Tootfinder

Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
Shihui Feng, Huilin Zhang, Dragan Ga\v{s}evi\'c
https://arxiv.org/abs/2506.20971 ht…

Where is AIED Headed? Key Topics and Emerging Frontiers (2020-2024)
In this study, we analyze 2,398 research articles published between 2020 and 2024 across eight core venues related to the field of Artificial Intelligence in Education (AIED). Using a three-step knowledge co-occurrence network analysis, we analyze the knowledge structure of the field, the evolving knowledge clusters, and the emerging frontiers. Our findings reveal that AIED research remains strongly technically focused, with sustained themes such as intelligent tutoring systems, learning analyt…

Wild refitting for black box prediction
Martin J. Wainwright
https://arxiv.org/abs/2506.21460 https://arxiv.org/pdf/2506.21460…

Wild refitting for black box prediction
We describe and analyze a computionally efficient refitting procedure for computing high-probability upper bounds on the instance-wise mean-squared prediction error of penalized nonparametric estimates based on least-squares minimization. Requiring only a single dataset and black box access to the prediction method, it consists of three steps: computing suitable residuals, symmetrizing and scaling them with a pre-factor $ρ$, and using them to define and solve a modified prediction problem rece…

Two-mode hyperradiant lasing in a system of two quantum dots embedded in a bimodal photonic crystal cavity
Lavakumar Addepalli, P. K. Pathak
https://arxiv.org/abs/2506.21202

Two-mode hyperradiant lasing in a system of two quantum dots embedded in a bimodal photonic crystal cavity
We propose a scheme for two-mode hyperradiant lasing in a system comprising two incoherently pumped quantum dots (QDs) coupled to a bimodal photonic crystal cavity. To account for the exciton-phonon interactions, we employ a time-convolutionless polaron-transformed master equation. Both resonant and off-resonant couplings of the QDs to the cavity modes are considered, and we analyze the resulting radiance witness as well as the intra- and inter-mode photon correlations. Furthermore, we demonstr…

This https://arxiv.org/abs/2405.07671 has been replaced.
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Constructing a BPE Tokenization DFA
Many natural language processing systems operate over tokenizations of text to address the open-vocabulary problem. In this paper, we give and analyze an algorithm for the efficient construction of deterministic finite automata (DFA) designed to operate directly on tokenizations produced by the popular byte pair encoding (BPE) technique. This makes it possible to apply many existing techniques and algorithms to the tokenized case, such as pattern matching, equivalence checking of tokenization d…

ClusterRCA: Network Failure Diagnosis in HPC Systems Using Multimodal Data
Yongqian Sun, Xijie Pan, Xiao Xiong, Lei Tao, Jiaju Wang, Shenglin Zhang, Yuan Yuan, Yuqi Li, Kunlin Jian
https://arxiv.org/abs/2506.20673

ClusterRCA: Network Failure Diagnosis in HPC Systems Using Multimodal Data
Network failure diagnosis is challenging yet critical for high-performance computing (HPC) systems. Existing methods cannot be directly applied to HPC scenarios due to data heterogeneity and lack of accuracy. This paper proposes a novel framework, called ClusterRCA, to localize culprit nodes and determine failure types by leveraging multimodal data. ClusterRCA extracts features from topologically connected network interface controller (NIC) pairs to analyze the diverse, multimodal data in HPC s…

Natal kick by early-asymmetrical pairs of jets to the neutron star of supernova remnant S147
Dmitry Shishkin, Ealeal Bear, Noam Soker
https://arxiv.org/abs/2506.21548

Natal kick by early-asymmetrical pairs of jets to the neutron star of supernova remnant S147
We analyze the bipolar morphology of the jet-shaped core-collapse supernova (CCSN) remnant (CCSNR) S147 and its neutron star (NS) kick velocity, and suggest that two pairs of unequal, opposite jets contributed to the NS kick velocity. This kick by early asymmetrical pairs (kick-BEAP) of jets mechanism operates within the framework of the jittering jets explosion mechanism (JJEM). We examine the prominent pair of large ears and, based on their flat structure rather than the more common conical s…

Linear and Second-order-cone Valid Inequalities for Problems with Storage
Juan M. Morales
https://arxiv.org/abs/2506.21470 https://ar…

Linear and Second-order-cone Valid Inequalities for Problems with Storage
Batteries are playing an increasingly central role as distributed energy resources in the shift toward power systems dominated by renewable energy sources. However, existing battery models must invariably rely on complementarity constraints to prevent simultaneous charging and discharging, rendering models of a disjunctive nature and NP-hard. In this paper, we analyze the disjunctive structure of the battery's feasible operational set and uncover a submodularity property in its extreme power tr…

Behavioral Traits as Dynamical Systems: Utilizing Entropy to Analyze Longitudinal Psychometric Data in Coupled Ordinary Differential Equations
Anderson M. Rodriguez
https://arxiv.org/abs/2506.20622

Behavioral Traits as Dynamical Systems: Utilizing Entropy to Analyze Longitudinal Psychometric Data in Coupled Ordinary Differential Equations
Traits such as neuroticism persist across species despite exhibiting characteristics typically regarded as maladaptive. This project presents an alternative model for understanding the stability of such traits by integrating findings from the Swedish Adoption/Twin Study on Aging (Pedersen, 2015) (SATSA) with a system of recursive, biologically inspired ordinary differential equations (ODEs). To utilize the ODEs analytically, Shannon entropy is extracted from longitudinal Likert-scale psychometr…

Compact Analytical Model for Real-Time Evaluation of OAM-Based Inter-Satellite Links
Mohammad Taghi Dabiri, Mazen Hasna
https://arxiv.org/abs/2506.20823 ht…

Compact Analytical Model for Real-Time Evaluation of OAM-Based Inter-Satellite Links
This paper presents an efficient analytical framework for evaluating the performance of inter-satellite communication systems utilizing orbital angular momentum (OAM) beams under pointing errors. An accurate analytical model is first developed to characterize intermodal crosstalk caused by beam misalignment in OAM-based inter-satellite links. Building upon this model, we derive efficient expressions to analyze and optimize system performance in terms of bit error rate (BER). Unlike traditional …

High-Throughput Mapping of Magnetic Properties via the on-the-fly XMCD spectroscopy in a Combinatorial Fe-Co-Ni Film
Y. Yamasaki, N. Sasabe, Y. Ishii, Y. Sekiguchi, A. Sumiyoshiya, Y. Tanimoto, Y. Kotani, T. Nakamura, H. Nomura
https://arxiv.org/abs/2506.20958

High-Throughput Mapping of Magnetic Properties via the on-the-fly XMCD spectroscopy in a Combinatorial Fe-Co-Ni Film
High-throughput X-ray magnetic circular dichroism (XMCD) spectroscopy was conducted on Fe-Co-Ni compositionally graded films to systematically analyze the variation of magnetic properties as a function of composition. On-the-fly XMCD measurement enabled rapid spectral acquisition. Measurement time was reduced approximately tenfold compared to conventional stepwise methods, while maintaining high precision. The obtained XMCD spectra were processed using the Savitzky-Golay denoising technique, an…

Constraint on Momentum-coupled Dark Energy using DESI DR2
Prasanta Sahoo, Nandan Roy, Himadri Shekhar Mondal
https://arxiv.org/abs/2506.21295 https://

Constraint on Momentum-coupled Dark Energy using DESI DR2
In this work, we study two scalar field driven dark energy models characterized by the axion potential and the inverse power law potential, each coupled to dark matter through a momentum exchange interaction. By formulating the dynamics as an autonomous system, we identify the equilibrium points and analyze their stability. To constrain these models, we utilize observational data from Pantheon Plus Type Ia Supernovae, DES Y5, DESI DR2 BAO, and Planck 2018 CMB compressed likelihood, employing Ma…

