Tootfinder

On the Particle Image Overlap in Single Camera Defocusing Approaches
Christian Sax, Jochen Kriegseis
https://arxiv.org/abs/2506.18170 https://

On the Particle Image Overlap in Single Camera Defocusing Approaches
Particle image (PI) overlap presents a significant challenge in single-camera particle tracking and sizing techniques such as Defocusing Particle Tracking Velocimetry (DPTV) and Interferometric Particle Imaging (IPI). In DPTV, overlap obscures PI boundaries, complicating the detection and accurate estimation of PI diameter and center position, which increases uncertainty in the reconstructed particle positions. In IPI, overlap reduces the usable area of the interference pattern, limiting the ac…

Estimating quantile treatments without strict overlap
Marco Avella-Medina, Richard Davis, Gennady Samorodnitsky
https://arxiv.org/abs/2506.18215 https://…

Estimating quantile treatments without strict overlap
We consider the problem of estimating quantile treatment effects without assuming strict overlap , i.e., we do not assume that the propensity score is bounded away from zero. More specifically, we consider an inverse probability weighting (IPW) approach for estimating quantiles in the potential outcomes framework and pay special attention to scenarios where the propensity scores can tend to zero as a regularly varying function. Our approach effectively considers a heavy-tailed objective functio…

Mazurka Rue du val Fleuri
23
Mazurka de Pierre Sacépé Jouée par Chanfois avec #Concertina et Basse aux Pieds
(Not many “foot bass” –concertina videos out there. But the overlap in players is probably higher than most unusual instruments)
https://

Series C, Episode 05 - The Harvest of Kairos
DAYNA: On interlock?
TARRANT: No, overlap. Ask Cally, she'll put you right.
VILA: Anything I should do?
https://blake.torpidity.net/m/305/239 B7B4

Spin-dependent Off-Axis Holography in Magnetic Environments
Nejc Blaznik, Dries van Oosten, Peter van der Straten
https://arxiv.org/abs/2507.17474 https://…

Spin-dependent Off-Axis Holography in Magnetic Environments
Nondestructive spin-resolved imaging of ultracold atomic gases requires calculating the differences of the refractive indices seen by two circular probe polarizations. Perfect overlap of the two images, corresponding to two different polarizations, is required well below the feature size of interest. In this paper, we demonstrate that the birefringence of atoms in magnetic field gradients results in polarization-dependent aberrations in the image, which deteriorates the overlap. To that end, we…

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
Miha O\v{z}bot, Igor \v{S}krjanc
https://arxiv.org/abs/2508.15444 https://

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
In this paper, we propose a new measure for detecting overlap in multivariate Gaussian clusters. The aim of online learning from data streams is to create clustering, classification, or regression models that can adapt over time based on the conceptual drift of streaming data. In the case of clustering, this can result in a large number of clusters that may overlap and should be merged. Commonly used distribution dissimilarity measures are not adequate for determining overlapping clusters in th…

Re-examining Super-Nyquist Frequencies of 68 $\delta$ Scuti Stars Utilizing the Kepler Long Cadence Photometry
Zilu Yang, Jianning Fu, Xuan Wang, Yanqi Mo, Weikai Zong
https://arxiv.org/abs/2507.18128 …

Re-examining Super-Nyquist Frequencies of 68 $δ$ Scuti Stars Utilizing the Kepler Long Cadence Photometry
The high-precision and long-duration photometry provided by the $Kepler$ mission has greatly advanced frequency analyses of a large number of pulsating stars, a fundamental step in asteroseismology. For $δ$ Scuti stars, analyses are typically confined to frequencies below the Nyquist frequency. However, signals above this limit can be reflected into the sub-Nyquist range, especially in long-cadence data, where they may overlap with genuine pulsation modes and lead to misinterpretation. To addr…

A unified spin-harmonic framework for correlating pulsar timing, astrometric deflection, and shimmering gravitational wave observations
Giorgio Mentasti, Carlo R. Contaldi
https://arxiv.org/abs/2507.16906

A unified spin-harmonic framework for correlating pulsar timing, astrometric deflection, and shimmering gravitational wave observations
We present a unified spin-weighted harmonic framework that delivers analytic, diagonal expressions for the overlap (correlation) functions of three low frequency gravitational wave observables-pulsar timing redshifts, astrometric deflections, and time-dependent image distortions (``shimmering''). Writing each response in spin-$s$ spherical harmonics and rotating to a basis in which the wave tensor has definite helicity, we obtain compact closed-form series for every auto- and cross-correlation,…

Hybrid Single-Pulse and Sawyer-Tower Method for Accurate Transistor Loss Separation in High-Frequency High-Efficiency Power Converters
Xiaoyang Tian, Mowei Lu, Florin Udrea, Stephan Goetz
https://arxiv.org/abs/2506.18635

Hybrid Single-Pulse and Sawyer-Tower Method for Accurate Transistor Loss Separation in High-Frequency High-Efficiency Power Converters
Accurate measurement of transistor parasitic capacitance and its associated energy losses is critical for evaluating device performance, particularly in high-frequency and high-efficiency power conversion systems. This paper proposes a hybrid single-pulse and Sawyer-Tower test method to analyse switching characteristics of field-effect transistors (FET), which not only eliminates overlap losses but also mitigates the effects of current backflow observed in traditional double-pulse testing. Thro…

C-DOG: Training-Free Multi-View Multi-Object Association in Dense Scenes Without Visual Feature via Connected {\delta}-Overlap Graphs
Yung-Hong Sun, Ting-Hung Lin, Jiangang Chen, Hongrui Jiang, Yu Hen Hu
https://arxiv.org/abs/2507.14095

C-DOG: Training-Free Multi-View Multi-Object Association in Dense Scenes Without Visual Feature via Connected δ-Overlap Graphs
Multi-view multi-object association is a fundamental step in 3D reconstruction pipelines, enabling consistent grouping of object instances across multiple camera views. Existing methods often rely on appearance features or geometric constraints such as epipolar consistency. However, these approaches can fail when objects are visually indistinguishable or observations are corrupted by noise. We propose C-DOG, a training-free framework that serves as an intermediate module bridging object detecti…

N=1 Supersymmetric QCD on the lattice using overlap fermions
Marios Costa, Eleni Ioannou, Haralambos Panagopoulos
https://arxiv.org/abs/2507.16651 https://…

N=1 Supersymmetric QCD on the lattice using overlap fermions
Using N=1 Supersymmetric QCD (SQCD) as a prototype model, this work presents a formulation of overlap quarks and gluinos on the lattice, with particular emphasis on the construction of chirally symmetric Yukawa terms. By incorporating the Ginsparg-Wilson relation, chiral transformations, and the Majorana condition for gluinos, we construct a consistent framework that preserves a lattice-modified chiral symmetry and reduces the number of required counterterms compared to Wilson-type discretizati…

AWR6843 focus stacked dataset at 100x stitching now.
11663 tiles, downsampled from 1992 x 1992 to 498 x 498. This should give a final resolution of 188 nm/pix, so we're still very slightly oversampled from the ~300nm theoretical optical resolution of the objective.
Raw dataset is 46.27 Gpix, down to 2.892 Gpix after downsampling. Given the 30% tile overlap we're probably looking at about a 1.4 Gpix final stitch.

