Tootfinder

Canonical Thermodynamics
Arnaldo Spalvieri
https://arxiv.org/abs/2506.21650 https://arxiv.org/pdf/2506.21650

Canonical Thermodynamics
In the paper, thermodynamics of canonical systems is derived from the multinomial distribution of the occupancy numbers of quantum eigenstates. The cathegorical distribution (i.e. the one-particle distribution) on which the multinomial distribution is based, should be derived from the maximum entropy principle, but, being the multinomial distribution intractable, the paper proposes to take instead the Boltzmann distribution as cathegorical distribution, discussing the reason why the entropy of …

Exact distribution of discrete-time D-BMAP/G/\inf queueing model
Tonglin Liao, Youming Li
https://arxiv.org/abs/2505.23178 https://ar…

Exact distribution of discrete-time D-BMAP/G/\inf queueing model
In this paper, we consider discrete-time D-BMAP/G/\inf queueing model. We construct effective discrete-time Markovian dynamics for this model and utilize it to derive exact time-dependent distribution of customer number and the corresponding moments for the original queueing model. Numerical simulations are used to verify our results. Using our result, we provide analytical distribution for discrete-time M/M/\inf, and then compare it with the distribution of continuous-time M/M/\inf.

Stress distribution in elastic disks with a hole under uniaxial compression
Ken Okamura, Yosuke Sato, Satoshi Takada
https://arxiv.org/abs/2505.21984 https…

Stress distribution in elastic disks with a hole under uniaxial compression
This paper investigates the stress and displacement distribution in a two-dimensional elastic hollow disk subjected to distributed diametric loading, extending our previous analysis of concentrated loading [Okamura et al. Strength Mater. 57, 102-114 (2025)]. The study provides deeper insights into the mechanical behavior of materials such as concrete and rock by examining the effects of load distribution on stress localization and displacement patterns. Using elastodynamic theory, we derive the…

The spectral energy distribution of extreme population A quasars
Karla Garnica, Deborah Dultzin, Paola Marziani, Swayamtrupta Panda
https://arxiv.org/abs/2505.22912

The spectral energy distribution of extreme population A quasars
Knowledge of the broad-band active galactic nuclei (AGN) spectral energy distribution (SED) that ionizes the gas-rich broad emission line region is key to understanding the various radiative processes at play and their importance that eventually leads to the emission line formation. We modeled a spectral energy distribution for highly accreting quasars, also known as extreme population A sources, based mainly on observational data available in astronomical databases, and on accretion disk model…

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Alireza Zabihi, Luis Badesa, Araceli Hernandez
https://arxiv.org/abs/2505.23435

Evaluation of Voltage Unbalance Metrics in Distribution Networks with High DER Penetration
Voltage unbalance, caused by variations in voltage magnitude and phase angle, is a significant power quality issue in three-phase systems, leading to equipment inefficiencies and increased system losses. The integration of distributed energy resources (DER) into the grid adds complexity, as DER can either reduce or worsen voltage unbalance, depending on factors such as grid configuration and the distribution of loads and DER themselves. This study explores the effects of DER penetration on volt…

Offline Map Matching Based on Localization Error Distribution Modeling
Ruilin Xu, Yuchen Song, Kaijie Li, Xitong Gao, Kejiang Ye, Fan Zhang, Juanjuan Zhao
https://arxiv.org/abs/2505.23123

Offline Map Matching Based on Localization Error Distribution Modeling
Offline map matching involves aligning historical trajectories of mobile objects, which may have positional errors, with digital maps. This is essential for applications in intelligent transportation systems (ITS), such as route analysis and traffic pattern mining. Existing methods have two main limitations: (i) they assume a uniform Localization Error Distribution (LED) across urban areas, neglecting environmental factors that lead to suboptimal path search ranges, and (ii) they struggle to ef…

This https://arxiv.org/abs/2504.19845 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Synchrotron Circular Polarization in Gamma-Ray Burst Prompt Optical Emission: Relativistic Thermal Electron Contribution
Synchrotron circular polarization of a non-thermal power-law electron distribution in gamma-ray bursts (GRBs) has been studied. However, some numerical simulations have shown that the resulting distribution of electrons is a combination of a thermal component and a non-thermal power-law component. In this paper, we investigate synchrotron circular polarization using such a hybrid energy distribution of relativistic thermal and nonthermal electrons within a globally toroidal magnetic field in GR…

I don't *need* a DMX-controlled fan. But...
DMX CONTROLLED FAN!
https://www.guitarcenter.com/American-DJ/Entour-Cyclone-Pro-Distribution-Fan-Black-1500000144572.gc

I don't *need* a DMX-controlled fan. But...
DMX CONTROLLED FAN!
https://www.guitarcenter.com/American-DJ/Entour-Cyclone-Pro-Distribution-Fan-Black-1500000144572.gc

from my link log —
A non-uniform quasirandom number generator for games.
https://taylorpetrick.com/blog/post/quasi-random-dist
saved 2024-08-15

A Quasi-Random Number Generator
I decided to implement a non-uniform random number generator for use in video games. The purpose of the technique is produce random events that are more consistent than a uniform distribution, similar to stratified sampling.

On the concentration distribution in turbulent thermals
Ludovic Huguet, Victor Lherm, Renaud Deguen, Joris Heyman, Tanguy Le Borgne
https://arxiv.org/abs/2505.21707

On the concentration distribution in turbulent thermals
Turbulent thermals emerge in a wide variety of geophysical and industrial flows, such as atmospheric cumulus convection and pollutant dispersal in oceans and lakes. They form when a volume of buoyant fluid, arising from thermal or compositional density differences, is instantly released from a source. As they rise or sink, heat and mass transfers are likely to occur with the surrounding environment, spanning multiple scales from macroscopic entrainment of ambient fluid to microscopic diffusive …

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution
Lukas Sablica, Kurt Hornik
https://arxiv.org/abs/2506.21278 https://

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution
We propose a novel variational autoencoder (VAE) architecture that employs a spherical Cauchy (spCauchy) latent distribution. Unlike traditional Gaussian latent spaces or the widely used von Mises-Fisher (vMF) distribution, spCauchy provides a more natural hyperspherical representation of latent variables, better capturing directional data while maintaining flexibility. Its heavy-tailed nature prevents over-regularization, ensuring efficient latent space utilization while offering a more expres…

This https://arxiv.org/abs/2401.17909 has been replaced.
link: https://scholar.google.com/scholar?q=a

Regularizing Fairness in Optimal Policy Learning with Distributional Targets
A decision maker typically (i) incorporates training data to learn about the relative effectiveness of treatments, and (ii) chooses an implementation mechanism that implies an ``optimal'' predicted outcome distribution according to some target functional. Nevertheless, a fairness-aware decision maker may not be satisfied achieving said optimality at the cost of being ``unfair" against a subgroup of the population, in the sense that the outcome distribution in that subgroup deviates too strongly…

This https://arxiv.org/abs/2505.10754 has been replaced.
initial toot: https://mastoxiv.page/@a…

Conservative velocity mappings for discontinuous Galerkin kinetics
Continuum computational kinetic plasma models evolve the distribution function of a plasma species $f_s$ on a phase-space grid over time. In many problems of interest the distribution function has limited extent in velocity space, hence using a highly refined mesh everywhere would be costly and slow. Nonuniform velocity grids can reduce the computational cost by placing more degrees of freedom where $f_s$ is appreciable and fewer where it is not. In this work we introduce a first-of-its kind di…

