Tootfinder

Real freedom comes from the people themselves, not from any government or state authority. It does not matter if the flag they wave is red with a hammer and sickle or bears a swastika. Both are symbols of oppressive regimes that crush true liberation. Genuine change cannot be handed down from above. It must arise organically from the grassroots, from workers and communities organizing themselves directly.
Vanguardism is a scam designed to concentrate power in the hands of a self-appoin…

Video Demoireing using Focused-Defocused Dual-Camera System
Xuan Dong, Xiangyuan Sun, Xia Wang, Jian Song, Ya Li, Weixin Li
https://arxiv.org/abs/2508.03449 https://

Video Demoireing using Focused-Defocused Dual-Camera System
Moire patterns, unwanted color artifacts in images and videos, arise from the interference between spatially high-frequency scene contents and the spatial discrete sampling of digital cameras. Existing demoireing methods primarily rely on single-camera image/video processing, which faces two critical challenges: 1) distinguishing moire patterns from visually similar real textures, and 2) preserving tonal consistency and temporal coherence while removing moire artifacts. To address these issues,…

This https://arxiv.org/abs/2505.06459 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles
Physics-Informed Neural Networks (PINNs) have been widely used to obtain solutions to various physical phenomena modeled as Differential Equations. As PINNs are not naturally equipped with mechanisms for Uncertainty Quantification, some work has been done to quantify the different uncertainties that arise when dealing with PINNs. In this paper, we use a two-step procedure to train Bayesian Neural Networks that provide uncertainties over the solutions to differential equation systems provided by…

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
He Wang, Liang Zeng
https://arxiv.org/abs/2508.03661

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
Computational scientific discovery increasingly relies on algorithms to process complex data and identify meaningful patterns - yet faces persistent challenges in gravitational-wave signal identification. While existing algorithmic approaches like matched filtering (MF) and deep neural networks (DNNs) have achieved partial success, their limitations directly stem from fundamental limitations: MF's excessive computational demands arise from its reliance on predefined theoretical waveform templat…

KPIRoot : An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems
Wenwei Gu, Renyi Zhong, Guangba Yu, Xinying Sun, Jinyang Liu, Yintong Huo, Zhuangbin Chen, Jianping Zhang, Jiazhen Gu, Yongqiang Yang, Michael R. Lyu
https://arxiv.org/abs/2506.04569

KPIRoot+: An Efficient Integrated Framework for Anomaly Detection and Root Cause Analysis in Large-Scale Cloud Systems
To ensure the reliability of cloud systems, their performance is monitored using KPIs (key performance indicators). When issues arise, root cause localization identifies KPIs responsible for service degradation, aiding in quick diagnosis and resolution. Traditional methods rely on similarity calculations, which can be ineffective in complex, interdependent cloud environments. While deep learning-based approaches model these dependencies better, they often face challenges such as high computatio…

A dimensional mass transference principle from balls to open sets and applications to dynamical Diophantine approximation
Yubin He
https://arxiv.org/abs/2508.03359 https://

A dimensional mass transference principle from balls to open sets and applications to dynamical Diophantine approximation
The mass transference principle of Beresnevich and Velani is a powerful mechanism for determining the Hausdorff dimension/measure of $\limsup$ sets that arise naturally in Diophantine approximation. However, in the setting of dynamical Diophantine approximation, this principle often fails to apply effectively, as the radii of the balls defining the dynamical $\limsup$ sets generally depend on the orbit of the point $x$ itself. In this paper, we develop a dimensional mass transference principl…

This https://arxiv.org/abs/2504.08612 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Scalar subleading soft theorems from an infinite tower of charges
We investigate the emergence of infinite-dimensional symmetries in the absence of gauge invariance by analyzing massless scalar theories. We construct an infinite tower of charges that arise from the subleading equations of motion at null infinity and are built from specific combinations of asymptotic field coefficients. Interestingly, these expressions are finite from the outset, requiring no holographic renormalization. By carefully analyzing the dynamics at spatial infinity, we show that thi…

On the construction of a gradient method of quadratic optimization, optimal from the point of view of minimizing the distance to the exact solution
N. V. Pletnev
https://arxiv.org/abs/2506.04866

On the construction of a gradient method of quadratic optimization, optimal from the point of view of minimizing the distance to the exact solution
Problems of quadratic optimization in Hilbert space often arise when solving ill-posed problems for differential equations. In this case, the target value of the functional is known. In addition, the structure of the functional allows calculating the gradient by solving well-posed problems, which allows applying first-order methods. This article is devoted to the construction of the $m$-moment minimum error method -- an effective method that minimizes the distance to the exact solution. The con…

A fluid--peridynamic structure model of deformation and damage of microchannels
Ziyu Wang, Ivan C. Christov
https://arxiv.org/abs/2508.02875 https://arxiv.…

A fluid--peridynamic structure model of deformation and damage of microchannels
Soft-walled microchannels arise in many applications, ranging from organ-on-a-chip platforms to soft-robotic actuators. However, despite extensive research on their static and dynamic response, the potential failure of these devices has not been addressed. To this end, we explore fluid--structure interaction in microchannels whose compliant top wall is governed by a nonlocal mechanical theory capable of simulating both deformation and material failure. We develop a one-dimensional model by coup…

Cooperation and the Design of Public Goods
J. Carlos Mart\'inez Mori, Alejandro Toriello
https://arxiv.org/abs/2506.05251 https://

Cooperation and the Design of Public Goods
We consider the cooperative elements that arise in the design of public goods, such as transportation policies and infrastructure. These involve a variety of stakeholders: governments, businesses, advocates, and users. Their eventual deployment depends on the decision maker's ability to garner sufficient support from each of these groups; we formalize these strategic requirements from the perspective of cooperative game theory. Specifically, we introduce non-transferable utility, linear product…

The tensor triangular geometry of fully faithful functors
Beren Sanders
https://arxiv.org/abs/2508.02105 https://arxiv.org/pdf/2508.02105

The tensor triangular geometry of fully faithful functors
We prove that the map on Balmer spectra induced by a fully faithful geometric functor is a quotient map whose fibers are connected. This is an analogue of the Zariski Connectedness Theorem in algebraic geometry and it can be applied to a plethora of examples in equivariant and motivic mathematics. We isolate a significant source of examples by introducing the "concentration" of a tt-category at a well-behaved chosen set of compact generators. Various categories of cellular objects arise in this…

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Yichao Feng
https://arxiv.org/abs/2508.02458 https://…

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Large Language Models show promise in emotion understanding, social reasoning, and empathy, yet they struggle with psychologically grounded tasks that require inferring implicit mental states in context-rich, ambiguous settings. These limitations arise from the absence of theory-aligned supervision and the difficulty of capturing nuanced mental processes in real-world narratives. To address this gap, we leverage expert-labeled, psychologically rich scenarios and propose a trajectory-aware reinf…

Non-self-adjoint sixth-order eigenvalue problems arising from clamped elastic thin films on closed domains
N C Papanicolaou, I C Christov
https://arxiv.org/abs/2508.01952 https:…

Non-self-adjoint sixth-order eigenvalue problems arising from clamped elastic thin films on closed domains
Sixth-order boundary value problems (BVPs) arise in thin-film flows with a surface that has elastic bending resistance. We consider the case in which the elastic interface is clamped at the lateral walls of a closed trough and thus encloses a finite amount of fluid. For a slender film undergoing infinitesimal deformations, the displacement of the elastic surface from its initial equilibrium position obeys a sixth-order (in space) initial boundary value problem (IBVP). To solve this IBVP, we con…

