including streaming video, browsing, and dealing with documents.”
I haven’t noticed #Emacs slowing down, so what do people do that needs so much more computing power!?

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

Conservative network Newsmax agrees to pay $67M in defamation case over bogus 2020 election claims (Nicholas Riccardi/Associated Press)
https://apnews.com/article/dominion-voting-newsmax-defamation-trump-2020-3b2366dfdae3a8432afe822bf14fe1ef
http://www.memeorandum.com/250818/p70#a250818p70

Perturbed Public Voices (P$^{2}$V): A Dataset for Robust Audio Deepfake Detection
Chongyang Gao, Marco Postiglione, Isabel Gortner, Sarit Kraus, V. S. Subrahmanian
https://arxiv.org/abs/2508.10949

Perturbed Public Voices (P$^{2}$V): A Dataset for Robust Audio Deepfake Detection
Current audio deepfake detectors cannot be trusted. While they excel on controlled benchmarks, they fail when tested in the real world. We introduce Perturbed Public Voices (P$^{2}$V), an IRB-approved dataset capturing three critical aspects of malicious deepfakes: (1) identity-consistent transcripts via LLMs, (2) environmental and adversarial noise, and (3) state-of-the-art voice cloning (2020-2025). Experiments reveal alarming vulnerabilities of 22 recent audio deepfake detectors: models trai…

/2
En zie daar het grote verschil dat Nieuwsuur maakt vandaag. Daar een lang item over een Israëlische vrouw em een Palestijnse man die Eem paar km uit elkaar wonen..
Achteraan ook bovenstaand stukje.
De bijeenkomst werd gehouden door de Israëlische ambassade en CJO.
Zeker zolang Israel genocide pleegt is het onbestaanbaar dat Schoof zich daar vertoont.
#RodeLijn #NLpol #Gaza

The Trump administration wants the last four digits of every voter’s Social Security number
—as part of its sweeping efforts to compile a federal voting database
The administration could use the database to investigate claims of noncitizen voting,
an obsession of Trump and other Republicans who claimed the 2020 election had been stolen through massive voter fraud.
In reality, the only ones concocting a scheme to fake votes in that election were in Donald Trump’s camp.

In Disturbing Move, Trump’s DOJ Demands Voting Data From States
It’s part of a sweeping project led by election deniers. Voting rights advocates are alarmed.

Predicting Module-Lattice Reduction
L\'eo Ducas, Lynn Engelberts, Paola de Perthuis
https://arxiv.org/abs/2510.10540 https://arxiv.org/pdf/2510.10540…

Predicting Module-Lattice Reduction
Is module-lattice reduction better than unstructured lattice reduction? This question was highlighted as 'Q8' in the Kyber NIST standardization submission (Avanzi et al., 2021), as potentially affecting the concrete security of Kyber and other module-lattice-based schemes. Foundational works on module-lattice reduction (Lee, Pellet-Mary, Stehlé, and Wallet, ASIACRYPT 2019; Mukherjee and Stephens-Davidowitz, CRYPTO 2020) confirmed the existence of such module variants of LLL and block-reduction…

🇺🇦 #NowPlaying on KEXP's #SeekAndDestroy
Powerwolf:
🎵 Werewolves of Armenia
#Powerwolf
https://powerwolf.bandcamp.com/track/werewolves-of-armenia-new-version-2020-2
https://open.spotify.com/track/13htaEMCCLphNfJbXIYz3t

/2
Aangezien dit geen functionele data deling is (DDG blokkeert de trackers en de app functioneert al jaren zo), is het duidelijk de vraag wat het doel dan wel is.
De verbinding met de overheid zelf zal alle nodige informatie geven.
#Overheid #DigiD #Datagraaien

Jährlicher Zubau und Rückbau von #Balkonsolarleistung in Deutschland mit Stand vom 25.07.2025.
Unplausible Inbetriebnahmedaten von 1900 bis 2015 wurden durch das Registrierungsdatum der #Steckersolaranlage ersetzt.