Strong overlap of deterministic and stochastic dynamics in a super-diffusive regime
Muhammad Tayyab, Jahanzeb Tariq
https://arxiv.org/abs/2508.12091 https://

Strong overlap of deterministic and stochastic dynamics in a super-diffusive regime
We consider deterministic dynamics, known as the slicer map (SM), which exhibits normal and anomalous diffusion by varying a single parameter. The statistics of the position moments and the low-order position autocorrelation function (PACF) of the SM closely overlap with those of a stochastic process called the Lévy-Lorentz gas (LLg), particularly in the normal and strongly superdiffusive anomalous regimes. However, matching low-order statistics alone cannot fully characterize the microscopic …

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Hong Huang, Dongkuan Xu, Hao Zhang, Peng Gao
https://arxiv.org/abs/2506.14180

Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Egocentric pose estimation is a fundamental capability for multi-robot collaborative perception in connected autonomy, such as connected autonomous vehicles. During multi-robot operations, a robot needs to know the relative pose between itself and its teammates with respect to its own coordinates. However, different robots usually observe completely different views that contains similar objects, which leads to wrong pose estimation. In addition, it is unrealistic to allow robots to share their …

On the right, there is an “economic exploitation” faction whose goal is to get as close to slave labor as they can, and a racist faction whose goal is to be as cruel as possible to immigrants.
Those factions overlap, they align, some people gravitate to both — but they are not identical. They align •only• if the cruelty creates terrible labor conditions — not if the cruelty removes the labor entirely.
2/

Generalized Petermann factor of non-Hermitian systems at exceptional points
Julius Kullig, Jan Wiersig, Henning Schomerus
https://arxiv.org/abs/2506.15807 …

Generalized Petermann factor of non-Hermitian systems at exceptional points
The nonorthogonality of modes in open systems significantly modifies their resonant response, resulting in quantitative and qualitative deviations from Breit-Wigner resonance relations. For isolated resonances with a Lorentzian lineshape, the deviations amount to an enhancement of the resonance linewidth by the Petermann factor (PF), given by the overlap of left and right eigenmodes of the underlying effectively non-Hermitian Hamiltonian. The PF diverges at exceptional points (EPs), where reson…

The overlap of people trying to self-host authoritative DNS with nsd and integrate it with kubernetes via external-dns and cert-manager is extremely low.
#selfhosted #kubernetes #dns

Bjorken initial energy density estimation in Xe-Xe collisions at $\sqrt{s_{NN}} = 5.44$ TeV using ALICE
Mohammad Asif Bhat, Akankshya Nayak, P. K. Sahu
https://arxiv.org/abs/2508.08843

Bjorken initial energy density estimation in Xe-Xe collisions at $\sqrt{s_{NN}} = 5.44$ TeV using ALICE
The Bjorken initial energy density ($ε_{B}$) has been estimated in different centrality classes in Xe-Xe collisions using Bjorken formula. Three different cases have been considered. In Case I, we have fixed the formation time ($τ_{0}$) and varied the area of overlap region ($A_{overlap}$). In Case II, we have fixed both $τ_{0}$ and $A_{overlap}$ and we have varied both $τ_{0}$ and $A_{overlap}$ in Case III. We observed that the $ε_{B}$ is first increasing and then decreasing while going f…

Quantum state engineering of maximally entangled photon pairs by path identity
Richard Bernecker, Baghdasar Baghdasaryan, Stephan Fritzsche
https://arxiv.org/abs/2508.13638 http…

Quantum state engineering of maximally entangled photon pairs by path identity
Cutting-edge quantum technologies lean on sources of high-dimensional entangled states (HDES) that reliably prepare high-fidelity target states. The idea to overlap photon paths from distinct but indistinguishable sources was recently introduced for the creation of HDES, known as entanglement by path identity. In this regard, the use of orbital angular momentum (OAM) modes is promising, as they offer a high-dimensional and discrete Hilbert space to encode information. While entanglement by path…

This is a really well thought-out survey on redesigns for an updated autistic pride flag! I believe it's open to everyone but obviously the input of autistic and neurodivergent people is especially significant. (I also like this survey because it takes the possible overlap with the Metis flag seriously)
Symbols matter, so consider contributing!
#autism

Autistic pride flag survey round 2!
In this survey, I'm going to ask you to rate 13 flag designs that have been proposed as autistic pride flags. You will get to see the results of the survey upon submitting. No questions are mandatory so if you run out of steam feel free to submit a partial response. You may edit your response after submitting but you will need to save the special URL google will provide you in order to do so. When you hit submit, right click "edit your response" and save that URL into a text file or somewher…

Shared and diverging neural dynamics underlying false and veridical perception https://www.jneurosci.org/content/early/2025/06/04/JNEUROSCI.1479-24.2025 Now let's "mistake" meaningful noise as meaningful images through enhanced reliance…

Shared and diverging neural dynamics underlying false and veridical perception
We often mistake visual noise for meaningful images, which sometimes appear as convincing as veridical percepts. This suggests considerable overlap between the mechanisms that underlie false and veridical perception. Yet, false percepts must arise at least in part from internally generated signals. Here, we apply multivariate analyses to human MEG data to study the overlap between veridical and false perception across two aspects of perceptual inference: discrimination of content (what did I se…

Multi-perspective monitoring of wildlife and human activities from camera traps and drones with deep learning models
Hao Chen, Fang Qiu, Li An, Douglas Stow, Eve Bohnett, Haitao Lyu, Shuang Tian
https://arxiv.org/abs/2508.15629

Multi-perspective monitoring of wildlife and human activities from camera traps and drones with deep learning models
Wildlife and human activities are key components of landscape systems. Understanding their spatial distribution is essential for evaluating human wildlife interactions and informing effective conservation planning. Multiperspective monitoring of wildlife and human activities by combining camera traps and drone imagery. Capturing the spatial patterns of their distributions, which allows the identification of the overlap of their activity zones and the assessment of the degree of human wildlife c…

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach
Parham Soltani, Mehrshad Eskandarpour, Sina Heidari, Farnaz Alizadeh, Hossein Soleimani
https://arxiv.org/abs/2508.14676

Adaptive Vision-Based Coverage Optimization in Mobile Wireless Sensor Networks: A Multi-Agent Deep Reinforcement Learning Approach
Traditional Wireless Sensor Networks (WSNs) typically rely on pre-analysis of the target area, network size, and sensor coverage to determine initial deployment. This often results in significant overlap to ensure continued network operation despite sensor energy depletion. With the emergence of Mobile Wireless Sensor Networks (MWSNs), issues such as sensor failure and static coverage limitations can be more effectively addressed through mobility. This paper proposes a novel deployment strategy…

Quantum algebra approach to univariate and multivariate rational functions of $q$-Racah type
Wolter Groenevelt, Carel Wagenaar
https://arxiv.org/abs/2507.13483

Quantum algebra approach to univariate and multivariate rational functions of $q$-Racah type
In this paper, we study rational functions of $q$-Racah type and a multivariate extension, using representation theory of $\mathcal U_q(\mathfrak{sl}_2)$. Eigenfunctions of twisted primitive elements in $\mathcal U_q(\mathfrak{su}_2)$ can be expressed in terms of $q^{-1}$-Krawtchouk polynomials. Using this, we show that overlap coefficients of solutions of a generalized eigenvalue problem (GEVP) and an eigenvalue problem (EVP) can be expressed in terms of a rational function of $_4φ_3$-type. W…