Modeling the high-brightness state of the recurrent nova T CrB as an enhanced mass-transfer event
Wagner Schlindwein, Raymundo Baptista, Gerardo Juan Manuel Luna
https://arxiv.org/abs/2506.05098

Modeling the high-brightness state of the recurrent nova T CrB as an enhanced mass-transfer event
T~Coronae Borealis is the nearest symbiotic recurrent nova. Twice in the last two centuries, in 1866 and 1946, the accreted material ignited on the surface of the white dwarf via runaway thermonuclear fusion reactions and produced a nova eruption. Both eruptions occurred approximately midway through a transient state of high luminosity. A possible explanation of such a state is a dwarf-nova-like outburst, which may arise from a transient increase in the mass-transfer rate of the donor star. We …

Theoretical estimate and characteristics of electro-vortex flows in cylindrical electrodes
Swapnil Soni, Avishek Ranjan
https://arxiv.org/abs/2508.02297 https://

Theoretical estimate and characteristics of electro-vortex flows in cylindrical electrodes
Electro-vortex flows (EVF) arise in conducting fluids due to diverging current lines and the non-conservative Lorentz force. They are typically characterized by the $S$ parameter, defined as $S=μ_0 I^2/4π^2 ρν^2$, where it is known that $Re \sim \sqrt{S}$ for large currents. However, the strength of the EVF in a confined cylindrical domain with a co-axially placed current collector (CC) depends also on the ratio of the CC radius to the cylinder radius, $K=r_0/R$, in addition to the current …

Revisiting Polynomial Hybrid Inflation: Planck and ACT Compatibility via Radiative Corrections
Waqas Ahmed, Saleh O. Allehabi, Mansoor Ur Rehman
https://arxiv.org/abs/2508.01998

Revisiting Polynomial Hybrid Inflation: Planck and ACT Compatibility via Radiative Corrections
We investigate the impact of one-loop radiative corrections in a non-supersymmetric model of hybrid inflation with a chaotic (polynomial-like) potential,$V(ϕ) = V_0 + λ_p ϕ^p$, in the light of the latest constraints from \textit{Planck} and \textit{Atacama Cosmology Telescope} (ACT) observations. Here, $V_0$ denotes the energy scale of inflation, and $λ_p$ is a coupling associated with the polynomial term of power $p$. These corrections can naturally arise from couplings of the inflaton to …

This https://arxiv.org/abs/2505.24159 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning
Shujun Zhou, Guozhang Chen
https://arxiv.org/abs/2506.04943

The Hippocampal Place Field Gradient: An Eigenmode Theory Linking Grid Cell Projections to Multiscale Learning
The hippocampus encodes space through a striking gradient of place field sizes along its dorsal-ventral axis, yet the principles generating this continuous gradient from discrete grid cell inputs remain debated. We propose a unified theoretical framework establishing that hippocampal place fields arise naturally as linear projections of grid cell population activity, interpretable as eigenmodes. Critically, we demonstrate that a frequency-dependent decay of these grid-to-place connection weight…

Uniform boundedness of parametric bilinear fractional integrals
Nuno J. Alves, Loukas Grafakos
https://arxiv.org/abs/2508.01657 https://arxiv.org/pdf/2508.…

Uniform boundedness of parametric bilinear fractional integrals
We provide weak-type bounds for a family of bilinear fractional integrals that arise in the study of Euler-Riesz systems. These bounds are uniform in the natural parameter that describes the family and are sharp, in the sense that they do not hold for any larger set of indices.

Classification of Average Crystalline Topological Superconductors through a Generalized Real-Space Construction
Sarvesh Srinivasan, Jian-Hao Zhang, Yang Qi, Zhen Bi
https://arxiv.org/abs/2508.02661

Classification of Average Crystalline Topological Superconductors through a Generalized Real-Space Construction
We investigate a novel class of topological superconducting phases protected by exact fermion-parity symmetry and average crystalline symmetries. These phases belong to the broader class of average crystalline symmetry-protected topological (ACSPT) states and include numerous examples of intrinsic ACSPTs -- topological phases that arise only in the presence of disorder or decoherence. Unlike conventional symmetry-protected topological (SPT) phases, which require exact symmetry protection, avera…

Answer Matching Outperforms Multiple Choice for Language Model Evaluation
Nikhil Chandak, Shashwat Goel, Ameya Prabhu, Moritz Hardt, Jonas Geiping
https://arxiv.org/abs/2507.02856

Answer Matching Outperforms Multiple Choice for Language Model Evaluation
Multiple choice benchmarks have long been the workhorse of language model evaluation because grading multiple choice is objective and easy to automate. However, we show multiple choice questions from popular benchmarks can often be answered without even seeing the question. These shortcuts arise from a fundamental limitation of discriminative evaluation not shared by evaluations of the model's free-form, generative answers. Until recently, there appeared to be no viable, scalable alternative to…

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Nikolaos G. Paterakis, Petros Karamanakos, Corey O'Meara, Georgios Papafotiou
https://arxiv.org/abs/2507.02577

Future Impact of Quantum Computing on the Computational Landscape of Power Electronics: A Short Tutorial
Quantum computing is emerging as a promising technology for solving complex optimization problems that arise in various engineering fields, and therefore has the potential to also significantly impact power electronics applications. This paper offers a concise tutorial on fundamental concepts in quantum computing, serving as both an introduction to the field and a bridge to its potential applications in power electronics. As a first step in this direction, the use of quantum computing for solvi…

BPS polynomials and Welschinger invariants
H\"ulya Arg\"uz, Pierrick Bousseau
https://arxiv.org/abs/2506.02770 https://arxi…

BPS polynomials and Welschinger invariants
We generalize Block-Göttsche polynomials, originally defined for toric del Pezzo surfaces, to arbitrary surfaces. To do this, we show that these polynomials arise as special cases of BPS polynomials, defined for any surface $S$ as Laurent polynomials in a formal variable $q$ encoding the BPS invariants of the $3$-fold $S \times \mathbb{P}^1$. We conjecture that for surfaces $S_n$ obtained by blowing up $\mathbb{P}^2$ at $n$ general points, the evaluation of BPS polynomials at $q=-1$ yields Wel…

This https://arxiv.org/abs/2505.22073 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents
Due to its general-purpose nature, Generative AI is applied in an ever-growing set of domains and tasks, leading to an expanding set of risks of harm impacting people, communities, society, and the environment. These risks may arise due to failures during the design and development of the technology, as well as during its release, deployment, or downstream usages and appropriations of its outputs. In this paper, building on prior taxonomies of AI risks, harms, and failures, we construct a taxon…

FSM Modeling For Off-Blockchain Computation
Christian Gang Liu
https://arxiv.org/abs/2506.02086 https://arxiv.org/pdf/2506.02086

FSM Modeling For Off-Blockchain Computation
Blockchain benefits are due to immutability, replication, and storage-and-execution of smart contracts on the blockchain. However, the benefits come at increased costs due to the blockchain size and execution. We address three fundamental issues that arise in transferring certain parts of a smart contract to be executed off-chain: (i) identifying which parts (patterns) of the smart contract should be considered for processing off-chain, (ii) under which conditions should a smart-contract patter…

This https://arxiv.org/abs/2306.15594 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

