Tootfinder

The Paris prosecutor's office refers a probe into Apple's Siri recordings to the Office for Combating Cybercrime, after a human rights organization's complaint (Bloomberg)
https://www.bloomberg.com/news/articles/20…

Flock Surveillance
refers to the camera and data systems developed by Flock Safety,
-- a private technology company that provides automated license plate recognition  and
vehicle-tracking networks to
police departments, homeowners’ associations, and private businesses across the U.S.
🔥This system enables mass tracking of drivers and data sharing across police and private networks
without sufficient oversight,
raising serious concerns about privacy, …

What is FLOCK surveillance w/ EFF's Sarah Hamid; Oakland Police Commission w/ Ricardo Garcia Acosta and Omar Farmer | KPFA
Flock Surveillance refers to the camera and data systems developed by Flock Safety, a private technology company that provides automated license plate recognition  and vehicle-tracking networks to police departments, homeowners’ associations, and private businesses across the U.S. This system enables mass tracking of drivers and data sharing across police and private networks without sufficient oversight, … Continued

it took me several sentences to understand this front page billboard headline from 1951 & hope that someday a trade journal also refers to my #radio show as a "six-bong program"

RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
Hang Wu, Yujun Cai, Haonan Ge, Hongkai Chen, Ming-Hsuan Yang, Yiwei Wang
https://arxiv.org/abs/2510.02423

RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
Cinematography understanding refers to the ability to recognize not only the visual content of a scene but also the cinematic techniques that shape narrative meaning. This capability is attracting increasing attention, as it enhances multimodal understanding in real-world applications and underpins coherent content creation in film and media. As the most comprehensive benchmark for this task, ShotBench spans a wide range of cinematic concepts and VQA-style evaluations, with ShotVL achieving sta…

A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
Matej Gjurkovi\'c
https://arxiv.org/abs/2510.02811 https://

A Computational Framework for Interpretable Text-Based Personality Assessment from Social Media
Personality refers to individual differences in behavior, thinking, and feeling. With the growing availability of digital footprints, especially from social media, automated methods for personality assessment have become increasingly important. Natural language processing (NLP) enables the analysis of unstructured text data to identify personality indicators. However, two main challenges remain central to this thesis: the scarcity of large, personality-labeled datasets and the disconnect betwee…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Experimental Study of Bremsstrahlung Gamma Ray Emission and Short-Range Correlations in $^{124}$Sn $^{124}$Sn Collisions at 25 MeV/u
Junhuai Xu, Qinglin Niu, Yuhao Qin, Dawei Si, Yijie Wang, Sheng Xiao, Baiting Tian, Zhi Qin, Haojie Zhang, Boyuan Zhang, Dong Guo, Minxue Fu, Xiaobao Wei, Yibo Hao, Zengxiang Wang, Tianren Zhuo, Chunwang Ma, Yuansheng Yang, Xianglun Wei, Herun Yang, Peng Ma, Limin Duan, Fangfang Duan, Kang Wang, Junbing Ma, Shiwei Xu, Zhen Bai, Guo Yang, Yanyun Yang, Meng…

Experimental Study of Bremsstrahlung Gamma Ray Emission and Short-Range Correlations in $^{124}$Sn+$^{124}$Sn Collisions at 25 MeV/u
Short-range correlation (SRC) in nuclei refers to the nucleons forming temporally correlated pairs in close proximity, giving rise to the high momentum of the nucleons beyond the Fermi surface. It has been reported that bremsstrahlung $γ$ production from neutron-proton process in heavy-ion reactions provides a potential probe of the existence of SRC in nuclei. In this paper, we present in detail the precision measurement of bremsstrahlung $γ$-rays in $\rm ^{124}Sn$+$\rm ^{124}Sn$ reactions at…

The UK CMA says it will launch an in-depth investigation into Getty and Shutterstock's proposed merger after their proposed remedies failed to address concerns (Raechel Thankam Job/Reuters)
https://www.reuters.com/susta…

So I guess basketball is football?...
And handball is also football?
And so is hockey? At least field hockey?
https://noc.social/@todayilearned/115278824560329988

Today I learned (@todayilearned@noc.social)
Attached: 1 image TIL that "football" refers to a sport played on foot, rather than horseback, and not to how the ball is moved. (Explaining why US Football is known as such despite mostly relying on hands). https://en.wikipedia.org/wiki/Football_(word) #til #todayilearned https://www.reddit.com/r/todayilearned/comments/1ns8yqz/til_that_football_refers_to_a_sport_played_on/

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
Sahil Bhandary Karnoor, Romit Roy Choudhury
https://arxiv.org/abs/2510.02043 https://…

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
Pose estimation refers to tracking a human's full body posture, including their head, torso, arms, and legs. The problem is challenging in practical settings where the number of body sensors are limited. Past work has shown promising results using conditional diffusion models, where the pose prediction is conditioned on both measurements from the sensors. Unfortunately, nearly all these approaches generalize poorly across users, primarly because location measurements are hi…

Exclusive: House Judiciary Committee Refers John Brennan To DOJ For Criminal Prosecution (Shawn Fleetwood/The Federalist)
https://thefederalist.com/2025/10/21/exclusive-house-judiciary-committee-refers-brennan-to-doj-for-criminal-investigation/
http://www.memeorandum.com/251021/p76#a251021p76

Efficient Dynamic Rank Aggregation
Morteza Alimi, Hourie Mehrabiun, Alireza Zarei
https://arxiv.org/abs/2509.02885 https://arxiv.org/pdf/2509.02885

Efficient Dynamic Rank Aggregation
The rank aggregation problem, which has many real-world applications, refers to the process of combining multiple input rankings into a single aggregated ranking. In dynamic settings, where new rankings arrive over time, efficiently updating the aggregated ranking is essential. This paper develops a fast, theoretically and practically efficient dynamic rank aggregation algorithm. First, we develop the LR-Aggregation algorithm, built on top of the LR-tree data structure, which is itself modeled …

Aligning Requirement for Large Language Model's Code Generation
Zhao Tian, Junjie Chen
https://arxiv.org/abs/2509.01313 https://arxiv.org/pdf/2509.0131…

Aligning Requirement for Large Language Model's Code Generation
Code generation refers to the automatic generation of source code based on a given programming specification, which has garnered significant attention particularly with the advancement of large language models (LLMs). However, due to the inherent complexity of real-world problems, the LLM-generated code often fails to fully align with the provided specification. While state-of-the-art agent-based techniques have been proposed to enhance LLM code generation, they overlook the critical issue of s…

The UK CMA says it will launch an in-depth investigation into Getty and Shutterstock's proposed merger after their proposed remedies failed to address concerns (Raechel Thankam Job/Reuters)
https://www.reuters.com/susta…

Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
Lucas Morisset, Adrien Hardy, Alain Durmus
https://arxiv.org/abs/2510.02119 https://

Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
This paper addresses the problem of inverse covariance (also known as precision matrix) estimation in high-dimensional settings. Specifically, we focus on two classes of estimators: linear shrinkage estimators with a target proportional to the identity matrix, and estimators derived from data augmentation (DA). Here, DA refers to the common practice of enriching a dataset with artificial samples--typically generated via a generative model or through random transformations of the original data--…

"inadvertent error"
Just like Angela Raynor then?
Starmer rules out investigation after Reeves admits rental rules 'mistake' - BBC News
https://www.bbc.co.uk/news/articles/cd04d0yxnrvo

Chancellor Rachel Reeves admits breaking housing rules by renting out home
Rachel Reeves refers herself to the PM's ethics adviser after "inadvertently" renting out her family home without a licence.