KPop Demon Hunters
very fun! So much overlap with Turning Red and Gentry Chou IMHO.
#movies

Hakeem Jeffries,
when asked if he's endorsed Zohran Mamdani,
says "No... We don't really know each other well. Our districts don't really overlap."
https://bsky.app/profile/kenklippenstein.bsky.social/post/3lsrb3jns6c2o

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
Prateek Ranka, Fred Morstatter, Andrea Belz, Alexandra Graddy-Reed
https://arxiv.org/abs/2508.13182

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
Classification of scientific abstracts is useful for strategic activities but challenging to automate because the sparse text provides few contextual clues. Metadata associated with the scientific publication can be used to improve performance but still often requires a semi-supervised setting. Moreover, such schemes may generate labels that lack distinction -- namely, they overlap and thus do not uniquely define the abstract. In contrast, experts label and sort these texts with ease. Here we d…

Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities
Franz Okyere, Meng Lu, Ansgar Brunn
https://arxiv.org/abs/2508.12872

Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities
While informal settlements lack focused development and are highly dynamic, the quality of spatial data for these places may be uncertain. This study evaluates the quality and biases of AI-generated Open Building Datasets (OBDs) generated by Google and Microsoft against OpenStreetMap (OSM) data, across diverse global cities including Accra, Nairobi, Caracas, Berlin, and Houston. The Intersection over Union (IoU), overlap analysis and a positional accuracy algorithm are used to analyse the simil…

Interpolations for a quantum Parisi formula in transverse field mean-field spin glass models
C. Itoi, K. Fujiwara, Y. Sakamoto
https://arxiv.org/abs/2506.09419

Interpolations for a quantum Parisi formula in transverse field mean-field spin glass models
A quantum Parisi formula for the transverse field Sherrington-Kirkpatrick (SK) model is proven with an elementary mathematical method. First, a self-overlap corrected quantum model of the transverse field SK model is represented in terms of the Hamiltonian with annealed random interactions. The interpolation given by Guerra and Toninelli is extended to the self-overlap corrected quantum model. It is proven that the infinite-volume limit of the free energy density exists in the operator formalis…

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan
https://arxiv.org/abs/2507.03114

Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
This paper provides an in-depth characterization of GPU-accelerated systems, to understand the interplay between overlapping computation and communication which is commonly employed in distributed training settings. Due to the large size of models, distributing them across multiple devices is required. Overlapping strategies, which enable concurrent computation and communication, are critical for mitigating communication bottlenecks and maximizing GPU utilization. However, the current consensus…

Real-World Summarization: When Evaluation Reaches Its Limits
Patr\'icia Schmidtov\'a, Ond\v{r}ej Du\v{s}ek, Saad Mahamood
https://arxiv.org/abs/2507.11508

Real-World Summarization: When Evaluation Reaches Its Limits
We examine evaluation of faithfulness to input data in the context of hotel highlights: brief LLM-generated summaries that capture unique features of accommodations. Through human evaluation campaigns involving categorical error assessment and span-level annotation, we compare traditional metrics, trainable methods, and LLM-as-a-judge approaches. Our findings reveal that simpler metrics like word overlap correlate surprisingly well with human judgments (Spearman correlation rank of 0.63), often…

Higher Structures on Boundary Conformal Manifolds: Higher Berry Phase and Boundary Conformal Field Theory
Yichul Choi, Hyunsoo Ha, Dongyeob Kim, Yuya Kusuki, Shuhei Ohyama, Shinsei Ryu
https://arxiv.org/abs/2507.12525

Higher Structures on Boundary Conformal Manifolds: Higher Berry Phase and Boundary Conformal Field Theory
We introduce the notion of higher Berry connection and curvature in the space of conformal boundary conditions in (1+1)d conformal field theories (CFT), related to each other by exactly marginal boundary deformations, forming a "boundary conformal manifold." Our definition builds upon previous works on tensor networks, such as matrix product states (MPS), where the triple inner product or multi-wavefunction overlap plays the key geometric role. On the one hand, our boundary conformal field theo…

Anyone having issues with Tor for the past few days?
It seems one of the Snowflake bridge is down (but should not impact obfs4):
https://gitlab.torproject.org/tpo/anti-censorship/pluggable-transports/snowflake/-/issues/40475…

Disentangling coincident cell events using deep transfer learning and compressive sensing
Moritz Leuthner, Rafael Vorl\"ander, Oliver Hayden
https://arxiv.org/abs/2507.13176 …

Disentangling coincident cell events using deep transfer learning and compressive sensing
Accurate single-cell analysis is critical for diagnostics, immunomonitoring, and cell therapy, but coincident events - where multiple cells overlap in a sensing zone - can severely compromise signal fidelity. We present a hybrid framework combining a fully convolutional neural network (FCN) with compressive sensing (CS) to disentangle such overlapping events in one-dimensional sensor data. The FCN, trained on bead-derived datasets, accurately estimates coincident event counts and generalizes to…

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
Ling Wang
https://arxiv.org/abs/2506.06728 https://

Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
Dynamic graph learning (DGL) aims to learn informative and temporally-evolving node embeddings to support downstream tasks such as link prediction. A fundamental challenge in DGL lies in effectively modeling both the temporal dynamics and structural dependencies of evolving graph topologies. Recent advances in Dynamic Graph Neural Networks (DGNNs) have obtained remarkable success by leveraging message-passing mechanisms to capture pairwise node interactions. However, these approaches often over…

Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Shota Horiguchi, Takanori Ashihara, Marc Delcroix, Atsushi Ando, Naohiro Tawara
https://arxiv.org/abs/2506.12500

Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Obtaining high-quality speaker embeddings in multi-speaker conditions is crucial for many applications. A recently proposed guided speaker embedding framework, which utilizes speech activities of target and non-target speakers as clues, drastically improved embeddings under severe overlap with small degradation in low-overlap cases. However, since extreme overlaps are rare in natural conversations, this degradation cannot be overlooked. This paper first reveals that the degradation is caused by…

Interference between non-overlapping waves
Alan C. Santos, Celso J. Villas-Boas
https://arxiv.org/abs/2508.10622 https://arxiv.org/pdf/2508.10622

Interference between non-overlapping waves
In classical mechanics and electromagnetism, interference occurs when two or more waves overlap at the same point in spacetime. However, the advent of quantum electrodynamics (QED) and its remarkable success in describing light-matter interactions at the microscopic level invites us to reconsider whether interference-like effects could arise even when the waves do not physically overlap. In this work, we extend the notion of wave interference to a novel and unconventional regime. Building upon …

Dynamic Optimal Transport with optimal star shaped graphs
Marcello Carioni, Juliane Krautz, Jan-F. Pietschmann
https://arxiv.org/abs/2506.15007 https://

Dynamic Optimal Transport with optimal star shaped graphs
We study an optimal transport problem in a compact convex set $Ω\subset\mathbb{R}^d$ where bulk transport is coupled to dynamic optimal transport on a metric graph $ \mathsf{G} = (\mathsf{V},\mathsf{E})$ which is embedded in $Ω$. We prove existence of solutions for fixed graphs. Next, we consider varying graphs, yet only for the case of star-shaped ones. Here, the action functional is augmented by an additional penalty that prevents the edges of the graph to overlap. This allows to preserve t…