2-Elongated Plane Partitions and Powers of 7: The Localization Method Applied to a Genus 1 Congruence Family
Over the last century, a large variety of infinite congruence families have been discovered and studied, exhibiting a great variety with respect to their difficulty. Major complicating factors arise from the topology of the associated modular curve: classical techniques are sufficient when the associated curve has cusp count 2 and genus 0. Recent work has led to new techniques that have proven useful when the associated curve has cusp count greater than 2 and genus 0. We show here that these te…

Towards Motivic Coactions at Genus One from Zeta Generators
Axel Kleinschmidt, Franziska Porkert, Oliver Schlotterer
https://arxiv.org/abs/2508.02800 https://

Towards Motivic Coactions at Genus One from Zeta Generators
The motivic coaction of multiple zeta values and multiple polylogarithms encodes both structural insights on and computational methods for scattering amplitudes in a variety of quantum field theories and in string theory. In this work, we propose coaction formulae for iterated integrals over holomorphic Eisenstein series that arise from configuration-space integrals at genus one. Our proposal is motivated by formal similarities between the motivic coaction and the single-valued map of multiple …

Viral Hitchhikers and Macroevolution: A Novel Hypothesis on Explosive Speciation
Mario E. Lozano, Marcela G. Pilloff
https://arxiv.org/abs/2506.04511 https…

Viral Hitchhikers and Macroevolution: A Novel Hypothesis on Explosive Speciation
Mobile genetic elements (e.g., endogenous viruses, LINEs, SINEs) can transfer between genomes, even between species, triggering dramatic genetic changes. Endogenous viral elements (EVEs) arise when infectious viruses integrate into the host germline. EVEs integrate at specific sites; their genes or regulatory regions can be exapted and could induce chromosomal rearrangement. We propose that EVEs participate in adaptive radiations and that their parent viruses, through interspecific transfer, co…

Position Auctions in AI-Generated Content
Santiago Balseiro, Kshipra Bhawalkar, Yuan Deng, Zhe Feng, Jieming Mao, Aranyak Mehta, Vahab Mirrokni, Renato Paes Leme, Di Wang, Song Zuo
https://arxiv.org/abs/2506.03309

Position Auctions in AI-Generated Content
We consider an extension to the classic position auctions in which sponsored creatives can be added within AI generated content rather than shown in predefined slots. New challenges arise from the natural requirement that sponsored creatives should smoothly fit into the context. With the help of advanced LLM technologies, it becomes viable to accurately estimate the benefits of adding each individual sponsored creatives into each potential positions within the AI generated content by properly t…

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
Stefano Bae, Dario Bocchi, Luca Maria Del Bono, Luca Leuzzi
https://arxiv.org/abs/2507.02574

Learning and Testing Inverse Statistical Problems For Interacting Systems Undergoing Phase Transition
Inverse problems arise in situations where data is available, but the underlying model is not. It can therefore be necessary to infer the parameters of the latter starting from the former. Statistical mechanics offers a toolbox of techniques to address this challenge. In this work, we illustrate three of the main methods: the Maximum Likelihood, Maximum Pseudo-Likelihood, and Mean-Field approaches. We begin with a thorough theoretical introduction to these methods, followed by their application…

Singularity Avoidance in Gravitational Collapse of an Inhomogeneous Fluid in Rastall Gravity
Akbar Jahan, Halime Miraghaei, Shayesteh Ghaffari, Amir Hadi Ziaie
https://arxiv.org/abs/2507.02026

Singularity Avoidance in Gravitational Collapse of an Inhomogeneous Fluid in Rastall Gravity
Various types of inhomogeneous collapse models in general relativity (GR) lead to the formation of spacetime singularities either visible or hidden by a spacetime horizon. Our aim in the present work is to search for nonsingular models in Rastall gravity that arise as the final outcomes of spherically symmetric gravitational collapse of an inhomogeneous matter cloud. We firstly assume linear equations of state (EoS) for radial and tangential pressure profiles, i.e., $p_r=w_rρ$ and $p_θ=w_θρ…

Radical scaling: beyond our feet and fingers
Marc-Antoine Fardin, Mathieu Hautefeuille, Vivek Sharma
https://arxiv.org/abs/2507.02631 https://

Radical scaling: beyond our feet and fingers
Scaling laws arise and are eulogized across disciplines from natural to social sciences for providing pithy, quantitative, `scale-free', and `universal' power law relationships between two variables. On a log-log plot, the power laws display as straight lines, with a slope set by the exponent of the scaling law. In practice, a scaling relationship works only for a limited range, bookended by crossovers to other scaling laws. Leading with Taylor's oft-cited scaling law for the blast radius of an…

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks
Eyad Gad, Gad Gad, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah
https://arxiv.org/abs/2507.02021

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks
With the rise of Software-Defined Networking (SDN) for managing traffic and ensuring seamless operations across interconnected devices, challenges arise when SDN controllers share infrastructure with deep learning (DL) workloads. Resource contention between DL training and SDN operations, especially in latency-sensitive IoT environments, can degrade SDN's responsiveness and compromise network performance. Federated Learning (FL) helps address some of these concerns by decentralizing DL training…

A priori error estimates for the $\theta$-method for the flow of nonsmooth velocity fields
Gennaro Ciampa, Tommaso Cortopassi, Gianluca Crippa, Raffaele D'Ambrosio, Stefano Spirito
https://arxiv.org/abs/2506.02747

A priori error estimates for the $θ$-method for the flow of nonsmooth velocity fields
Velocity fields with low regularity (below the Lipschitz threshold) naturally arise in many models from mathematical physics, such as the inhomogeneous incompressible Navier-Stokes equations, and play a fundamental role in the analysis of nonlinear PDEs. The DiPerna-Lions theory ensures existence and uniqueness of the flow associated with a divergence-free velocity field with Sobolev regularity. In this paper, we establish a priori error estimates showing a logarithmic rate of convergence of nu…

Sedimentation of particulate suspensions under stagnant conditions in horizontal pipes
Tanmoy Das, Daniel Lester, Anthony Stickland, Nicky Eshtiaghi
https://arxiv.org/abs/2506.04443

Sedimentation of particulate suspensions under stagnant conditions in horizontal pipes
Sedimentation of particulate suspensions in horizontal pipes can lead to formation, growth and consolidation of a solid-like bed which can severely retard pipeline performance. As stagnant flow conditions frequently arise during industrial processes, critical operational questions are: (i) at what rate and extent does sedimentation proceed, and (ii) can the sedimentation dynamics be predicted from conventional suspension characterisation methods? We address these questions by characterising the…

This https://arxiv.org/abs/2502.02080 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Insight into the physical processes that shape the metallicity profiles in galaxies
The distribution of chemical elements in the star-forming regions can store information on the chemical enrichment history of the galaxies. Negative metallicity gradients are expected in galaxies forming inside-out. However, observations show that the metallicity profiles can be broken. We aim to study the diversity of metallicity profiles that can arise in the current cosmological context and compare them with available observations. We also seek to identify the physical processes responsible …

Indefinite theta functions arising from affine Lie superalgebras and sums of triangular numbers
Toshiki Matsusaka, Miyu Suzuki
https://arxiv.org/abs/2506.04722

Indefinite theta functions arising from affine Lie superalgebras and sums of triangular numbers
We extend the recently developed theory of Roehrig and Zwegers on indefinite theta functions to prove certain power series are modular forms. As a consequence, we obtain several power series identities for powers of the generating function of triangular numbers. We also show that these identities arise as specializations of denominator identities of affine Lie superalgebras.

