Tootfinder

Introducing Web Numbers
Domains? Where we’re going, we don’t need domains!
Get ready for an exciting new (old?) way to address (small) web sites in 2026.
https://ar.al/2025/06/25/web-numbers/
💕
(Thanks to @…

Web Numbers
Domains? Where we’re going, we don’t need domains! Until the end of this year, the only way to have a secure web site is to have it accessible via a domain name. That, however, is changing. And the design of the Small Web will be changing along with it. IP addresses are about to make a comeback on the web in a big (ok, small) way, thanks to upcoming support for security certificates for IP addresses by Let’s Encrypt.

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models
Zehuan Huang, Haoran Feng, Yangtian Sun, Yuanchen Guo, Yanpei Cao, Lu Sheng
https://arxiv.org/abs/2506.19851

AnimaX: Animating the Inanimate in 3D with Joint Video-Pose Diffusion Models
We present AnimaX, a feed-forward 3D animation framework that bridges the motion priors of video diffusion models with the controllable structure of skeleton-based animation. Traditional motion synthesis methods are either restricted to fixed skeletal topologies or require costly optimization in high-dimensional deformation spaces. In contrast, AnimaX effectively transfers video-based motion knowledge to the 3D domain, supporting diverse articulated meshes with arbitrary skeletons. Our method r…

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
Rian Touchent, Nathan Godey, Eric de la Clergerie
https://arxiv.org/abs/2506.20331

Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
We introduce Biomed-Enriched, a biomedical text dataset constructed from PubMed via a two-stage annotation process. In the first stage, a large language model annotates 400K paragraphs from PubMed scientific articles, assigning scores for their type (review, study, clinical case, other), domain (clinical, biomedical, other), and educational quality. The educational quality score (rated 1 to 5) estimates how useful a paragraph is for college-level learning. These annotations are then used to fin…

Quantum-Resistant Domain Name System: A Comprehensive System-Level Study
Juyoul Lee, Sanzida Hoque, Abdullah Aydeger, Engin Zeydan
https://arxiv.org/abs/2506.19943

Quantum-Resistant Domain Name System: A Comprehensive System-Level Study
The Domain Name System (DNS) plays a foundational role in Internet infrastructure, yet its core protocols remain vulnerable to compromise by quantum adversaries. As cryptographically relevant quantum computers become a realistic threat, ensuring DNS confidentiality, authenticity, and integrity in the post-quantum era is imperative. In this paper, we present a comprehensive system-level study of post-quantum DNS security across three widely deployed mechanisms: DNSSEC, DNS-over-TLS (DoT), and DN…

Lol, how did I miss that the UK military named its AI trial WINTERMUTE?
https://www.gov.uk/government/news/largest-ever-uk-defence-ai-trial-conducted-across-land-sea-and-air

Largest ever UK defence AI trial conducted across land, sea and air
Sailors and air crews are set to benefit from new artificial intelligence (AI) capabilities following the UK's largest ever multi-domain AI trial, bringing together land, sea and air equipment.

PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models
Wang Bill Zhu, Miaosen Chai, Ishika Singh, Robin Jia, Jesse Thomason
https://arxiv.org/abs/2506.20097

PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models
We propose PSALM-V, the first autonomous neuro-symbolic learning system able to induce symbolic action semantics (i.e., pre- and post-conditions) in visual environments through interaction. PSALM-V bootstraps reliable symbolic planning without expert action definitions, using LLMs to generate heuristic plans and candidate symbolic semantics. Previous work has explored using large language models to generate action semantics for Planning Domain Definition Language (PDDL)-based symbolic planners.…

Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language
Julian Fragner, Christian Macho, Bernhard Dieber, Martin Pinzger
https://arxiv.org/abs/2506.19539

Lost in Translation? Converting RegExes for Log Parsing into Dynatrace Pattern Language
Log files provide valuable information for detecting and diagnosing problems in enterprise software applications and data centers. Several log analytics tools and platforms were developed to help filter and extract information from logs, typically using regular expressions (RegExes). Recent commercial log analytics platforms provide domain-specific languages specifically designed for log parsing, such as Grok or the Dynatrace Pattern Language (DPL). However, users who want to migrate to these p…

High-Efficiency Tunable Microwave Photon Detector Based on a Semiconductor Double Quantum Dot Coupled to a Superconducting High-Impedance Cavity
Fabian Oppliger, Wonjin Jang, Aldo Tarascio, Franco De Palma, Christian Reichl, Werner Wegscheider, Ville F. Maisi, Dominik Zumb\"uhl, Pasquale Scarlino
https://arxiv.org/abs/2506.…