Lensing without mass: The matter density profile in cosmic voids from UNIONS
Hunter L. Martin, Michael J. Hudson, Alex Woodfinden, Lucie Baumont, Thomas de Boer, Pierre A. Burger, Jack Elvin-Poole, S\'ebastien Fabbro, Samuel Farrens, Sacha Guerrini, Axel Guinot, Fabian Hervas-Peters, Hendrik Hildebrandt, Martin Kilbinger, Ludovic van Waerbeke, Anna Wittje

Lensing without mass: The matter density profile in cosmic voids from UNIONS
We measure the distribution of matter contained within the emptiest regions of the Universe: cosmic voids. We use the large overlap between the Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) and voids identified in the LOWZ and CMASS catalogues of the Baryon Oscillation Spectroscopic Survey (BOSS) to constrain the excess surface mass density of voids using weak lensing. We present and validate a novel method for computing the Gaussian component of the conventional weak lensing covar…

Assessing the Impact of Covariate Distribution and Positivity Violation on Weighting-Based Indirect Comparisons: a Simulation Study
Arnaud Serret-Larmande, J\'er\^ome Lambert, St\'ephane Gaudry, David Hajage
https://arxiv.org/abs/2507.12241

Assessing the Impact of Covariate Distribution and Positivity Violation on Weighting-Based Indirect Comparisons: a Simulation Study
Population-Adjusted Indirect Comparisons (PAICs) are used to estimate treatment effects when direct comparisons are infeasible and individual patient data (IPD) are only available for one trial. Among PAIC methods, Matching-Adjusted Indirect Comparison (MAIC) is the most widely used. However, little is known about how MAIC performs under challenging conditions such as limited covariate overlap or markedly non-normal covariate distributions. We conducted a Monte Carlo simulation study comparin…

Quantitative Edge Eigenvector Universality for Random Regular Graphs: Berry-Esseen Bounds with Explicit Constants
Leonhard Nagel
https://arxiv.org/abs/2507.12502

Quantitative Edge Eigenvector Universality for Random Regular Graphs: Berry-Esseen Bounds with Explicit Constants
We establish the first quantitative Berry-Esseen bounds for edge eigenvector statistics in random regular graphs. For any $d$-regular graph on $N$ vertices with fixed $d \geq 3$ and deterministic unit vector $\mathbf{q} \perp \mathbf{e}$, we prove that the normalized overlap $\sqrt{N}\langle \mathbf{q}, \mathbf{u}_2 \rangle$ satisfies \[ \sup_{x \in \mathbb{R}} \left|\mathbb{P}\left(\sqrt{N}\langle \mathbf{q}, \mathbf{u}_2 \rangle \leq x\right) - Φ(x)\right| \leq C_d N^{-1/6+\varepsi…

Gaussian basis sets for all-electron excited-state calculations of large molecules and the condensed phase
R\'emi Pasquier, Maximilian Graml, Jan Wilhelm
https://arxiv.org/abs/2508.12884

Gaussian basis sets for all-electron excited-state calculations of large molecules and the condensed phase
We introduce a family of all-electron Gaussian basis sets, augmented MOLOPT, optimized for excited-state calculations on large molecules and crystals. We generate these basis sets by augmenting existing STO-3G, STO-6G, and MOLOPT basis sets optimizied for ground state energy calculations. The augmented MOLOPT basis sets achieve fast convergence of $GW$ gaps and Bethe-Salpeter excitation energies, while maintaining low condition numbers of the overlap matrix to ensure numerical stability. For $G…

@… Seems that there is considerable overlap between the two stages.

Relativistic and Dynamical Love
Abhishek Hegade K. R., K. J. Kwon, Tejaswi Venumadhav, Hang Yu, Nicol\'as Yunes
https://arxiv.org/abs/2507.10693 https:…

Relativistic and Dynamical Love
Gravitational waves emitted in the late inspiral of binary neutron stars are affected by their tidal deformation. We study the tidal dynamics in full general relativity through matched-asymptotic expansions and prove that the dynamical tidal response can be expanded in a complete set of modes. We further prove that the mode amplitudes satisfy an effective, forced harmonic oscillator equation, which generalizes the overlap-integral formulation of Newtonian gravity. Our relativistic treatment of …

@… @… I’ve been wondering about the overlap with bias in unearned credibility — specifically in how different folks experience the consequences of being wrong.
my hunch is that folks already set up to “fail upwards” are having a gre…

Overlap Gap and Computational Thresholds in the Square Wave Perceptron
Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc M\'ezard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
https://arxiv.org/abs/2506.05197

Overlap Gap and Computational Thresholds in the Square Wave Perceptron
Square Wave Perceptrons (SWPs) form a class of neural network models with oscillating activation function that exhibit intriguing ``hardness'' properties in the high-dimensional limit at a fixed signal-to-noise ratio $α= O(1)$. In this work, we examine two key aspects of these models. The first is related to the so-called overlap-gap property, that is a disconnectivity feature of the geometry of the solution space of combinatorial optimization problems proven to cause the failure of a large fa…

Nominal Evaluation Of Automatic Multi-Sections Control Potential In Comparison To A Simpler One- Or Two-Sections Alternative With Predictive Spray Switching
Mogens Plessen
https://arxiv.org/abs/2508.11573

Nominal Evaluation Of Automatic Multi-Sections Control Potential In Comparison To A Simpler One- Or Two-Sections Alternative With Predictive Spray Switching
Automatic Section Control (ASC) is a long-standing trend for spraying in agriculture. It promises to minimise spray overlap areas. The core idea is to (i) switch off spray nozzles on areas that have already been sprayed, and (ii) to dynamically adjust nozzle flow rates along the boom bar that holds the spray nozzles when velocities of boom sections vary during turn maneuvers. ASC is not possible without sensors, in particular for accurate positioning data. Spraying and the movement of modern wi…

Report finds extensive overlap between colleges and public media outlets: 59% of public media orgs provide regular opportunities for college students (Sophie Culpepper/Nieman Lab)
https://www.niemanlab.org/2025/06/a-new-re

I've sent out a funding application to OSFF for Intel ME tooling.
🥳
I had started an Intel ME file system parser for recent and current versions:
https://github.com/fiedka/me_fs_rs 👈🧐
Then I realized how much overlap there is between this, MEAnalyzer, the long unmaintained me_clean…

GitHub - fiedka/me_fs_rs: Intel ME filesystem parser written in Rust :crab:
Intel ME filesystem parser written in Rust :crab:. Contribute to fiedka/me_fs_rs development by creating an account on GitHub.

Thermalization from quantum entanglement: jet simulations in the massive Schwinger model
Adrien Florio, David Frenklakh, Sebastian Grieninger, Dmitri E. Kharzeev, Andrea Palermo, Shuzhe Shi
https://arxiv.org/abs/2506.14983

Thermalization from quantum entanglement: jet simulations in the massive Schwinger model
We investigate the emergence of thermalization in a quantum field-theoretic model mimicking the production of jets in QCD -- the massive Schwinger model coupled to external sources. Specifically, we compute the expectation values of local operators as functions of time and compare them to their thermal counterparts, quantify the overlap between the evolving density matrix and the thermal one, and compare the dynamics of the energy-momentum tensor to predictions from relativistic hydrodynamics. …

When the number of vulnerable IPs ticks up by a small number, I'm assuming they're honeypots?
(Graph is vulnerable Citrix NetScaler endpoints in the UK.)