Rigid Body Localization and Tracking for 6G V2X: Algorithms, Applications, and Road to Adoption
Niclas F\"uhrling, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, David Gonz\'alez G., Gonzalo Seco-Granados, Osvaldo Gonsa
https://arxiv.org/abs/2509.01208

Rigid Body Localization and Tracking for 6G V2X: Algorithms, Applications, and Road to Adoption
Vehicle-to-everything (V2X) perception refers to a suite of technologies that empower vehicles to sense their environment and communicate with other entities, including surrounding vehicles, infrastructure, and cloud/edge networks. With the growing demands of autonomous driving, V2X perception has gained significant attention, particularly through the emergence of integrated sensing and communication (ISAC) frameworks. Within this landscape, rigid body localization (RBL) has emerged as a promis…

On the role of the design phase in a linear regression
Junho Choi
https://arxiv.org/abs/2509.01861 https://arxiv.org/pdf/2509.01861

On the role of the design phase in a linear regression
The "design phase" refers to a stage in observational studies, during which a researcher constructs a subsample that achieves a better balance in covariate distributions between the treated and untreated units. In this paper, we study the role of this preliminary phase in the context of linear regression, offering a justification for its utility. To that end, we first formalize the design phase as a process of estimand adjustment via selecting a subsample. Then, we show that covariate balance o…

Learning to Price Bundles: A GCN Approach for Mixed Bundling
Liangyu Ding, Chenghan Wu, Guokai Li, Zizhuo Wang
https://arxiv.org/abs/2509.22557 https://arx…

Learning to Price Bundles: A GCN Approach for Mixed Bundling
Bundle pricing refers to designing several product combinations (i.e., bundles) and determining their prices in order to maximize the expected profit. It is a classic problem in revenue management and arises in many industries, such as e-commerce, tourism, and video games. However, the problem is typically intractable due to the exponential number of candidate bundles. In this paper, we explore the usage of graph convolutional networks (GCNs) in solving the bundle pricing problem. Specifically,…

The Washington Post reports on 996,
"a term popularized in China that refers to a rigid work schedule in which people work from 9 a.m. to 9 p.m., six days a week..."
https://it.slashdot.org/story/25/10/25/0…

Some Startups Are Demanding 12-Hour Days, Six Days a Week from Workers - Slashdot
The Washington Post reports on 996, "a term popularized in China that refers to a rigid work schedule in which people work from 9 a.m. to 9 p.m., six days a week..." As the artificial intelligence race heats up, many start-ups in Silicon Valley and New York are promoting hardcore culture as a way ...

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
Zi Liang, Qingqing Ye, Xuan Liu, Yanyun Wang, Jianliang Xu, Haibo Hu
https://arxiv.org/abs/2509.23041

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
Synthetic data refers to artificial samples generated by models. While it has been validated to significantly enhance the performance of large language models (LLMs) during training and has been widely adopted in LLM development, potential security risks it may introduce remain uninvestigated. This paper systematically evaluates the resilience of synthetic-data-integrated training paradigm for LLMs against mainstream poisoning and backdoor attacks. We reveal that such a paradigm exhibits strong…

Hidden orders in spin-orbit entangled correlated insulators
Leonid V. Pourovskii, Dario Fiore Mosca, Lorenzo Celiberti, Sergii Khmelevskyi, Arun Paramekanti, Cesare Franchini
https://arxiv.org/abs/2509.01788

Hidden orders in spin-orbit entangled correlated insulators
In many materials, ordered phases and their order parameters are easily characterized by standard experimental methods. "Hidden order" refers to a phase transition in which an ordered state emerges without such an easily detectable order parameter, despite clear thermodynamic evidence of the transition. The underlying mechanisms for these unconventional states of matter stem from spin-orbit coupling, which intertwines inter-site exchange, classical electron-magnetic interactions, and electron-l…

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang, Zhongqun Zhang, Jiankang Deng, Shan Luo
https://arxiv.org/abs/2509.24661

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial for achieving versatile robotic manipulation in diverse environments and requires substantial amounts of reliable and diverse grasp data for effective model training and robust generalization. However, existing approaches either rely on physics-based optimization that lacks human-like kinematic understanding or require…

The existence of unexpected automorphisms in direct product graphs
Xiaomeng Wang, Yan-Li Qin, Binzhou Xia
https://arxiv.org/abs/2509.26170 https://arxiv.or…

The existence of unexpected automorphisms in direct product graphs
A pair of graphs $(Γ,Σ)$ is called unstable if their direct product $Γ\timesΣ$ admits automorphisms not from $\mathrm{Aut}(Γ)\times\mathrm{Aut}(Σ)$, and such automorphisms are said to be unexpected. The stability of a graph $Γ$ refers to that of $(Γ,K_2)$. While the stability of individual graphs has been relatively well studied, much less is known for graph pairs. In this paper, we propose a conjecture that provides the best possible reduction of the stability of a graph pair to the st…

A complexity catastrophe refers to a situation where a system’s increasing complexity leads to a sharp decline in its ability to effectively adapt, function, or maintain stability.
I don't know, but haven't the governing structures of quite a few countries reached that state?

Algebraic conformal nets, investigation of the locally constant case -- M1 internship supervised by Domenico Fiorenza
Quentin Moreau
https://arxiv.org/abs/2508.18275 https://

Algebraic conformal nets, investigation of the locally constant case -- M1 internship supervised by Domenico Fiorenza
We define the tricategory of algebraic conformal nets, defects, sectors and intertwiners where algebraic refers to the absence of a topology on the relevant algebras and modules. We aim at making these definitions satisfying from a categorical point of view, and in a few cases, e.g., for defects, we propose more general definitions than what can be found in the literature. This allows us in particular to propose an implementation of solitons as defects. Then we focus on the locally constant cas…

Learning the Maximum of a H\"older Function from Inexact Data
Simon Foucart
https://arxiv.org/abs/2509.25209 https://arxiv.org/pdf/2509.25209

Learning the Maximum of a Hölder Function from Inexact Data
Within the theoretical framework of Optimal Recovery, one determines in this article the {\em best} procedures to learn a quantity of interest depending on a Hölder function acquired via inexact point evaluations at fixed datasites. {\em Best} here refers to procedures minimizing worst-case errors. The elementary arguments hint at the possibility of tackling nonlinear quantities of interest, with a particular focus on the function maximum. In a local setting, i.e., for a fixed data vector, the…