High-Efficiency Tunable Microwave Photon Detector Based on a Semiconductor Double Quantum Dot Coupled to a Superconducting High-Impedance Cavity
High-efficiency single-photon detection in the microwave domain is a key enabling technology for quantum sensing, communication, and information processing. However, the extremely low energy of microwave photons (~μeV) presents a fundamental challenge, preventing direct photon-to-charge conversion as achieved in optical systems using semiconductors. Semiconductor quantum dot (QD) charge qubits offer a compelling solution due to their highly tunable energy levels in the microwave regime, enabli…

Heute vor 62 Jahren: Am 25. Juni 1963 zündeten die #USA im Rahmen von Operation Storax die Atombombe "Kennebec". Storax war eine Serie von #Kernwaffentests bei der 62/63 insgesamt 47 Bomben im Testgebiet in #Nevada

Has anyone gotten the #Hetzner Object Storage working with a custom domain (Reverse Proxy)?
I followed the instructions but getting access denied via the ReverseProxy while it's working directly with cURL. :boost_ok:

Transformer Based Multi-Target Bernoulli Tracking for Maritime Radar
Caden Sweeney, Du Yong Kim, Branko Ristic, Brian Cheung
https://arxiv.org/abs/2506.20319

Transformer Based Multi-Target Bernoulli Tracking for Maritime Radar
Multi-target tracking in the maritime domain is a challenging problem due to the non-Gaussian and fluctuating characteristics of sea clutter. This article investigates the use of machine learning (ML) to the detection and tracking of low SIR targets in the maritime domain. The proposed method uses a transformer to extract point measurements from range-azimuth maps, before clustering and tracking using the Labelled mulit- Bernoulli (LMB) filter. A measurement driven birth density design based on…

Radiated Angular Momentum from Spinning Black Hole Scattering Trajectories
Gustav Mogull, Jan Plefka, Kathrin Stoldt
https://arxiv.org/abs/2506.20643 https…

Radiated Angular Momentum from Spinning Black Hole Scattering Trajectories
Using the worldline quantum field theory approach we derive solutions to the equations of motion for spinning massive bodies up to quadratic order in spins. At leading post-Minkowskian (PM) order these trajectories are obtained in the time domain, and at sub-leading order in the frequency domain. Our approach incorporates diagrammatic techniques and modern Feynman integration technologies, and includes a new family of loop integrals different to those seen in asymptotic PM calculations. Our res…

QCD Axion Domain Walls from Super-Cooling First Order Phase Transition
Kun-Feng Lyu, Yue Zhao
https://arxiv.org/abs/2506.19918 https://

QCD Axion Domain Walls from Super-Cooling First Order Phase Transition
The QCD axion is a well-motivated hypothetical particle beyond the Standard Model (SM) and a compelling dark matter candidate. Its relic abundance is highly sensitive to the thermal history of the universe when the temperature is around the QCD confinement scale. Meanwhile, the NANOGrav Collaboration has reported evidence for a stochastic gravitational wave background, which could originate from a supercooled first-order phase transition (FOPT) with a nucleation temperature around the O(MeV-GeV…

Analog OFDM based on Real-Time Fourier Transformation
Xiaolu Yang, Oscar C\'espedes Vicente, Christophe Caloz
https://arxiv.org/abs/2506.20287 https://…

Analog OFDM based on Real-Time Fourier Transformation
This paper proposes an analog orthogonal frequency division multiplexing (OFDM) architecture based on the real-time Fourier transform (RTFT). The core enabling component is a linear-chirp phaser with engineered group velocity dispersion (GVD), which realizes RTFT and performs frequency-to-time mapping in the analog domain. In this architecture, conventional digital fast Fourier transform (FFT) and inverse FFT (IFFT) processors are replaced by two linear-chirp phasers with opposite group delay d…

Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities
Soojin Park, Su Yeon Kim, Xinyao Zheng, Chioun Lee
https://arxiv.org/abs/2506.18994

Causal Decomposition Analysis with Synergistic Interventions: A Triply-Robust Machine Learning Approach to Addressing Multiple Dimensions of Social Disparities
Educational disparities are rooted in and perpetuate social inequalities across multiple dimensions such as race, socioeconomic status, and geography. To reduce disparities, most intervention strategies focus on a single domain and frequently evaluate their effectiveness by using causal decomposition analysis. However, a growing body of research suggests that single-domain interventions may be insufficient for individuals marginalized on multiple fronts. While interventions across multiple doma…

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
Marc-Antoine Coulombe, Maxime Berger, Antoine Lesage-Landry
https://arxiv.org/abs/2506.19178