A Detailed Measurement View on IPv6 Scanners and Their Adaption to BGP Signals
Isabell Egloff, Raphael Hiesgen, Maynard Koch, Thomas C. Schmidt, Matthias W\"ahlisch
https://arxiv.org/abs/2506.20383

A Detailed Measurement View on IPv6 Scanners and Their Adaption to BGP Signals
Scanners are daily visitors of public IPv4 hosts. Scanning IPv6 nodes successfully is still a challenge, which an increasing crowd of actors tries to master. In this paper, we analyze current IPv6 scanning under various network conditions. We observe scanner behavior during eleven months in four network telescopes, one of which is periodically reconfigured by changing BGP announcements. We analyze and classify the observed scanners w.r.t. their temporal behavior, their target, and network selec…

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Benjamin Cohen, Alexander P. Ji, Peter S. Ferguson, Sergey E. Koposov, Alex Drlica-Wagner, Andrew P. Li, Ting S. Li, Lara R. Cullinane, Gary S. Da Costa, Denis Erkal, Kyler Kuehn, Geraint F. Lewis, Sarah L. Martell, Andrew B. Pace, Daniel B. Zucker, Petra Awad, Joss Bland-Hawthorn, Guilherme Limberg, Clara E. Mart\'inez-V\'azquez, Joshua D. Simon, Yong Yang

Sifting for a Stream: The Morphology of the $300S$ Stellar Stream
Stellar streams are sensitive laboratories for understanding the small-scale structure in our Galaxy's gravitational field. Here, we analyze the morphology of the $300S$ stellar stream, which has an eccentric, retrograde orbit and thus could be an especially powerful probe of both baryonic and dark substructures within the Milky Way. Due to extensive background contamination from the Sagittarius stream (Sgr), we perform an analysis combining Dark Energy Camera Legacy Survey photometry, $\textit…

Shape sensitivity analysis of the heat equation and the Dirichlet-to-Neumann map
Matteo Dalla Riva, Paolo Luzzini, Paolo Musolino
https://arxiv.org/abs/2506.21196

Shape sensitivity analysis of the heat equation and the Dirichlet-to-Neumann map
We study a Dirichlet problem for the heat equation in a domain containing an interior hole. The domain has a fixed outer boundary and a variable inner boundary determined by a diffeomorphism $ϕ$. We analyze the maps that assign to the infinite-dimensional shape parameter $ϕ$ the corresponding solution and its normal derivative, and we prove that both are smooth. Motivated by an application to an inverse problem, we then compute the differential with respect to $ϕ$ of the normal derivative of…

This https://arxiv.org/abs/2502.00874 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Paper Copilot Position: The Artificial Intelligence and Machine Learning Community Should Adopt a More Transparent and Regulated Peer Review Process
The rapid growth of submissions to top-tier Artificial Intelligence (AI) and Machine Learning (ML) conferences has prompted many venues to transition from closed to open review platforms. Some have fully embraced open peer reviews, allowing public visibility throughout the process, while others adopt hybrid approaches, such as releasing reviews only after final decisions or keeping reviews private despite using open peer review systems. In this work, we analyze the strengths and limitations of …

Pull-off strength of mushroom-shaped fibrils adhered to rigid substrates
C. Beteg\'on, C. Rodr\'iguez, E. Mart\'inez-Pa\~neda, R. M. McMeeking
https://arxiv.org/abs/2506.20745

Pull-off strength of mushroom-shaped fibrils adhered to rigid substrates
The exceptional adhesion properties of biological fibrillar structures -- such as those found in geckos -- have inspired the development of synthetic adhesive surfaces. Among these, mushroom-shaped fibrils have demonstrated superior pull-off strength compared to other geometries. In this study, we employ a computational approach based on a Dugdale cohesive zone model to analyze the detachment behavior of these fibrils when adhered to a rigid substrate. The results provide complete pull-off curv…

This https://arxiv.org/abs/2503.03711 has been replaced.
initial toot: https://mastoxiv.page/@a…

The shear Alfvén continuum of quasisymmetric stellarators
The shear Alfvén wave (SAW) continuum plays a critical role in the stability of energetic particle-driven Alfvén eigenmodes. We develop a theoretical framework to analyze the SAW continuum in three-dimensional quasisymmetric magnetic fields, focusing on its implications for stellarator design. By employing a near-axis model and degenerate perturbation theory, the continuum equation is solved, highlighting unique features in 3D configurations, such as the interactions between spectral gaps. Nu…

This https://arxiv.org/abs/2302.00469 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Regression Adjustment, Cross-Fitting, and Randomized Experiments with Many Controls
This paper studies estimation and inference for average treatment effects in randomized experiments with many covariates, under a design-based framework with a deterministic number of treated units. We show that a simple yet powerful cross-fitted regression adjustment achieves bias-correction and leads to sharper asymptotic properties than existing alternatives. Specifically, we derive higher-order stochastic expansions, analyze associated inference procedures, and propose a modified HC3 varian…

Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
Nicolas Eschenbaum, Nicolas Greber
https://arxiv.org/abs/2505.21296 https://

Repeated Auctions with Speculators: Arbitrage Incentives and Forks in DAOs
We analyze the vulnerability of decentralized autonomous organizations (DAOs) to speculative exploitation via their redemption mechanisms. Studying a game-theoretic model of repeated auctions for governance shares with speculators, we characterize the conditions under which -- in equilibrium -- an exploitative exit is guaranteed to occur, occurs in expectation, or never occurs. We evaluate four redemption mechanisms and extend our model to include atomic exits, time delays, and DAO spending str…

This https://arxiv.org/abs/2411.06875 has been replaced.
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NGO Activism: Exposure vs. Influence
We analyze the timing of NGO campaigns to shed light on NGOs' strategies and how they evolve over time. Data from 2,500 campaigns show that NGOs are six times more likely to launch campaigns on their target's Annual General Meeting (AGM) date. Although this strategy increases media exposure and stakeholder scrutiny, resulting in consumer backlash and related shareholder proposals at the following AGM of the targeted firm, it has no impact on current AGM votes. As NGOs build reputational capital…

Correlated reaction coordinate motion produces non-additive rate enhancement for electron and energy transfer in multi-acceptor structures
Hanggai Nuomin, Feng-Feng Song, Peng Zhang, David N. Beratan
https://arxiv.org/abs/2506.21504

Correlated reaction coordinate motion produces non-additive rate enhancement for electron and energy transfer in multi-acceptor structures
Molecular structures with multiple donor, bridge, or acceptor units can display quantum interference effects that influence electron and energy transfer (ET and EnT) rates. Recent experiments found a 4- to 5-fold increase in ET rates for donor-acceptor structures with two acceptors compared to one. This result is surprising: simple classical or quantum analysis suggests a factor of two rate enhancement. We analyze the coupling interactions in multiple acceptor systems and find that rate enhance…

Iterated jump noncomputability and compactness
Gavin Dooley
https://arxiv.org/abs/2506.20620 https://arxiv.org/pdf/2506.20620

Iterated jump noncomputability and compactness
We use reverse mathematics to analyze "iterated jump" versions of the following four principles: the atomic model theorem with subenumerable types (AST), the diagonally noncomputable principle (DNR), weak weak Kőnig's lemma (WWKL), and weak Kőnig's lemma (WKL). The logical relationships between these principles are summarized in Figure 1 and include, among other things, an infinite chain and an infinite antichain, the latter of which represents a strong form of non-linearity in terms of prova…

Cooling of an optically levitated nanoparticle via measurement-free coherent feedback
Bruno Melo, Daniel Veldhuizen, Gregoire F. M. Tomassi, Nadine Meyer, Romain Quidant
https://arxiv.org/abs/2506.21341