🚀 Opening new frontiers with the first major in-the-field demo of practical quantum communications!
Read in the latest issue of the Nature Magazine about the first practical demonstration of Quantum Key Distribution (QKD) within commercial telecom networks - a breakthrough in the field, achieved by a team from Toshiba Europe, GÉANT, PSNC, and Anglia Ruskin University.
A major step towards a scalable, secure, and practical quantum internet.
Learn more:

Toshiba Europe, GÉANT, PSNC and Anglia Ruskin University announce the first demonstration of Quantum Key Distribution within commercial telecommunication networks | GÉANT CONNECT Online
As reported in Nature, GÉANT, Toshiba Europe limited, PSNC and Anglia Ruskin University came together to work on the first major in-the-field demonstration of practical quantum communications using telecoms standard equipment and infrastructure. The experiment was conducted in Germany, with access to the network infrastructure provided by GÉANT. Communication was established over a link spanning

Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation
Shengjie Liu, Chenyang Yang
https://arxiv.org/abs/2506.21208

Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation
Deep neural networks (DNNs) have widespread applications for optimizing resource allocation. Yet, their performance is vulnerable to distribution shifts between training and test data, say channels. In this letter, we resort to adversarial training (AT) for enhancing out-of-distribution (OOD) generalizability of DNNs trained in unsupervised manner. We reformulate AT to capture the OOD degradation, and propose a one-step gradient ascent method for AT. The proposed method is validated by optimizi…

This https://arxiv.org/abs/2504.21333 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On the distribution of $αp^2$ modulo one over primes of the form $[n^c]$
Let $[\, \cdot\,]$ be the floor function and $\|x\|$ denote the distance from $x$ to the nearest integer. In this paper we show that whenever $α$ is irrational and $β$ is real then for any fixed $\frac{13}{14}<γ<1$, there exist infinitely many prime numbers $p$ satisfying the inequality \begin{equation*} \|αp^2+β\|< p^{\frac{13-14γ}{29}+\varepsilon} \end{equation*} and such that $p=[n^{1/γ}]$.

This https://arxiv.org/abs/2505.03551 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

From Mass-Shell Factorisation to Spin: An Attempt at a Matrix-Valued Liouville Framework for Relativistic Classical and Quantum Phase-Spacetime
While Liouville's theorem is first-order in time for the phase-space distribution itself, the relativistic mass-shell constraint $p^μp_μ= m^2$ is naively second-order in energy. We argue that it is reasonable to unify both energy branches within a single Hamiltonian by factorizing $(p^2 - m^2)$ in analogy with Dirac's approach in relativistic quantum mechanics. We show the resulting matrix-based Liouville equation remains first order and naturally yields a $4\times4$ matrix-valued probability…

Handy-Linux postmarketOS: v25.06 setzt auf systemd
Die Linux-Distribution fürs Smartphone setzt in der Version 25.06 auf systemd. 60 Geräte unterstützt postmarketOS nun.
https://www.

'It's a Killing Field':
IDF Soldiers Ordered to Shoot Deliberately at Unarmed Gazans Waiting for Humanitarian Aid
IDF officers and soldiers told Haaretz they were ordered to fire at unarmed crowds near food distribution sites in Gaza,
even when no threat was present.
Hundreds of Palestinians have been killed, prompting the military prosecution to call for a review into possible war crimes
■ Netanyahu, Katz reject claims, call them 'blood libels…

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration
Sanberk Serbest, Tijana Stojkovic, Milos Cernak, Andrew Harper
https://arxiv.org/abs/2505.23515

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration
In this work, we propose a full-band real-time speech enhancement system with GAN-based stochastic regeneration. Predictive models focus on estimating the mean of the target distribution, whereas generative models aim to learn the full distribution. This behavior of predictive models may lead to over-suppression, i.e. the removal of speech content. In the literature, it was shown that combining a predictive model with a generative one within the stochastic regeneration framework can reduce the …

Codimension one distributions of degree 3 on the three-dimensional projective space
Hugo Galeano, Orlando Chaljub
https://arxiv.org/abs/2505.23241 https://…

Codimension one distributions of degree 3 on the three-dimensional projective space
We make a classification of codimension one degree 3 distributions on the projective three space, giving possible Chern classes of the tangent sheaf and describing de zero and one dimensional components of the singular scheme of the distribution. Also, we show the existence and describe some moduli spaces of such distributions, using the concept of stability of the tangent sheaf.

Characteristic solutions of the chain of Vlasov equations
E. E. Perepelkin, B. I. Sadovnikov, N. G. Inozemtseva, A. S. Medvedev
https://arxiv.org/abs/2506.22377

Characteristic solutions of the chain of Vlasov equations
A new method has been presented of constructing a class of exact solutions of an infinite self-linking chain of the Vlasov equations for distribution functions of kinematic quantities of all orders. Using the characteristic transformation of variables proposed in this paper, any equation from the Vlasov chain can be reduced to the mathematical form of the first Vlasov equation. Since the solution of the first Vlasov equation can be found by the solution of the Schrödinger equation, the authors…

TL;DR: Before the US bullied the International Criminal Court chief prosecutor its office was about to submit international arrest warrants against racist Israeli government members Ben Gvir and Bezalel Smotrich.
"ICC reportedly weighed arrest warrants for Ben-Gvir, Smotrich before prosecutor's leave"

If you build it, they will come.
UK DSO National Grid Energy Distribution has worked to remove barriers for consumer energy resources participating in its local flexibility market. With great success, over 50% of all #EV chargers in its area are now registered.

If you build it, they will come | Jaap Burger
If you build it, they will come Applying that well-worn phrase here: 'It' is a local flexibility market. 'They' refers to the flexibility inherent in EV home charging that has not previously been used to support the local grid. National Grid Electricity Distribution's impressive statistics show that more than 50% of EV chargers in its area are registered to deliver flexibility services. In terms of the number of assets, 90% of those registered are from domestic households, mainly in the form …

Projected Normal Distribution: Moment Approximations and Generalizations
Daniel Herrera-Esposito, Johannes Burge
https://arxiv.org/abs/2506.17461 https://

Projected Normal Distribution: Moment Approximations and Generalizations
The projected normal distribution, also known as the angular Gaussian distribution, is obtained by dividing a multivariate normal random variable $\mathbf{x}$ by its norm $\sqrt{\mathbf{x}^T \mathbf{x}}$. The resulting random variable follows a distribution on the unit sphere. No closed-form formulas for the moments of the projected normal distribution are known, which can limit its use in some applications. In this work, we derive analytic approximations to the first and second moments of the …

This https://arxiv.org/abs/2503.18031 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

$\ast$-$η$-Ricci solitons and Einstein metrics on a weak $β$-Kenmotsu manifold
Weak almost contact manifolds (i.e., the complex structure on the contact distribution is replaced by a nonsingular skew-symmetric tensor), defined by the author and R. Wolak, allow a new look at the classical theory. An important case of these manifolds, which is locally a twisted or warped product, is a weak $β$-Kenmotsu manifold defined by the author and D.S. Patra. In the paper, the concept of the $*$-Ricci tensor is adapted to weak almost contact manifolds, the interaction of the $*$-$η$…

Sources: Apple execs discussed starting their own theatrical distribution unit; Warner Bros. is distributing the F1 movie and getting a share of the box office (Wall Street Journal)
https://www.wsj.com/business/media/f1-movie-apple-brad-pitt-0b2afaee…

MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
Yunkee Chae, Kyogu Lee
https://arxiv.org/abs/2505.23305 https://