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
The growing reliance on power electronics introduces new challenges requiring detailed time-domain analyses with fast and accurate circuit simulation tools. Currently, commercial time-domain simulation software are mainly relying on physics-based methods to simulate power electronics. Recent work showed that data-driven and physics-informed learning methods can increase simulation speed with limited compromise on accuracy, but many challenges remain before deployment in commercial tools can be …

General-domain FC-based shock-dynamics solver II: Non-smooth domains, accuracy and parallel performance
Daniel V. Leibovici, Oscar P. Bruno
https://arxiv.org/abs/2506.19370

General-domain FC-based shock-dynamics solver II: Non-smooth domains, accuracy and parallel performance
This contribution Part II of a two-part series, extends the general-domain FC-SDNN (Fourier Continuation Shock-Detecting Neural Network) introduces in Part I to enable treatment of non-smooth domains, it introduces a parallel implementation of the scheme with high-quality weak and strong scalability properties, and it illustrates the overall methodology for a variety of tests for the 2D Euler equations--including supersonic and hypersonic flows and shocks past obstacles with corners. The result…

💡 Forschungssoftware ist oft so komplex, dass in vielen Projekten die Dokumentation zur Software, die eine sinnvolle Nachnutzung erst ermöglicht, zu kurz kommt.
🛠️ In einem Arbeitstreffen möchte daher Dennis Ried @… , der Preisträger unseres 3. #NFDFI4Culture

On complete integral closedness of the $p$-adic completion of absolute integral closure
Raymond Heitmann, Linquan Ma
https://arxiv.org/abs/2506.19148 https…

On complete integral closedness of the $p$-adic completion of absolute integral closure
Fix a prime $p$ and let $(R,\mathfrak{m})$ be a Noetherian complete local domain of mixed characteristic $(0,p)$ with fraction field $K$. Let $R^+$ denote the absolute integral closure of $R$, which is the integral closure of $R$ in an algebraic closure $\overline{K}$ of $K$. The first author has shown that $\widehat{R^+}$, the $p$-adic completion of $R^+$, is an integral domain. In this paper, we prove that $\widehat{R^+}$ is completely integrally closed in $\widehat{R^+}\otimes_{R^+}\overline…

"I do not need the one magic machine that claims to solve all my issues and then makes me jump through conversational hoops to get a mediocre result. That is actually the opposite of what I need."
On chatbots as a bad design paradigm
(Original title: “ChatBot” is bad design)
https://t…

"ChatBot" is bad design
As anyone who has ever seen anything I have created knows: I am not a designer. So take my reasoning and thinking here with a grain of salt. I do have many designers amongst my friends and I do think that a lot of software engineering falls within the domain of design to a certain […]

Fractional multi-phase transitions and nonlocal minimal partitions
Thomas Gabard, Vincent Millot
https://arxiv.org/abs/2506.20226 https://

Fractional multi-phase transitions and nonlocal minimal partitions
This article is devoted to the study of certain models for phase transitions involving nonlocal energies. A first part is concerned with to the asymptotic analysis of a system of fractional elliptic equations of Allen-Cahn type as a characteristic small parameter tends to zero. It is shown that solutions converge to critical points of a nonlocal geometric energy defined over a class of partitions of the domain. A regularity analysis for solutions of the geometric problem is also performed, in t…

interactome_pdz: PDZ-domain interactome (2005)
A network of PDZ-domain-mediated protein–protein binding interactions, extracted from the PDZBase database. Nodes represent proteins and an edge represents a binding interaction between two proteins.
This network has 212 nodes and 244 edges.
Tags: Biological, Protein interactions, Unweighted

Bismut Formula and Gradient Estimates for Dirichlet Semigroups with Application to Singular Killed DDSDEs
Feng-Yu Wang, Xiao-Yu Zhao
https://arxiv.org/abs/2506.19429

Bismut Formula and Gradient Estimates for Dirichlet Semigroups with Application to Singular Killed DDSDEs
By establishing a local version of Bismut formula for Dirichlet semigroups on a regular domain, gradient estimates are derived for killed SDEs with singular drifts. As an application, the total variation distance between two solutions of killed DDSDEs is bounded above by the truncated $1$-Wasserstein distance of initial distributions, in the regular and singular cases respectively.