On generalized disc-polygons in plane convex bodies with a higher degree of smoothness
Ferenc Fodor, D\'aniel I. Papv\'ari
https://arxiv.org/abs/2509.11702 https://

On generalized disc-polygons in plane convex bodies with a higher degree of smoothness
We prove power series expansions for the expectations of the number of vertices and missed area of random $L$-convex polygons in planar convex bodies with sufficiently smooth boundaries. Random $L$-convex polygons arise as the intersection of all translates of a fixed convex set $L$ that contain i.i.d. uniform random points from a suitable plane convex body $K$. Our results extend the asymptotic formulas proved in Fodor, Papvári and Vígh (2020) and Fodor and Montenegro (2024), and have conseq…

The 'criminal alien' slander: A recent study of 150 years of US incarceration data found immigrant men were far less likely to be sent to prison than men born in the U.S. A 2020 study compared crime rates of undocumented immigrants vs. U.S.-born citizens: U.S.-born “are over 2x more likely to be arrested for violent crimes, 2.5x more likely to be arrested for drug crimes, and over 4x more likely to be arrested for property crimes.”
‘We Voted for Retribution’
https://www.aol.com/voted-retribution-200056494.html

Didn't realize this at the time but some time in 2020 my radio show surpassed the length of time it took for the confederacy to be established and die, now it's been more than double the amount lol

Comment on "A Note on Over-Smoothing for Graph Neural Networks"
Razi Hasson, Reuven Guetta
https://arxiv.org/abs/2509.04178 https://arxiv.org/pdf…

Comment on "A Note on Over-Smoothing for Graph Neural Networks"
We comment on Cai and Wang (2020, arXiv:2006.13318), who analyze over-smoothing in GNNs via Dirichlet energy. We show that under mild spectral conditions (including with Leaky-ReLU), the Dirichlet energy of node embeddings decreases exponentially with depth; we further extend the result to spectral polynomial filters and provide a short proof for the Leaky-ReLU case. Experiments on edge deletion and weight amplification illustrate when Dirichlet energy increases, hinting at practical ways to re…

Die ePetition 183278 an den Bundestag aus dem Bereich Berufsbildungsgesetz mit dem Titel
Nachträgliche Anerkennung der Bezeichnung ”Bachelor Professional” für vor 2020 erworbene Fachwirt-Abschlüsse
kann bis zum Montag 15. September 2025 01:00 UTC mitgezeichnet werden und lautet
Mit der Petition …

Alexandre Aebi, chercheur Š l'université de Neufchâtel :
"En matière de néonicotinoïdes, la seule dose acceptable, c’est zéro"
#agriculture #santé #pesticides

Expressive Power of Graph Transformers via Logic
Veeti Ahvonen, Maurice Funk, Damian Heiman, Antti Kuusisto, Carsten Lutz
https://arxiv.org/abs/2508.01067 https://

Expressive Power of Graph Transformers via Logic
Transformers are the basis of modern large language models, but relatively little is known about their precise expressive power on graphs. We study the expressive power of graph transformers (GTs) by Dwivedi and Bresson (2020) and GPS-networks by Rampásek et al. (2022), both under soft-attention and average hard-attention. Our study covers two scenarios: the theoretical setting with real numbers and the more practical case with floats. With reals, we show that in restriction to vertex properti…

A Computer-Assisted Proof of the Optimal Density Bound for Pinwheel Covering
Akitoshi Kawamura, Yusuke Kobayashi
https://arxiv.org/abs/2510.06533 https://a…

A Computer-Assisted Proof of the Optimal Density Bound for Pinwheel Covering
In the covering version of the pinwheel scheduling problem, a daily task must be assigned to agents under the constraint that agent $i$ can perform the task at most once in any $a_i$-day interval. In this paper, we determine the optimal constant $α^* = 1.264\ldots {}$ such that every instance with $\sum_{i} \frac{1}{a_i} \ge α^*$ is schedulable. This resolves an open problem posed by Soejima and Kawamura (2020). Our proof combines Kawamura's (2024) techniques for the packing version with new …

wiki_science: Wikipedia Map of Science (2020)
A network of scientific fields, extracted from the English Wikipedia in early 2020. Nodes are wikipedia pages representing natural, formal, social and applied sciences, and two nodes are linked if the cosine similarity of the page content is above a threshold. See <http://www.s…

2020 dwf felt very clever importing a Hong Kong model S20 so he could get the Snapdragon variant instead of the Exynos. Little did he realize 2025 dwf would be trying to install aftermarket firmware and that not being able to read Chinese characters might pose a _slight_ issue

Raiders fans will get chance to watch training camp practices https://www.reviewjournal.com/sports/raiders/raiders-fans-will-get-chance-to-watch-training-camp-practices-3399855/

Economic inequality has reached a staggering milestone in Silicon Valley:
just nine households hold 15% of the region’s wealth, according to new research from San Jose State University.
🔥A mere 0.1% of residents hold 71% of the tech hub’s wealth.
The findings come from the 2025 “Silicon Valley Pain Index”,
a report published by SJSU’s Human Rights Institute each year since 2020. The report aims to quantify “structured inequalities” in Silicon Valley, and measures “pai…