Cooling of an optically levitated nanoparticle via measurement-free coherent feedback
We demonstrate coherent, measurement-free optical feedback control of a levitated nanoparticle, achieving phonon occupations down to a few hundred phonons. Unlike measurement-based feedback, this all-optical scheme preserves the correlations between mechanical motion and the feedback signal. Adjustment of the feedback phase and delay provides precise and tunable control over the system dynamics. The ultimate cooling performance is currently limited by phase noise, which we analyze within a theo…

The Graph Structure of a Class of Permutation Maps over Ring $\mathbb{Z}_{p^k}$
Kai Tan, Chengqing Li
https://arxiv.org/abs/2506.20118 https://

The Graph Structure of a Class of Permutation Maps over Ring $\mathbb{Z}_{p^k}$
Understanding the periodic and structural properties of permutation maps over residue rings such as $\mathbb{Z}_{p^k}$ is a foundational challenge in algebraic dynamics and pseudorandom sequence analysis. Despite notable progress in characterizing global periods, a critical bottleneck remains: the lack of explicit tools to analyze local cycle structures and their evolution with increasing arithmetic precision. In this work, we propose a unified analytical framework to systematically derive the …

Borel-Pad\'e exponential asymptotics for the discrete nonlinear Schr\"odinger model with next-to-nearest neighbour interactions
Christopher J. Lustri, In\^es Aniceto, Panayotis G. Kevrekidis
https://arxiv.org/abs/2506.21120

Borel-Padé exponential asymptotics for the discrete nonlinear Schrödinger model with next-to-nearest neighbour interactions
In the present work we study discrete nonlinear Schr{ö}dinger models combining nearest (NN) and next-nearest (NNN) neighbor interactions, motivated by experiments in waveguide arrays. While we consider the more experimentally accessible case of positive ratio $μ$ of NNN to NN interactions, we focus on the intriguing case of competing such interactions $(μ<0)$, where stationary states can exist only for $-1/4 < μ< 0$. We analyze the key eigenvalues for the stability of the pulse-like station…

Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach
Subhagata Chattopadhyay, Amit K Chattopadhyay
https://arxiv.org/abs/2505.21139

Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach
The COVID-19 pandemic has significantly increased the incidence of post-infection cardiovascular events, particularly myocardial infarction, in individuals over 40. While the underlying mechanisms remain elusive, this study employs a hybrid machine learning approach to analyze epidemiological data in assessing 13 key heart attack risk factors and their susceptibility. Based on a unique dataset that combines demographic, biochemical, ECG, and thallium stress-tests, this study categorizes distinc…

Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
Gabriel Loewinger, Alex W. Levis, Erjia Cui, Francisco Pereira
https://arxiv.org/abs/2506.20437

Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
Longitudinal binary or count functional data are common in neuroscience, but are often too large to analyze with existing functional regression methods. We propose one-step penalized generalized estimating equations that supports continuous, count, or binary functional outcomes and is fast even when datasets have a large number of clusters and large cluster sizes. The method applies to both functional and scalar covariates, and the one-step estimation framework enables efficient smoothing param…

This https://arxiv.org/abs/2412.18389 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Agreement of Image Quality Metrics with Radiological Evaluation in the Presence of Motion Artifacts
Purpose: Reliable image quality assessment is crucial for evaluating new motion correction methods for magnetic resonance imaging. In this work, we compare the performance of commonly used reference-based and reference-free image quality metrics on a unique dataset with real motion artifacts. We further analyze the image quality metrics' robustness to typical pre-processing techniques. Methods: We compared five reference-based and five reference-free image quality metrics on data acquired wit…

Signatures of planets and Galactic subpopulations in solar analogs. Precise chemical abundances with neural networks
Giulia Martos, Jorge Mel\'endez, Lorenzo Spina, Sara Lucatello
https://arxiv.org/abs/2506.20345

Signatures of planets and Galactic subpopulations in solar analogs. Precise chemical abundances with neural networks
The aim of this work is to obtain precise atmospheric parameters and chemical abundances automatically for solar twins and analogs to find signatures of exoplanets, as well as to assess how peculiar the Sun is compared to these stars and to analyze any possible fine structures in the Galactic thin disk. We developed a neural network (NN) algorithm using Python to obtain these parameters for a sample of 99 solar twins and solar analogs previously studied in the literature from normalized high-qu…

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
Philipp Hager, Onno Zoeter, Maarten de Rijke
https://arxiv.org/abs/2506.20501

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
Additive two-tower models are popular learning-to-rank methods for handling biased user feedback in industry settings. Recent studies, however, report a concerning phenomenon: training two-tower models on clicks collected by well-performing production systems leads to decreased ranking performance. This paper investigates two recent explanations for this observation: confounding effects from logging policies and model identifiability issues. We theoretically analyze the identifiability conditio…

Complaint says Bumble feature connected to OpenAI violates European data privacy rules https://therecord.media/bumble-for-friends-openai-noyb-complaint-gdpr

Speed of sound of QCD matter at chiral crossover
Oleksii Ivanytskyi, David Blaschke, Gerd R\"opke
https://arxiv.org/abs/2506.21292 https://

Speed of sound of QCD matter at chiral crossover
Based on a generalized Beth-Uhlenbeck approach to thermodynamics of QCD motivated by cluster decomposition we present a unified equation of state of hot strongly interacting matter and analyze its properties in a wide range of temperatures. The hadrons are treated as color singlet multiquark clusters in medium with a background gluon field in the Polyakov gauge. The confining aspect of QCD is accounted for by the Polyakov loop mechanism and by a large vacuum quark mass motivated by a confining …

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Jialin He, Xinye Peng, Zhongbao Yin, Liang Zheng
https://arxiv.org/abs/2506.20612

Extracting the kinetic freeze-out properties of high energy pp collisions at the LHC with event shape classifiers
Event shape measurements are crucial for understanding the underlying event and multiple-parton interactions (MPIs) in high energy proton proton (pp) collisions. In this paper, the Tsallis Blast-Wave model with independent non-extensive parameters for mesons and baryons, was applied to analyze transverse momentum spectra of charged pions, kaons, and protons in pp collision events at $\sqrt{s}=13$ TeV classified by event shape estimators relative transverse event activity, spherocity, and flatte…

Localization-Based Beam Focusing in Near-Field Communications
Nima Mozaffarikhosravi, Prathapasinghe Dharmawansa, Italo Atzeni
https://arxiv.org/abs/2506.21325

Localization-Based Beam Focusing in Near-Field Communications
Shifting 6G-and-beyond wireless communication systems to higher frequency bands and the utilization of massive multiple-input multiple-output arrays will extend the near-field region, affecting beamforming and user localization schemes. In this paper, we propose a localization-based beam-focusing strategy that leverages the dominant line-of-sight (LoS) propagation arising at mmWave and sub-THz frequencies. To support this approach, we analyze the 2D-MUSIC algorithm for distance estimation by ex…

Waging a Campaign: Results from an Injection-Recovery Study involving 35 numerical Relativity Simulations and three Waveform Models
Sarp Ak\c{c}ay, Charlie Hoy, Jake Mac Uilliam
https://arxiv.org/abs/2506.19990

Waging a Campaign: Results from an Injection-Recovery Study involving 35 numerical Relativity Simulations and three Waveform Models
We present Bayesian inference results from an extensive injection-recovery campaign to test the validity of three state of the art quasicircular gravitational waveform models: \textsc{SEOBNRv5PHM}, \textsc{IMRPhenomTPHM}, \textsc{IMRPhenomXPHM}, the latter with the \textsc{SpinTaylorT4} implementation for its precession dynamics. We analyze 35 strongly precessing binary black hole numerical relativity simulations with all available harmonic content. Ten simulations have a mass ratio of $4:1$ an…

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
Adamu Issifu, D\'ebora P. Menezes, Tobias Frederico
https://arxiv.org/abs/2506.21378