This https://arxiv.org/abs/2411.07757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Ordinals arising as residual finiteness depths
For every natural number $n$, there exist finitely presented groups with residual finiteness depths $ω\cdot n$ and $ω\cdot n + 1$. The ordinals that arise as the residual finiteness depth of a finitely generated group (equivalently, a countable group) are $0,\, 1$, the countable limit ordinals, and the successors of these limit ordinals.

RealDrive: Retrieval-Augmented Driving with Diffusion Models
Wenhao Ding, Sushant Veer, Yuxiao Chen, Yulong Cao, Chaowei Xiao, Marco Pavone
https://arxiv.org/abs/2505.24808

RealDrive: Retrieval-Augmented Driving with Diffusion Models
Learning-based planners generate natural human-like driving behaviors by learning to reason about nuanced interactions from data, overcoming the rigid behaviors that arise from rule-based planners. Nonetheless, data-driven approaches often struggle with rare, safety-critical scenarios and offer limited controllability over the generated trajectories. To address these challenges, we propose RealDrive, a Retrieval-Augmented Generation (RAG) framework that initializes a diffusion-based planning po…

Mechanistic models for panel data: Analysis of ecological experiments with four interacting species
Bo Yang, Jesse Wheeler, Meghan A. Duffy, Aaron A. King, Edward L. Ionides
https://arxiv.org/abs/2506.04508

Mechanistic models for panel data: Analysis of ecological experiments with four interacting species
In an ecological context, panel data arise when time series measurements are made on a collection of ecological processes. Each process may correspond to a spatial location for field data, or to an experimental ecosystem in a designed experiment. Statistical models for ecological panel data should capture the high levels of nonlinearity, stochasticity, and measurement uncertainty inherent in ecological systems. Furthermore, the system dynamics may depend on unobservable variables. This study ap…

Cosmological Frequency Combs
Oem Trivedi, Madhurendra Mishra, Adarsh Ganesan
https://arxiv.org/abs/2507.01929 https://arxiv.org/pdf/2…

Cosmological Frequency Combs
We identify a new class of time periodic attractor solutions in scalar field cosmology, which we term Cosmological Frequency Combs (CFC). These solutions arise in exponential quintessence models with a phantom matter background and exhibit coherent phase-locked oscillations in the scalar field's normalized variables. We demonstrate that such dynamics induce modulations in observables like the Hubble parameter and growth rate, offering a dynamical mechanism to even address the H0 tension exactly…

Towards Efficient Verification of Computation in Quantum Devices
Keren Li, Peng Yan, Hanru Jiang, Nengkun Yu
https://arxiv.org/abs/2508.00262 https://arxiv…

Towards Efficient Verification of Computation in Quantum Devices
Designing quantum processors is a complex task that demands advanced verification methods to ensure their correct functionality. However, traditional methods of comprehensively verifying quantum devices, such as quantum process tomography, face significant limitations because of the exponential growth in computational resources. These limitations arise from treating the system as a black box and ignoring its design structure. Consequently, new testing methods must be developed considering the d…

This https://arxiv.org/abs/2112.14249 has been replaced.
link: https://scholar.google.com/scholar?q=a

Nested Nonparametric Instrumental Variable Regression
Several causal parameters in short panel data models are functionals of a nested nonparametric instrumental variable regression (nested NPIV). Recent examples include mediated, time varying, and long term treatment effects identified using proxy variables. In econometrics, examples arise in triangular simultaneous equations and hedonic price systems. However, it appears that explicit mean square convergence rates for nested NPIV are unknown, preventing inference on some of these parameters with…

Social Robots for People with Dementia: A Literature Review on Deception from Design to Perception
Fan Wang, Giulia Perugia, Yuan Feng, Wijnand IJsselsteijn
https://arxiv.org/abs/2507.00963

Social Robots for People with Dementia: A Literature Review on Deception from Design to Perception
As social robots increasingly enter dementia care, concerns about deception, intentional or not, are gaining attention. Yet, how robotic design cues might elicit misleading perceptions in people with dementia, and how these perceptions arise, remains insufficiently understood. In this scoping review, we examined 26 empirical studies on interactions between people with dementia and physical social robots. We identify four key design cue categories that may influence deceptive impressions: cues r…

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
Jiaxing Wang, Yifeng Yu, Jiahan Song, Bin Cao, Jing Fan, Ji Zhang
https://arxiv.org/abs/2507.02690

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
Next activity prediction represents a fundamental challenge for optimizing business processes in service-oriented architectures such as microservices environments, distributed enterprise systems, and cloud-native platforms, which enables proactive resource allocation and dynamic service composition. Despite the prevalence of sequence-based methods, these approaches fail to capture non-sequential relationships that arise from parallel executions and conditional dependencies. Even though graph-ba…

Equivalence Classes in AES -- Part 1
David Cornwell
https://arxiv.org/abs/2506.23050 https://arxiv.org/pdf/2506.23050

Equivalence Classes in AES -- Part 1
We investigate properties of equivalence classes in AES which arise naturally from properties of MixColumns and InvMixColumns. These two operations have the property that the XOR of the 4 input bytes equals the XOR of 4 output bytes. We examine the effect on equivalence classes due to the operation of SubBytes, ShiftRows, MixColumns and AddRoundKey. The next phase of research is to find a key recovery attack using known (plaintext, ciphertext) equivalence class pairs. Keywords: AES, Equivalen…

This https://arxiv.org/abs/2303.07133 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Braid stability for periodic orbits of area-preserving surface diffeomorphisms
We consider an area-preserving diffeomorphism of a compact surface, which is assumed to be an irrational rotation near each boundary component. A finite set of periodic orbits of the diffeomorphism gives rise to a braid in the mapping torus. We show that under some nondegeneracy hypotheses, the isotopy classes of braids that arise from finite sets of periodic orbits are stable under Hamiltonian perturbations that are small with respect to the Hofer metric. A corollary is that for a Hamiltonian …

Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
Xiyu Zhao, Qimei Cui, Ziqiang Du, Weicai Li, Xi Yu, Wei Ni, Ji Zhang, Xiaofeng Tao, Ping Zhang
https://arxiv.org/abs/2506.02422

Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling
Personalized federated learning (PFL) offers a solution to balancing personalization and generalization by conducting federated learning (FL) to guide personalized learning (PL). Little attention has been given to wireless PFL (WPFL), where privacy concerns arise. Performance fairness of PL models is another challenge resulting from communication bottlenecks in WPFL. This paper exploits quantization errors to enhance the privacy of WPFL and proposes a novel quantization-assisted Gaussian differ…

Deep BSVIEs Parametrization and Learning-Based Applications
Nacira Agram, Giulia Pucci
https://arxiv.org/abs/2507.01948 https://arxiv…

Deep BSVIEs Parametrization and Learning-Based Applications
We study the numerical approximation of backward stochastic Volterra integral equations (BSVIEs) and their reflected extensions, which naturally arise in problems with time inconsistency, path dependent preferences, and recursive utilities with memory. These equations generalize classical BSDEs by involving two dimensional time structures and more intricate dependencies. We begin by developing a well posedness and measurability framework for BSVIEs in product probability spaces. Our approach …

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
Egil Diau
https://arxiv.org/abs/2506.00099 https://

Finance as Extended Biology: Reciprocity as the Cognitive Substrate of Financial Behavior
A central challenge in economics and artificial intelligence is explaining how financial behaviors-such as credit, insurance, and trade-emerge from decentralized social interaction. We argue that these functions are not institutionally engineered, but arise from a single behavioral substrate: reciprocity. Observed across primates and foundational to early human societies, reciprocity governed the exchange of goods, regulation of obligation, and maintenance of cooperation-without formal rules. T…