Permutation closure for multiple context-free languages
Andrew Duncan, Murray Elder, Lisa Frenkel, Mengfan Lyu
https://arxiv.org/abs/2509.22239 https://arx…

Permutation closure for multiple context-free languages
We prove that the \emph{permutation closure} of a multiple context-free language is multiple context-free, which extends work of Okhotin and Sorokin [LATA 2020] who showed closure under \emph{cyclic shift}, and complements work of Brandstädt [1981, RAIRO Inform. Théor.] (resp. Brough \emph{et al.} [2016, Discrete Math. Theor. Comput. Sci.]) who showed the same result for regular, context-sensitive, recursively enumerable (resp. EDT0L and ET0L) languages. In contrast to Okhotin and Sorokin who…

Localised Arrowheads: The building blocks of elastic turbulence in rectilinear, sheared polymer flows
Theo A. Lewy, Rich R. Kerswell
https://arxiv.org/abs/2509.26168 https://

Localised Arrowheads: The building blocks of elastic turbulence in rectilinear, sheared polymer flows
Pressure-driven flow of a dilute polymer solution has been numerically observed to possess a form of elastic turbulence which is organised around the interactions of localised versions of 2-dimensional `arrowhead' travelling waves (Page et al. Phys. Rev. Lett. 125, 154501, 2020). As a step to confirming this theoretically, we identify spanwise-localised arrowhead travelling waves by tracking a symmetry-breaking bifurcation of the known spanwise-invariant (2D) arrowhead to a spanwise-periodic st…

Absence of eigenvalues of electromagnetic Dirac operators
Naiara Arrizabalaga, Lucrezia Cossetti, Matias Morales
https://arxiv.org/abs/2509.03627 https://a…

Absence of eigenvalues of electromagnetic Dirac operators
In this work, we develop the method of multipliers for electromagnetic Dirac operators and establish sufficient conditions on the magnetic and electric fields that guarantee the absence of point spectrum. Our results can be viewed as a generalization of those obtained by Cossetti, Fanelli and Krejčiřík (2020), which treated the purely magnetic case. We also emphasize that, in the massless case, our approach covers Coulomb-type potentials of the form $V(x) = \frac{1}{|x|} \big(ν\ma…

faculty_hiring_us: Faculty hiring networks in the US (2022)
Networks of faculty hiring for all PhD-granting US universities over the decade 2011–2020. Each node is a PhD-granting institution, and a directed edge (i,j) indicates that a person received their PhD from node i and was tenure-track faculty at node j during time of collection (2011-2020). This dataset is divided into separate networks for all 107 fields, as well as aggregate networks for 8 domains, and an overall network for …

Dependency Network-Based Portfolio Design with Forecasting and VaR Constraints
Zihan Lin, Haojie Liu, Randall R. Rojas
https://arxiv.org/abs/2507.20039 https://

Dependency Network-Based Portfolio Design with Forecasting and VaR Constraints
This study proposes a novel portfolio optimization framework that integrates statistical social network analysis with time series forecasting and risk management. Using daily stock data from the S&P 500 (2020-2024), we construct dependency networks via Vector Autoregression (VAR) and Forecast Error Variance Decomposition (FEVD), transforming influence relationships into a cost-based network. Specifically, FEVD breaks down the VAR's forecast error variance to quantify how much each stock's shock…

Building crypto portfolios with agentic AI
Antonino Castelli, Paolo Giudici, Alessandro Piergallini
https://arxiv.org/abs/2507.20468 https://arxiv.org/pdf/…

Building crypto portfolios with agentic AI
The rapid growth of crypto markets has opened new opportunities for investors, but at the same time exposed them to high volatility. To address the challenge of managing dynamic portfolios in such an environment, this paper presents a practical application of a multi-agent system designed to autonomously construct and evaluate crypto-asset allocations. Using data on daily frequencies of the ten most capitalized cryptocurrencies from 2020 to 2025, we compare two automated investment strategies. …

Longitudinal review of portfolios with minimum variance approach before during and after the pandemic
Genjis A. Ossa, Luis H. Restrepo
https://arxiv.org/abs/2507.15111 https://

Longitudinal review of portfolios with minimum variance approach before during and after the pandemic
This study investigates the impact of the pandemic on the most traded stocks in the Colombian stock market for the date of January 17, 2024. Based on the daily data of the most traded companies in Colombia for said date and covering a period general from 2015 to 2023, in a summarized way our analysis reveals that in the period 2015-2019, the return reached 5.70%, with a relatively low risk of 18.45%. However, in the following period 2016 -2020, although the yield decreased to 5.40%, the risk ex…