MGE-LDM: Joint Latent Diffusion for Simultaneous Music Generation and Source Extraction
We present MGE-LDM, a unified latent diffusion framework for simultaneous music generation, source imputation, and query-driven source separation. Unlike prior approaches constrained to fixed instrument classes, MGE-LDM learns a joint distribution over full mixtures, submixtures, and individual stems within a single compact latent diffusion model. At inference, MGE-LDM enables (1) complete mixture generation, (2) partial generation (i.e., source imputation), and (3) text-conditioned extraction …

This https://arxiv.org/abs/2408.04864 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

The evolving role of astrophysical modelling in dark matter halo relaxation response
We study the change in the radial distribution of dark matter within haloes in response to baryonic astrophysical processes in galaxies at different epochs, investigating the role of astrophysical modeling in cosmological hydrodynamic simulations in producing the response. We find that the linear quasi-adiabatic relaxation with additional dependence on the halo-centric distance provides a good description not only at $z=0$, but also at an earlier epoch ($z=1$) in the IllustrisTNG simulation sui…

This https://arxiv.org/abs/2502.18710 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Bridging Critical Gaps in Convergent Learning: How Representational Alignment Evolves Across Layers, Training, and Distribution Shifts
Understanding convergent learning -- the degree to which independently trained neural systems -- whether multiple artificial networks or brains and models -- arrive at similar internal representations -- is crucial for both neuroscience and AI. Yet, the literature remains narrow in scope -- typically examining just a handful of models with one dataset, relying on one alignment metric, and evaluating networks at a single post-training checkpoint. We present a large-scale audit of convergent lear…

Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems
Janine Strotherm, Julian Rolfes, Barbara Hammer
https://arxiv.org/abs/2506.17270…

Existence and Uniqueness of Physically Correct Hydraulic States in Water Distribution Systems -- A theoretical analysis on the solvability of non-linear systems of equations in the context of water distribution systems
Planning and extension of water distribution systems (WDSs) plays a key role in the development of smart cities, driven by challenges such as urbanization and climate change. In this context, the correct estimation of physically correct hydraulic states, i.e., pressure heads, water demands and water flows, is of high interest. Hydraulic emulators such as EPANET or more recently, physic-informed surrogate models are used to solve this task. They require a subset of observed states, such as heads…

Window observables for benchmarking parton distribution functions
Joe Karpie, Christopher J. Monahan, Kostas Orginos, Savvas Zafeiropoulos
https://arxiv.org/abs/2505.22795

Window observables for benchmarking parton distribution functions
Global analysis of collider and fixed-target experimental data and calculations from lattice quantum chromodynamics (QCD) are used to gain complementary information on the structure of hadrons. We propose novel ``window observables'' that allow for higher precision cross-validation between the different approaches, a critical step for studies that wish to combine the datasets. Global analyses are limited by the kinematic regions accessible to experiment, particularly in a range of Bjorken-$x$, …

Online Fair Division for Personalized $2$-Value Instances
Georgios Amanatidis, Alexandros Lolos, Evangelos Markakis, Victor Turmel
https://arxiv.org/abs/2505.22174

Online Fair Division for Personalized $2$-Value Instances
We study an online fair division setting, where goods arrive one at a time and there is a fixed set of $n$ agents, each of whom has an additive valuation function over the goods. Once a good appears, the value each agent has for it is revealed and it must be allocated immediately and irrevocably to one of the agents. It is known that without any assumptions about the values being severely restricted or coming from a distribution, very strong impossibility results hold in this setting. To bypass…

This https://arxiv.org/abs/2406.11975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Fast uncovering of protein sequence diversity from structure
We present InvMSAFold, an inverse folding method for generating protein sequences that is optimized for diversity and speed. For a given structure, InvMSAFold generates the parameters of a probability distribution over the space of sequences with pairwise interactions, capturing the amino acid covariances observed in Multiple Sequence Alignments (MSA) of homologous proteins. This allows for the efficient generation of highly diverse protein sequences while preserving structural and functional i…

DirecTV strikes a distribution agreement with Paramount Global, and unveils a $20/month MyKids plan with content from Paramount, Disney, WBD, and more (Matthew Keys/TheDesk.net)
https://thedesk.net/2025/06/directv-mykids-plan-paramount-global-channels/…

DirecTV launches kid-focused plan after integrating Paramount-owned channels into genre packs
CBS-owned broadcast stations and cable networks like MTV, Paramount Network, Comedy Central and Nickelodeon are joining DirecTV's streaming genre-based packages.

This https://arxiv.org/abs/2504.08297 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Quantitative Lineshape Analysis for Arbitrary Inhomogeneity in Two-Dimensional Coherent Spectroscopy
Two-dimensional coherent spectroscopy (2DCS) provides simultaneous measurement of homogeneous and inhomogeneous linewidths through quantitative lineshape analysis. However, conventional lineshape analysis methods assume Gaussian inhomogeneity, limiting its applicability to systems with non-Gaussian inhomogeneity. We present a quantitative lineshape analysis method incorporating arbitrary inhomogeneity using a bivariate spectral distribution function in 2DCS simulations. An algorithm is develope…

Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
Philipp Ertz, Petra Friederichs
https://arxiv.org/abs/2505.22182

Post-processing of wind gusts from COSMO-REA6 with a spatial Bayesian hierarchical extreme value model
The aim of this study is to provide a probabilistic gust analysis for the region of Germany that is calibrated with station observations and with an interpolation to unobserved locations. To this end, we develop a spatial Bayesian hierarchical model (BHM) for the post-processing of surface maximum wind gusts from the COSMO-REA6 reanalysis. Our approach uses a non-stationary extreme value distribution for the gust observations, with parameters that vary according to a linear model using COSMO-RE…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection
Caetano, Viviers, Zavala-Mondrag\'on, de With, van der Sommen

On unbiased estimators for functions of the rate parameter of the exponential distribution
Roberto Vila, Eduardo Yoshio Nakano
https://arxiv.org/abs/2506.20005

On unbiased estimators for functions of the rate parameter of the exponential distribution
In this paper, we explicitly derive unbiased estimators for various functions of the rate parameter of the exponential distribution, including powers of the rate parameter, the $q$th quantile, the $p$th moment, the survival function, the maximum, minimum, probability density function, mean past lifetime, moment generating function, and others. It is also noteworthy that this work corrects a general formula originally proposed by Tate, R. F. (Ann. Math. Statist., 30(2): 341-366, 1959) for constr…

Distributional Consequences of Political Freedom: Inequality in Transition Countries
Monika Weso{\l}owska, S{\l}awomir Ku\'zmar, Bartosz Totleben
https://arxiv.org/abs/2505.23336

Distributional Consequences of Political Freedom: Inequality in Transition Countries
This article addresses the origins of income inequality in post-socialist countries from Central and Eastern Europe and Central Asia, from 1991 to 2016. The aim is to analyze the relationship between democracy and income inequality. In previous studies, this topic has led to ambiguous findings, especially in the context of the group of countries we are focusing on. We examine whether the process of democratization cooccurred with changes in income distribution over the entire period under study…

Tight simulation of a distribution using conditional samples
Tomer Adar
https://arxiv.org/abs/2506.18444 https://arxiv.org/pdf/2506.1…

Tight simulation of a distribution using conditional samples
We present an algorithm for simulating a distribution using prefix conditional samples (Adar, Fischer and Levi, 2024), as well as ``prefix-compatible'' conditional models such as the interval model (Cannone, Ron and Servedio, 2015) and the subcube model (CRS15, Bhattacharyya and Chakraborty, 2018). The conditional sample complexity is $O(\log^2 N / \varepsilon^2)$ prefix conditional samples per query, which improves on the previously known $\tilde{O}(\log^3 N / \varepsilon^2)$ (Kumar, Meel and …