Sampling Bayesian probabilities given only sampled priors
Gary Bernstein, William Assignies Doumerg, Michael A. Troxel, Alex Alarcon, Alexandra Amon, Giulia Giannini, Boyan Yin, Sahar Allam, Felipe Andrade-Oliveira, David Brooks, Aurelio Carnero Rosell, Jorge Carretero, Luiz da Costa, Maria Elidaiana da Silva Pereira, Juan De Vicente, Spencer Everett, Josh Frieman, Juan Garcia-Bellido, Daniel Gruen, Samuel Hinton, Devon L. Hollowood, Klaus Honscheid, David James, Sujeong Lee, Jennifer …

Sampling Bayesian probabilities given only sampled priors
A typical Bayesian inference on the values of some parameters of interest $q$ from some data $D$ involves running a Markov Chain (MC) to sample from the posterior $p(q,n | D) \propto \mathcal{L}(D | q,n) p(q) p(n),$ where $n$ are some nuisance parameters. In many cases, the nuisance parameters are high-dimensional, and their prior $p(n)$ is itself defined only by a set of samples that have been drawn from some other MC. Two problems arise: first, the MC for the posterior will typicall…

YES YES YES!
Arise Dame Chloe Kelly. #Lionesses #Euro2025 #EngEsp

Optimal Targeting in Dynamic Systems
Yuchen Hu, Shuangning Li, Stefan Wager
https://arxiv.org/abs/2507.00312 https://arxiv.org/pdf/25…

Optimal Targeting in Dynamic Systems
Modern treatment targeting methods often rely on estimating the conditional average treatment effect (CATE) using machine learning tools. While effective in identifying who benefits from treatment on the individual level, these approaches typically overlook system-level dynamics that may arise when treatments induce strain on shared capacity. We study the problem of targeting in Markovian systems, where treatment decisions must be made one at a time as units arrive, and early decisions can impa…

On fractional differential equations, dimensional analysis, and the double gamma function
J. Vaz, E. Capelas de Oliveira
https://arxiv.org/abs/2506.00026 h…

On fractional differential equations, dimensional analysis, and the double gamma function
In this paper we discuss some issues that arise in the process of writing a fractional differential equation (FDE) by replacing an integer order derivative by a fractional order derivative in a given differential equation. To address these issues, we propose a dimensional regularization of the Caputo fractional derivative, ensuring consistency in physical dimensions. Then we solve some FDEs using this proposed dimensional regularization. We show that the solutions of these FDEs are most conveni…

The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush Varshney
https://arxiv.org/abs/2506.01813

The Ultimate Test of Superintelligent AI Agents: Can an AI Balance Care and Control in Asymmetric Relationships?
This paper introduces the Shepherd Test, a new conceptual test for assessing the moral and relational dimensions of superintelligent artificial agents. The test is inspired by human interactions with animals, where ethical considerations about care, manipulation, and consumption arise in contexts of asymmetric power and self-preservation. We argue that AI crosses an important, and potentially dangerous, threshold of intelligence when it exhibits the ability to manipulate, nurture, and instrumen…

This https://arxiv.org/abs/2303.06701 has been replaced.
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Composite Sorting
This paper introduces an assignment model with concave costs of skill gaps, which arise generally when firms mitigate costs of mismatch as in Stigler (1939) and Laffont and Tirole (1986, 1991). Concave costs of skill gaps imply that the output function is neither supermodular nor submodular. We thus introduce a tractable model that interpolates between the polar canonical cases of supermodularity and submodularity. We characterize sorting, wages, and comparative statics and show these substanti…

Partial Floquet Transformation and Model Order Reduction of Linear Time-Periodic Systems
Sam Bender, Christopher Beattie
https://arxiv.org/abs/2508.00221 https://

Partial Floquet Transformation and Model Order Reduction of Linear Time-Periodic Systems
Time-periodic dynamical systems occur commonly both in nature and as engineered systems. Large-scale linear time-periodic dynamical systems, for example, may arise through linearization of a nonlinear system about a given periodic solution (possibly as a consequence of a baseline periodic forcing) with subsequent spatial discretization. The potential need to simulate responses to a wide variety of input profiles (viewed as perturbations off a baseline periodic forcing) creates a potent incentiv…

This https://arxiv.org/abs/2410.24217 has been replaced.
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Joule expansion of a quantum gas
We revisit the classic Joule-expansion experiments, now with a quantum-degenerate atomic Bose gas. In contrast to the classical-gas experiments, where no temperature change was measured, here we observe and quantitatively explain both cooling and heating effects, which arise, respectively, due to quantum statistics and inter-particle interactions.

Coupling Electromagnetism to Torsion: Black Holes and Spin-Charge Interactions
Sebastian Bahamonde, Jorge Maggiolo, Christian Pfeifer
https://arxiv.org/abs/2507.02362

Coupling Electromagnetism to Torsion: Black Holes and Spin-Charge Interactions
The coupling between matter fields and gravity (encoded in the geometry of spacetime) can be realized in various ways. Most commonly, a minimal coupling principle is employed, meaning that all matter fields, except spinors, couple only to the spacetime metric, while spinors additionally couple to the spacetime connection. Non-minimal couplings between matter fields and spacetime curvature can arise, for example, from quantum field theory on curved spacetime through renormalization corrections, …

Perfecting the Line Graph
Hartosh Singh Bal
https://arxiv.org/abs/2507.23231 https://arxiv.org/pdf/2507.23231

Perfecting the Line Graph
This paper introduces two canonical constructions that transform arbitrary finite graphs into perfect graphs: the symmetric lift $\mathrm{HL}'_2(G)$, which is purely structural and label-invariant, and the ordered lift $\mathrm{HL}_2(G)$, which depends explicitly on vertex labeling and encodes directional information. Both lifts arise as line graphs of bipartite double covers and are box-perfect. The symmetric lift $\mathrm{HL}'_2(G)$ forms a canonical 2-cover of the line graph $L(G)$. This i…

This https://arxiv.org/abs/2211.03851 has been replaced.
link: https://scholar.google.com/scholar?q=a

Wreath Macdonald operators
We construct a novel family of difference-permutation operators and prove that they are diagonalized by the wreath Macdonald $P$-polynomials; the eigenvalues are written in terms of elementary symmetric polynomials of arbitrary degree. Our operators arise from integral formulas for the action of the horizontal Heisenberg subalgebra in the vertex representation of the corresponding quantum toroidal algebra

Analysis and Numerical Approximation to Interactive Dynamics of Navier Stokes-Plate Interaction PDE System
Pelin G. Geredeli (Clemson University), Quyuan Lin (Clemson University), Dylan Mcknight (Colorado Mesa University), Mohammad Mahabubur Rahman (Clemson University)
https://arxiv.org/abs/2507.02230

Analysis and Numerical Approximation to Interactive Dynamics of Navier Stokes-Plate Interaction PDE System
We consider a Navier-Stokes fluid-plate interaction (FSI) system which describes the evolutions of the fluid contained within a 3D cavity, as it interacts with a deformable elastic membrane on the ``free" upper boundary of the cavity. These models arise in various aeroelastic and biomedical applications as well as in the control of ocular pressure, and sloshing phenomena. We analyze the well-posedness of weak solutions to the stationary ($λ$-parametrized) coupled PDE system by way of invoking …

Free-agent WR Tyler Boyd would 'absolutely' play for Steelers, thinks he has 'a few more years' left in him https://www.nfl.com/news/free-agent-wr-tyler-boyd-would-absolutely-play-for-steeler…