Proto-neutron Stars with Dark Matter Admixture: A Single-Fluid Approach
This work investigates the impact of dark matter (DM) on the microscopic and macroscopic properties of proto-neutron stars (PNSs). We employ a single-fluid framework in which DM interacts with ordinary matter (OM) via the Higgs portal and remains in thermal equilibrium through non-gravitational interactions. Using a quasi-static approximation, we analyze the evolution of PNSs during the Kelvin--Helmholtz phase by varying the DM mass while keeping the entropy per baryon and lepton fraction fixed…

Pivot probabilities and norm effects in Gaussian elimination for $\beta$-ensembles
Kenji Gunawan, John Peca-Medlin
https://arxiv.org/abs/2506.20470 https:/…

Pivot probabilities and norm effects in Gaussian elimination for $β$-ensembles
We analyze pivot probabilities in Gaussian elimination with partial pivoting (GEPP) for $2 \times 2$ random matrix ensembles. For GUE matrices, we resolve a previously reported discrepancy between theoretical predictions and empirical observations by deriving the exact pivot probability under standard LAPACK-style implementations. We further show that Dumitriu-Edelman tridiagonal $β$-ensembles agree with the earlier theoretical expectations. Finally, we propose an open question on pivot behavi…

ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
Joseph Maffetone, Julia Gersey, Pei Zhang
https://arxiv.org/abs/2505.20319

ZV-Sim: Probabilistic Simulation Framework for Pre-emergent Novel Zoonose Tracking
ZV-Sim is an open-source, modular Python framework for probabilistic simulation and analysis of pre-emergent novel zoonotic diseases using pervasive sensing data. It incorporates customizable Human and Animal Presence agents that leverage known and simulated location data, contact networks, and illness reports to assess and predict disease origins and spread. The framework supports Monte Carlo experiments to analyze outcomes with various user-defined movement and probability models. Although in…

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Shahbaz Siddeeq, Muhammad Waseem, Zeeshan Rasheed, Md Mahade Hasan, Jussi Rasku, Mika Saari, Henri Terho, Kalle Makela, Kai-Kristian Kemell, Pekka Abrahamsson
https://arxiv.org/abs/2506.19481

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code
Refactoring is a constant activity in software development and maintenance. Scale and maintain software systems are based on code refactoring. However, this process is still labor intensive, as it requires programmers to analyze the codebases in detail to avoid introducing new defects. In this research, we put forward a large language model (LLM)-based multi-agent system to automate the refactoring process on Haskell code. The objective of this research is to evaluate the effect of LLM-based ag…

An ETSI GS QKD compliant TLS implementation
Thomas Pr\'evost (I3S), Bruno Martin (I3S), Olivier Alibart (INPHYNI)
https://arxiv.org/abs/2506.19409 http…

An ETSI GS QKD compliant TLS implementation
A modification of the TLS protocol is presented, using our implementation of the Quantum Key Distribution (QKD) standard ETSI GS QKD 014 v1.1.1. We rely on the Rustls library for this. The TLS protocol is modified while maintaining backward compatibility on the client and server side. We thus wish to participate in the effort to generalize the use of QKD on the Internet. We used our protocol for a video conference call encrypted by QKD. Finally, we analyze the performance of our protocol, compa…

Understanding Plasma Turbulence Through Exact Coherent Structures
Sidney D. V. Williams, Matthew N. Gudorf, Dmitri M. Orlov
https://arxiv.org/abs/2505.19363

Understanding Plasma Turbulence Through Exact Coherent Structures
Plasma turbulence is a key challenge in understanding transport phenomena in magnetically confined plasmas. This work presents a novel approach using periodic orbit theory to analyze plasma turbulence, identifying fundamental structures that underpin chaotic motion. By applying numerical optimization techniques to the Kuramoto-Sivashinsky equation - a reduced model for drift-wave-driven trapped particle turbulence - we extract coherent spacetime patterns that serve as building blocks of turbule…

Last week I watched a new apprentice take 15 minutes to type a simple email – using the eagle-search system, eyes glued to the keyboard.
Over 12 years of #school education behind them, able to analyze Shakespeare and solve math problems, but typing as if they're seeing a computer for the first time!
HOW is it possible that in 2025 we are still producing graduates who can…

On Bott's residue formula for toric complete intersections
Miguel Rodr\'iguez Pe\~na
https://arxiv.org/abs/2506.19790 https://

On Bott's residue formula for toric complete intersections
We determine the number of singularities - counted whit multiplicities - of generic distributions of dimension and codimension one on smooth complete intersections in compact toric orbifolds with isolated singularities. We also present some applications of this results. First, we analyze the case of regular distributions. A a second application, we establish a Poincaré-type inequality that relates the multidegree of a foliation to the multidegrees of an invariant smooth complete intersection c…

This https://arxiv.org/abs/2505.08794 has been replaced.
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Classical Dirac particle I
In this work we produce a classical Lagrangian description of an elementary spinning particle which satisfies Dirac equation when quantized. We call this particle a classical Dirac particle. We analyze in detail the way we arrive to this model and how the different observables and constants of the motion can be expressed in terms of the degrees of freedom and their derivatives, by making use of Noether's theorem. The main feature is that the particle has a center of charge r, moving at the spee…

Hybrid high-order approximations of div-curl systems on domains with general topology
J\'er\'emy Dalphin, Jean-Pierre Ducreux, Simon Lemaire, Silvano Pitassi
https://arxiv.org/abs/2506.19616

Hybrid high-order approximations of div-curl systems on domains with general topology
We devise and analyze hybrid polyhedral methods of arbitrary order for the approximation of div-curl systems on three-dimensional domains featuring non-trivial topology. The div-curl systems we are interested in stem from magnetostatics, and can either be first-order (field formulation) or second-order (vector potential formulation). The well-posedness of the resulting discrete problems essentially hinges on recently established, topologically generic, hybrid versions of the (first and second) …

Which Company Adjustment Matter? Insights from Uplift Modeling on Financial Health
Xinlin Wang, Mats Brorsson
https://arxiv.org/abs/2506.19049 https://

Which Company Adjustment Matter? Insights from Uplift Modeling on Financial Health
Uplift modeling has achieved significant success in various fields, particularly in online marketing. It is a method that primarily utilizes machine learning and deep learning to estimate individual treatment effects. This paper we apply uplift modeling to analyze the effect of company adjustment on their financial status, and we treat these adjustment as treatments or interventions in this study. Although there have been extensive studies and application regarding binary treatments, multiple t…

Our results confirm persistent gender disparities:
women are more frequently acknowledged than credited as co-authors, especially in roles involving investigation and analysis
https://arxiv.org/abs/2506.15237

Dissecting the gender divide: Authorship and acknowledgment in scientific publications
The issue of gender bias in scientific publications has been the subject of ongoing debate. One aspect of this debate concerns whether women receive equal credit for their contributions compared to men. Conventional wisdom suggests that women are more likely to be acknowledged than listed as co-authors, a role that carries greater prestige. Here, we analyze data from hundreds of thousands of scientists across nine disciplines and a broad range of publications. Our results confirm persistent gen…

This https://arxiv.org/abs/2502.15084 has been replaced.
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Algorithmic Collusion under Observed Demand Shocks
The growing reliance on AI-driven pricing algorithms has raised antitrust concerns, particularly that third-party use of nonpublic competitor data may facilitate information sharing and undermine market competition. This paper examines a setting in which firms receive demand information from a common third party and incorporate it into their pricing algorithms. Specifically, I analyze the pricing behavior of Q-learning agents when demand shocks are observable. The simulation results show that a…

I have this idea of building a "Luddite Library". A set of information, tools and processes to harness luddite thinking when analyzing technological developments and "innovation".
Something that interested parties could use to understand that there might be a different way to think about what tech is/should be/can be/mustn't be for us. Think for example sets of questions to use to analyze a new thing being pushed on you and similar tools.
I'm thinking …