Two-dimensional THz spectroscopy in electronic systems: a many-body diagrammatic approach
Jacopo Fiore, Niccol\`o Sellati, Mattia Udina, Lara Benfatto
https://arxiv.org/abs/2509.25060

Two-dimensional THz spectroscopy in electronic systems: a many-body diagrammatic approach
The term two-dimensional coherent spectroscopy (2DCS) usually refers to experimental setups where a coherently generated electric field in a sample is recorded over many runs as a function of two time variables: the delay $τ$ between two consequent excitation pulses and the time $t$ over which the signal is emitted. While its implementation in the femtosecond time domain for studying vibrational molecular states has been developed for over two decades, its experimental application in the THz d…

Cochleagram-based Noise Adapted Speaker Identification System for Distorted Speech
Sabbir Ahmed, Nursadul Mamun, Md Azad Hossain
https://arxiv.org/abs/2508.21347 https://…

Cochleagram-based Noise Adapted Speaker Identification System for Distorted Speech
Speaker Identification refers to the process of identifying a person using one's voice from a collection of known speakers. Environmental noise, reverberation and distortion make the task of automatic speaker identification challenging as extracted features get degraded thus affecting the performance of the speaker identification (SID) system. This paper proposes a robust noise adapted SID system under noisy, mismatched, reverberated and distorted environments. This method utilizes an auditory …

Symmetry of concentration and scaling for self-bounding functions
George Crowley, I\~naki Esnaola
https://arxiv.org/abs/2509.22375 https://arxiv.org/pdf/25…

Symmetry of concentration and scaling for self-bounding functions
We prove generalised concentration inequalities for a class of scaled self-bounding functions of independent random variables, referred to as ${(M,a,b)}$ self-bounding. The scaling refers to the fact that the component-wise difference is upper bounded by an arbitrary positive real number $M$ instead of the case $M=1$ previously considered in the literature. Using the entropy method, we derive symmetric bounds for both the upper and lower tails, and study the tightness of the proposed bounds. Ou…

Nvidia's CFO says Q2 "net other income" was $2.2B, "driven by gains in a publicly-held equity security", which refers to Nvidia's position in CoreWeave (Luke Kawa/Sherwood News)
https://sherwood.news/markets/nvidia-t

Nvidia, the asset manager, had a massive Q2 thanks to CoreWeave’s rally
“Other net income” for Nvidia is way more than most S&P 500 companies’ total net income.

Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks
A S M Shahadat Hossain, Colin Brown, David Koop, Tanu Malik
https://arxiv.org/abs/2509.23645 ht…

Similarity-Based Assessment of Computational Reproducibility in Jupyter Notebooks
Computational reproducibility refers to obtaining consistent results when rerunning an experiment. Jupyter Notebook, a web-based computational notebook application, facilitates running, publishing, and sharing computational experiments along with their results. However, rerunning a Jupyter Notebook may not always generate identical results due to various factors, such as randomness, changes in library versions, or variations in the computational environment. This paper introduces the Similarity…

"The Thanos Team strongly condemns Russia's illegal invasion of Ukraine."
what do you think "The Thanos Team" refers to here

FEM-based A-optimal sensor placement for heat source inversion from final time measurement
Christian Aarset, Tram Thi Ngoc Nguyen
https://arxiv.org/abs/2509.19679 https://

FEM-based A-optimal sensor placement for heat source inversion from final time measurement
Within the field of optimal experimental design, \emph{sensor placement} refers to the act of finding the optimal locations of data collecting sensors, with the aim to optimise reconstruction of an unknown parameter from finite data. In this work, we investigate sensor placement for the inverse problem of reconstructing a heat source given final time measurements. Employing forward and adjoint analysis of this PDE-driven model, we show how one can leverage the first author's recently invented \…

Walk the Robot: Exploring Soft Robotic Morphological Communication driven by Spiking Neural Networks
Matthew Meek, Guy Tallent, Thomas Breimer, James Gaskell, Abhay Kashyap, Atharv Tekurkar, Jonathan Fischman, Luodi Wang, Viet-Dung Nguyen, John Rieffel
https://arxiv.org/abs/2508.19920

Walk the Robot: Exploring Soft Robotic Morphological Communication driven by Spiking Neural Networks
Recently, researchers have explored control methods that embrace nonlinear dynamic coupling instead of suppressing it. Such designs leverage dynamical coupling for communication between different parts of the robot. Morphological communication refers to when those dynamics can be used as an emergent data bus to facilitate coordination among independent controller modules within the same robot. Previous research with tensegrity-based robot designs has shown that evolutionary learning models that…

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
Yongzhi Jin, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube
https://arxiv.org/abs/2508.16106

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
In information recommendation, a session refers to a sequence of user actions within a specific time frame. Session-based recommender systems aim to capture short-term preferences and generate relevant recommendations. However, user interests may shift even within a session, making appropriate segmentation essential for modeling dynamic behaviors. In this study, we propose a supervised session segmentation method based on similarity features derived from action embeddings and attributes. We com…

AI-Enhanced Multi-Dimensional Measurement of Technological Convergence through Heterogeneous Graph and Semantic Learning
Siming Deng, Runsong Jia, Chunjuan Luan, Mengjia Wu, Yi Zhang
https://arxiv.org/abs/2509.21187

AI-Enhanced Multi-Dimensional Measurement of Technological Convergence through Heterogeneous Graph and Semantic Learning
Technological convergence refers to the phenomenon where boundaries between technological areas and disciplines are increasingly blurred. It enables the integration of previously distinct domains and has become a mainstream trend in today's innovation process. However, accurately measuring technological convergence remains a persistent challenge due to its inherently multidimensional and evolving nature. This study designs an Technological Convergence Index (TCI) that comprehensively measures c…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Spontaneous stochasticity in the Armstrong-Vicol passive scalar
Wandrille Ruffenach, Eric Simonnet, Nicolas Valade
https://arxiv.org/abs/2509.15683 https://

Spontaneous stochasticity in the Armstrong-Vicol passive scalar
Spontaneous stochasticity refers to the emergence of intrinsic randomness in deterministic systems under singular limits, a phenomenon conjectured to be fundamental in turbulence. Armstrong and Vicol recently constructed a deterministic, divergence-free multiscale vector field arbitrarily close to a weak Euler solution, proving that a passive scalar transported by this field exhibits anomalous dissipation and lacks a selection principle in the vanishing diffusivity limit. We show that this adve…

Quantum Properties of Non-Dirichlet Boundary Conditions in Gravity
Patrick Draper, Manthos Karydas, Hao Zhang
https://arxiv.org/abs/2509.16190 https://arxi…

Quantum Properties of Non-Dirichlet Boundary Conditions in Gravity
The Euclidean path integral for gravity is enriched by the addition of boundaries, which provide useful probes of thermodynamic properties. Common boundary conditions include Dirichlet conditions on the boundary induced metric; microcanonical conditions, which refers to fixing some components of the Brown-York boundary stress tensor; and conformal conditions, in which the conformal structure of the induced metric and the trace of the extrinsic curvature are fixed. Boundaries also present intere…