Our power—and with it, our water—dropped out at about 6:30am, and it appears we’re in the overlap of two separate outages. It should be back up in three hours or thereabouts, but until then, my mobility-challenged wife’s stuck in her electric recliner until she can retract the footrest. 🤦🏻‍♂️

Artificial Intelligence-Based Classification of Spitz Tumors
Ruben T. Lucassen, Marjanna Romers, Chiel F. Ebbelaar, Aia N. Najem, Donal P. Hayes, Antien L. Mooyaart, Sara Roshani, Liliane C. D. Wynaendts, Nikolas Stathonikos, Gerben E. Breimer, Anne M. L. Jansen, Mitko Veta, Willeke A. M. Blokx
https://arxiv.org/abs/2508.05391

Artificial Intelligence-Based Classification of Spitz Tumors
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent AI models, using histological and/or clinical features, can: (1) distinguish Spitz tumors from conventional melanomas; (2) predict the underlying genetic aberration of Spitz tumors; and (3) predict the diagnostic category of Spitz tumors. The AI models were developed and validated using a dataset of 393 Spitz tumors and 379 conventional melanom…

A tunable Monte Carlo method for mixing correlated-k opacities. PRAS: polynomial reconstruction and sampling
Elspeth K. H. Lee
https://arxiv.org/abs/2508.07072 https://

A tunable Monte Carlo method for mixing correlated-k opacities. PRAS: polynomial reconstruction and sampling
Accurately accounting for mixed-gas opacities is critical for radiative-transfer (RT) calculations in sub-stellar atmospheres. To produce the total k-coefficients of an arbitrary mixture of gases and their associated volume mixing ratios (VMRs), several methods are applied in the literature with various levels of overall accuracy and ease of computation. We propose a simple, tunable random overlap method, polynomial reconstruction and sampling (PRAS). PRAS is a Monte Carlo-based technique, samp…

Electron-magnon coupling at the interface of a "twin-twisted" antiferromagnet
Yue Sun, Fanhao Meng, Sijia Ke, Kun Xu, Hongrui Zhang, Aljoscha Soll, Zden\v{e}k Sofer, Arun Majumdar, Ramamoorthy Ramesh, Jeffrey B. Neaton, Jie Yao, Joseph Orenstein
https://arxiv.org/abs/2506.10080…

Electron-magnon coupling at the interface of a "twin-twisted" antiferromagnet
We identify a "twin-twist" angle in orthorhombic two-dimensional magnets that maximizes interlayer orbital overlap and enables strong interfacial coupling. Focusing on the van der Waals antiferromagnet CrSBr, we show that this twist angle, near 72 deg, aligns diagonal lattice vectors across the layers, enhancing the interlayer hopping that is spin-forbidden in pristine systems and orbital-forbidden in 90-deg-twisted samples. The enhanced hopping modifies the electronic structure and activates a…

Constraint Optimized Multichannel Mixer-limiter Design
Yuancheng Luo, Dmitriy Yamkovoy, Guillermo Garcia
https://arxiv.org/abs/2507.06769 https://

Constraint Optimized Multichannel Mixer-limiter Design
Multichannel audio mixer and limiter designs are conventionally decoupled for content reproduction over loudspeaker arrays due to high computational complexity and run-time costs. We propose a coupled mixer-limiter-envelope design formulated as an efficient linear-constrained quadratic program that minimizes a distortion objective over multichannel gain variables subject to sample mixture constraints. Novel methods for asymmetric constant overlap-add window optimization, objective function appr…

URSA: The Universal Research and Scientific Agent
Michael Grosskopf, Russell Bent, Rahul Somasundaram, Isaac Michaud, Arthur Lui, Nathan Debardeleben, Earl Lawrence
https://arxiv.org/abs/2506.22653

URSA: The Universal Research and Scientific Agent
Large language models (LLMs) have moved far beyond their initial form as simple chatbots, now carrying out complex reasoning, planning, writing, coding, and research tasks. These skills overlap significantly with those that human scientists use day-to-day to solve complex problems that drive the cutting edge of research. Using LLMs in "agentic" AI has the potential to revolutionize modern science and remove bottlenecks to progress. In this work, we present URSA, a scientific agent ecosystem for…

Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales
Kyle J. C. Hall, Maria J. Molina, Emily F. Wisinski, Gerald A. Meehl, Antonietta Capotondi
https://arxiv.org/abs/2508.08490

Knowledge-guided machine learning for disentangling Pacific sea surface temperature variability across timescales
Global weather patterns and regimes are heavily influenced by the dominant modes of Pacific sea surface temperature (SST) variability, including the El Niño-Southern Oscillation (ENSO), Tropical Pacific Decadal Variability (TPDV), North Pacific Meridional Mode (NPMM), and the Pacific Decadal Oscillation (PDO). However, separating these modes of variability remains challenging due to their spatial overlap and possible nonlinear coupling, which violates the assumptions of traditional linear meth…

Fragility in Average Treatment Effect on the Treated under Limited Covariate Support
Mengqi Li
https://arxiv.org/abs/2506.08950 https://

Fragility in Average Treatment Effect on the Treated under Limited Covariate Support
This paper studies the identification of the average treatment effect on the treated (ATT) under unconfoundedness when covariate overlap is partial. A formal diagnostic is proposed to characterize empirical support -- the subset of the covariate space where ATT is point-identified due to the presence of comparable untreated units. Where support is absent, standard estimators remain computable but cease to identify meaningful causal parameters. A general sensitivity framework is developed, index…

Axiomatic characterizations of dissimilarity orderings and distances between sets
Thierry Marchant, Sandip Sarkar
https://arxiv.org/abs/2507.05919 https://…

Axiomatic characterizations of dissimilarity orderings and distances between sets
We characterize the orderings of pairs of sets induced by several distances: Hamming, Jaccard, Sørensen-Dice and Overlap. We also characterize these distances.

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Daniya Najiha Abdul Kareem, Abdul Hannan, Mubashir Noman, Jean Lahoud, Mustansar Fiaz, Hisham Cholakkal
https://arxiv.org/abs/2506.12208

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Accurate microscopic medical image segmentation plays a crucial role in diagnosing various cancerous cells and identifying tumors. Driven by advancements in deep learning, convolutional neural networks (CNNs) and transformer-based models have been extensively studied to enhance receptive fields and improve medical image segmentation task. However, they often struggle to capture complex cellular and tissue structures in challenging scenarios such as background clutter and object overlap. Moreove…

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
Yang Cai, Alkis Kalavasis, Katerina Mamali, Anay Mehrotra, Manolis Zampetakis
https://arxiv.org/abs/2506.04194

What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
Most of the widely used estimators of the average treatment effect (ATE) in causal inference rely on the assumptions of unconfoundedness and overlap. Unconfoundedness requires that the observed covariates account for all correlations between the outcome and treatment. Overlap requires the existence of randomness in treatment decisions for all individuals. Nevertheless, many types of studies frequently violate unconfoundedness or overlap, for instance, observational studies with deterministic tr…

LLM-Based Config Synthesis requires Disambiguation
Rajdeep Mondal, Nikolaj Bjorner, Todd Millstein, Alan Tang, George Varghese
https://arxiv.org/abs/2507.12443