Comparing the dynamics of idealized squall lines between NWP and LES models
Mirjam Tijhuis, Axel Seifert, Alberto de Lozar, Bart J. H. van Stratum, Chiel C. van Heerwaarden
https://arxiv.org/abs/2506.19435

Comparing the dynamics of idealized squall lines between NWP and LES models
Both Numerical Weather Prediction (NWP) models and Large-Eddy Simulation (LES) models are used to simulate convective systems, such as squall lines, but with different purposes. NWP models aim for the most accurate weather forecasts, whereas LES models are typically used to advance our understanding of physical processes. Therefore, these types of models differ in their design. With increasing computer power, the domain sizes and resolutions of these models converge, which raises the question i…

Probing Phonon Modes in Reconstructed twisted Homo and Hetero Bilayer System
Sushil Kumar Sahu, Robin Bajaj, Syed Ummair Ali, Ajay Bhut, Roshan Jesus Mathew, Shinjan Mandal, Kenji Watanabe, Takashi Taniguchi, Manish Jain, Chandan Kumar
https://arxiv.org/abs/2506.19669

Probing Phonon Modes in Reconstructed twisted Homo and Hetero Bilayer System
Twist angle engineering in van der Waals homo and hetero-bilayers introduces profound modifications in their electronic, optical and mechanical properties due to lattice reconstruction. In these systems, the interlayer coupling and atomic rearrangement strongly depend on the twist angle, leading to the formation of periodic Moire superlattices. At small twist angles, significant lattice relaxation results in the emergence of domain structures separated by one dimensional soliton networks, influ…

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Lintao Wang, Encheng Su, Jiaqi Liu, Pengze Li, Peng Xia, Jiabei Xiao, Wenlong Zhang, Xinnan Dai, Xi Chen, Yuan Meng, Mingyu Ding, Lei Bai, Wanli Ouyang, Shixiang Tang, Aoran Wang, Xinzhu Ma
https://arxiv.org/abs/2506.17667

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models
Physics problem-solving is a challenging domain for large AI models, requiring integration of conceptual understanding, mathematical reasoning, and interpretation of physical diagrams. Current evaluation methodologies show notable limitations in capturing the breadth and complexity of undergraduate-level physics, underscoring the need for more rigorous assessments. To this end, we present PhysUniBench, a large-scale multimodal benchmark designed to evaluate and improve the reasoning capabilitie…

The Steklov Spectrum of Spherical Cylinders
Spencer Bullent
https://arxiv.org/abs/2506.20498 https://arxiv.org/pdf/2506.20498

The Steklov Spectrum of Spherical Cylinders
The Steklov problem on a compact Lipschitz domain is to find harmonic functions on the interior whose outward normal derivative on the boundary is some multiple (eigenvalue) of its trace on the boundary. These eigenvalues form the Steklov spectrum of the domain. This article considers the Steklov spectrum of spherical cylinders (Euclidean ball times interval). It is shown that the spectral counting function admits a two term asymptotic expansion. The coefficient of the second term consists of a…

PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
Mintong Kang, Zhaorun Chen, Chejian Xu, Jiawei Zhang, Chengquan Guo, Minzhou Pan, Ivan Revilla, Yu Sun, Bo Li
https://arxiv.org/abs/2506.19054

PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
As LLMs become widespread across diverse applications, concerns about the security and safety of LLM interactions have intensified. Numerous guardrail models and benchmarks have been developed to ensure LLM content safety. However, existing guardrail benchmarks are often built upon ad hoc risk taxonomies that lack a principled grounding in standardized safety policies, limiting their alignment with real-world operational requirements. Moreover, they tend to overlook domain-specific risks, while…

Replaced article(s) found for cs.MM. https://arxiv.org/list/cs.MM/new
[1/1]:
- ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval
Ruixiang Zhao, Jian Jia, Yan Li, Xuehan Bai, Quan Chen, Han Li, Peng Jiang, Xirong Li

More sites like this: https://infosec.exchange/@gabe_sky/114558396307371647
I have:
https://countdown.codevoid.net

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[1/4]:
- Progressive Cross-Stream Cooperation in Spatial and Temporal Domain for Action Localization
Rui Su, Dong Xu, Luping Zhou, Wanli Ouyang

This is such a good summary of "the problem with 'data science'", as it tries to replace any domain expertise with the misguided notion that some form of statistics.
And so you end up with (maybe even well-meaning) researchers that are so far in over their head that they don't even know what they don't know.
Case in point: the authors of the preprint come from mathematics, computer science, physics, and 'future studies' (lol)…
@…

LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
Wangyu Wu, Zhenhong Chen, Xianglin Qiu, Siqi Song, Xiaowei Huang, Fei Ma, Jimin Xiao
https://arxiv.org/abs/2506.17966

LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
Cross-Domain Sequential Recommendation (CDSR) predicts user behavior by leveraging historical interactions across multiple domains, focusing on modeling cross-domain preferences and capturing both intra- and inter-sequence item relationships. We propose LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation (LLM-EMF), a novel and advanced approach that enhances textual information with Large Language Models (LLM) knowledge and significantly improves recommendation performance…

CODS : A Theoretical Model for Computational Design Based on Design Space
Nan Cao, Xiaoyu Qi, Chuer Chen, Xiaoke Yan
https://arxiv.org/abs/2506.18455 https…