Physical Limits of Entanglement-Based Quantum Key Distribution over Long-Distance Satellite Links
Mohammad Taghi Dabiri, Mazen Hasna, Saif Al-Kuwari, Khalid Qaraqe
https://arxiv.org/abs/2506.20798

Physical Limits of Entanglement-Based Quantum Key Distribution over Long-Distance Satellite Links
Entanglement-based quantum key distribution (QKD) protocols, such as E91 and BBM92, offer strong information-theoretic security and are naturally suited for satellite-to-satellite QKD (SatQKD) links. However, implementing these protocols over long-distance inter-satellite free-space optical (FSO) channels poses critical physical-layer challenges that are not addressed in the existing literature. In particular, photon losses due to beam divergence, pointing errors, and background noise can sever…

Approximating the Particle Distribution in Rotating and Tandem Mirror Traps
Greta X. Li, Elijah J. Kolmes, Ian E. Ochs, Nathaniel J. Fisch
https://arxiv.org/abs/2505.19483

Approximating the Particle Distribution in Rotating and Tandem Mirror Traps
Steady state distribution functions can be used to calculate stability conditions for modes, radiation energy losses, and particle loss rates. Heuristic analytic approximations to these distributions can capture key behaviors of the true distributions while possessing computational advantages over their numerical counterparts. In this paper, we motivate and present a closed-form analytic model for a distribution of particles in a centrifugal or tandem mirror. We find that our model outperforms …

Constructing prediction intervals for the age distribution of deaths
Han Lin Shang, Steven Haberman
https://arxiv.org/abs/2506.17953 https://

Constructing prediction intervals for the age distribution of deaths
We introduce a model-agnostic procedure to construct prediction intervals for the age distribution of deaths. The age distribution of deaths is an example of constrained data, which are nonnegative and have a constrained integral. A centered log-ratio transformation and a cumulative distribution function transformation are used to remove the two constraints, where the latter transformation can also handle the presence of zero counts. Our general procedure divides data samples into training, val…

Extensions of homogeneous distributions on deformations to the normal cone
Moudrik Chamoux
https://arxiv.org/abs/2505.22885 https://a…

Extensions of homogeneous distributions on deformations to the normal cone
On a deformation to the normal cone $\operatorname{DNC}(M,V)$ we show that given a distribution $u\in\mathcal{D}'(\operatorname{DNC}(M,V)\setminus V\times\mathbb{R})$ if $u$ is homogeneous of order $a$ for the zoom action, then it admits an $a$-homogeneous extension $\widetilde{u}\in\mathcal{D}'(\operatorname{DNC}(M,V))$. We describe all such extensions and discuss briefly about how it translates to the work of Van Erp and Yuncken in arXiv:2303.15787 . The technique used come from the results o…

Can tidal evolution lead to close-in planetary bodies around white dwarfs I: Orbital period distribution
Yuqi Li, Amy Bonsor, Oliver Shorttle, Laura K. Rogers
https://arxiv.org/abs/2506.20301

Can tidal evolution lead to close-in planetary bodies around white dwarfs I: Orbital period distribution
The evolution of planetary systems around white dwarfs is crucial to understanding the presence of planetary material in the atmospheres of white dwarfs. These systems uniquely probe exoplanetary compositions. Periodic signals in the photometry of a handful of white dwarfs suggest material blocking the star, potentially from disintegrating planetesimals. Tidal evolution followed by scattering can bring planetesimals onto close-in orbits that would have been within the envelope of the white dwar…

Phase transitions in the Prisoner's Dilemma game on the Barab\'asi-Albert graph with participation cost
Jacek Mi\c{e}kisz, Javad Mohamadichamgavi
https://arxiv.org/abs/2505.23370

Phase transitions in the Prisoner's Dilemma game on the Barabási-Albert graph with participation cost
We examine the impact of the maintenance cost of social links on cooperative behavior in the Prisoner's Dilemma game on the Barabási-Albert scale-free network with a pairwise stochastic imitation. We show by means of Monte Carlo simulations and pair approximation that the cooperation frequency changes abruptly from an almost full cooperation to a much smaller value when we increase the cost of maintaining links. In the critical region, the stationary distribution is bi-modal and the system osc…

GGTalker: Talking Head Systhesis with Generalizable Gaussian Priors and Identity-Specific Adaptation
Wentao Hu, Shunkai Li, Ziqiao Peng, Haoxian Zhang, Fan Shi, Xiaoqiang Liu, Pengfei Wan, Di Zhang, Hui Tian
https://arxiv.org/abs/2506.21513

GGTalker: Talking Head Systhesis with Generalizable Gaussian Priors and Identity-Specific Adaptation
Creating high-quality, generalizable speech-driven 3D talking heads remains a persistent challenge. Previous methods achieve satisfactory results for fixed viewpoints and small-scale audio variations, but they struggle with large head rotations and out-of-distribution (OOD) audio. Moreover, they are constrained by the need for time-consuming, identity-specific training. We believe the core issue lies in the lack of sufficient 3D priors, which limits the extrapolation capabilities of synthesized…

The OVz stars in NGC 346: distribution, stellar parameters and insights into low-metallicity effects
Leidy Arango, Julia Arias, Gonzalo Holgado, Gabriel Ferrero, Cristina Putkuri, Nidia Morrell
https://arxiv.org/abs/2506.19190

The OVz stars in NGC 346: distribution, stellar parameters and insights into low-metallicity effects
OVz stars are identified by their optical spectra, in which the He II 4686 absorption line is stronger than any other He line. This spectral characteristic suggests that these stars may be less luminous, less evolved, and located closer to the zero-age main sequence (ZAMS). Although their evolutionary status is still debated, OVz stars are key candidates for understanding the earliest stages of massive star evolution. In this study, we analyze OVz stars in the star-forming regions NGC 346 in th…

This https://arxiv.org/abs/2411.02494 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Cosmology with Binary Neutron Stars: Does Mass-Redshift Correlation Matter?
Next-generation gravitational wave detectors are expected to detect millions of compact binary mergers across cosmological distances. The features of the mass distribution of these mergers, combined with gravitational wave distance measurements, will enable precise cosmological inferences, even without the need for electromagnetic counterparts. However, achieving accurate results requires modeling the mass spectrum, particularly considering possible redshift evolution. Binary neutron star (BNS)…

Organizational Regularities in Recurrent Neural Networks
Claus Metzner, Achim Schilling, Andreas Maier, Patrick Krauss
https://arxiv.org/abs/2505.22047 htt…

Organizational Regularities in Recurrent Neural Networks
Previous work has shown that the dynamical regime of Recurrent Neural Networks (RNNs) - ranging from oscillatory to chaotic and fixpoint behavior - can be controlled by the global distribution of weights in connection matrices with statistically independent elements. However, it remains unclear how network dynamics respond to organizational regularities in the weight matrix, as often observed in biological neural networks. Here, we investigate three such regularities: (1) monopolar output weigh…

This https://arxiv.org/abs/2410.01082 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

A Computational Fluid Dynamics study of drug-releasing ocular implants for glaucoma treatment: Comparison of implant size and locations
Drug-releasing implants are gaining momentum in the treatment of glaucoma. Implants present however several limitations. Among these limitations, there is the inability to provide an even distribution of the drug in the trabecular meshwork. CFD simulations were used in this work to study the interplay between ocular fluid dynamics and drug diffusion to explore the options to achieve a homogeneous drug distribution. The analysis finds that the balance between convection and diffusion flux hinder…