Sequential binding-unbinding based specific interactions highlight exchange dynamics and size distribution of condensates
Bhanjan Debnath, Parag Katira
https://arxiv.org/abs/2506.02516

Sequential binding-unbinding based specific interactions highlight exchange dynamics and size distribution of condensates
Understanding the mechanisms of formation of organelles and biomolecular condensates via liquid-liquid phase separation is a topic of great interest. It is reasonable to assume that the formation of protein-specific condensates inside a crowded, multicomponent cellular environment requires specific protein-protein interactions with lifetimes longer than non-specific protein-protein interactions. These longer-lived, specific interactions can arise through complex protein binding and unbinding pa…

PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
Songjun Cao, Qinghua Wu, Jie Chen, Jin Li, Long Ma
https://arxiv.org/abs/2506.01039 h…

PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data
As parallel training data is scarce for one-shot voice conversion (VC) tasks, waveform reconstruction is typically performed by various VC systems. A typical one-shot VC system comprises a content encoder and a speaker encoder. However, two types of mismatches arise: one for the inputs to the content encoder during training and inference, and another for the inputs to the speaker encoder. To address these mismatches, we propose a novel VC training method called \textit{PseudoVC} in this paper. …

Aspects of 4d $\mathcal{N}=1$ $ADE$ gauge theories from M-theory: decomposition, automorphisms, and generalised symmetries
Osama Khlaif, Marwan Najjar
https://arxiv.org/abs/2508.00564

Aspects of 4d $\mathcal{N}=1$ $ADE$ gauge theories from M-theory: decomposition, automorphisms, and generalised symmetries
We study the decomposition of 4d $\mathcal{N}=1$ gauge theories with Lie algebras of type $\mathfrak{su}(N)$, $\mathfrak{so}(2N)$, and $\mathfrak{e}_{6}$, realized via M-theory geometric engineering. These theories, together with their novel decomposition structure, arise from quotienting the Bryant--Salamon spin bundle over the 3-sphere by special finite subgroups acting simultaneously on both the fiber and base. We show that these gauge theories admit both inner and outer automorphisms, enabl…

This https://arxiv.org/abs/2505.20389 has been replaced.
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Dispersion relation of the neutrino plasma: Unifying fast, slow, and collisional instabilities
In neutrino-dense astrophysical environments, these particles exchange flavor through a coherent weak field, forming a collisionless neutrino plasma with collective flavor dynamics. Instabilities, which grow and affect the environment, may arise from neutrino-neutrino refraction alone (fast limit), vacuum energy splittings caused by masses (slow limit), or neutrino-matter scattering (collisional limit). We present a comprehensive analytical description of the dispersion relation governing these…

Novel black holes with scalar hair in the Einstein-Maxwell-Scalar Theory with positive coupling
Hong Guo, Wei-Liang Qian, Bean Wang
https://arxiv.org/abs/2506.02445

Novel black holes with scalar hair in the Einstein-Maxwell-Scalar Theory with positive coupling
In this work, we find a new branch of hairy black hole solutions in the Einstein-Maxwell-Scalar (EMS) theory in four-dimensional asymptotically flat spacetimes. Different from spontaneous scalarization induced by tachyonic instabilities in Reissner-Nordström (RN) black holes with a negative coupling parameter, these scalar-hairy black hole solutions arise when the coupling parameter is positive, where nonlinear coupling plays the dominant role, meaning that the coupling is positively correlate…

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
Shenzhe Zhu, Jiao Sun, Yi Nian, Tobin South, Alex Pentland, Jiaxin Pei
https://arxiv.org/abs/2506.00073

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets
AI agents are increasingly used in consumer-facing applications to assist with tasks such as product search, negotiation, and transaction execution. In this paper, we explore a future scenario where both consumers and merchants authorize AI agents to fully automate negotiations and transactions. We aim to answer two key questions: (1) Do different LLM agents vary in their ability to secure favorable deals for users? (2) What risks arise from fully automating deal-making with AI agents in consum…

This https://arxiv.org/abs/2102.08600 has been replaced.
link: https://scholar.google.com/scholar?q=a

A new characterization of the convergence factor of two-level methods
Multilevel methods are among the most efficient numerical methods for solving large-scale systems of equations that arise from discretized partial differential equations. Two-level convergence theory plays a fundamental role in the analysis and design of multilevel methods. In this paper, we present a concise and easy-to-use identity for characterizing the convergence factor of two-level methods, whose hierarchical spaces can be either overlapping or non-overlapping. In order to illustrate its …

This https://arxiv.org/abs/2502.04160 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Lotka-Volterra-type kinetic equations for interacting species
In this work, we examine a kinetic framework for modeling the time evolution of size distribution densities of two populations governed by predator-prey interactions. The model builds upon the classical Boltzmann-type equations, where the dynamics arise from elementary binary interactions between the populations. The model uniquely incorporates a linear redistribution operator to quantify the birth rates in both populations, inspired by wealth redistribution operators. We prove that, under a su…

This https://arxiv.org/abs/2505.23460 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Spin polarized enantio-sensitive multipolar photoelectron currents
Photoelectron circular dichroism (PECD) manifests as a forward-backward asymmetry of electron emission in the direction orthogonal to the light polarization plane via one-photon ionization of chiral molecules with circularly polarized light. Multi-polar `PECD' currents, i.e., currents resolved along multiple directions, have also been predicted using two mutually-orthogonal linearly polarized light with carrier frequencies $ω$ and $2ω$. These currents arise from the interference between the o…

Controller Design for Bilinear Neural Feedback Loops
Dhruv Shah, Jorge Cort\'es
https://arxiv.org/abs/2505.24106 https://arxiv.or…

Controller Design for Bilinear Neural Feedback Loops
This paper considers a class of bilinear systems with a neural network in the loop. These arise naturally when employing machine learning techniques to approximate general, non-affine in the input, control systems. We propose a controller design framework that combines linear fractional representations and tools from linear parameter varying control to guarantee local exponential stability of a desired equilibrium. The controller is obtained from the solution of linear matrix inequalities, whic…

Assessing the Alignment of Automated Vehicle Decisions with Human Reasons
Lucas Elbert Suryana, Saeed Rahmani, Simeon Craig Calvert, Arkady Zgonnikov, Bart van Arem
https://arxiv.org/abs/2507.23324

Assessing the Alignment of Automated Vehicle Decisions with Human Reasons
A key challenge in deploying automated vehicles (AVs) is ensuring they make appropriate decisions in ethically challenging everyday driving situations. While much attention has been paid to rare, high-stakes dilemmas such as trolley problems, similar tensions also arise in routine scenarios, such as navigating empty intersections, where multiple human considerations, including legality and comfort, often conflict. Current AV planning systems typically rely on rigid rules, which struggle to bala…

Configuration Spaces of Colored Graphs
Aaron Abrams
https://arxiv.org/abs/2507.00702 https://arxiv.org/pdf/2507.00702

Configuration Spaces of Colored Graphs
This paper is intended to provide concrete examples of concepts discussed elsewhere in this volume, especially splittings of groups and non-positively curved cube complexes but also other things. The idea of the construction (configuration spaces) is not new, but this family of examples doesn't seem to be well-known. Nevertheless they arise in a variety of contexts; applications are discussed in the last section. Most proofs are omitted.