CODS : A Theoretical Model for Computational Design Based on Design Space
We introduce CODS (Computational Optimization in Design Space), a theoretical model that frames computational design as a constrained optimization problem over a structured, multi-dimensional design space. Unlike existing methods that rely on handcrafted heuristics or domain-specific rules, CODS provides a generalizable and interpretable framework that supports diverse design tasks. Given a user requirement and a well-defined design space, CODS automatically derives soft and hard constraints us…

Projective length, phantom extensions, and the structure of flat modules
Matteo Casarosa, Martino Lupini
https://arxiv.org/abs/2506.17982 https://

Projective length, phantom extensions, and the structure of flat modules
We consider the natural generalization of the notion of the order of a phantom map from the topological setting to triangulated categories. When applied to the derived category of the category of countable flat modules over a countable Dedekind domain, this yields a notion of\emph{\ phantom extension} of order $α<ω_{1}$. We provide a complexity-theoretic characterization of the module $\mathrm{Ph}% ^{α}\mathrm{Ext}\left( C,A\right) $ of phantom extensions of order $α$ with respect to the st…

Heute vor 57 Jahren: Am 25. Juni 1968 zündeten die USA im Rahmen von Operation #Crosstie die 54. #Atombombe "Funnel". Crosstie war eine Serie von Tests zwischen 67/68 bei der insgesamt 48 #Kernwaffentests

Choosing the Right Battery Model for Data Center Simulations
Paul Kilian, Philipp Wiesner, Odej Kao
https://arxiv.org/abs/2506.17739 https://

Choosing the Right Battery Model for Data Center Simulations
As demand for computing resources continues to rise, the increasing cost of electricity and anticipated regulations on carbon emissions are prompting changes in data center power systems. Many providers are now operating compute nodes in microgrids, close to renewable power generators and energy storage, to maintain full control over the cost and origin of consumed electricity. Recently, new co-simulation testbeds have emerged that integrate domain-specific simulators to support research, devel…