LLM-Based Config Synthesis requires Disambiguation
Beyond hallucinations, another problem in program synthesis using LLMs is ambiguity in user intent. We illustrate the ambiguity problem in a networking context for LLM-based incremental configuration synthesis of route-maps and ACLs. These structures frequently overlap in header space, making the relative priority of actions impossible for the LLM to infer without user interaction. Measurements in a large cloud identify complex ACLs with 100's of overlaps, showing ambiguity is a real problem. W…

TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search
Harsha Kokel, Aamod Khatiwada, Tejaswini Pedapati, Haritha Ananthakrishnan, Oktie Hassanzadeh, Horst Samulowitz, Kavitha Srinivas
https://arxiv.org/abs/2507.11505

TOPJoin: A Context-Aware Multi-Criteria Approach for Joinable Column Search
One of the major challenges in enterprise data analysis is the task of finding joinable tables that are conceptually related and provide meaningful insights. Traditionally, joinable tables have been discovered through a search for similar columns, where two columns are considered similar syntactically if there is a set overlap or they are considered similar semantically if either the column embeddings or value embeddings are closer in the embedding space. However, for enterprise data lakes, col…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/4]:
- Benchmarking LLMs on the Semantic Overlap Summarization Task
John Salvador, Naman Bansal, Mousumi Akter, Souvika Sarkar, Anupam Das, Shubhra Kanti Karmaker

Dynamical mass distribution and velocity structure of the Galactic centre
A. Feldmeier-Krause, T. Ver\v{s}i\v{c}, G. van de Ven, E. Gallego-Cano, N. Neumayer
https://arxiv.org/abs/2506.06014

Dynamical mass distribution and velocity structure of the Galactic centre
The inner ~200 pc region of the Milky Way contains a nuclear stellar disc and a nuclear star cluster that are embedded in the larger Galactic bar. These stellar systems overlap spatially, which makes it challenging to separate stars that belong to the nuclear stellar systems, to deduce their internal dynamics, and to derive the central Galactic potential. Discrete stellar kinematics probe the mass distribution of a stellar system, and chemical tracers such as stellar metallicity can further sep…

A Linear Generative Framework for Structure-Function Coupling in the Human Brain
Sam Frank Kelemen, Joaqu\'in G\~oni, S\'ergio Pequito, Arian Ashourvan
https://arxiv.org/abs/2507.06136

A Linear Generative Framework for Structure-Function Coupling in the Human Brain
Brain function emerges from coordinated activity across anatomically connected regions, where structural connectivity (SC) -- the network of white matter pathways - provides the physical substrate for functional connectivity (FC) -- the correlated neural activity between brain areas. While these structural and functional networks exhibit substantial overlap, their relationship involves complex, indirect mechanisms, including the dynamic interplay of direct and indirect pathways, recurrent netwo…

Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Models
Guan-Ting Lin, Shih-Yun Shan Kuan, Qirui Wang, Jiachen Lian, Tingle Li, Hung-yi Lee
https://arxiv.org/abs/2507.23159

Full-Duplex-Bench v1.5: Evaluating Overlap Handling for Full-Duplex Speech Models
While full-duplex speech agents promise natural, low-latency human--machine interaction by concurrently processing input and output speech, overlap management remains under-evaluated. We introduce Full-Duplex-Bench v1.5, a modular, fully automated benchmark that simulates four overlap scenarios: user interruption, listener backchannel, side conversation, and ambient speech. Our framework supports both open-sourced and commercial models, offering a comprehensive, extensible metric suite -- categ…

This https://arxiv.org/abs/2503.06474 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

ROGRAG: A Robustly Optimized GraphRAG Framework
Large language models (LLMs) commonly struggle with specialized or emerging topics which are rarely seen in the training corpus. Graph-based retrieval-augmented generation (GraphRAG) addresses this by structuring domain knowledge as a graph for dynamic retrieval. However, existing pipelines involve complex engineering workflows, making it difficult to isolate the impact of individual components. It is also challenging to evaluate the retrieval effectiveness due to the overlap between the pretra…

Box-Covariances of Hyperuniform Point Processes
Jonas Jalowy, Hanna Stange
https://arxiv.org/abs/2506.13661 https://arxiv.org/pdf/250…

Box-Covariances of Hyperuniform Point Processes
In this work, we present a complete characterization of the covariance structure of number statistics in boxes for hyperuniform point processes. Under a standard integrability assumption, the covariance depends solely on the overlap of the faces of the box. Beyond this assumption, a novel interpolating covariance structure emerges. This enables us to identify a limiting Gaussian 'coarse-grained' process, counting the number of points in large boxes as a function of the box position. Depending o…

Large, fast and accurate HI intensity maps with latent overlap diffusion
Satvik Mishra, Roberto Trotta, Matteo Viel
https://arxiv.org/abs/2506.08086 https:…

Large, fast and accurate HI intensity maps with latent overlap diffusion
The distribution of 21 cm emission from neutral hydrogen is a powerful cosmological and astrophysical probe, as it traces the underlying dark matter and cold gas distributions throughout cosmic times. However, the prediction of observable signals is hindered by the large computational costs of the required hydrodynamic simulations. We introduce a novel machine learning pipeline that, once trained on a hydrodynamical simulation, is able to generate both halo mass density maps and the three-dimen…

Hilbert subspace imprint: a new mechanism for non-thermalization
Hui Yu, Jiangping Hu, Shi-Xin Zhang
https://arxiv.org/abs/2506.11922 https://

Hilbert subspace imprint: a new mechanism for non-thermalization
The search for non-ergodic mechanisms in quantum many-body systems has become a frontier area of research in non-equilibrium physics. In this Letter, we introduce Hilbert subspace imprint (HSI)-a novel mechanism that enables evasion of thermalization and bridges the gap between quantum many-body scars (QMBS) and Hilbert space fragmentation (HSF). HSI manifests when initial states overlap exclusively with a polynomial scaling (with system size) set of eigenstates. We demonstrate this phenomenon …

Coordinate-independent model reductions of chemical reaction networks based on geometric singular perturbation theory
Timothy Earl Figueroa Lapuz, Martin Wechselberger
https://arxiv.org/abs/2508.03304 …

Coordinate-independent model reductions of chemical reaction networks based on geometric singular perturbation theory
The quasi-steady-state approximation (QSSA) is a standard technique for reducing the complexity of chemical reaction networks (CRNs). The validity of any QSSA-based model is restricted to specific parameter regimes, which often overlap, meaning multiple different reduced models can be simultaneously valid. This ambiguity complicates unnecessarily the analysis, as selecting the appropriate reduction is not always straightforward. Here, we employ a more powerful alternative: coordinate-independ…

This https://arxiv.org/abs/2506.05197 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Overlap Gap and Computational Thresholds in the Square Wave Perceptron
Square Wave Perceptrons (SWPs) form a class of neural network models with oscillating activation function that exhibit intriguing ``hardness'' properties in the high-dimensional limit at a fixed signal-to-noise ratio $α= O(1)$. In this work, we examine two key aspects of these models. The first is related to the so-called overlap-gap property, that is a disconnectivity feature of the geometry of the solution space of combinatorial optimization problems proven to cause the failure of a large fa…

Topology optimization of actively moving rigid bodies in unsteady flows
Yuta Tanabe, Kentaro Yaji, Kuniharu Ushijima
https://arxiv.org/abs/2506.23895 https…

Topology optimization of actively moving rigid bodies in unsteady flows
This study proposes a novel topology optimization method for unsteady fluid flows induced by actively moving rigid bodies. The key idea of the proposed method is to decouple the design and analysis domains by using separate grids. The design grid undergoes rigid body motion and is then overlapped onto the analysis grid. After the overlap, key quantities such as the Brinkman coefficient are transferred between the grids. This approach provides a direct and efficient means of representing object …

Is the theory here is that if you let a child know that a particular other kind of person exists, even if there is no overlap between what defines that kind of person and religion, even if that kind of person is statistically likely to be the same religion as the child, then somehow that teaches the child a different religion?!?!?