5-regular graphs and the 3-dimensional rigidity matroid
Rebecca Monks, Anthony Nixon
https://arxiv.org/abs/2506.22214 https://arxiv.o…

5-regular graphs and the 3-dimensional rigidity matroid
A bar-joint framework $(G,p)$ in Euclidean $d$-space is rigid if the only edge-length-preserving continuous motions arise from isometries of $\mathbb{R}^d$. In the generic case, rigidity is determined by the generic $d$-dimensional rigidity matroid of $G$. The combinatorial nature of this matroid is well understood when $d=1,2$ but open when $d\geq 3$. Jackson and Jordán 2005 characterised independence in this matroid for connected graphs with minimum degree at most $d+1$ and maximum degree at…

Long-time evolution of forced waves in the low viscosity regime
Nicolas Frantz, Micha{\l} Wrochna
https://arxiv.org/abs/2508.00189 https://arxiv.org/pdf/25…

Long-time evolution of forced waves in the low viscosity regime
We consider a model for internal waves described by a zero order pseudo-differential Hamiltonian $P$ damped by a second order viscosity term $i νQ$. Under Morse-Smale or similar weaker global conditions on the classical dynamics, we describe qualitatively the long-time behavior of solutions of the corresponding evolution equation with smooth forcing in a small $ν$ regime. We show that dissipation effects arise no earlier than at the $t\sim ν^{-1/3-}$ time scale.

On the oscillatory dynamics of a Saffman--Taylor finger with a bubble at its tip
Jack Lawless, Andrew L. Hazel, Anne Juel
https://arxiv.org/abs/2506.00761 …

On the oscillatory dynamics of a Saffman--Taylor finger with a bubble at its tip
The complex behaviour of air-liquid interfaces driven into Hele-Shaw channels at high speeds could arise from oscillatory dynamics; yet, both the physical and dynamical mechanisms that lead to interfacial oscillations remain unclear. We extend the experiments by Couder \textit{et. al.} (\textit{Phys. Rev. A}, vol. 34, 1986, p. 5175) to present a systematic investigation of the dynamics that result when a small air bubble is placed at the tip of a steadily propagating air finger in a Hele-Shaw…

Learning Constraints Directly from Network Data
Hongyu H\`e, Minhao Jin, Maria Apostolaki
https://arxiv.org/abs/2506.23964 https://ar…

Learning Constraints Directly from Network Data
Network data conforms to a wide range of rules that arise from protocols, design principles, and deployment decisions (e.g., a packet's queuing delay must be less than its end-to-end delay). Formalizing such rules as logic constraints can (i) improve the quality of synthetic data, (ii) reduce the brittleness of machine learning (ML) models, and (iii) improve semantic understanding of network measurements. However, these benefits remain out of reach if rule extraction is manual or solely reliant…

Critical demand in a stochastic model of flows in supply networks
Yannick Feld, Marc Barthelemy
https://arxiv.org/abs/2505.24813 https://

Critical demand in a stochastic model of flows in supply networks
Supply networks are essential for modern production, yet their critical properties remain understudied. We present a stochastic model with random production capacities to analyze material flow to a root node, focusing on topology and buffer stocks. The critical demand, where unsatisfied demand diverges, is examined mostly through numerical simulations. Without stocks, minimal production dictates behavior, making topology irrelevant. With stocks, memory effects arise, making topology crucial. In…

Requirements for Active Assistance of Natural Questions in Software Architecture
Diogo Lemos, Ademar Aguiar, Neil B. Harrison
https://arxiv.org/abs/2506.23898

Requirements for Active Assistance of Natural Questions in Software Architecture
Natural questions are crucial to shaping key architectural decisions and preserving architectural knowledge. They arise organically during the architectural design process, often resulting from the existing architectural experience of the designer and the distinctive characteristics of the system being designed. However, natural questions are often mismanaged or ignored, which can lead to architectural drift, knowledge loss, inefficient resource use, or poor understandability of the system's ar…

This https://arxiv.org/abs/2409.13412 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Tree-level unitarity constraints on heavy neutral leptons
Heavy neutral leptons (HNLs) can explain the origin of neutrino masses and oscillations over a wide range of masses. Direct experimental probes of HNLs become unfeasible for masses significantly above the electroweak scale.Consequently, the strongest limits arise from the non-observation of charged lepton flavor-violating processes induced by HNLs at loop level.Counter-intuitively, these bounds tighten as the HNL mass increases, an effect that persists within the perturbative regime. This wor…

This https://arxiv.org/abs/2410.10946 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Equivalence checking of quantum circuits via intermediary matrix product operator
As quantum computing advances, the complexity of quantum circuits is rapidly increasing, driving the need for robust methods to aid in their design. Equivalence checking plays a vital role in identifying errors that may arise during compilation and optimization of these circuits and is a critical step in quantum circuit verification. In this work, we introduce a novel method based on Matrix Product Operators (MPOs) for determining the equivalence of quantum circuits. Our approach contracts tens…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
Luiza Ribeiro, Alexandre Street, Jose Manuel Arroyo, Rodrigo Moreno
https://arxiv.org/abs/2505.24159

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

Computing matrix $\varphi$-functions arising in exponential integrators
Awad H. Al-Mohy, Xiaobo Liu
https://arxiv.org/abs/2506.01193 https://

Computing matrix $φ$-functions arising in exponential integrators
A new scaling and recovering algorithm is proposed for simultaneously computing the matrix $φ$-functions that arise in exponential integrator methods for the numerical solution of certain first-order systems of ordinary differential equations (ODEs). The algorithm initially scales the input matrix down by a nonnegative integer power of two, then computes the $[m/m]$ diagonal Padé approximant to $φ_p$, where $p$ is the largest index of interest. The remaining $[m+p{-}j/m]$ Padé approximants …

This https://arxiv.org/abs/2404.11444 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Fidelity decay and error accumulation in random quantum circuits
We present a comprehensive analysis of fidelity decay and error accumulation in faulty quantum circuit models. Our work devises an analytical bound for the average fidelity between desired and faulty output states, accounting for errors that may arise during the implementation of two-qubit gates and multi-qubit permutations. It is shown that fidelity decays exponentially with both circuit depth and the number of qubits raised to an architecture-dependent power, and determine the decay rates as …

Graded Unitarity in the SCFT/VOA Correspondence
Arash Arabi Ardehali, Christopher Beem, Madalena Lemos, Leonardo Rastelli
https://arxiv.org/abs/2507.23781 https://

Graded Unitarity in the SCFT/VOA Correspondence
Vertex algebras that arise from four-dimensional, $\mathcal{N}=2$ superconformal field theories inherit a collection of novel structural properties from their four-dimensional ancestors. Crucially, when the parent SCFT is unitary, the corresponding vertex algebra is not unitary in the conventional sense. In this paper, we motivate and define a generalized notion of unitarity for vertex algebras that we call \emph{graded unitarity}, and which captures the consequences of four-dimensional unitari…

Gravitational Wave Signatures of Periodic Motion near Higher-Derivative Einstein-\AE ther Black Holes
Sayantan Choudhury, Md Khalid Hossain, Gulnur Bauyrzhan, Koblandy Yerzhanov
https://arxiv.org/abs/2507.00904

Gravitational Wave Signatures of Periodic Motion near Higher-Derivative Einstein-Æther Black Holes
Higher-derivative modifications of general relativity are generically expected from effective field theory approaches to quantum gravity, and they arise naturally in Lorentz-violating theories such as Einstein-Ether gravity. In this work, we investigate black hole spacetimes within Einstein-Ether theory supplemented by quadratic curvature corrections, including terms proportional to $R^2$, $R_{μν} R^{μν}$, and $R_{μνλρ} R^{μνλρ}$. We derive the corrected static, spherically symmetri…