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
Shengyuan Huang, Xiaoguang Yang, Yifen Mu, Wenjun Mei
https://arxiv.org/abs/2506.19565

Finite-Horizon Strategy in Infinite-Horizon Linear-Quadratic Discrete-Time Dynamic Games
This paper explores a finite-horizon strategy, ``watching $T$ steps into the future and moving one step now,'' in an $N$-person infinite-horizon discrete-time linear-quadratic dynamic game. The game involves linear input/output/state dynamics and quadratic cost functions with heterogeneous discount factors. For the finite-horizon version, which forms the basis of the infinite-horizon game, we analyze the structure of the coupled generalized discrete Riccati difference equations related to the f…

The Revolution Will Not Be Televised, But It Will Be Optimized (Presented in Beta)
"5) Conflict-Free Engagement
No shouting. Just push notifications: 'You may be complicit. Tap to learn more.'"
https://www.mcsweeneys.net/art…

The Revolution Will Not Be Televised, But It Will Be Optimized (Presented in Beta)
Gone are the days of storming the gates. In this new era of resistance, we A/B test the gates, analyze the bounce rate of our demands, and push our...

Veracity: An Open-Source AI Fact-Checking System
Taylor Lynn Curtis, Maximilian Puelma Touzel, William Garneau, Manon Gruaz, Mike Pinder, Li Wei Wang, Sukanya Krishna, Luda Cohen, Jean-Fran\c{c}ois Godbout, Reihaneh Rabbany, Kellin Pelrine
https://arxiv.org/abs/2506.15794

Veracity: An Open-Source AI Fact-Checking System
The proliferation of misinformation poses a significant threat to society, exacerbated by the capabilities of generative AI. This demo paper introduces Veracity, an open-source AI system designed to empower individuals to combat misinformation through transparent and accessible fact-checking. Veracity leverages the synergy between Large Language Models (LLMs) and web retrieval agents to analyze user-submitted claims and provide grounded veracity assessments with intuitive explanations. Key feat…

Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness
Tucker Paron
https://arxiv.org/abs/2506.19128 https://

Longitudinal analysis of heart rate variability as it pertains to anxiety and readiness
The aim of this study is to explore the relationship between lifestyle choices, subjective experiences and objective biometric data in a single individual. The participant, at the time a male in his twenties, used the EliteHRV app to perform Heart Rate Variability Readings across twenty-six months accompanied by logs about the previous days activity as well as current emotional and physical state. The study will use a mixed-methods approach to analyze the data, including quantitative analysis o…

PostHog, which offers dev tools to analyze, test, observe, and deploy new features, raised a $70M Series D led by Stripe at a $920M valuation (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/ai/startup-posthog-tweet-funding-round-stripe/

Meet PostHog, A Startup That Just Raised A $70M Series D Led By Stripe From A Single Tweet
PostHog, which aims to help developers build “successful products,” quietly announced last week that it had raised $70 million in a Series D funding round at a $920 million valuation led by digital payments giant Stripe.

Effect of Vaccine Dose Intervals: Considering Immunity Levels, Vaccine Efficacy, and Strain Variants for Disease Control Strategy
Samiran Ghosh, Malay Banerjee, Amit K Chattopadhyay
https://arxiv.org/abs/2505.21132

Effect of Vaccine Dose Intervals: Considering Immunity Levels, Vaccine Efficacy, and Strain Variants for Disease Control Strategy
In this study, we present an immuno-epidemic model to understand mitigation options during an epidemic break. The model incorporates comorbidity and multiple-vaccine doses through a system of coupled integro-differential equations to analyze the epidemic rate and intensity from a knowledge of the basic reproduction number and time-distributed rate functions. Our modeling results show that the interval between vaccine doses is a key control parameter that can be tuned to significantly influence …

Multidimensional vector-valued Laplace transform and applications
Marko Kostic
https://arxiv.org/abs/2506.18909 https://arxiv.org/pdf…

Multidimensional vector-valued Laplace transform and applications
In this paper, we introduce and analyze multidimensional vector-valued Laplace transform of functions with values in sequentially complete locally convex spaces. A great number of our results seem to be new even for the functions with values in Banach spaces. We provide several new applications of multidimensional vector-valued Laplace transform to the abstract Volterra integro-differential inclusions with multiple variables, as well.

Spectrum of the Laplacian in waveguide shaped surfaces
Diana C. S. Bello
https://arxiv.org/abs/2506.18875 https://arxiv.org/pdf/2506.…

Spectrum of the Laplacian in waveguide shaped surfaces
Let $-Δ_{\cal S}$ be the Laplace operator in ${\cal S} \subset \mathbb{R}^3$ on a waveguide shaped surfaces, i.e., ${\cal S}$ is built by translating a closed curve in a constant direction along an unbounded spatial curve. Under the condition that the tangent vector of the reference curve admits a finite limit at infinity, we find the essential spectrum of $-Δ_{\cal S}$ and discuss conditions under which discrete eigenvalues emerge. Furthermore, we analyze the Laplacian in the case of a broke…

The US bombing raid with #StealthBombers of the B-2 type and the GBU-57 bombs were a gift for #NorthKorea 🇰🇵 and #China 🇨🇳 . They have certainly recorded everything, will analyze it and draw their conclusions …

A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
Chirag Rathi, Dimitra Atri, Dattaraj B. Dhuri
https://arxiv.org/abs/2506.20337

A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
The study of the evolution of Martian atmosphere and its response to EUV irradiation is an extremely important topic in planetary science. One of the dominant effects of atmospheric losses is the photochemical escape of atomic oxygen from Mars. Increasing the magnitude of the irradiation changes the response of the atmosphere. The purpose of the current paper is to analyze the effects of enhanced EUV irradiation on the escape rates of oxygen atoms. We have used the solar flare of 2017 September…

We're thrilled to announce that @… has rejoined Berlin Buzzwords as a Platinum Partner!
Learn more about OpenSearch: https://opensearch.org/

Universal Solvability for Robot Motion Planning on Graphs
Anubhav Dhar, Ashlesha Hota, Sudeshna Kolay, Pranav Nyati, Tanishq Prasad
https://arxiv.org/abs/2506.18755

Universal Solvability for Robot Motion Planning on Graphs
We study the Universal Solvability of Robot Motion Planning on Graphs (USolR) problem: given an undirected graph G = (V, E) and p robots, determine whether any arbitrary configuration of the robots can be transformed into any other arbitrary configuration via a sequence of valid, collision-free moves. We design a canonical accumulation procedure that maps arbitrary configurations to configurations that occupy a fixed subset of vertices, enabling us to analyze configuration reachability in terms…

Algebraic Structures in Microtonal Music
Veronica Flynn, Carmen Rovi
https://arxiv.org/abs/2506.17778 https://arxiv.org/pdf/2506.1777…

Algebraic Structures in Microtonal Music
We will discuss how certain group theory structures are found in music theory. Western music splits the octave into 12 equal tones called half-steps. We can take this division further and split the octave into 24 equal tones by splitting each half-step in two, called a quarter-step. By assigning each of these 24 notes a number, we can discuss musical actions mathematically. In this paper, we analyze 24-tone microtonal music and explore how musical and harmonic structures in this system can be i…

On the ring of cooperations for real Hermitian K-theory
Jackson Morris
https://arxiv.org/abs/2506.16672 https://arxiv.org/pdf/2506.16…

On the ring of cooperations for real Hermitian K-theory
Let kq denote the very effective cover of the motivic Hermitian K-theory spectrum. We analyze the ring of cooperations $π^\mathbb{R}_{**}(\text{kq} \otimes \text{kq})$ in the stable motivic homotopy category $\text{SH}(\mathbb{R})$, giving a full description in terms of Brown--Gitler comodules. To do this, we decompose the $E_2$-page of the motivic Adams spectral sequence and show that it must collapse. The description of the $E_2$-page is accomplished by a series of algebraic Atiyah--Hirzebru…