This https://arxiv.org/abs/2506.03296 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

Parallel CPU-GPU Execution for LLM Inference on Constrained GPUs
Deploying large language models (LLMs) for online inference is often constrained by limited GPU memory, particularly due to the growing KV cache during auto-regressive decoding. Hybrid GPU-CPU execution has emerged as a promising solution by offloading KV cache management and parts of attention computation to the CPU. However, a key bottleneck remains: existing schedulers fail to effectively overlap CPU-offloaded tasks with GPU execution during the latency-critical, bandwidth-bound decode phase…

Sample Variance Denoising in Cylindrical 21-cm Power Spectra
Daniela Breitman, Andrei Mesinger, Steven G. Murray, Anshuman Acharya
https://arxiv.org/abs/2507.12545

Sample Variance Denoising in Cylindrical 21-cm Power Spectra
State-of-the-art simulations of reionisation-era 21-cm signal have limited volumes, generally orders of magnitude smaller than observations. Consequently, the Fourier modes in common between simulation and observation have limited overlap, especially in cylindrical (2D) k-space that is natural for 21-cm interferometry. This makes sample variance (i.e. the deviation of the simulated sample from the population mean due to finite box size) a potential issue when interpreting upcoming 21-cm observa…

Deciding Whether a C-Q Channel Preserves a Bit is QCMA-Complete
Kiera Hutton, Arthur Mehta, Andrej Vukovic
https://arxiv.org/abs/2508.10664 https://arxiv.o…

Deciding Whether a C-Q Channel Preserves a Bit is QCMA-Complete
We prove that deciding whether a classical-quantum (C-Q) channel can exactly preserve a single classical bit is QCMA-complete. This "bit-preservation" problem is a special case of orthogonality-constrained optimization tasks over C-Q channels, in which one seeks orthogonal input states whose outputs have small or large Hilbert-Schmidt overlap after passing through the channel. Both problems can be cast as biquadratic optimization with orthogonality constraints. Our main technical contribution u…

Self-supervised learning of speech representations with Dutch archival data
Nik Vaessen, David A. van Leeuwen, Roeland Ordelman
https://arxiv.org/abs/2507.04554

Self-supervised learning of speech representations with Dutch archival data
This paper explores the use of Dutch archival television broadcast data for self-supervised learning of speech foundation models, specifically wav2vec 2.0. We first study data quality assumptions for pre-training, and show how music, noise and speaker overlap affect SSL convergence and downstream fine-tuning performance. Secondly, we explore effectively pre-processing strategies to convert the noisy broadcast dataset into a qualitative dataset for pre-training, by using Whisper and WhisperX., T…

This https://arxiv.org/abs/2503.04791 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Development and Benchmarking of JANGOFETT: A Novel Geant4-Operated Fission Event Tracking Tool
Experiments measuring fission observables encounter false coincidences arising from timing overlap of separate fission product decays. Simulations of both fission observables and particles in detector systems exist, but have not yet been combined to produce accurate event-by-event outputs in a time-dependent manner. Geant4 is a powerful simulation tool for nuclear physics studies, but it does not handle multiple initial particles in a single simulation instance, nor does it feature high fidelit…

Response Theory for Static and Dynamic Solvation of Ionic and Dipolar Solutes in Water
Renjie Zhao, Richard C. Remsing, John D. Weeks
https://arxiv.org/abs/2508.06737 https://…

Response Theory for Static and Dynamic Solvation of Ionic and Dipolar Solutes in Water
The response of polar solvents to ions and polar molecules dictates many fundamental molecular processes. To understand such electrostatically-driven solvation processes, one ideally would probe the dielectric response of a solvent to an idealized point test charge or dipole solute, as envisioned in classic continuum treatments of the problem. However, this is difficult in simulations using standard atomically-detailed solvent models with embedded point charges due to possible overlap with the …

Neutrino fog in the light dark sector: the role of isospin violation
V\'ictor Mart\'in Lozano, Shankar Pramanik, Soumya Sadhukhan, Adri\'an Terrones
https://arxiv.org/abs/2508.05787

Neutrino fog in the light dark sector: the role of isospin violation
Dark matter (DM) direct detection is now standing at an interesting juncture, where the Standard Model (SM) neutrino background and the upper bound on the DM signal cross section are starting to overlap in the DM mass region around 10 GeV. The neutrino floor, which defines the extent of the neutrino background, can be modified in different Beyond Standard Model (BSM) setups. We work in a simple BSM dark sector extension of the SM visible sector, where isospin-violating interactions occur natura…

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis
Mengxi Xiao, Mang Ye, Ben Liu, Xiaofen Zong, He Li, Jimin Huang, Qianqian Xie, Min Peng
https://arxiv.org/abs/2506.03750

A Retrieval-Augmented Multi-Agent Framework for Psychiatry Diagnosis
The application of AI in psychiatric diagnosis faces significant challenges, including the subjective nature of mental health assessments, symptom overlap across disorders, and privacy constraints limiting data availability. To address these issues, we present MoodAngels, the first specialized multi-agent framework for mood disorder diagnosis. Our approach combines granular-scale analysis of clinical assessments with a structured verification process, enabling more accurate interpretation of co…

Decision-oriented Text Evaluation
Yu-Shiang Huang, Chuan-Ju Wang, Chung-Chi Chen
https://arxiv.org/abs/2507.01923 https://arxiv.org/p…

Decision-oriented Text Evaluation
Natural language generation (NLG) is increasingly deployed in high-stakes domains, yet common intrinsic evaluation methods, such as n-gram overlap or sentence plausibility, weakly correlate with actual decision-making efficacy. We propose a decision-oriented framework for evaluating generated text by directly measuring its influence on human and large language model (LLM) decision outcomes. Using market digest texts--including objective morning summaries and subjective closing-bell analyses--as…

This https://arxiv.org/abs/2405.09393 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDM_…

Counting overlapping pairs of words
A correlation is a binary vector that encodes all possible positions of overlaps of two words, where an overlap for an ordered pair of words (u,v) occurs if a suffix of word u matches a prefix of word v. As multiple pairs can have the same correlation, it is relevant to count how many pairs of words share the same correlation depending on the alphabet size and word length n. We exhibit recurrences to compute the number of such pairs -- which is termed population size -- for any correlation; for…

Can cloud-based VR streaming handle Wi-Fi OBSS contention?
Miguel Casasnovas, Marc Carrascosa-Zamacois, Boris Bellalta
https://arxiv.org/abs/2507.07677 htt…

Can cloud-based VR streaming handle Wi-Fi OBSS contention?
This paper experimentally analyzes the negative impact of contention caused by neighboring Wi-Fi networks operating on overlapping channels on Virtual Reality (VR) streaming over Wi-Fi, focusing on scenarios of partial and full channel overlap within an 80 MHz channel. Our results show that (i) increasing the number of 80 MHz Overlapping Basic Service Sets (OBSSs) intensifies contention and degrades VR streaming performance; (ii) OBSS activity on the secondary-sided 40 MHz portion degrades perf…