Learned Adaptive Mesh Generation
Zhiyuan Zhang, Amir Vaxman, Stefanos-Aldo Papanicolopulos, Kartic Subr
https://arxiv.org/abs/2505.20457 https://

Learned Adaptive Mesh Generation
The distribution and evolution of several real-world quantities, such as temperature, pressure, light, and heat, are modelled mathematically using Partial Differential Equations (PDEs). Solving PDEs defined on arbitrary 3D domains, say a 3D scan of a turbine's blade, is computationally expensive and scales quadratically with discretization. Traditional workflows in research and industry exploit variants of the finite element method (FEM), but some key benefits of using Monte Carlo (MC) methods …

This https://arxiv.org/abs/2502.09775 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

CellFlux: Simulating Cellular Morphology Changes via Flow Matching
Building a virtual cell capable of accurately simulating cellular behaviors in silico has long been a dream in computational biology. We introduce CellFlux, an image-generative model that simulates cellular morphology changes induced by chemical and genetic perturbations using flow matching. Unlike prior methods, CellFlux models distribution-wise transformations from unperturbed to perturbed cell states, effectively distinguishing actual perturbation effects from experimental artifacts such as …

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
Zhonghao Zhan, Huichi Zhou, Hamed Haddadi
https://arxiv.org/abs/2506.20806

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
Graph Neural Networks (GNNs) show great promise for Network Intrusion Detection Systems (NIDS), particularly in IoT environments, but suffer performance degradation due to distribution drift and lack robustness against realistic adversarial attacks. Current robustness evaluations often rely on unrealistic synthetic perturbations and lack demonstrations on systematic analysis of different kinds of adversarial attack, which encompass both black-box and white-box scenarios. This work proposes a no…

Sources: Apple execs discussed starting their own theatrical distribution unit; Warner Bros. is distributing the F1 movie and getting a share of the box office (Wall Street Journal)
https://www.wsj.com/business/media/f1-movi

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
Sarra Bouchkati, Ramil Sabirov, Steffen Kortmann, Andreas Ulbig
https://arxiv.org/abs/2506.19353

Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
This paper introduces an efficient Residual Reinforcement Learning (RRL) framework for voltage control in active distribution grids. Voltage control remains a critical challenge in distribution grids, where conventional Reinforcement Learning (RL) methods often suffer from slow training convergence and inefficient exploration. To overcome these challenges, the proposed RRL approach learns a residual policy on top of a modified Sequential Droop Control (SDC) mechanism, ensuring faster convergenc…

This https://arxiv.org/abs/2410.17698 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

ProGeny II: the impact of libraries and model configurations on inferred galaxy properties in SED fitting
We use a volume-complete sample of ~8,000 galaxies from the GAMA survey to characterise the impact of stellar population libraries (SPLs) and model configurations on the resulting inferred galaxy properties from Spectral Energy Distribution (SED) fitting. We compare a fiducial SPL from ProGeny (a new tool that can generate SPLs quickly and flexibly) against five other commonly used SPLs using the SED-fitting code ProSpect. The impact of selecting each SPL is compared to the consequence of chang…

Kaon structure modifications in strange hadronic matter
Manpreet Kaur, Abi Jebarson A, Dhananjay Singh, Navpreet Kaur, Suneel Dutt, Harleen Dahiya, Arvind Kumar
https://arxiv.org/abs/2506.19347

Kaon structure modifications in strange hadronic matter
We present the valence quark distributions of the kaons in an isospin asymmetric dense strange medium consisting of nucleons and hyperons. The comparative analysis of in-medium parton distribution functions, electromagnetic form factors, and charge densities with respect to the free space distributions is studied in the light-cone quark model. The medium effects are incorporated in these distribution functions by using the effective quark masses, computed from the chiral SU(3) quark mean field …

Distribution of codewords on the faces of a hypercube and new combinatorial identities
Jamolidin K. Abdurakhmanov
https://arxiv.org/abs/2506.18494 https://…

Distribution of codewords on the faces of a hypercube and new combinatorial identities
We present a novel framework for studying combinatorial identities through the geometric lens of subset distributions in q-valued cubes. By analyzing how elements of arbitrary subsets are distributed among the faces of the cube E_q^n, we discover new combinatorial identities with geometric significance. We prove that for any subset A contained in E_2^n, the rank function satisfies refined bounds that lead to exact computations for small cardinalities. Specifically, we show that for odd cardinal…

Bimodal distribution of delay times and splitting of the zero-bias conductance peak in a double-barrier normal-superconductor junction
C. W. J. Beenakker, V. A. Zakharov
https://arxiv.org/abs/2506.18515

Bimodal distribution of delay times and splitting of the zero-bias conductance peak in a double-barrier normal-superconductor junction
We formulate a scattering theory of the proximity effect in a weakly disordered SININ junction (S = superconductor, I = insulating barrier, N = normal metal). This allows to relate the conductance and density of states of the junction to the scattering times $τ$ (eigenvalues of the Wigner-Smith time-delay matrix). The probability density $P(τ)$ has two peaks, at a short time $τ_{\rm min}$ and a late time $τ_{\rm max}$. The density of states at the Fermi level is the geometric mean of the tw…

Humanitarian Aid Trickles Into Northern Gaza - The New York Times
https://www.nytimes.com/2025/06/17/world/middleeast/gaza-food-distribution-scene.html

Towards Weight Distribution-Aware Polar Codes
Mohammad Rowshan, Vlad-Florin Dragoi
https://arxiv.org/abs/2506.15467 https://arxiv.org…

Towards Weight Distribution-Aware Polar Codes
Polar codes are constructed based on the reliability of sub-channels resulting from the polarization effect. However, this information-theoretic construction approach leads to a poor weight distribution. To address this issue, pre-transformed polar codes, such as CRC-polar codes and PAC codes, have been employed. In this paper, we focus on the structure of polar codes without applying any pre-transformations and explore methods, guided by the weight-contribution partial order, to design polar-l…

Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
Aijing Kong, Chengkai Xu, Xian Wu, Xinbo Chen, Peng Hang
https://arxiv.org/abs/2506.16311

Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
To enhance the ability for vehicle platoons to respond to emergency scenarios, a platoon distribution reorganization decision-making framework is proposed. This framework contains platoon distribution layer, vehicle cooperative decision-making layer and vehicle planning and control layer. Firstly, a reinforcement-learning-based platoon distribution model is presented, where a risk potential field is established to quantitatively assess driving risks, and a reward function tailored to the platoo…

This is another horrifying statistic to shelve alongside the composition of global mammalian biomass:
• humans 34%
• livestock and pets 62%
• wild animals 4%
#science #biology #ecology

Jonathan Schofield (@urlyman@mastodon.social)
Attached: 1 image …Here are some highlights (lowlights): “If you drop all that old life into the container that we call Earth, and burn them, it turns out that what we burn in *1 year* weighs 100x more than everything alive today. Everything. All the whales, elephants, forests, insects, grass, crops, birds, fish, people, dogs and cats. Add up all the carbon in everything alive now, and still, in one year we burn a hundred times more.” #climateDiary

This https://arxiv.org/abs/2406.13539 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Robust Lambda-quantiles and extremal distributions
In this paper, we investigate the robust models for $Λ$-quantiles with partial information regarding the loss distribution, where $Λ$-quantiles extend the classical quantiles by replacing the fixed probability level with a probability/loss function $Λ$. We find that, under some assumptions, the robust $Λ$-quantiles equal the $Λ$-quantiles of the extremal distributions. This finding allows us to obtain the robust $Λ$-quantiles by applying the results of robust quantiles in the literature. …