I just implemented librenms-agent and the certificate check on my systems.
I just love the way I can easily access information about a system across its configuration.
For the certificate check I need the domain/s of the system.
While I'm sure this could be further improved it is already a lot of fun to use.
```
az-librenms-certificate = {
enable = true;
domains = [
{ fqdn = "${config.services.freshrss.virtualHost}&qu…

Subtooting since people in the original thread wanted it to be over, but selfishly tagging @… and @… whose opinions I value...
I think that saying "we are not a supply chain" is exactly what open-source maintainers should be doing right now in response to "open source supply chain security" threads.
I can't claim to be an expert and don't maintain any important FOSS stuff, but I do release almost all of my code under open licenses, and I do use many open source libraries, and I have felt the pain of needing to replace an unmaintained library.
There's a certain small-to-mid-scale class of program, including many open-source libraries, which can be built/maintained by a single person, and which to my mind best operate on a "snake growth" model: incremental changes/fixes, punctuated by periodic "skin-shedding" phases where make rewrites or version updates happen. These projects aren't immortal either: as the whole tech landscape around them changes, they become unnecessary and/or people lose interest, so they go unmaintained and eventually break. Each time one of their dependencies breaks (or has a skin-shedding moment) there's a higher probability that they break or shed too, as maintenance needs shoot up at these junctures. Unless you're a company trying to make money from a single long-lived app, it's actually okay that software churns like this, and if you're a company trying to make money, your priorities absolutely should not factor into any decisions people making FOSS software make: we're trying (and to a huge extent succeeding) to make a better world (and/or just have fun with our own hobbies share that fun with others) that leaves behind the corrosive & planet-destroying plague which is capitalism, and you're trying to personally enrich yourself by embracing that plague. The fact that capitalism is *evil* is not an incidental thing in this discussion.
To make an imperfect analogy, imagine that the peasants of some domain have set up a really-free-market, where they provide each other with free stuff to help each other survive, sometimes doing some barter perhaps but mostly just everyone bringing their surplus. Now imagine the lord of the domain, who is the source of these peasants' immiseration, goes to this market secretly & takes some berries, which he uses as one ingredient in delicious tarts that he then sells for profit. But then the berry-bringer stops showing up to the free market, or starts bringing a different kind of fruit, or even ends up bringing rotten berries by accident. And the lord complains "I have a supply chain problem!" Like, fuck off dude! Your problem is that you *didn't* want to build a supply chain and instead thought you would build your profit-focused business in other people's free stuff. If you were paying the berry-picker, you'd have a supply chain problem, but you weren't, so you really have an "I want more free stuff" problem when you can't be arsed to give away your own stuff for free.
There can be all sorts of problems in the really-free-market, like maybe not enough people bring socks, so the peasants who can't afford socks are going barefoot, and having foot problems, and the peasants put their heads together and see if they can convince someone to start bringing socks, and maybe they can't and things are a bit sad, but the really-free-market was never supposed to solve everyone's problems 100% when they're all still being squeezed dry by their taxes: until they are able to get free of the lord & start building a lovely anarchist society, the really-free-market is a best-effort kind of deal that aims to make things better, and sometimes will fall short. When it becomes the main way goods in society are distributed, and when the people who contribute aren't constantly drained by the feudal yoke, at that point the availability of particular goods is a real problem that needs to be solved, but at that point, it's also much easier to solve. And at *no* point does someone coming into the market to take stuff only to turn around and sell it deserve anything from the market or those contributing to it. They are not a supply chain. They're trying to help each other out, but even then they're doing so freely and without obligation. They might discuss amongst themselves how to better coordinate their mutual aid, but they're not going to end up forcing anyone to bring anything or even expecting that a certain person contribute a certain amount, since the whole point is that the thing is voluntary & free, and they've all got changing life circumstances that affect their contributions. Celebrate whatever shows up at the market, express your desire for things that would be useful, but don't impose a burden on anyone else to bring a specific thing, because otherwise it's fair for them to oppose such a burden on you, and now you two are doing your own barter thing that's outside the parameters of the really-free-market.

Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation
Quoc Thinh Vo, Joe Woods, Priontu Chowdhury, David K. Han
https://arxiv.org/abs/2506.17409

Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation
Localizing acoustic sound sources in the ocean is a challenging task due to the complex and dynamic nature of the environment. Factors such as high background noise, irregular underwater geometries, and varying acoustic properties make accurate localization difficult. To address these obstacles, we propose a multi-branch network architecture designed to accurately predict the distance between a moving acoustic source and a receiver, tested on real-world underwater signal arrays. The network lev…

CyberArmor has a post up detailing abuse of the Vercel app development platform. Vercel is a legit tool that allows for the rapid creation of web applications. They have a free tier and unfortunately it gets abused. The free tier apps use the domain pattern *.vercel.app. I recommend blocking this domain and only allowing access to vetted sites using this domain name. Note that commercial sites using the Vercel platform will have their own domain names so your potential for collateral damage …