AGPL3(NeoDB!) vs facepalm(BookWyrm=facepalm)
BookWyrm is NOT open source.
Use NeoDB(but don't forget to read the source code!)
Let's collab on etherpad to analyze it together. Let's learn together!
NeoDB is AGPL3.
BookWyrm got some "Anti Capitalist" whatever license. It's custom made and NOT compatible with FLOSS.
#vent

@… Perhaps being an outsider to the faith makes it easier to analyze for what it is.
I agree that, if Christianity is largely right about an almighty deity, and they really did send someone to speak on their behalf 2000 years ago, the conclusion must inevitably be:
Most of the shit people have done “for god” throughout history, is directly …

Vortex ring induced by a disk translating toward or away from a wall
Joanne Steiner, Cyprien Morize, Ivan Delbende, Alban Sauret, Philippe Gondret
https://arxiv.org/abs/2506.18597

Vortex ring induced by a disk translating toward or away from a wall
This study investigates the time evolution of vortex rings generated by the normal translation of a disk either toward or away from a wall. We systematically vary the control parameters, including the disk size, stroke length, travel time, and distance from the wall, to analyze their influence on vortex dynamics. Experiments are conducted with Particle Image Velocimetry, while numerical simulations are performed using the flow solver Basilisk. The circulation and core radius are used as primary…

States decoupled from the surface in short Si atomic chains
Tomasz Kwapi\'nski, Marek Dachniewicz, Marcin Kurzyna, Mieczys{\l}aw Ja{\l}ochowski
https://arxiv.org/abs/2506.17822

States decoupled from the surface in short Si atomic chains
We analyze both the stationary and time-dependent properties of molecular states in atomic chains on a surface, some of which are composed of atomic states decoupled from the substrate - a phenomenon analogous to dark states in quantum dot systems. To illustrate this effect at the atomic scale, we performed scanning tunneling microscopy (STM) experiments on short silicon chains fabricated on a Si(553)-Au surface. In contrast to quantum dots, which typically involve characteristic energies in th…

Information-computation trade-offs in non-linear transforms
Connor Ding, Abhiram Rao Gorle, Jiwon Jeong, Naomi Sagan, Tsachy Weissman
https://arxiv.org/abs/2506.15948

Information-computation trade-offs in non-linear transforms
In this work, we explore the interplay between information and computation in non-linear transform-based compression for broad classes of modern information-processing tasks. We first investigate two emerging nonlinear data transformation frameworks for image compression: Implicit Neural Representations (INRs) and 2D Gaussian Splatting (GS). We analyze their representational properties, behavior under lossy compression, and convergence dynamics. Our results highlight key trade-offs between INR'…

Logarithmic convexity of evolution equations and application to inverse problems
S. E. Chorfi
https://arxiv.org/abs/2506.19954 https://

Logarithmic convexity of evolution equations and application to inverse problems
We review some results on the logarithmic convexity for evolution equations, a well-known method in inverse and ill-posed problems. We start with the classical case of self-adjoint operators. Then, we analyze the case of analytic semigroups. In this general case, we give an explicit estimate, which will be used to study inverse problems for initial data recovery. We illustrate our abstract result by an application to the Ornstein-Uhlenbeck equations. We discuss both analytic and non-analytic se…

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
Chen Zeno, Hila Manor, Greg Ongie, Nir Weinberger, Tomer Michaeli, Daniel Soudry
https://arxiv.org/abs/2506.19031

When Diffusion Models Memorize: Inductive Biases in Probability Flow of Minimum-Norm Shallow Neural Nets
While diffusion models generate high-quality images via probability flow, the theoretical understanding of this process remains incomplete. A key question is when probability flow converges to training samples or more general points on the data manifold. We analyze this by studying the probability flow of shallow ReLU neural network denoisers trained with minimal $\ell^2$ norm. For intuition, we introduce a simpler score flow and show that for orthogonal datasets, both flows follow similar traj…

The second moment of Ramanujan sums
Hong Ziwei, Zheng Zhiyong
https://arxiv.org/abs/2506.18395 https://arxiv.org/pdf/2506.18395

The second moment of Ramanujan sums
In this paper, we analyze $C(x, y)$, the second moment of Ramanujan sums. Assuming the Riemann Hypothesis, we derive an asymptotic formula for $C(x, y)$ with improved error term precision. The key feature of our approach is that it allows $x$ and $y$ to be arbitrarily close.

Relativistic corrections to hadron-hadron correlation function
Zeyu Zeng, Baoyi Chen, Jiaxing Zhao
https://arxiv.org/abs/2506.19240 https://

Relativistic corrections to hadron-hadron correlation function
Femtoscopy offers a sensitive probe of hadron emission sources and hadronic interactions. In this study, we examine relativistic corrections to scattering phase shifts and correlation functions using the two-body Dirac equation framework. We analyze the impact of the Darwin term and spin-dependent potentials, showing that these relativistic effects, especially spin-related interactions, significantly enhance the proton-proton correlation function. Our findings emphasize the necessity of includi…

Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding
Dylan Sechet, Matthieu Kowalski, Samy Mokhtari, Bruno Torr\'esani
https://arxiv.org/abs/2506.20534

Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding
This paper revisits the CHAMPAGNE algorithm within the Sparse Bayesian Learning (SBL) framework and establishes its connection to reweighted sparse coding. We demonstrate that the SBL objective can be reformulated as a reweighted $\ell_{21}$-minimization problem, providing a more straightforward interpretation of the sparsity mechanism and enabling the design of an efficient iterative algorithm. Additionally, we analyze the behavior of this reformulation in the low signal-to-noise ratio (SNR) r…

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks
Masudul Hasan Masud Bhuiyan, Gianluca De Stefano, Giancarlo Pellegrino, Cristian-Alexandru Staicu
https://arxiv.org/abs/2506.18191

Call Me Maybe: Enhancing JavaScript Call Graph Construction using Graph Neural Networks
Static analysis plays a key role in finding bugs, including security issues. A critical step in static analysis is building accurate call graphs that model function calls in a program. However, due to hard-to-analyze language features, existing call graph construction algorithms for JavaScript are neither sound nor complete. Prior work shows that even advanced solutions produce false edges and miss valid ones. In this work, we assist these tools by identifying missed call edges. Our main idea i…

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
Moritz Hauck, Alexei Lozinski, Roland Maier
https://arxiv.org/abs/2506.19462

A Generalized Framework for Higher-Order Localized Orthogonal Decomposition Methods
We introduce a generalized framework for studying higher-order versions of the multiscale method known as Localized Orthogonal Decomposition. Through a suitable reformulation, we are able to accommodate both conforming and nonconforming constraints in the construction process. In particular, we offer a new perspective on localization strategies. We fully analyze the strategy for linear elliptic problems and discuss extensions to the Helmholtz equation and the Gross--Pitaevskii eigenvalue proble…

Rabi transport and the other finite-size effects in one-dimensional discrete-time topological quantum walk
Andrzej Grudka, Marcin Karczewski, Pawe{\l} Kurzy\'nski, Tomasz P. Polak, Jan W\'ojcik, Antoni Antoni W\'ojcik
https://arxiv.org/abs/2506.19523

Rabi transport and the other finite-size effects in one-dimensional discrete-time topological quantum walk
This paper investigates Rabi transport and finite-size effects in one-dimensional discrete-time topological quantum walks. We demonstrate the emergence of localized states at boundaries between topologically distinct phases and analyze how finite system sizes influence quantum walk dynamics. For finite lattices, we show that topology induces localized and bilocalized states, leading to Rabi-like transport as a result of degeneracy breaking due to finite-size effects. The study bridges the gap b…

Weighted four-dimensional Fano hypersurfaces of K3 type
Valeria Bertini, Francesco Antonio Denisi, Enrico Fatighenti, Annalisa Grossi
https://arxiv.org/abs/2506.18014

Weighted four-dimensional Fano hypersurfaces of K3 type
We study weighted Fano fourfolds of K3 type realized as hypersurfaces in weighted projective spaces. Under the additional assumption that the singular locus has dimension at most one, we prove that only finitely many such families exist. We provide the complete list and analyze their rationality properties, as well as their singularities.