Global existence for a fractionally damped nonlinear Jordan--Moore--Gibson--Thompson equation
Mostafa Meliani, Belkacem Said-Houari
https://arxiv.org/abs/2507.01538

Global existence for a fractionally damped nonlinear Jordan--Moore--Gibson--Thompson equation
In nonlinear acoustics, higher-order-in-time equations arise when taking into account a class of thermal relaxation laws in the modeling of sound wave propagation. In the literature, these families of equations came to be known as Jordan--Moore--Gibson--Thompson (JMGT) models. In this work, we show the global existence of solutions relying only on minimal assumptions on the nonlocal damping kernel. In particular, our result covers the until-now open question of global existence of solutions for…

Discrete restrictions from Laurent monomial systems for multiple Dirichlet series
Shenghao Hua
https://arxiv.org/abs/2507.23477 https://arxiv.org/pdf/2507.…

Discrete restrictions from Laurent monomial systems for multiple Dirichlet series
We introduce a special class of multiple Dirichlet series whose terms are supported on a variety and which admit an Euler product structure. We show that these series arise naturally from twisted moments of automorphic \( L \)-functions associated with Dirichlet twists. We proposed several conjectures on the analytic properties of these series.

Dark matter as the source of neutrino mass: theory overview and experimental prospects
Ivania M. \'Avila, Anirban Karan, Sanjoy Mandal, Soumya Sadhukhan, Jos\'e W. F. Valle
https://arxiv.org/abs/2506.24027

Dark matter as the source of neutrino mass: theory overview and experimental prospects
We review theoretical frameworks in which small neutrino masses arise radiatively through interactions with a dark sector that also accounts for cosmological dark matter. A prototypical example is provided by scotogenic schemes, that extend the inert Higgs doublet model. We outline their key features and limitations, including possible completions, such as the revamped setup. The phenomenological signatures of both fermionic and bosonic scotogenic dark matter are discussed, along with scoto-see…

Stabilization of Age-Structured Competing Populations
Carina Veil, Miroslav Krsti\'c, Patrick McNamee, Oliver Sawodny
https://arxiv.org/abs/2507.23013 https://

Stabilization of Age-Structured Competing Populations
Age-structured models represent the dynamic behaviors of populations over time and result in integro-partial differential equations (IPDEs). Such processes arise in biotechnology, economics, demography, and other domains. Coupled age-structured IPDE population dynamics with two or more species occur in epidemiology and ecology, but have received little attention thus far. This work considers an exponentially unstable model of two competing predator populations, formally referred to in the liter…

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
Zengyang Li, Yimeng Li, Binbin Huang, Peng Liang, Ran Mo, Hui Liu, Yutao Ma
https://arxiv.org/abs/2507.21954 https…

Fine-Tuning Code Language Models to Detect Cross-Language Bugs
Multilingual programming, which involves using multiple programming languages (PLs) in a single project, is increasingly common due to its benefits. However, it introduces cross-language bugs (CLBs), which arise from interactions between different PLs and are difficult to detect by single-language bug detection tools. This paper investigates the potential of pre-trained code language models (CodeLMs) in CLB detection. We developed CLCFinder, a cross-language code identification tool, and constr…

Lamb-Dicke Dynamics of Interacting Rydberg Atoms Coupled to the Motion of an Optical Tweezer Array
Aslam Parvej, Ludwig Mathey
https://arxiv.org/abs/2506.22669

Lamb-Dicke Dynamics of Interacting Rydberg Atoms Coupled to the Motion of an Optical Tweezer Array
Neutral Rydberg atoms trapped in optical tweezer arrays provide a platform for quantum simulation and computation. In this work, we investigate the Lamb-Dicke dynamics of coupled Rydberg atoms for different trapping frequencies. We model the atomic motion by both internal and motional degrees of freedom, in which the motional states arise due to the oscillation of each atom in optical tweezer traps due to the light-atom interaction. In this setup, the internal states are coupled to a laser ligh…

Quantum Uncertainties of Static Spherically Symmetric Spacetimes
Benjamin Koch, Ali Riahinia
https://arxiv.org/abs/2506.22545 https://

Quantum Uncertainties of Static Spherically Symmetric Spacetimes
We present a canonical quantization framework for static spherically symmetric spacetimes described by the Einstein-Hilbert action with a cosmological constant. In addition to recovering the classical Schwarzschild-(Anti)-de Sitter solutions via the Ehrenfest theorem, we investigate the quantum uncertainty relations that arise among the geometric operators in this setup. Our analysis uncovers an intriguing relation to black hole thermodynamics and opens a new angle towards generalized uncertain…

An inverse problem for the Standard Model of particle physics
Xi Chen, Matti Lassas, Lauri Oksanen, Gabriel P. Paternain
https://arxiv.org/abs/2505.24454 h…

An inverse problem for the Standard Model of particle physics
We pose and solve an inverse problem for the classical field equations that arise in the Standard Model of particle physics. Our main result describes natural conditions on the representations, so that it is possible to recover all the fields from measurements in a small set within a causal domain in Minkowski space. These conditions are satisfied for the representations arising in the Standard Model.

When First Beats Fast: Early Neutrino-Mass-Driven Flavor Instabilities in Supernovae
Damiano F. G. Fiorillo, Hans-Thomas Janka, Georg G. Raffelt
https://arxiv.org/abs/2507.22985

When First Beats Fast: Early Neutrino-Mass-Driven Flavor Instabilities in Supernovae
Collective neutrino flavor conversions in core-collapse supernovae (SNe) begin with instabilities, initially triggered when the dominant $ν_e$ outflow concurs with a small flux of antineutrinos with the opposite lepton number, with $\overlineν_e$ dominating over $\overlineν_μ$. When these "flipped" neutrinos emerge in the energy-integrated angular distribution (angular crossing), they initiate a fast instability. However, before such conditions arise, spectral crossings typically appear wit…

Plasmon-assisted photoelectron emission in a model cluster using time-dependent density functional theory and the time-dependent surface-flux method
Mikhail Bednov, Waqas Pervez, Ingo Barke, Dieter Bauer
https://arxiv.org/abs/2507.22709

Plasmon-assisted photoelectron emission in a model cluster using time-dependent density functional theory and the time-dependent surface-flux method
We investigate plasmon-assisted photoelectron emission using a one-dimensional time-dependent density-functional theory (TDDFT) model. Photoelectron spectra are computed with the time-dependent surface-flux (t-SURFF) method. In addition to the expected above-threshold ionization (ATI) comb, we observe peaks that arise from long-lived plasmon oscillations and the associated electron emission occurring after the laser pulse. We further analyze the positions of these peaks and their scaling behavi…

Existence and stability of Sadovskii vortices: from vortex patches to regular vorticity
Kyudong Choi, Young-Jin Sim, Kwan Woo
https://arxiv.org/abs/2507.00910

Existence and stability of Sadovskii vortices: from vortex patches to regular vorticity
We consider traveling wave solutions of the 2D incompressible Euler equations, taking the form of a counter-rotating dipole that touches the symmetry axis. We refer to such solutions as Sadovskii vortices, in honor of the contribution of Sadovskii [J. Appl. Math. Mech., 1971]. It is often used to understand how stable flow can arise even in strongly interacting singular configurations. Typical examples include the Sadovskii vortex patches and the Chaplygin-Lamb dipole. Our first result concerns…