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
Eunhyuk Park, Seok-Hwan Park, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
https://arxiv.org/abs/2506.19090

SIM-Enabled Hybrid Digital-Wave Beamforming for Fronthaul-Constrained Cell-Free Massive MIMO Systems
As the dense deployment of access points (APs) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems presents significant challenges, per-AP coverage can be expanded using large-scale antenna arrays (LAAs). However, this approach incurs high implementation costs and substantial fronthaul demands due to the need for dedicated RF chains for all antennas. To address these challenges, we propose a hybrid beamforming framework that integrates wave-domain beamforming via stacked inte…

The Case for a Horizontal Federated AI operating System for Telcos
Sebastian Barros
https://arxiv.org/abs/2506.17259 https://arxiv.or…

The Case for a Horizontal Federated AI operating System for Telcos
As artificial intelligence capabilities rapidly advance, Telco operators face a growing need to unify fragmented AI efforts across customer experience, network operations, and service orchestration. This paper proposes the design and deployment of a horizontal federated AI operating system tailored for the telecommunications domain. Unlike vertical vendor-driven platforms, this system acts as a common execution and coordination layer, enabling Telcos to deploy AI agents at scale while preservin…

Anisotropic approximation on space-time domains
Pedro Morin, Cornelia Schneider, Nick Schneider
https://arxiv.org/abs/2506.19517 https://

Anisotropic approximation on space-time domains
We investigate anisotropic (piecewise) polynomial approximation of functions in Lebesgue spaces as well as anisotropic Besov spaces. For this purpose we study temporal and spacial moduli of smoothness and their properties. In particular, we prove Jackson- and Whitney-type inequalities on Lipschitz cylinders, i.e., space-time domains $I\times D$ with a finite interval $I$ and a bounded Lipschitz domain $D\subset \R^d$, $d\in \N$. As an application, we prove a direct estimate result for adaptive …

Peering into the heart of darkness with VLBA : Radio Quiet AGN in the JWST North Ecliptic Pole Time-Domain Field
Payaswini Saikia, Ramon Wrzosek, Joseph Gelfand, Walter Brisken, William Cotton, S. P. Willner, Hansung B. Gim, Rogier A. Windhorst, Vicente Estrada-Carpenter, Ivan Yu. Katkov, Ingyin Zaw, Michael Rosenthal, Hanaan Shafi, Kenneth Kellermann, James Condon, Anton M. Koekemoer, Christopher J. Conselice, Rafael Ortiz III, Christopher N. A. Willmer, Brenda Frye, Norman A. Grogin,…

Peering into the heart of darkness with VLBA : Radio Quiet AGN in the JWST North Ecliptic Pole Time-Domain Field
We present initial results from the 4.8 GHz Very Long Baseline Array (VLBA) survey of the JWST North Ecliptic Pole Time-Domain Field (TDF). From 106 radio sources found in the Karl G. Jansky Very Large Array observations in the TDF, we detected 12 sources (11% detection rate) at 3.3 $μ$Jy rms sensitivity and 4 mas resolution. Most detections exhibit pc-scale emission (less than 40 pc) with high VLBA/VLA flux density ratios and brightness temperatures exceeding 10$^5$ K, confirming non-thermal …

A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures
Dirk Van Essendelft, Patrick Wingo, Terry Jordan, Ryan Smith, Wissam Saidi
https://arxiv.org/abs/2506.15875

A System Level Compiler for Massively-Parallel, Spatial, Dataflow Architectures
We have developed a novel compiler called the Multiple-Architecture Compiler for Advanced Computing Hardware (MACH) designed specifically for massively-parallel, spatial, dataflow architectures like the Wafer Scale Engine. Additionally, MACH can execute code on traditional unified-memory devices. MACH addresses the complexities in compiling for spatial architectures through a conceptual Virtual Machine, a flexible domain-specific language, and a compiler that can lower high-level languages to m…

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
Narasimha Raghavan Veeraragavan, Jan Franz Nyg{\aa}rd
https://arxiv.org/abs/2506.20000

Can One Safety Loop Guard Them All? Agentic Guard Rails for Federated Computing
We propose Guardian-FC, a novel two-layer framework for privacy preserving federated computing that unifies safety enforcement across diverse privacy preserving mechanisms, including cryptographic back-ends like fully homomorphic encryption (FHE) and multiparty computation (MPC), as well as statistical techniques such as differential privacy (DP). Guardian-FC decouples guard-rails from privacy mechanisms by executing plug-ins (modular computation units), written in a backend-neutral, domain-spe…

The whole debacle about AI and copyright is very interesting. It sucks that AI risks affecting the income of a lot of people, especially in the Arts domain. But what we currently call AI is just the start of what, long term, has the potential to change our lives not unlike the internet did.

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

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

Doing a more extensive SI/PI workup on the switch line card in preparation for a) a blog update on the switch project and b) getting all my I's dotted and T's crossed before spending a lot of money stuffing three more boards and ordering the logic board.
Here's the 2.5V rail, putting out a bit over 2A at 2.5V. Ripple is dominated by ~300 kHz switching noise plus some harmonics of the 125 MHz PHY symbol rate (which makes sense this rail is driving the PHY PAM5 transceivers a…

Galton-Watson processes, simple varieties of trees and Khinchin families
V\'ictor J. Maci\'a
https://arxiv.org/abs/2506.18370 https://

Galton-Watson processes, simple varieties of trees and Khinchin families
In this note, we introduce a unified analytic framework that connects simple varieties of trees, Bienayme-Galton-Watson processes and Khinchin families. Using Lagrange's inversion formula, we derive new coefficient-based expressions for extinction probabilities and reinterpret them as boundary phenomena tied to the domain of the inverse of the solution to Lagrange's equation. This perspective reveals a structural bridge between combinatorial and probabilistic models, simplifying classical argum…