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
Sandy H. S. Herho, Iwan P. Anwar, Rusmawan Suwarman
https://arxiv.org/abs/2506.20633

rd-spiral: An open-source Python library for learning 2D reaction-diffusion dynamics through pseudo-spectral method
We introduce rd-spiral, an open-source Python library for simulating 2D reaction-diffusion systems using pseudo-spectral methods. The framework combines FFT-based spatial discretization with adaptive Dormand-Prince time integration, achieving exponential convergence while maintaining pedagogical clarity. We analyze three dynamical regimes: stable spirals, spatiotemporal chaos, and pattern decay, revealing extreme non-Gaussian statistics (kurtosis $>96$) in stable states. Information-theoretic m…

Sprinkled Decoupling for Hammersley's Process
Leandro P. R. Pimentel, Roberto Viveros
https://arxiv.org/abs/2506.19008 https://ar…

Sprinkled Decoupling for Hammersley's Process
In this article we prove a sprinkled decoupling inequality for the stationary Hammersley's interacting particle process. Inspired by the work of Baldasso and Texeira (2018), and Hilário, Kious and Texeira (2020), we apply this inequality to study two distinct problems on the top of this particle process. First, we analyze a detection problem, demonstrating that a fugitive can evade particles, provided that their jump range is sufficiently large. Second, we show that a random walk in a dynamic …

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
Bishwajit Prasad Gond, Rajneekant, Pushkar Kishore, Durga Prasad Mohapatra
https://arxiv.org/abs/2506.16224

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy
This paper investigates the application of natural language processing (NLP)-based n-gram analysis and machine learning techniques to enhance malware classification. We explore how NLP can be used to extract and analyze textual features from malware samples through n-grams, contiguous string or API call sequences. This approach effectively captures distinctive linguistic patterns among malware and benign families, enabling finer-grained classification. We delve into n-gram size selection, featu…

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
Diego Deplano, Sergio Grammatico, Mauro Franceschelli
https://arxiv.org/abs/2506.17990

Non-Euclidean Enriched Contraction Theory for Monotone Operators and Monotone Dynamical Systems
We adopt an operator-theoretic perspective to analyze a class of nonlinear fixed-point iterations and discrete-time dynamical systems. Specifically, we study the Krasnoselskij iteration - at the heart of countless algorithmic schemes and underpinning the stability analysis of numerous dynamical models - by focusing on a non-Euclidean vector space equipped with the diagonally weighted supremum norm. By extending the state of the art, we introduce the notion of enriched weak contractivity, which …

Asymptotic Equilibrium Analysis of the Boston Mechanism
Josue Ortega
https://arxiv.org/abs/2506.19450 https://arxiv.org/pdf/2506.1945…

Asymptotic Equilibrium Analysis of the Boston Mechanism
We analyze the performance of the Boston mechanism under equilibrium play in uniform random markets. We provide two results. First, while the share of students assigned to their first preference is 63% under truthfulness, this fraction becomes vanishingly small in any Nash equilibrium of the preference revelation game induced by the Boston mechanism. Second, we show that there is a Nash equilibrium of the corresponding preference revelation game where the average student is assigned to a highly…

The gravitational wave echoes from the black hole with three-form fields
Natthason Autthisin, Supakchai Ponglertsakul, Daris Samart
https://arxiv.org/abs/2506.18815

The gravitational wave echoes from the black hole with three-form fields
In this work, we study of massless three-form black hole, where the three-form fields are higher $p$-form gauge fields with $p=3$. These give rise to the Schwarzschild-de Sitter (Sch-dS)-like solution through an effective cosmological constant represented by $a_1$. We analyze this solution under gravitational perturbations and find that it exhibits a single-peak potential. For this case, no echoes are produced. Furthermore, we consider the massive case of the three-form fields by introducing a …

A note on twisted, straight, and sheared waveguide
Diana C. S. Bello
https://arxiv.org/abs/2506.15938 https://arxiv.org/pdf/2506.1593…

A note on twisted, straight, and sheared waveguide
In this work, we analyze the Dirichlet Laplacian $-Δ_Ω^D$ in an unbounded waveguide $Ω\subset \mathbb R^3$, where the cross-section is translated in a constant direction and rotated along a spatial line. We focus on the effects of twisting on the spectrum, discussing conditions under which discrete eigenvalues emerge. Our results highlight the interplay between geometry and spectral properties, showing that shearing can induce a richer spectral structure even in straight waveguides.

JWST reveals cosmic ray dominated chemistry in the local ULIRG IRAS 07251$-$0248
G. Speranza, M. Pereira-Santaella, M. Ag\'undez, E. Gonz\'alez-Alfonso, I. Garc\'ia-Bernete, J. R. Goicoechea, M. Imanishi, D. Rigopoulou, M. G. Santa-Maria, N. Thatte
https://arxiv.org/abs/2506.17390

JWST reveals cosmic ray dominated chemistry in the local ULIRG IRAS 07251$-$0248
We analyze the ro-vibrational absorption bands of various molecular cations (HCO$^+$, HCNH$^+$, and N$_2$H$^+$) and neutral species (HCN, HNC, and HC$_3$N) detected in the JWST/MIRI MRS spectrum (4.9-27.9 $μ$m) of the local ultra luminous infrared galaxy (ULIRG) IRAS~07251$-$0248. We find that the molecular absorptions are blueshifted by 160 km s$^{-1}$ relative to the systemic velocity of the target. Using local thermal equilibrium (LTE) excitation models, we derive rotational temperatures ($…

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…

Liouville function, von Mangoldt function and norm forms at random binary forms
Yijie Diao
https://arxiv.org/abs/2506.18065 https://a…

Liouville function, von Mangoldt function and norm forms at random binary forms
We analyze the average behavior of various arithmetic functions at the values of degree $d$ binary forms ordered by height, with probability $1$. This approach yields averaged versions of the Chowla conjecture and the Bateman-Horn conjecture for random binary forms. Furthermore, we show that the rational Hasse principle holds for almost all Châtelet varieties defined by a fixed norm form of degree $e$ and by varying binary forms of fixed degree $d$, provided $e$ divides $d$. This proves an ave…

WIMPs Below the Radar: Blind Spots and Benchmarks Beyond the Neutrino Floor
Giorgio Arcadi, Stefano Profumo
https://arxiv.org/abs/2506.19062 https://

WIMPs Below the Radar: Blind Spots and Benchmarks Beyond the Neutrino Floor
We investigate benchmark scenarios for Weakly Interacting Massive Particles (WIMPs) that naturally evade current direct detection constraints by featuring suppressed spin-independent cross-sections. Focusing on three representative models, the Singlet-Doublet fermion model, its extension to a Two-Higgs-Doublet plus pseudoscalar sector (2HDM$+a$), and a dark $SU(3)$ gauge model, we systematically analyze the interplay between thermal freeze-out, direct detection blind spots, and radiative correc…

Texas-based Securonix acquires ThreatQuotient, which helps companies analyze threat intelligence more efficiently; ThreatQuotient had raised about $170M (Maria Deutscher/SiliconANGLE)
https://siliconangle.com/2025/06/11/securonix-…

Securonix acquires threat intelligence startup ThreatQuotient - SiliconANGLE
Securonix acquires threat intelligence startup ThreatQuotient - SiliconANGLE