Direct Experimental Observation of Quantum Mpemba Effect without Bath Engineering
Arijit Chatterjee, Sakil Khan, Sachin Jain, T S Mahesh
https://arxiv.org/abs/2509.13451 https:/…

Direct Experimental Observation of Quantum Mpemba Effect without Bath Engineering
The quantum Mpemba effect refers to the phenomenon of a quantum system in an initial state, far away from equilibrium, relaxing much faster than a state comparatively nearer to equilibrium. We experimentally demonstrate that this highly counterintuitive effect can occur naturally during the thermalization of quantum systems. Considering dipolar relaxation as the dominant decoherence process, we theoretically derive the conditions that can lead to the Mpemba effect in nuclear spins. After experi…

A Weighted Least Squares Error Hetero-functional Graph State Estimator of the American Multi-modal Energy System
Dakota Thompson, Amro M. Farid
https://arxiv.org/abs/2509.19045 …

It's Word Press Accessibility Day!
A free online conference with global scope and participation.
I just saw a great session on accessibility and the "global south" which refers to a lot of places in rural USA as much as it does to South America and African countries.
Technological disparities including bandwidth, computer power, stable electric supply, and poverty-limited access to technology and software are still huge problems that affect business and societ…

Schedule - WordPress Accessibility Day 2025
See the great talks we have planned for this year!

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
Mohit Sharma, Emma Nilsson, Martin Falk, Talha Bin Masood, Lee Jollans, Anders Persson, Tino Ebbers, Ingrid Hotz
https://arxiv.org/abs/2508.14719

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes that capture energy-dependent attenuation properties. Attenuation refers to the reduction in X-ray intensity as it passes through different tissues or materials. This spectral information enhances tissue and material differentiation, enabling more accurate diagnosis and analysis. However, the resulting multivolume datase…

Mass-induced Coulomb drag in capacitively coupled superconducting nanowires
Aleksandr Latyshev, Adrien Tom\`a, Eugene V. Sukhorukov
https://arxiv.org/abs/2508.18943 https://

Mass-induced Coulomb drag in capacitively coupled superconducting nanowires
We investigate Coulomb drag in a system of two capacitively coupled superconducting nanowires. In this context, drag refers to the appearance of a stationary voltage in the passive wire in response to a current bias applied to the active one. Quantum phase slips (QPS) in the biased wire generate voltage fluctuations that can be transmitted to the other. Using perturbative and semiclassical approaches, we show that when both wires are superconducting the induced voltage vanishes due to exact can…

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Osaine Ekpo, Brian La, Thomas Wiener, Saesha Agarwal, Arshia Agrawal, Gonzalo Gonzalez-Pumariega, Lekan P. Molu, Angelique Taylor
https://arxiv.org/abs/2508.18708

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Fairness in multi-agent reinforcement learning (MARL) is often framed as a workload balance problem, overlooking agent expertise and the structured coordination required in real-world domains. In healthcare, equitable task allocation requires workload balance or expertise alignment to prevent burnout and overuse of highly skilled agents. Workload balance refers to distributing an approximately equal number of subtasks or equalised effort across healthcare workers, regardless of their expertise.…

Female Student Population at Kabul University Before the 2021 Ban: Trends, Gender Parity, and Faculty-Level Dynamics
Jawid Ahmad Baktash, Mursal Dawodi
https://arxiv.org/abs/2509.20406

Female Student Population at Kabul University Before the 2021 Ban: Trends, Gender Parity, and Faculty-Level Dynamics
For nearly two decades after 2001, Afghanistan's higher education sector expanded rapidly, with Kabul University serving as a central site of women's academic participation. Drawing on administrative records of student populations from 2016-2019 (Islamic calendar 1395-1398), this study examines gender distributions across shifts, faculties, and departments, with particular attention to STEM versus non-STEM fields. At Kabul University, the morning shift refers to the main daytime cohort (includi…

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
Stephen Meisenbacher, Alexandra Klymenko, Andreea-Elena Bodea, Florian Matthes
https://arxiv.org/abs/2508.18976

The Double-edged Sword of LLM-based Data Reconstruction: Understanding and Mitigating Contextual Vulnerability in Word-level Differential Privacy Text Sanitization
Differentially private text sanitization refers to the process of privatizing texts under the framework of Differential Privacy (DP), providing provable privacy guarantees while also empirically defending against adversaries seeking to harm privacy. Despite their simplicity, DP text sanitization methods operating at the word level exhibit a number of shortcomings, among them the tendency to leave contextual clues from the original texts due to randomization during sanitization $\unicode{x2013}$…

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
Ruiqi Wu, Yuang Yao, Tengfei Ma, Chenran Zhang, Na Su, Tao Zhou, Geng Chen, Wen Fan, Yi Zhou
https://arxiv.org/abs/2508.16129

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities with reinforcement learning paradigm. Although several multimodal reasoning models have been explored in the medical domain, most of them focus exclusively on basic reasoning, which refers to shallow inference based on visual feature matching. However, real-world clinical diagnosis extends beyond basic reasoning, demanding reasoning processes that integrate heterogeneous clinical information (such…

The phenomenology of Quantum Bounce in the Klein-Gordon, Wheeler-DeWitt and Dirac formalisms
Eleonora Giovannetti
https://arxiv.org/abs/2508.14149 https://…

The phenomenology of Quantum Bounce in the Klein-Gordon, Wheeler-DeWitt and Dirac formalisms
We investigate the different meanings that the concept of Quantum Bounce acquires in various formalisms. The original idea refers to the phenomenology that appears in the Klein-Gordon framework when homogeneous cosmologies are considered. In that case, the Quantum Bounce describes the quantum scattering between a collapsing and an expanding Universe branch, and therefore provides a quantum description of the semiclassical Big Bounce mechanism. Here, we show that the proposal of the Quantum Big …

RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks
Shouren Mao, Minghao Qin, Wei Dong, Huajian Liu, Yongzhuo Gao
https://arxiv.org/abs/2509.20688

RAM-NAS: Resource-aware Multiobjective Neural Architecture Search Method for Robot Vision Tasks
Neural architecture search (NAS) has shown great promise in automatically designing lightweight models. However, conventional approaches are insufficient in training the supernet and pay little attention to actual robot hardware resources. To meet such challenges, we propose RAM-NAS, a resource-aware multi-objective NAS method that focuses on improving the supernet pretrain and resource-awareness on robot hardware devices. We introduce the concept of subnets mutual distillation, which refers to…

Kürzlich las ich in einem Internetartikel in Leserkommentaren die geringschätzige Bemerkung, dass ein Großteil der Menschen ohne inneren Monolog seien. Es wurde impliziert, diese seien dumm, unfähig nachzudenken.
Mir war das nicht bekannt und ich habe geforscht und festgestellt, das ist ein Vorurteil. Wie sich nachdenken ausdrückt, ist, ja, #Neurodivers und unterscheidet sich zwischen den…

What It’s Like to Be ‘Mind Blind’
Aphantasia, or mind blindness, refers to an inability to visualize imagery. One person living with the condition describes what it's like.

