Tootfinder

🇺🇦 #NowPlaying on KEXP's #DriveTime
Field Music:
🎵 Orion From The Street
#FieldMusic
https://fieldmusic.bandcamp.com/album/orion-from-the-street
https://open.spotify.com/track/3e1Wpv9mn7onVToGSAMbuS

Mamdani surges in new poll, leading Cuomo for first time in New York mayor's race (Politico)
https://www.politico.com/news/2025/06/11/zohran-mamdani-climbs-to-top-of-poll-leading-andrew-cuomo-00401594
http://www.memeorandum.com/250611/p165#a250611p165

ONLINE TALK> “Another Shōtoku: History and Mythmaking in Modern Japanese Religion” A Virtual Book Talk with Dr. Orion Klautau, Tohoku University
https://ift.tt/lQD9oWy
When did aliens become a problem? The Mediterranean Association for Marine Biology and Oceanology in…
via Input 4 RELCFP

On the Bernstein-smoothed lower-tail Spearman's rho estimator
Fr\'ed\'eric Ouimet, Selim Orhun Susam
https://arxiv.org/abs/2506.08857 https://

On the Bernstein-smoothed lower-tail Spearman's rho estimator
This note develops a Bernstein estimator for lower-tail Spearman's rho and establishes its strong consistency and asymptotic normality under mild regularity conditions. Smoothing the empirical copula yields a strictly smaller mean squared error (MSE) in tail regions by lowering sampling variance relative to the classical Spearman's rho estimator. A Monte Carlo simulation experiment with the Farlie--Gumbel--Morgenstern copula demonstrates variance reductions that translate into lower MSE estimat…

Sentinel: SOTA model to protect against prompt injections
Dror Ivry, Oran Nahum
https://arxiv.org/abs/2506.05446 https://arxiv.org/pd…

Sentinel: SOTA model to protect against prompt injections
Large Language Models (LLMs) are increasingly powerful but remain vulnerable to prompt injection attacks, where malicious inputs cause the model to deviate from its intended instructions. This paper introduces Sentinel, a novel detection model, qualifire/prompt-injection-sentinel, based on the \answerdotai/ModernBERT-large architecture. By leveraging ModernBERT's advanced features and fine-tuning on an extensive and diverse dataset comprising a few open-source and private collections, Sentinel …

Closure of the sea surface height budget with a Stokes offset
J\"orn Callies, Charly de Marez, Jinbo Wang, Bruce Haines
https://arxiv.org/abs/2506.06956

Closure of the sea surface height budget with a Stokes offset
The sea surface height budget, obtained by integrating hydrostatic balance over the water column, relates sea surface height variations to variations of the seafloor pressure, density in the water column, and atmospheric surface pressure. This budget is crucial for calibrating and interpreting satellite altimetry measurements. It only holds once non-hydrostatic surface gravity waves are averaged out, however, which complicates an observational closure of the budget. Using data from the Californ…

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Matth\"aus Zloch, Danilo Dess\`i, Jennifer D'Souza, Leyla Jael Castro, Benjamin Zapilko, Saurav Karmakar, Brigitte Mathiak, Markus Stocker, Wolfgang Otto, S\"oren Auer, Stefan Dietze
https://arxiv.org/abs/2506.07285

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Sharing and reusing research artifacts, such as datasets, publications, or methods is a fundamental part of scientific activity, where heterogeneity of resources and metadata and the common practice of capturing information in unstructured publications pose crucial challenges. Reproducibility of research and finding state-of-the-art methods or data have become increasingly challenging. In this context, the concept of Research Knowledge Graphs (RKGs) has emerged, aiming at providing an easy to u…

A New Lifetime Distribution: Exponentiated Exponential-Pareto-HalfNormal Mixture Model for Biomedical Applications
Oriyomi Ahmad Hassan, Aisha Tunrayo Maradesa, Abdulazeez Toyosi Alabi, Oyejide Surajudeen Salam, Ajani Busari, Akinwale Victor Famotire, Habeeb Abiodun Afolabi, Solomon Adeleke, Abayomi Ayodele Akomolafe
https://arx…

A New Lifetime Distribution: Exponentiated Exponential-Pareto-HalfNormal Mixture Model for Biomedical Applications
This study introduces the Exponentiated-Exponential-Pareto-Half Normal Mixture Distribution (EEPHND), a novel hybrid model developed to overcome the limitations of classical distributions in modeling complex real-world data. By compounding the Exponentiated-Exponential-Pareto (EEP) and Half-Normal distributions through a mixture mechanism, EEPHND effectively captures both early-time symmetry and long-tail behavior, features which are commonly observed in survival and reliability data. The model…

Exoplaneteers Keep Overestimating Sigma Significances
David Kipping, Bj\"orn Benneke
https://arxiv.org/abs/2506.05392 https://ar…

Exoplaneteers Keep Overestimating Sigma Significances
Astronomers, and in particular exoplaneteers, have a curious habit of expressing Bayes factors as frequentist sigma values. This is of course completely unnecessary and arguably rather ill-advised. Regardless, the practice is common - especially in the detection claims of chemical species within exoplanet atmospheres. The current canonical conversion strategy stems from a statistics paper from Sellke et al. (2001), who derived an upper bound on the Bayes factor between the test and null hypothe…

Orbital Stability of Plane Waves in the Klein-Gordon Equation against Localized Perturbations
Emile Bukieda, Louis Gar\'enaux, Bj\"orn de Rijk
https://arxiv.org/abs/2506.06029

Orbital Stability of Plane Waves in the Klein-Gordon Equation against Localized Perturbations
We investigate the stability and long-term behavior of spatially periodic plane waves in the complex Klein-Gordon equation under localized perturbations. Such perturbations render the wave neither localized nor periodic, placing its stability analysis outside the scope of the classical orbital stability theory for Hamiltonian systems developed by Grillakis, Shatah, and Strauss. Inspired by Zhidkov's work on the stability of time-periodic, spatially homogeneous states in the nonlinear Schröding…