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder
Shoichi Koyama, Kenji Ishizuka
https://arxiv.org/abs/2506.16729 https://…

Learning Magnitude Distribution of Sound Fields via Conditioned Autoencoder
A learning-based method for estimating the magnitude distribution of sound fields from spatially sparse measurements is proposed. Estimating the magnitude distribution of acoustic transfer function (ATF) is useful when phase measurements are unreliable or inaccessible and has a wide range of applications related to spatial audio. We propose a neural-network-based method for the ATF magnitude estimation. The key feature of our network architecture is the input and output layers conditioned on so…

The Zeta Tail Distribution: A Novel Event-Count Model
Michael R. Powers
https://arxiv.org/abs/2506.17496 https://arxiv.org/pdf/2506.1…

The Zeta Tail Distribution: A Novel Event-Count Model
We introduce the Zeta Tail(a) probability distribution as a new model for random damage-event counts in risk analysis. Although readily motivated through a natural relationship with the Geometric(p) distribution, Zeta Tail(a) has received little attention in the scholarly literature. In the present work, we begin by deriving various fundamental properties of this novel distribution. We then assess its usefulness as an alternative to Geometric(p) for event-count data.

Conditional Dirichlet Processes and Functional Condition Models
Jaeyong Lee, Kwangmin Lee, Jaegui Lee, Seongil Jo
https://arxiv.org/abs/2506.15932 https://…

Conditional Dirichlet Processes and Functional Condition Models
In this paper, we study the conditional Dirichlet process (cDP) when a functional of a random distribution is specified. Specifically, we apply the cDP to the functional condition model, a nonparametric model in which a finite-dimensional parameter of interest is defined as the solution to a functional equation of the distribution. We derive both the posterior distribution of the parameter of interest and the posterior distribution of the underlying distribution itself. We establish two general…

This https://arxiv.org/abs/2505.20430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

DESI Emission Line Galaxies: Clustering Dependence one Stellar Mass and [OII] Luminosity
We measure the projected two-point correlation functions of emission line galaxies (ELGs) from the Dark Energy Spectroscopic Instrument (DESI) One-Percent Survey and model their dependence on stellar mass and [OII] luminosity. We select $\sim$180,000 ELGs with redshifts of $0.8 < z < 1.6$ and define 27 samples according to cuts in redshift and both galaxy properties. Following a framework that describes the conditional [OII] luminosity-stellar mass distribution as a function of halo mass, we si…

Landau Damping, Schr\"odinger equation, and Fluctuation Theorem
Hideo Sugama
https://arxiv.org/abs/2505.23110 https://arxiv.org/…

Landau Damping, Schrödinger equation, and Fluctuation Theorem
A linearized Vlasov-Poisson system of equations is transformed into a Schrödinger equation, which is used to demonstrate that the fluctuation theorem holds for the relative stochastic entropy, defined in terms of the probability density functional of the particle velocity distribution function in the Landau damping process. The difference between the energy perturbation, normalized by the equilibrium temperature, and the entropy perturbation constitutes a time-independent invariant of the syst…

Size distribution of decaying foam bubbles
Ildoo Kim
https://arxiv.org/abs/2506.18049 https://arxiv.org/pdf/2506.18049

Size distribution of decaying foam bubbles
The most studies on the stability of foam bubbles investigated the mechanical stability of thin films between bubbles due to the drainage by gravity. In the current work, we take an alternative approach by assuming the rupture of bubbles as a series of random events and by investigating the time evolution of the size distribution of foam bubbles over a long time up to several hours. For this purpose, we first prepared layers of bubbles on Petri dishes by shaking soap solutions of a few differen…

Audacy says it will close its Pineapple Street podcast studio, exiting the business of distributing shows for outside parties and leading to job cuts (Ashley Carman/Bloomberg)
https://www.bloomberg.com/news/articles/20

The angular momentum distribution of electrons in large atoms and its deviation from Madelung's rule
August Bjerg, S{\o}ren Fournais, Peter Hearnshaw, Jan Philip Solovej
https://arxiv.org/abs/2506.14227

The angular momentum distribution of electrons in large atoms and its deviation from Madelung's rule
We show that the angular momentum distribution of neutral atoms, in the sense of occupation numbers, follows the Thomas-Fermi angular momentum distribution in the limit of large atomic number. In particular, we show that the angular momentum distribution of large atoms deviates from the well-known Madelung rule.

Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
Mohini Bariya, Genevieve Flaspohler
https://arxiv.org/abs/2506.21311

Estimating Technical Loss without Power Flows: A Practical, Data-Driven Approach for Loss Estimation in Distribution Grids
Electric grids in low- and middle-income countries (LMICs) across the world face an acute challenge. To support global decarbonisation efforts and raise millions from energy poverty, these grids must shoulder substantial load growth while integrating distributed renewable generation. However, decades of rapid and poorly funded infrastructure expansions have led to national grids in many LMICs that are strained and weak, composed of aging, faulty, and undersized infrastructure. A cause and sympt…

Detectability of dark matter density distribution via gravitational waves from binary black holes in the Galactic center
Zhijin Li, Xiao Guo, Zhoujian Cao, Yun-Long Zhang
https://arxiv.org/abs/2506.19327

Detectability of dark matter density distribution via gravitational waves from binary black holes in the Galactic center
The fundamental nature of dark matter (DM) remains unknown, with significant uncertainties in its density profile. DM environments surrounding massive binary black holes (BBHs) modify their orbital dynamics, thereby altering gravitational wave (GW) emissions. For BBH systems at the Galactic Center, dynamical friction induced by DM spikes could produce detectable deviations in GW spectra, potentially observable by future space-based detectors. To address the uncertainties in the Galactic Center'…

Upcoming GÉANT infoshare - Part 2 🚀
🔐 Quantum KMS Architectures and Services
This session will explore the key aspects of Key Management Systems (KMS) in enabling secure, scalable Quantum Key Distribution. Gain insights on architecture, standardisation, and integration—from both research and industry voices.
🔗 Sign up here: https://…

Infoshare: Quantum KMS Architectures and Services
The infoshare will focus on the aspects of Key Management Systems (KMS) for Quantum Key Distribution systems. KMS is a crucial component that allows to build, manage, scale QKD networks, define the interfaces for key delivery. The presentations will show KMS architectures, standardization, integration examples and strategies. KMS technologies are integral part of EuroQCI infrastructure and interconnectivity. The presentations will be provided by research institutions and also companies.The...