Lammy refers himself to watchdog after fishing illegally with JD Vance (Aletha Adu/The Guardian)
https://www.theguardian.com/politics/2025/aug/13/david-lammy-watchdog-illegal-fishing-without-license-jd-vance
http://www.memeorandum.com/250813/p30#a250813p30

Stably exotic 4-manifolds
Daniel Kasprowski, Mark Powell
https://arxiv.org/abs/2508.10499 https://arxiv.org/pdf/2508.10499…

Stably exotic 4-manifolds
A pair of closed, smooth $4$-manifolds $M$ and $M'$ are stably exotic if they are stably homeomorphic but not stably diffeomorphic, where stabilisation refers to connected sum with copies of $S^2 \times S^2$. Orientable stable exotica do not exist by a result of Gompf, but Kreck showed that nonorientable examples are plentiful. We investigate which values of the fundamental group $π$ and the first and second Stiefel-Whitney classes $w_1$ and $w_2$ admit stably exotic pairs, providing a complet…

Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
Taimur Khan
https://arxiv.org/abs/2508.13891 https://

Forecasting Smog Events Using ConvLSTM: A Spatio-Temporal Approach for Aerosol Index Prediction in South Asia
The South Asian Smog refers to the recurring annual air pollution events marked by high contaminant levels, reduced visibility, and significant socio-economic impacts, primarily affecting the Indo-Gangetic Plains (IGP) from November to February. Over the past decade, increased air pollution sources such as crop residue burning, motor vehicles, and changing weather patterns have intensified these smog events. However, real-time forecasting systems for increased particulate matter concentrations …

ISSE: An Instruction-Guided Speech Style Editing Dataset And Benchmark
Yun Chen, Qi Chen, Zheqi Dai, Arshdeep Singh, Philip J. B. Jackson, Mark D. Plumbley
https://arxiv.org/abs/2509.24570

ISSE: An Instruction-Guided Speech Style Editing Dataset And Benchmark
Speech style editing refers to modifying the stylistic properties of speech while preserving its linguistic content and speaker identity. However, most existing approaches depend on explicit labels or reference audio, which limits both flexibility and scalability. More recent attempts to use natural language descriptions remain constrained by oversimplified instructions and coarse style control. To address these limitations, we introduce an Instruction-guided Speech Style Editing Dataset (ISSE)…

NHSE-Driven Coalescence of Topological Defect States in Non-Hermitian Systems
S. M. Rafi-Ul-Islam, Zhuo Bin Siu, Md. Saddam Hossain Razo, Mansoor B. A. Jalil
https://arxiv.org/abs/2508.12254

NHSE-Driven Coalescence of Topological Defect States in Non-Hermitian Systems
In this work, we describe a novel localization phenomena, the so-called topological defect accumulation, occurring in a non-Hermitian chain with an arbitrary number of defect sites. Specifically, it refers to the localization and coalescence of multiple defect eigenstates at a single defect site closest to the localization edge of the bulk non-Hermitian skin modes. This phenomenon is distinct from the conventional topological defect states in Hermitian systems, where the defect states are separ…

Reasoning is about giving reasons
Krunal Shah, Dan Roth
https://arxiv.org/abs/2508.14488 https://arxiv.org/pdf/2508.14488

Reasoning is about giving reasons
Convincing someone of the truth value of a premise requires understanding and articulating the core logical structure of the argument which proves or disproves the premise. Understanding the logical structure of an argument refers to understanding the underlying "reasons" which make up the proof or disproof of the premise - as a function of the "logical atoms" in the argument. While it has been shown that transformers can "chain" rules to derive simple arguments, the challenge of articulating t…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 13 nodes and 63095 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
Ruiqi Wu, Yuang Yao, Tengfei Ma, Chenran Zhang, Na Su, Tao Zhou, Geng Chen, Wen Fan, Yi Zhou
https://arxiv.org/abs/2508.16129

Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning
Multimodal large language models (MLLMs) have recently demonstrated remarkable reasoning abilities with reinforcement learning paradigm. Although several multimodal reasoning models have been explored in the medical domain, most of them focus exclusively on basic reasoning, which refers to shallow inference based on visual feature matching. However, real-world clinical diagnosis extends beyond basic reasoning, demanding reasoning processes that integrate heterogeneous clinical information (such…

Curriculum Approximate Unlearning for Session-based Recommendation
Liu Yang, Zhaochun Ren, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Xinyi Li, Shuaiqiang Wang, Dawei Yin, Xin Xin
https://arxiv.org/abs/2508.15263

Curriculum Approximate Unlearning for Session-based Recommendation
Approximate unlearning for session-based recommendation refers to eliminating the influence of specific training samples from the recommender without retraining of (sub-)models. Gradient ascent (GA) is a representative method to conduct approximate unlearning. However, there still exist dual challenges to apply GA for session-based recommendation. On the one hand, naive applying of GA could lead to degradation of recommendation performance. On the other hand, existing studies fail to consider t…

A solution of the quantum time of arrival problem via mathematical probability theory
Maik Reddiger
https://arxiv.org/abs/2508.11368 https://arxiv.org/pdf/…

A solution of the quantum time of arrival problem via mathematical probability theory
Time of arrival refers to the time a particle takes after emission to impinge upon a suitably idealized detector surface. Within quantum theory, no generally accepted solution exists so far for the corresponding probability distribution of arrival times. In this work we derive a general solution for a single body without spin impacting on a so called ideal detector in the absence of any other forces or obstacles. A solution of the so called screen problem for this case is also given. We constru…

Comparison of typicality in quantum and classical many-body systems
Peter Reimann, Nicolas Nessi
https://arxiv.org/abs/2510.06795 https://arxiv.org/pdf/251…

Comparison of typicality in quantum and classical many-body systems
Quantum typicality refers to the phenomenon that the expectation values of any given observable are nearly identical for the overwhelming majority of all normalized vectors in a sufficiently high-dimensional Hilbert (sub-)space. As a consequence, we show that the thermal equilibrium fluctuations in many-body quantum systems can be very closely imitated by the purely quantum mechanical uncertainties (quantum fluctuations) of suitably chosen pure states. On the other hand, we find that analogous …

Basis pursuit by inconsistent alternating projections
Roger Behling, Yunier Bello-Cruz, Luiz-Rafael Santos, Paulo J. S. Silva
https://arxiv.org/abs/2508.15026 https://

Basis pursuit by inconsistent alternating projections
Basis pursuit is the problem of finding a vector with smallest $\ell_1$-norm among the solutions of a given linear system of equations. It is a famous convex relaxation of what the literature refers to as sparse affine feasibility problem, in which sparse solutions to underdetermined systems are sought. In addition to enjoying convexity, the basis pursuit can be trivially rewritten as a linear program, and thus standard tools in linear programming apply for solving it. In turn, we tackle the …

Binary Decision Process in Pre-Evacuation Behavior
Peng Wang, Peter Luh, Xuesong Lu
https://arxiv.org/abs/2508.08284 https://arxiv.org/pdf/2508.08284