Lattice QCD Study of Positive Parity Dibaryons with Maximal Charm and Strangeness
Navdeep Singh Dhindsa, Nilmani Mathur, M. Padmanath
https://arxiv.org/abs/2507.10660

Lattice QCD Study of Positive Parity Dibaryons with Maximal Charm and Strangeness
We present the ground-state energy spectra of dibaryons composed of single-flavor quarks, specifically systems with strangeness $\mathcal{S} = -6$ and charm $\mathcal{C} = 6$. Our lattice QCD study is based on $N_f=2+1+1$ MILC ensembles with highly improved staggered quark (HISQ) sea quarks, spanning four lattice spacings and two spatial volumes. We employ valence quark propagators realized using a relativistic overlap action, evaluate correlation matrices with carefully designed operator bases…

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
Sarthak Chaturvedi, Anurag Acharya, Rounak Meyur, Koby Hayashi, Sai Munikoti, Sameera Horawalavithana
https://arxiv.org/abs/2506.21581

Evaluating the Robustness of Dense Retrievers in Interdisciplinary Domains
Evaluation benchmark characteristics may distort the true benefits of domain adaptation in retrieval models. This creates misleading assessments that influence deployment decisions in specialized domains. We show that two benchmarks with drastically different features such as topic diversity, boundary overlap, and semantic complexity can influence the perceived benefits of fine-tuning. Using environmental regulatory document retrieval as a case study, we fine-tune ColBERTv2 model on Environment…

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong, Weiming Lu, Shengpei Jiang, Yongliang Shen
https://arxiv.org/abs/2508.05615

Test-Time Reinforcement Learning for GUI Grounding via Region Consistency
Graphical User Interface (GUI) grounding, the task of mapping natural language instructions to precise screen coordinates, is fundamental to autonomous GUI agents. While existing methods achieve strong performance through extensive supervised training or reinforcement learning with labeled rewards, they remain constrained by the cost and availability of pixel-level annotations. We observe that when models generate multiple predictions for the same GUI element, the spatial overlap patterns revea…

Parallel CPU-GPU Execution for LLM Inference on Constrained GPUs
Jiakun Fan, Yanglin Zhang, Xiangchen Li, Dimitrios S. Nikolopoulos
https://arxiv.org/abs/2506.03296

Parallel CPU-GPU Execution for LLM Inference on Constrained GPUs
Deploying large language models (LLMs) for online inference is often constrained by limited GPU memory, particularly due to the growing KV cache during auto-regressive decoding. Hybrid GPU-CPU execution has emerged as a promising solution by offloading KV cache management and parts of attention computation to the CPU. However, a key bottleneck remains: existing schedulers fail to effectively overlap CPU-offloaded tasks with GPU execution during the latency-critical, bandwidth-bound decode phase…

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Bj\"orn Ommer
https://arxiv.org/abs/2508.03402

SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
Explicitly disentangling style and content in vision models remains challenging due to their semantic overlap and the subjectivity of human perception. Existing methods propose separation through generative or discriminative objectives, but they still face the inherent ambiguity of disentangling intertwined concepts. Instead, we ask: Can we bypass explicit disentanglement by learning to merge style and content invertibly, allowing separation to emerge naturally? We propose SCFlow, a flow-matchi…

Quantifying the impact of detection bias from blended galaxies on cosmic shear surveys
Eray Genc, Peter Schneider, Sandra Unruh, Tim Schrabback
https://arxiv.org/abs/2507.01546

Quantifying the impact of detection bias from blended galaxies on cosmic shear surveys
Increasingly large areas in cosmic shear surveys lead to a reduction of statistical errors, necessitating to control systematic errors increasingly better. One of these systematic effects was initially studied by Hartlap et al. in 2011, namely that image overlap with (bright foreground) galaxies may prevent some distant (source) galaxies to remain undetected. Since this overlap is more likely to occur in regions of high foreground density -- which tend to be the regions in which the shear is la…

Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
Ale\v{s} Pra\v{z}\'ak, Marie Kune\v{s}ov\'a, Josef Psutka
https://arxiv.org/abs/2506.20288

Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
Overlapping speech remains a major challenge for automatic speech recognition (ASR) in real-world applications, particularly in broadcast media with dynamic, multi-speaker interactions. We propose a light-weight, target-speaker-based extension to an existing streaming ASR system to enable practical transcription of overlapping speech with minimal computational overhead. Our approach combines a speaker-independent (SI) model for standard operation with a speaker-conditioned (SC) model selectivel…

Dictionary-Based Reconstruction of Spatio-Temporal 3D Magnetic Field Images from Quantum Diamond Microscope
Anuj Bathla, Madhur Parashar, Matthew Markham, Ajit Rajwade, Kasturi Saha
https://arxiv.org/abs/2506.05491

Dictionary-Based Reconstruction of Spatio-Temporal 3D Magnetic Field Images from Quantum Diamond Microscope
Three-dimensional magnetic imaging with high spatio-temporal resolution is critical for probing current paths in various systems, from biosensing to microelectronics. Conventional 2D Fourier-based current source localization methods are ill-posed in multilayer or dynamic systems due to signal overlap and noise. In this work, we demonstrate an innovative nitrogen-vacancy (NV) center-based wide-field magnetic microscopy technique for dynamic three-dimensional imaging and localization of current s…

This https://arxiv.org/abs/2506.02970 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Integrals of motion as slow modes in dissipative many-body operator dynamics
We consider Lindbladian operator dynamics in many-body quantum systems with one or more integrals of motion (IOM), subject to weak local dissipation. We demonstrate that IOMs with small support become slow modes of these dynamics, in the sense that their Frobenius norm decays more slowly compared to generic operators. As a result, the eigenoperators of such Lindbladians with slowest decay rates have a large overlap with the IOMs of the underlying Hamiltonian. We demonstrate this correspondence …

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
Aashiq Muhamed
https://arxiv.org/abs/2506.20128 https://a…

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
RAG systems enhance LLMs by incorporating external knowledge, which is crucial for domains that demand factual accuracy and up-to-date information. However, evaluating the multifaceted quality of RAG outputs, spanning aspects such as contextual coherence, query relevance, factual correctness, and informational completeness, poses significant challenges. Existing evaluation methods often rely on simple lexical overlap metrics, which are inadequate for capturing these nuances, or involve complex …

Overlapping IPv4, IPv6, and TCP data: exploring errors, test case context and multiple overlaps inside network stacks and NIDSes with PYROLYSE
Lucas Aubard, Johan Mazel, Gilles Guette, Pierre Chifflier
https://arxiv.org/abs/2508.00735

Overlapping IPv4, IPv6, and TCP data: exploring errors, test case context and multiple overlaps inside network stacks and NIDSes with PYROLYSE
IP fragmentation and TCP segmentation allow for splitting large data packets into smaller ones, e.g., for transmission across network links of limited capacity. These mechanisms permit complete or partial overlaps with different data on the overlapping portions. IPv4, IPv6, and TCP reassembly policies, i.e., the data chunk preferences that depend on the overlap types, differ across protocol implementations. This leads to vulnerabilities, as NIDSes may interpret the packet differently from the m…