Time-bin encoded quantum key distribution over 120 km with a telecom quantum dot source
Jipeng Wang, Joscha Hanel, Zenghui Jiang, Raphael Joos, Michael Jetter, Eddy Patrick Rugeramigabo, Simone Luca Portalupi, Peter Michler, Xiao-Yu Cao, Hua-Lei Yin, Shan Lei, Jingzhong Yang, Michael Zopf, Fei Ding
https://arxiv.org/abs/2506.155…

Time-bin encoded quantum key distribution over 120 km with a telecom quantum dot source
Quantum key distribution (QKD) with deterministic single photon sources has been demonstrated over intercity fiber and free-space channels. The previous implementations relied mainly on polarization encoding schemes, which are susceptible to birefringence, polarization-mode dispersion and polarization-dependent loss in practical fiber networks. In contrast, time-bin encoding offers inherent robustness and has been widely adopted in mature QKD systems using weak coherent laser pulses. However, i…

The final solution of the Hitchhiker's problem #5
Matja\v{z} Omladi\v{c}, Martin Vuk, Alja\v{z} Zalar
https://arxiv.org/abs/2506.20672 https://

The final solution of the Hitchhiker's problem #5
A recent survey, nicknamed "Hitchhiker's Guide", J.J. Arias-Garcıa, R. Mesiar, and B. De Baets, A hitchhiker's guide to quasi-copulas, Fuzzy Sets and Systems 393 (2020) 1-28, has raised the rating of quasi-copula problems in the dependence modeling community in spite of the lack of statistical interpretation of quasi-copulas. In our previous work (arXiv:2410.19339, accepted in Fuzzy Sets and Systems), we addressed the question of extreme values of the mass distribution associated with multivar…

This https://arxiv.org/abs/2504.19832 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Identifying the Frontier Structural Function and Bounding Mean Deviations
This paper analyzes a model in which an outcome variable equals a frontier function of inputs less a nonnegative unobserved deviation. If zero lies in the support of the deviation given inputs, then the frontier function is identified by the supremum outcome at those inputs. This obviates the need for instrumental variables. Implementation requires allowing for the distribution of deviations to depend on inputs, thus not ruling out endogeneity. Including random errors yields a stochastic fronti…

Maximal Counts in the Stopped Occupancy Problem
Alexander Gnedin, Svante Janson, Yaakov Malinovsky
https://arxiv.org/abs/2506.20411 https://

Maximal Counts in the Stopped Occupancy Problem
We revisit a version of the classic occupancy scheme, where balls are thrown until almost all boxes receive a given number of balls. Special cases are widely known as coupon-collectors and dixie cup problems. We show that as the number of boxes tends to infinity, the distribution of the maximal occupancy count does not converge, but can be approximated by a convolution of two Gumbel distributions, with the approximating distribution having oscillations close to periodic on a logarithmic scale. …

Electron-positron pair annihilation in kinetic plasma
Haidar Al-Naseri
https://arxiv.org/abs/2505.22891 https://arxiv.org/pdf/2505.22…

Electron-positron pair annihilation in kinetic plasma
The process of electron positron pair annihilation, driven by strong fields (Inverse Schwinger mechanism) and high-frequency waves, is studied using the Dirac Heisenberg Wigner formalism. In an electron positron plasma, the presence of a strong field leads to both pair creation and annihilation. Depending on plasma properties such as non-degeneracy and the momentum distribution, pair annihilation can dominate over pair creation. The energy released from annihilated pairs can lead to an enhancem…

TRIM: A Self-Supervised Video Summarization Framework Maximizing Temporal Relative Information and Representativeness
Pritam Mishra, Coloma Ballester, Dimosthenis Karatzas
https://arxiv.org/abs/2506.20588

TRIM: A Self-Supervised Video Summarization Framework Maximizing Temporal Relative Information and Representativeness
The increasing ubiquity of video content and the corresponding demand for efficient access to meaningful information have elevated video summarization and video highlights as a vital research area. However, many state-of-the-art methods depend heavily either on supervised annotations or on attention-based models, which are computationally expensive and brittle in the face of distribution shifts that hinder cross-domain applicability across datasets. We introduce a pioneering self-supervised vid…

Chiral-odd generalized parton distributions in the large-$N_{c}$ limit of QCD: Next-to-leading-order contributions
June-Young Kim
https://arxiv.org/abs/2506.21013

Chiral-odd generalized parton distributions in the large-$N_{c}$ limit of QCD: Next-to-leading-order contributions
We investigate the nucleon's chiral-odd generalized parton distribution functions (GPDs) in the large-$N_c$ limit of QCD. Extending previous work on the leading-order contribution in the $1/N_c$ expansion, we focus on the next-to-leading-order contributions and provide a complete set of flavor-singlet and flavor-non-singlet chiral-odd GPDs. This study includes the derivation of the spin-flavor structure of the baryon matrix element of the chiral-odd operator, the proof of the polynomiality prop…

The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
Jian-Fa Wang, Yu Gao, Xue-Jian Jiang, Li Ji, Zhi-Yu Zhang, Jun-Zhi Wang, Jun-Feng Wang, R. Thomas Greve, Yan Jiang, Ashley Bemis, Elias Brinks, Aeree Chung, J. Malcolm Currie, Richard de Grijs, Taotao Fang, C. Luis Ho, Bumhyun Lee, Satoki Matsushita, Micha{\l} Micha{\l}owski, Soojong Pak, Panomporn Poojon, G. Mark Rawlings, Amelie Saintonge, Yi-Chen Sun, Jing Zhou

The MALATANG survey: Dense gas distribution on sub-kiloparsec scales across the disk of M82
We present observations of HCN J=4-3 and HCO^+ J=4-3 lines obtained with the James Clerk Maxwell Telescope as part of the MALATANG survey, combined with archival HCN J=1-0 and HCO^+ J=1-0 data from the Green Bank Telescope, to study the spatial distribution and excitation conditions of dense molecular gas in the disk of M82. We detect HCN J=4-3 and HCO^+ J=4-3 emission within the central region (< 500 pc) of the galaxy, while the J=1-0 emission lines exhibit a more extended spatial distribution…

Towards Provable (In)Secure Model Weight Release Schemes
Xing Yang, Bingtao Wang, Yuhao Wang, Zimo Ji, Terry Jingchen Zhang, Wenyuan Jiang
https://arxiv.org/abs/2506.19874

Towards Provable (In)Secure Model Weight Release Schemes
Recent secure weight release schemes claim to enable open-source model distribution while protecting model ownership and preventing misuse. However, these approaches lack rigorous security foundations and provide only informal security guarantees. Inspired by established works in cryptography, we formalize the security of weight release schemes by introducing several concrete security definitions. We then demonstrate our definition's utility through a case study of TaylorMLP, a prominent secure…

Detecting weighted hidden cliques
Urmisha Chatterjee, Karissa Huang, Ritabrata Karmakar, B. R. Vinay Kumar, G\'abor Lugosi, Nandan Malhotra, Anirban Mandal, Maruf Alam Tarafdar
https://arxiv.org/abs/2506.21543

Detecting weighted hidden cliques
We study a generalization of the classical hidden clique problem to graphs with real-valued edge weights. Formally, we define a hypothesis testing problem. Under the null hypothesis, edges of a complete graph on $n$ vertices are associated with independent and identically distributed edge weights from a distribution $P$. Under the alternate hypothesis, $k$ vertices are chosen at random and the edge weights between them are drawn from a distribution $Q$, while the remaining are sampled from $P$.…

Stellar Dynamics in Open Clusters Increases the Binary Fraction and Mass Ratios: Evidence from Photometric Binaries in 35 Open Clusters
Anna C. Childs, Aaron M. Geller
https://arxiv.org/abs/2506.20889

Stellar Dynamics in Open Clusters Increases the Binary Fraction and Mass Ratios: Evidence from Photometric Binaries in 35 Open Clusters
Using the Bayesian Analysis of Stellar Evolution-9 (BASE-9) code and Gaia DR3, Pan-STARRS, and 2MASS data, we identify photometric binaries in 35 open clusters (OCs) and constrain their masses. We find a strong correlation between the binary fraction and cluster dynamical age and an even stronger correlation between core binary fraction and cluster dynamical age. We find the binary mass-ratio (q) distribution of dynamically young OCs is statistically distinct from that of the old OCs. On averag…

Inverse method for determining general molecular weight distribution from polymer rheology
Nihal Pushkar, Xin C. Yee, Jena McCollum, Brandon Runnels
https://arxiv.org/abs/2506.14926