Binary Decision Process in Pre-Evacuation Behavior
In crowd evacuation the time interval before decisive movement towards a safe place is defined as the pre-evacuation phase, and it has crucial impact on the total time required to safe egress. This process mainly refers to situation awareness and response to an external stressors, e.g., fire alarm. Due to the complexity of human cognitive process, stimulation is widely used to study this important time interval. In this paper a binary decision process is formulated to simulate pre-evacuation ti…

“Under President Trump’s leadership,” Stephen Miller vowed to shut down unspecified leftist groups.
“I don’t care how,” he said. “It could be a RICO charge, a conspiracy charge, conspiracy against the United States, insurrection.
But we are going to do what it takes to dismantle the organizations and the entities that are fomenting riots, that are doxxing, that are trying to inspire terrorism, that are committing acts of wanton violence.”
RICO refers to the Racketeer Influenc…

Miller Says He and Trump Will Use Law Enforcement to 'Dismantle' the Left After Kirk Shooting | Common Dreams
Stephen Miller, Trump's deputy chief of staff, said that he and the president will use law enforcement to "dismantle" the left, which he called a "domestic terrorism movement" after the Charlie Kirk shooting.

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 13 nodes and 63095 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Can "premature collapse" form black holes in the upper and lower mass gaps?
Thomas W. Baumgarte, Stuart L. Shapiro
https://arxiv.org/abs/2509.04574 https://

Can "premature collapse" form black holes in the upper and lower mass gaps?
Observations of gravitational waves from binary black hole mergers, including the recent signals GW231123 and GW230529, have revealed multiple progenitor black holes in the so-called upper and lower mass gaps, respectively. It is generally assumed that massive stars cannot form black holes in the upper mass gap because pair instabilities in the late stage of stellar evolution disrupt the stars, whereas the lower mass gap refers to the gap between the maximum allowed neutron star mass and the sm…

Seeing Identity in Data: Can Anthropographics Uncover Racial Homophily in Emotional Responses?
Poorna Talkad Sukumar, Maurizio Porfiri, Oded Nov
https://arxiv.org/abs/2509.09910

Seeing Identity in Data: Can Anthropographics Uncover Racial Homophily in Emotional Responses?
Racial homophily refers to the tendency of individuals to associate with others of the same racial or ethnic background. A recent study found no evidence of racial homophily in responses to mass shooting data visualizations. To increase the likelihood of detecting an effect, we redesigned the experiment by replacing bar charts with anthropographics and expanding the sample size. In a crowdsourced study (N=720), we showed participants a pictograph of mass shooting victims in the United States, w…

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
Gianlucca Zuin, Adriano Veloso
https://arxiv.org/abs/2509.09073 https:/…

"A 6 or a 9?": Ensemble Learning Through the Multiplicity of Performant Models and Explanations
Creating models from past observations and ensuring their effectiveness on new data is the essence of machine learning. However, selecting models that generalize well remains a challenging task. Related to this topic, the Rashomon Effect refers to cases where multiple models perform similarly well for a given learning problem. This often occurs in real-world scenarios, like the manufacturing process or medical diagnosis, where diverse patterns in data lead to multiple high-performing solutions.…

Spin Seebeck effect in two-sublattice ferrimagnets in the vicinity of $T_{\rm C}$
Hayato Fukushima, Masanori Ichioka, Hiroto Adachi
https://arxiv.org/abs/2509.16884 https://

Spin Seebeck effect in two-sublattice ferrimagnets in the vicinity of $T_{\rm C}$
Spin Seebeck effect refers to the magnonic thermal spin injection from a magnet into the adjacent heavy metal. A ferrimagnetic insulator yttrium iron garnet (YIG) is the material most studied for the spin Seebeck effect. Here, to account for a convex downward temperature dependence of the spin Seebeck effect observed in YIG/Pt system near the Curie temperature $T_{\rm C}$, we develop Ginzburg-Landau theory of the spin Seebeck effect in two-sublattice ferrimagnets. We find that only when we take…

Surrogate Graph Partitioning for Spatial Prediction
Yuta Shikuri, Hironori Fujisawa
https://arxiv.org/abs/2510.07832 https://arxiv.org/pdf/2510.07832

Surrogate Graph Partitioning for Spatial Prediction
Spatial prediction refers to the estimation of unobserved values from spatially distributed observations. Although recent advances have improved the capacity to model diverse observation types, adoption in practice remains limited in industries that demand interpretability. To mitigate this gap, surrogate models that explain black-box predictors provide a promising path toward interpretable decision making. In this study, we propose a graph partitioning problem to construct spatial segments tha…

$\epsilon$-Optimal Multi-Agent Patrol using Recurrent Strategy
Deepak Mallya, Arpita Sinha, Leena Vachhani
https://arxiv.org/abs/2509.11640 https://arxiv.o…

$ε$-Optimal Multi-Agent Patrol using Recurrent Strategy
The multi-agent patrol problem refers to repeatedly visiting different locations in an environment using multiple autonomous agents. For over two decades, researchers have studied this problem in various settings. While providing valuable insights into the problem, the works in existing literature have not commented on the nature of the optimal solutions to the problem. We first show that an $ε$-approximate recurrent patrol strategy exists for every feasible patrol strategy. Then, we establish…

Towards Understanding Visual Grounding in Visual Language Models
Georgios Pantazopoulos, Eda B. \"Ozyi\u{g}it
https://arxiv.org/abs/2509.10345 https://

Towards Understanding Visual Grounding in Visual Language Models
Visual grounding refers to the ability of a model to identify a region within some visual input that matches a textual description. Consequently, a model equipped with visual grounding capabilities can target a wide range of applications in various domains, including referring expression comprehension, answering questions pertinent to fine-grained details in images or videos, caption visual context by explicitly referring to entities, as well as low and high-level control in simulated and real …

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
Xiancheng Gao, Yufeng Shi, Wengang Zhou, Houqiang Li
https://arxiv.org/abs/2508.15327 https://…

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
Offline reinforcement learning refers to the process of learning policies from fixed datasets, without requiring additional environment interaction. However, it often relies on well-defined reward functions, which are difficult and expensive to design. Human feedback is an appealing alternative, but its two common forms, expert demonstrations and preferences, have complementary limitations. Demonstrations provide stepwise supervision, but they are costly to collect and often reflect limited exp…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

Seeing Through the Nucleus: A Review of Color Transparency Phenomena
Holly Szumila-Vance, Dipangkar Dutta, Gerald A. Miller, Misak Sargsian
https://arxiv.org/abs/2508.13311 http…

Seeing Through the Nucleus: A Review of Color Transparency Phenomena
We review the current status of the phenomenon of Color Transparency (CT), a fundamental consequence of the description of hadrons from Quantum Chromo Dynamics. CT refers to the vanishing of final (and/or initial) state interactions with the nuclear medium for exclusive process at sufficiently high enough momentum transfers. We discuss the current experimental observations relating to CT and their theoretical implications for other high energy processes. Future CT experiments and facilities are…

Random Party Distillation on a Superconducting Processor
Alexander C. B. Greenwood, Jackson Russett, Hoi-Kwong Lo, Li Qian
https://arxiv.org/abs/2508.09110 https://

