Tootfinder

This https://arxiv.org/abs/2402.09448 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
This study aims to enhance BCI applications for individuals with motor impairments by comparing the effectiveness of tripolar EEG (tEEG) with conventional EEG. The focus is on interpreting and decoding various grasping movements, such as power grasp and precision grasp. The goal is to determine which EEG technology is more effective in processing and translating grasp related neural signals. The approach involved experimenting on ten healthy participants who performed two distinct grasp movemen…

This https://arxiv.org/abs/2502.11191 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Large Language Models (LLMs) have shown remarkable advancements in specialized fields such as finance, law, and medicine. However, in cybersecurity, we have noticed a lack of open-source datasets, with a particular lack of high-quality cybersecurity pretraining corpora, even though much research indicates that LLMs acquire their knowledge during pretraining. To address this, we present a comprehensive suite of datasets covering all major training stages, including pretraining, instruction fine-…

This https://arxiv.org/abs/2402.10346 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Wavelet compressed, modified Hilbert transform in the space-time discretization of the heat equation
On a finite time interval $(0,T)$, we consider the multiresolution Galerkin discretization of a modified Hilbert transform $\mathcal H_T$ which arises in the space-time Galerkin discretization of the linear diffusion equation. To this end, we design spline-wavelet systems in $(0,T)$ consisting of piecewise polynomials of degree $\geq 1$ with sufficiently many vanishing moments which constitute Riesz bases in the Sobolev spaces $H^{s}_{0,}(0,T)$ and $H^{s}_{,0}(0,T)$. These bases provide stable …

This https://arxiv.org/abs/2402.11871 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Real World to Logic and Back: Learning Generalizable Relational Concepts For Long Horizon Robot Planning
Humans efficiently generalize from limited demonstrations, but robots still struggle to transfer learned knowledge to complex, unseen tasks with longer horizons and increased complexity. We propose the first known method enabling robots to autonomously invent relational concepts directly from small sets of unannotated, unsegmented demonstrations. The learned symbolic concepts are grounded into logic-based world models, facilitating efficient zero-shot generalization to significantly more comple…

This https://arxiv.org/abs/2402.08151 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Perturbative partial moment matching and gradient-flow adaptive importance sampling transformations for Bayesian leave one out cross-validation
Importance sampling (IS) allows one to approximate leave one out (LOO) cross-validation for a Bayesian model, without refitting, by inverting the Bayesian update equation to subtract a given data point from a model posterior. For each data point, one computes expectations under the corresponding LOO posterior by weighted averaging over the full data posterior. This task sometimes requires weight stabilization in the form of adapting the posterior distribution via transformation. So long as one …

This https://arxiv.org/abs/2402.10330 has been replaced.
initial toot: https://mastoxiv.page/@a…

Quantum dynamics of semiconductor quantum dot Josephson junctions
Josephson junctions constructed from superconductor-semiconductor-superconductor heterostructures have been used to realize a variety of voltage-tunable superconducting quantum devices, including qubits and parametric amplifiers. To date theoretical descriptions of these systems have been restricted to small quantum fluctuations of the junction phase, making them inapplicable to many experiments. In this work we relax this, employing a path-integral formulation where the phase quantum dynamics …

Submillimeter galaxy overdensities around physically associated quasar pairs
Eileen Herwig, Fabrizio Arrigoni Battaia, Chian-Chou Chen, Aura Obreja, Marta Nowotka, Rhea-Silvia Remus, Hidenobu Yajima
https://arxiv.org/abs/2506.11193

Submillimeter galaxy overdensities around physically associated quasar pairs
A commonly employed method to detect protoclusters in the young universe is the search for overdensities of massive star forming galaxies, such as submillimeter galaxies (SMGs), around high-mass halos, including those hosting quasars. In this work, we study the Megaparsec environment surrounding nine physically associated quasar pairs between $z=2.45$ and $z=3.82$ with JCMT/SCUBA-2 observations at 450 $μ$m and 850 $μ$m covering a field of view of roughly 13.7 arcmin in diameter (or 32 Mpc$^2$…

Quirk SUEP
David Curtin, Sascha Dreyer, Max Fust\'e Costa, Sarah Heim, Gregor Kasieczka, Louis Moureaux, David Rousso, David Shih, Manuel Sommerhalder
https://arxiv.org/abs/2506.11192

Quirk SUEP
We propose searching for physics beyond the Standard Model in the low-transverse-momentum tracks accompanying hard-scatter events at the LHC. TeV-scale resonances connected to a dark QCD sector could be enhanced by selecting events with anomalies in the track distributions. As a benchmark, a quirk model with microscopic string lengths is developed, including a setup for event simulation. For this model, strategies are presented to enhance the sensitivity compared to inclusive resonance searches…

Machine Learning Acceleration of Neutron Star Pulse Profile Modeling
Preston G. Waldrop, Dimitrios Psaltis, Tong Zhao
https://arxiv.org/abs/2506.11194 http…

Machine Learning Acceleration of Neutron Star Pulse Profile Modeling
Ray tracing algorithms that compute pulse profiles from rotating neutron stars are essential tools for constraining neutron-star properties with data from missions such as NICER. However, the high computational cost of these simulations presents a significant bottleneck for inference algorithms that require millions of evaluations, such as Markov Chain Monte Carlo methods. In this work, we develop a residual neural network model that accelerates this calculation by predicting the observed flux …

Unlocking time-dependent $CP$ violation without signal vertexing at $B$ factories
Mirco Dorigo, Sebastiano Raiz, Diego Tonelli, Radek Zlebcik
https://arxiv.org/abs/2506.11196

Unlocking time-dependent $CP$ violation without signal vertexing at $B$ factories
We present a novel method to measure, without reconstructing the signal decay vertex, time-dependent $CP$ violation in $B^0$ mesons produced in energy-asymmetric electron-positron collisions near the $Υ(4S)$ resonance. The method relies on quantum-entangled $B^0\overline{B}^0$ pair-production making the decay time of the partner meson sensitive to $CP$ violation of the signal. We derive analytical expressions for the relevant time-evolution and study, as a use case, an application to $B^0\toπ…