Inverse method for determining general molecular weight distribution from polymer rheology
Determination of polymer molecular weight distribution (MWD) from rheological measurements is desirable due to the ease and low cost of rheometry compared to other methods such as gel permeation chromatography. However, relating MWD to rheology requires the inversion of rheological models, for which there is no analytic solution. Prior approaches assume a functional form for the MWD (such as a lognormal or generalized exponential distribution), minimizing the error with respect to the functiona…

Resilience assessment framework for cyber-physical distribution power system based on coordinated cyber-physical attacks under dynamic game
Yulin Liu, Zhaojun Ruan, Libao Shi
https://arxiv.org/abs/2506.19636

Resilience assessment framework for cyber-physical distribution power system based on coordinated cyber-physical attacks under dynamic game
Owing to the advanced communication networks and intelligent electronic devices, the cyber-physical distribution systems (CPDSs) possess the capability to perform flexible economic dispatch and achieve rapid self-healing from extreme events. Meanwhile, the deep integration of cyber and physical systems makes CPDS vulnerable to coordinated cyber-physical attacks. In this paper, a resilience assessment framework for the CPDS under coordinated cyber-physical attacks is proposed to investigate the …

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko
https://arxiv.org/abs/2506.18307

Rethinking Mean Opinion Scores in Speech Quality Assessment: Aggregation through Quantized Distribution Fitting
Speech quality assessment (SQA) aims to evaluate the quality of speech samples without relying on time-consuming listener questionnaires. Recent efforts have focused on training neural-based SQA models to predict the mean opinion score (MOS) of speech samples produced by text-to-speech or voice conversion systems. This paper targets the enhancement of MOS prediction models' performance. We propose a novel score aggregation method to address the limitations of conventional annotations for MOS, w…

Valid Selection among Conformal Sets
Mahmoud Hegazy, Liviu Aolaritei, Michael I. Jordan, Aymeric Dieuleveut
https://arxiv.org/abs/2506.20173 https://

Valid Selection among Conformal Sets
Conformal prediction offers a distribution-free framework for constructing prediction sets with coverage guarantees. In practice, multiple valid conformal prediction sets may be available, arising from different models or methodologies. However, selecting the most desirable set, such as the smallest, can invalidate the coverage guarantees. To address this challenge, we propose a stability-based approach that ensures coverage for the selected prediction set. We extend our results to the online c…

Permutation invariance in last-passage percolation and the distribution of the Busemann process
Erik Bates, Elnur Emrah, James Martin, Timo Sepp\"al\"ainen, Evan Sorensen
https://arxiv.org/abs/2506.12641

Permutation invariance in last-passage percolation and the distribution of the Busemann process
In i.i.d. exponential last-passage percolation, we describe the joint distribution of Busemann functions, over all edges and over all directions, in terms of a joint last-passage problem in a finite inhomogeneous environment. More specifically, the Busemann increments within a $k\times\ell$ grid, and associated to $d$ different directions, are equal in distribution to a particular collection of last-passage increments inside a $(k+d-1)\times(\ell+d-1)$ grid. The joint Busemann distribution was …

A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs
Dong Liu, Sander Timmerman, Yu Xiang, Peter Palensky, Pedro P. Vergara
https://arxiv.org/abs/2506.20238

A Data-Driven Approach for Topology Correction in Low Voltage Networks with DERs
This paper introduces a data-driven topology identification and correction approach for low-voltage distribution networks (LVDNs) combined with a time-based smart meter data selection strategy, aiming to correct outdated recordings and identify the missed recordings. The proposed approach solely relies on voltage magnitude measurements, releasing privacy concerns and measurement burdens. It enables the distribution system operators to identify switch states through supervised learning algorithm…

Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimation
Jason Beh, J\'er\^ome Morio, Florian Simatos, Simon Weissmann
https://arxiv.org/abs/2506.20185

Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimation
This work considers the framework of Markov chain importance sampling~(MCIS), in which one employs a Markov chain Monte Carlo~(MCMC) scheme to sample particles approaching the optimal distribution for importance sampling, prior to estimating the quantity of interest through importance sampling. In rare event estimation, the optimal distribution admits a non-differentiable log-density, thus gradient-based MCMC can only target a smooth approximation of the optimal density. We propose a new gradie…

A Principled Path to Fitted Distributional Evaluation
Sungee Hong, Jiayi Wang, Zhengling Qi, Raymond Ka Wai Wong
https://arxiv.org/abs/2506.20048 https://

A Principled Path to Fitted Distributional Evaluation
In reinforcement learning, distributional off-policy evaluation (OPE) focuses on estimating the return distribution of a target policy using offline data collected under a different policy. This work focuses on extending the widely used fitted-Q evaluation -- developed for expectation-based reinforcement learning -- to the distributional OPE setting. We refer to this extension as fitted distributional evaluation (FDE). While only a few related approaches exist, there remains no unified framewor…

The Radio Spectral Energy Distribution and Star Formation Calibration in MIGHTEE-COSMOS Highly Star-Forming Galaxies at 1.5 < z < 3.5
Fatemeh Tabatabaei, Maryam Khademi, Matt J. Jarvis, Russ Taylor, Imogen H. Whittam, Fangxia An, Reihaneh Javadi, Eric J. Murphy, Mattia Vaccar
https://arxiv.org/abs/2506.16275

The Radio Spectral Energy Distribution and Star Formation Calibration in MIGHTEE-COSMOS Highly Star-Forming Galaxies at 1.5 < z < 3.5
Studying the radio spectral energy distribution (SED) of distant galaxies is essential for understanding their assembly and evolution over cosmic time. We present rest-frame radio SEDs of a sample of 160 starburst galaxies at redshifts 1.5 to 3.5 in the COSMOS field, as part of the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) project. MeerKAT observations, combined with archival VLA and GMRT data, allow us to determine the integrated mid-radio (1-10 GHz) continuum (MRC) …

A Bimodal Metallicity Distribution Function in the Ultra-Faint Dwarf Galaxy Reticulum II
Alice M. Luna, Alexander P. Ji, Anirudh Chiti, Joshua D. Simon, Daniel D. Kelson, Minsung Go, Guilherme Limberg, Ting S. Li, Anna Frebel
https://arxiv.org/abs/2506.16462

A Bimodal Metallicity Distribution Function in the Ultra-Faint Dwarf Galaxy Reticulum II
Star formation in ultra-faint dwarf galaxies (UFDs, $M_* <10^5M_\odot$) is suppressed by reionization, but may not be completely quenched. The metallicity distribution function (MDF) of stars in ultra-faint dwarf galaxies could show these signatures of reionization. However, past studies of UFD MDFs have been limited, because there are only a few dozen red giant branch (RGB) stars in such low-mass galaxies. We present low-resolution Magellan/IMACS spectroscopy of 167 stars in the UFD Reticulum …

The vertical structure of the stellar disk in NGC 551
Harshal Raut, Narendra Nath Patra, Prerana Biswas, Nirupam Roy, Veselina Kalinova, Sergio Dzib, Dario Colombo, Vicente Villanueva, Sebasti\'an F. S\'anchez
https://arxiv.org/abs/2506.19551

The vertical structure of the stellar disk in NGC 551
We self-consistently determine the 3D density distribution of NGC 551's stellar disk and study observational signatures of two-component stellar disks. Assuming baryonic disks are in hydrostatic equilibrium, we solved the Poisson-Boltzmann equation to estimate 3D density distribution. We used integral-field spectroscopic observations to estimate stellar velocity dispersion and built a 3D dynamical model using these density solutions and the observed rotation curve. We generated simulated surfac…