Random Party Distillation on a Superconducting Processor
Random party distillation refers to the process by which Einstein-Podolsky-Rosen pairs are randomly extracted from a single copy of a multipartite entangled state after multiple rounds of performing positive operator value measure operations. In this work, we propose a qubit-based implementation of a random party distillation protocol and demonstrate its efficacy on the superconducting hardware device, ibm_quebec. We demonstrate a 4-round implementation of the protocol, showing distillation rat…

Modelling Intertextuality with N-gram Embeddings
Yi Xing
https://arxiv.org/abs/2509.06637 https://arxiv.org/pdf/2509.06637…

Modelling Intertextuality with N-gram Embeddings
Intertextuality is a central tenet in literary studies. It refers to the intricate links between literary texts that are created by various types of references. This paper proposes a new quantitative model of intertextuality to enable scalable analysis and network-based insights: perform pairwise comparisons of the embeddings of n-grams from two texts and average their results as the overall intertextuality. Validation on four texts with known degrees of intertextuality, alongside a scalability…

A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends
Shakhzod Yuldoshkhujaev (Sungkyunkwan University), Mijin Jeon (Sungkyunkwan University), Doowon Kim (University of Tennessee), Nick Nikiforakis (Stony Brook University), Hyungjoon Koo (Sungkyunkwan University)
https://arxiv.org/abs/2509.07457

A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends
An advanced persistent threat (APT) refers to a covert, long-term cyberattack, typically conducted by state-sponsored actors, targeting critical sectors and often remaining undetected for long periods. In response, collective intelligence from around the globe collaborates to identify and trace surreptitious activities, generating substantial documentation on APT campaigns publicly available on the web. While prior works predominantly focus on specific aspects of APT cases, such as detection, e…

Field-free superconducting diode effect in two-dimensional Shiba lattices
Sayak Bhowmik, Dibyendu Samanta, Ashis K. Nandy, Arijit Saha, Sudeep Kumar Ghosh
https://arxiv.org/abs/2508.10832

Field-free superconducting diode effect in two-dimensional Shiba lattices
The superconducting diode effect (SDE) refers to non-reciprocal transport, where current flows without resistance in one direction but becomes resistive in the opposite direction, but its typical reliance on magnetic field hinders scalability and device integration. In this article, we present a theoretical framework for realizing a field-free SDE based on a two-dimensional (2D) Shiba lattice featuring a conical spin texture. Using the real-space Bogoliubov-de Gennes (BdG) calculations, we illu…

Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories
Shilian Chen, Jie Zhou, Tianyu Huai, Yujiang Lu, Junsong Li, Bihao Zhan, Qianjun Pan, Yutao Yang, Xin Li, Qin Chen, Hang Yan, Liang He
https://arxiv.org/abs/2509.12951

Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories
Model merging refers to the process of integrating multiple distinct models into a unified model that preserves and combines the strengths and capabilities of the individual models. Most existing approaches rely on task vectors to combine models, typically under the assumption that model parameters are accessible. However, for extremely large language models (LLMs) such as GPT-4, which are often provided solely as black-box services through API interfaces (Language-Model-as-a-Service), model we…

Active Semantic Perception
Huayi Tang, Pratik Chaudhari
https://arxiv.org/abs/2510.05430 https://arxiv.org/pdf/2510.05430

Active Semantic Perception
We develop an approach for active semantic perception which refers to using the semantics of the scene for tasks such as exploration. We build a compact, hierarchical multi-layer scene graph that can represent large, complex indoor environments at various levels of abstraction, e.g., nodes corresponding to rooms, objects, walls, windows etc. as well as fine-grained details of their geometry. We develop a procedure based on large language models (LLMs) to sample plausible scene graphs of unobser…

Accurate and Noise-Robust Wavefront Reconstruction with an Optical Vortex Wavefront Sensor
Magdalena {\L}ukowicz, Aleksandra Korzeniewska, Kamil Kalinowski, Rafa{\l} Cichowski, Rosario Porras-Aguilar, Mateusz Szatkowski
https://arxiv.org/abs/2510.07998

Accurate and Noise-Robust Wavefront Reconstruction with an Optical Vortex Wavefront Sensor
The term wavefront sensor refers to the entire class of devices capable of measuring the optical wavefront of the incoming beam. Although numerous solutions have been proposed so far, recent advances in structured light have opened new development possibilities through controlled modification of optical field amplitude and phase. We present an alternative approach to angle-based sensing, introducing optical vortices stable phase singularities within each subaperture of the Shack-Hartmann (S-H) …

Global Nonconvex Optimization with Integer Variables
Dimitris Bertsimas, Danique de Moor, Thodoris Koukouvinos, Demetrios Kriezis
https://arxiv.org/abs/2508.07018 https://

Global Nonconvex Optimization with Integer Variables
Nonconvex optimization refers to the process of solving problems whose objective or constraints are nonconvex. Historically, this type of problems have been very difficult to solve to global optimality, with traditional solvers often relying on approximate solutions. Bertsimas et al. introduce a novel approach for solving continuous nonconvex optimization problems to provable optimality, called the Relaxation Perspectification Technique - Branch and Bound (RPT-BB). In this paper, we extend the …

Membership Inference Attacks with False Discovery Rate Control
Chenxu Zhao, Wei Qian, Aobo Chen, Mengdi Huai
https://arxiv.org/abs/2508.07066 https://arxiv…

Membership Inference Attacks with False Discovery Rate Control
Recent studies have shown that deep learning models are vulnerable to membership inference attacks (MIAs), which aim to infer whether a data record was used to train a target model or not. To analyze and study these vulnerabilities, various MIA methods have been proposed. Despite the significance and popularity of MIAs, existing works on MIAs are limited in providing guarantees on the false discovery rate (FDR), which refers to the expected proportion of false discoveries among the identified p…

Bulk photovoltaic effects in the Haldane model
Bo-Xin Lin, Hsiu-Chuan Hsu
https://arxiv.org/abs/2508.12414 https://arxiv.org/pdf/2508.12414

Bulk photovoltaic effects in the Haldane model
The bulk photovoltaic effect (BPVE) refers to the direct current generation in a noncentrosymmetric material under illumination and can be applied to solar energy technology. BPVE includes injection and shift currents, led by the change of velocity and displacement of wave packet during optical transitions, respectively. We derive the constraints on the conductivity tensors imposed by mirror-time ($\mathcal{MT}$) symmetry for two-dimensional systems. For the Haldane model, we show that linearly…

If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
Jasmin Orth, Philipp Mondorf, Barbara Plank
https://arxiv.org/abs/2510.08388

If Probable, Then Acceptable? Understanding Conditional Acceptability Judgments in Large Language Models
Conditional acceptability refers to how plausible a conditional statement is perceived to be. It plays an important role in communication and reasoning, as it influences how individuals interpret implications, assess arguments, and make decisions based on hypothetical scenarios. When humans evaluate how acceptable a conditional "If A, then B" is, their judgments are influenced by two main factors: the $\textit{conditional probability}$ of $B$ given $A$, and the $\textit{semantic relevance}$ of …