Growth rate and energy dissipation in wind-forced breaking waves
Nicol\`o Scapin, Jiarong Wu, J. Thomas Farrar, Bertrand Chapron, St\'ephane Popinet, Luc Deike
https://arxiv.org/abs/2506.17802

Growth rate and energy dissipation in wind-forced breaking waves
We investigate the energy growth and dissipation of wind-forced breaking waves using direct numerical simulations of the coupled air-water Navier-Stokes equations. We vary the wind friction velocity over the wave speed $u_\ast/c$ up to 1. A turbulent wind boundary layer drives the growth of a pre-existing narrowband wave field until it breaks and transfers energy into the water column. Under sustained wind forcing, the wave field then resumes growth. We separately analyze energy transfers durin…

100-Day Analysis of USD/IDR Exchange Rate Dynamics Around the 2025 U.S. Presidential Inauguration
Sandy H. S. Herho, Siti N. Kaban, Cahya Nugraha
https://arxiv.org/abs/2506.18738 …

100-Day Analysis of USD/IDR Exchange Rate Dynamics Around the 2025 U.S. Presidential Inauguration
Using a 100-day symmetric window around the January 2025 U.S. presidential inauguration, non-parametric statistical methods with bootstrap resampling (10,000 iterations) analyze distributional properties and anomalies. Results indicate a statistically significant 3.61\% Indonesian rupiah depreciation post-inauguration, with a large effect size (Cliff's Delta $= -0.9224$, CI: $[-0.9727, -0.8571]$). Central tendency shifted markedly, yet volatility remained stable (variance ratio $= 0.9061$, $p =…

Magnetic Field Configurations in Binary Neutron Star Mergers I: Post-merger Remnant and Disk
Eduardo M. Guti\'errez, William Cook, David Radice, Sebastiano Bernuzzi, Jacob Fields, Peter Hammond, Boris Daszuta, Harshraj Bandyopadhyay, Maximilian Jacobi
https://arxiv.org/abs/2506.18995…

Magnetic Field Configurations in Binary Neutron Star Mergers I: Post-merger Remnant and Disk
We present a suite of general relativistic magnetohydrodynamic (GRMHD) simulations of binary neutron star (BNS) mergers performed with the code GR-Athena++. We investigate how a different initial magnetic field configuration, nuclear equation of state, or binary mass ratio affects the magnetic and thermodynamic evolution of the post-merger remnant and disk. We also analyze the impact of the commonly-assumed reflection (bitant) symmetry across the equatorial plane. Magnetic field amplification o…

Reassessing Code Authorship Attribution in the Era of Language Models
Atish Kumar Dipongkor, Ziyu Yao, Kevin Moran
https://arxiv.org/abs/2506.17120 https:/…

Reassessing Code Authorship Attribution in the Era of Language Models
The study of Code Stylometry, and in particular Code Authorship Attribution (CAA), aims to analyze coding styles to identify the authors of code samples. CAA is crucial in cybersecurity and software forensics for addressing, detecting plagiarism, and supporting criminal prosecutions. However, CAA is a complex and error prone task, due to the need for recognizing nuanced relationships between coding patterns. This challenge is compounded in large software systems with numerous authors due to the…

Boundary layer profiles of positive solutions for logistic equation with sublinear nonlinearity on the boundary
Kenichiro Umezu
https://arxiv.org/abs/2506.19237

Boundary layer profiles of positive solutions for logistic equation with sublinear nonlinearity on the boundary
In this paper, we consider the logistic elliptic equation $-Δu = u- u^{p}$ in a smooth bounded domain $Ω\subset \mathbb{R}^{N}$, $N\geq2$, equipped with the sublinear Neumann boundary condition $\frac{\partial u}{\partial ν} = μu^{q}$ on $\partial Ω$, where $0

Random feature approximation for general spectral methods
Mike Nguyen, Nicole M\"ucke
https://arxiv.org/abs/2506.16283 https://a…

Random feature approximation for general spectral methods
Random feature approximation is arguably one of the most widely used techniques for kernel methods in large-scale learning algorithms. In this work, we analyze the generalization properties of random feature methods, extending previous results for Tikhonov regularization to a broad class of spectral regularization techniques. This includes not only explicit methods but also implicit schemes such as gradient descent and accelerated algorithms like the Heavy-Ball and Nesterov method. Through this…

Coherent and Noncoherent Detection in Dense Arrays: Can We Ignore Mutual Coupling?
Aniol Mart\'i, Luca Sanguinetti, Jaume Riba, Meritxell Lamarca
https://arxiv.org/abs/2506.19470

Coherent and Noncoherent Detection in Dense Arrays: Can We Ignore Mutual Coupling?
This paper investigates the impact of mutual coupling on MIMO systems with densely deployed antennas. Leveraging multiport communication theory, we analyze both coherent and noncoherent detection approaches in a single-user uplink scenario where the receiver ignores mutual coupling effects. Simulation results indicate that while coherent detection is generally more accurate, it is highly sensitive to mismatches in the coupling model, leading to severe performance degradation when antennas are c…

DPG loss functions for learning parameter-to-solution maps by neural networks
Pablo Cort\'es Castillo, Wolfgang Dahmen, Jay Gopalakrishnan
https://arxiv.org/abs/2506.18773

DPG loss functions for learning parameter-to-solution maps by neural networks
We develop, analyze, and experimentally explore residual-based loss functions for machine learning of parameter-to-solution maps in the context of parameter-dependent families of partial differential equations (PDEs). Our primary concern is on rigorous accuracy certification to enhance prediction capability of resulting deep neural network reduced models. This is achieved by the use of variationally correct loss functions. Through one specific example of an elliptic PDE, details for establishin…

Unconditionally stable space-time isogeometric method for the linear Schr\"odinger equation
Matteo Ferrari, Sergio G\'omez
https://arxiv.org/abs/2506.18859

Unconditionally stable space-time isogeometric method for the linear Schrödinger equation
We propose and analyze a space-time isogeometric finite element method based on splines with maximal regularity in time for the linear time-dependent Schrödinger equation with a spatially varying potential. We investigate the stability and conservation properties of the method, demonstrating that it preserves both mass and energy at the final time, and it is unconditionally stable. Numerical experiments confirm our theoretical findings and illustrate the convergence behavior of the scheme. Inc…

Convex-concave splitting for the Allen-Cahn equation leads to $\varepsilon^2$-slow movement of interfaces
Patrick Dondl, Akwum Onwunta, Ludwig Striet, Stephan Wojtowytsch
https://arxiv.org/abs/2506.18869

Convex-concave splitting for the Allen-Cahn equation leads to $\varepsilon^2$-slow movement of interfaces
The convex-concave splitting discretization of the Allen-Cahn is easy to implement and guaranteed to be energy decreasing even for large time-steps. We analyze the time-stepping scheme for a large class of potentials which includes the standard potential as well as two extreme settings: Potentials with quadratic convex part (uniform positive curvature), and potentials which are concave between the potential wells and either linear or infinite outside (highly concentrated curvature). In all thre…

Operator Splitting Methods: Numerical Solutions of Ordinary Differential Equations via Separation of Variables
A. Banjara, I. AlJabea, T. Papamarkou, F. Neubrander
https://arxiv.org/abs/2506.17524

Operator Splitting Methods: Numerical Solutions of Ordinary Differential Equations via Separation of Variables
This paper applies the concept of linear semigroups induced by nonlinear flows, originally developed by Dorroh and Neuberger in the 1990s, to the approximation of uniquely solvable initial value problems for nonlinear ordinary differential equations. Building on a framework rooted in the earlier works of Lie, Kowalewski, and Groebner, we analyze nonlinear systems through the lens of the Koopman-Lie semigroup exp(tK), where K is the linear Lie generator associated with the flow induced by the no…