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
Zhong-Xia Shang, Dong An, Changpeng Shao
https://arxiv.org/abs/2509.09517

Exponential Lindbladian fast forwarding and exponential amplification of certain Gibbs state properties
We investigate Lindbladian fast-forwarding and its applications to estimating Gibbs state properties. Fast-forwarding refers to the ability to simulate a system of time $t$ using significantly fewer than $t$ queries or circuit depth. While various Hamiltonian systems are known to circumvent the no fast-forwarding theorem, analogous results for dissipative dynamics, governed by Lindbladians, remain largely unexplored. We first present a quantum algorithm for simulating purely dissipative Lindbla…

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Wissam Salhab, Darine Ameyed, Hamid Mcheick, Fehmi Jaafar
https://arxiv.org/abs/2510.12713

Towards Robust Artificial Intelligence: Self-Supervised Learning Approach for Out-of-Distribution Detection
Robustness in AI systems refers to their ability to maintain reliable and accurate performance under various conditions, including out-of-distribution (OOD) samples, adversarial attacks, and environmental changes. This is crucial in safety-critical systems, such as autonomous vehicles, transportation, or healthcare, where malfunctions could have severe consequences. This paper proposes an approach to improve OOD detection without the need of labeled data, thereby increasing the AI systems' robu…

Robust Exploratory Stopping under Ambiguity in Reinforcement Learning
Junyan Ye, Hoi Ying Wong, Kyunghyun Park
https://arxiv.org/abs/2510.10260 https://arx…

Robust Exploratory Stopping under Ambiguity in Reinforcement Learning
We propose and analyze a continuous-time robust reinforcement learning framework for optimal stopping problems under ambiguity. In this framework, an agent chooses a stopping rule motivated by two objectives: robust decision-making under ambiguity and learning about the unknown environment. Here, ambiguity refers to considering multiple probability measures dominated by a reference measure, reflecting the agent's awareness that the reference measure representing her learned belief about the env…

Topological pumping of light governed by Fibonacci numbers
Ruihan Peng, Kai Yang, Qidong Fu, Yanli Chen, Peng Wang, Yaroslav V. Kartashov, Vladimir V. Konotop, Fangwei Ye
https://arxiv.org/abs/2509.04910

Topological pumping of light governed by Fibonacci numbers
Topological pumping refers to transfer of a physical quantity governed by the systemtopology, resulting in quantized amounts of the transferred quantities. It is a ubiqui-tous wave phenomenon typically considered subject to exactly periodic adiabatic vari-ation of the system parameters. Recently, proposals for generalizing quasi-periodictopological pumping and identifying possible physical settings for its implementa-tion have emerged. In a strict sense, pumping with incommensurate frequencies …

Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
Yi Liu, Xiangrong Zhu, Xiangyu Liu, Wei Wei, Wei Hu
https://arxiv.org/abs/2509.07555 h…

Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition
In a rapidly evolving world where information updates swiftly, knowledge in large language models (LLMs) becomes outdated quickly. Retraining LLMs is not a cost-effective option, making knowledge editing (KE) without modifying parameters particularly necessary. We find that although existing retrieval-augmented generation (RAG)-based KE methods excel at editing simple knowledge, they struggle with KE in multi-hop question answering due to the issue of "edit skipping", which refers to skipping t…

Elucidating the Design Space of Decay in Linear Attention
Zhen Qin, Xuyang Shen, Yiran Zhong
https://arxiv.org/abs/2509.05282 https://arxiv.org/pdf/2509.05…

Elucidating the Design Space of Decay in Linear Attention
This paper presents a comprehensive investigation into the decay mechanisms inherent in linear complexity sequence models. We systematically delineate the design space of decay mechanisms across four pivotal dimensions: parameterization strategy, which refers to the computational methodology for decay; parameter sharing, which involves the utilization of supplementary parameters for decay computation; decay granularity, comparing scalar versus vector-based decay; and compatibility with relative…

Joint decoding method for controllable contextual speech recognition based on Speech LLM
Yangui Fang, Jing Peng, Yu Xi, Xu Li, Haoyu Li, Chengwei Zhang, Guohui Zhong, Kai Yu
https://arxiv.org/abs/2508.08585

Joint decoding method for controllable contextual speech recognition based on Speech LLM
Contextual speech recognition refers to the ability to identify preferences for specific content based on contextual information. Recently, leveraging the contextual understanding capabilities of Speech LLM to achieve contextual biasing by injecting contextual information through prompts have emerged as a research hotspot.However, the direct information injection method via prompts relies on the internal attention mechanism of the model, making it impossible to explicitly control the extent of …

LLM Serving Optimization with Variable Prefill and Decode Lengths
Meixuan Wang, Yinyu Ye, Zijie Zhou
https://arxiv.org/abs/2508.06133 https://arxiv.org/pdf…

LLM Serving Optimization with Variable Prefill and Decode Lengths
We study the problem of serving LLM (Large Language Model) requests where each request has heterogeneous prefill and decode lengths. In LLM serving, the prefill length corresponds to the input prompt length, which determines the initial memory usage in the KV cache. The decode length refers to the number of output tokens generated sequentially, with each additional token increasing the KV cache memory usage by one unit. Given a set of n requests, our goal is to schedule and process them to mini…

sp_baboons: Baboons' interactions (2020)
Network of interactions between a group of 20 Guinea baboons living in an enclosure of a Primate Center in France, between June 13th 2019 and July 10th 2019. The data set contains observational and wearable sensors data.
This network has 23 nodes and 3197 edges.
Tags: Social, Animal, Offline, Unweighted, Weighted, Temporal, Metadata

XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation
Tianlun Zuo, Jingbin Hu, Yuke Li, Xinfa Zhu, Hai Li, Ying Yan, Junhui Liu, Danming Xie, Lei Xie
https://arxiv.org/abs/2508.07302

XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation
Zero-shot emotion transfer in cross-lingual speech synthesis refers to generating speech in a target language, where the emotion is expressed based on reference speech from a different source language.However, this task remains challenging due to the scarcity of parallel multilingual emotional corpora, the presence of foreign accent artifacts, and the difficulty of separating emotion from language-specific prosodic features.In this paper, we propose XEmoRAG, a novel framework to enable zero-sho…

Keyword Spotting with Hyper-Matched Filters for Small Footprint Devices
Yael Segal-Feldman, Ann R. Bradlow, Matthew Goldrick, Joseph Keshet
https://arxiv.org/abs/2508.04857 http…

Keyword Spotting with Hyper-Matched Filters for Small Footprint Devices
Open-vocabulary keyword spotting (KWS) refers to the task of detecting words or terms within speech recordings, regardless of whether they were included in the training data. This paper introduces an open-vocabulary keyword spotting model with state-of-the-art detection accuracy for small-footprint devices. The model is composed of a speech encoder, a target keyword encoder, and a detection network. The speech encoder is either a tiny Whisper or a tiny Conformer. The target keyword encoder is i…