Heute vor 57 Jahren: Am 25. Juni 1968 zündeten die USA im Rahmen von Operation #Crosstie die 55. #Atombombe "Sevilla". Crosstie war eine Serie von Tests zwischen 67/68 bei der insgesamt 48 #Kernwaffentests

2D Su-Schrieffer-Heeger Model with static domain walls and quasiperiodic disorder
Surajit Mandal, Satyaki Kar
https://arxiv.org/abs/2506.17786 https://

2D Su-Schrieffer-Heeger Model with static domain walls and quasiperiodic disorder
We revisit the problem of a two dimensional Su-Schrieffer-Heeger (SSH) model on a square lattice to first minutely analyze its spectra including zero energy states (ZES) and in-gap states both under periodic and open boundaries. Thereafter, a series of antiphase domain walls (DW), distributed along two orthogonal lines, are introduced in the lattice with SSH like hoppings and this causes the ZES to localize not only at the corners but also at the intersection of the lines of domain walls. In-ga…

Analyzing partially-polarized light with a photonic deep random neural network
Alessandro Petrini, Claudio Conti, Davide Pierangeli
https://arxiv.org/abs/2506.17952

Analyzing partially-polarized light with a photonic deep random neural network
Optical neural networks are emerging as a powerful and versatile tool for processing optical signals directly in the optical domain with superior speed, integrability, and functionality. Their application to optical polarization enables neuromorphic polarization sensors, but their operation is limited to fully-polarized light. Here, we demonstrate single-shot analysis of partially-polarized beams with a photonic random neural network (PRNN). The PRNN is composed of a series of optical layers im…

First moments of a polyhedron clipped by a quadratic cylinder
Valentin Wasquel, Fabien Evrard
https://arxiv.org/abs/2506.18811 https://

First moments of a polyhedron clipped by a quadratic cylinder
This manuscript extends previous work by Evrard et al. [arXiv:2210.07772] on calculating the geometric moments of the intersection between a polyhedron and the domain bounded by a quadratic surface. Specifically, we derive new closed-form expressions for the first geometric moments (i.e., the volume and volume-weighted centroid) of a polyhedron intersecting the interior of an infinite quadratic cylinder, following the same methodology of successive applications of the divergence theorem as in […

"We think of generating source code from a prompt as an AI-powered feature of modern IDEs, but the general problem has a rich history in research efforts and domain-specific programming systems." Join William Benton at this year's Berlin Buzzwords to hear him talk about the history of program synthesis, its relationship to the history of AI, and the lessons we can learn from it today.
Learn more:

Generalized Eshelby's inclusion and inhomogeneity problems for transient heat transfer
Chunlin Wu, Zhenhua Wei, Huiming Yin
https://arxiv.org/abs/2506.16498

Generalized Eshelby's inclusion and inhomogeneity problems for transient heat transfer
Eshelby's problems have been generalized to arbitrary shape of polygonal, polyhedral, and ellipsoidal inclusions embedded in an infinite isotropic domain under transient heat transfer, and Eshelby's tensors have been analytically derived to evaluate disturbed thermal fields caused by inclusions with a polynomial-form eigen-fields. Transformed coordinates are applied to arbitrarily shaped inclusions for domain integrals of transient fundamental solutions. This formulation is for general transien…

Ahlfors-regularity for minimizers of a multiphase optimal design problem
Luca Esposito, Lorenzo Lamberti, Giovanni Pisante
https://arxiv.org/abs/2506.15861

Ahlfors-regularity for minimizers of a multiphase optimal design problem
We establish an Alhfors-regularity result for minimizers of a multiphase optimal design problem. It is a variant of the classical variational problem which involves a finite number of chambers $\mathcal{E}(i)$ of prescribed volume that partition a given domain $Ω\subset\mathbb{R}^n$. The cost functional associated with a configuration $\left(\{\mathcal{E}(i)\}_i,u\right)$ is made up of the perimeter of the partition interfaces and a Dirichlet energy term, which is discontinuous across the inte…

Characterization of Higher-Order Sobolev Spaces on the Sphere via Generalized Averaging of Function
Ikhsan Maulidi, Hiroshi Ohtsuka
https://arxiv.org/abs/2506.17736

Characterization of Higher-Order Sobolev Spaces on the Sphere via Generalized Averaging of Function
We present a new characterization of higher-order Sobolev spaces on the sphere. Building on the approach of Barceló et al. (2020), we refine the square function they introduced for this purpose. In particular, we provide a detailed analysis of the weight function and the averaging range in its definition. Our results demonstrate that averaging can be performed using a weight function from a broad class, and that the averaging domain can be restricted to a local coordinate patch on the sphere.

High resolution radio observations of the Chamaeleon star-forming region
Ernesto Garc\'ia Valencia, Laurent Loinard, Arnaud Belloche, Gisela N. Ortiz Le\'on, Sergio A. Dzib, Cherie K. Day, Roopesh Ojha
https://arxiv.org/abs/2506.15927

High resolution radio observations of the Chamaeleon star-forming region
We report on large-scale radio observations of the Chamaeleon star-forming region obtained with the Australia Telescope Compact Array (ATCA) that led to the definite detection of five young stars and the tentative detection of five more. As in other regions surveyed in the radio domain, the majority of detected sources are fairly evolved low-mass T Tauri stars, but we also detect one protostellar object (Ced 110 IRS4) and one Herbig Ae/Be star. With the exception of the protostellar source, the…

Pre-training Time Series Models with Stock Data Customization
Mengyu Wang, Tiejun Ma, Shay B. Cohen
https://arxiv.org/abs/2506.16746 https://

Pre-training Time Series Models with Stock Data Customization
Stock selection, which aims to predict stock prices and identify the most profitable ones, is a crucial task in finance. While existing methods primarily focus on developing model structures and building graphs for improved selection, pre-training strategies remain underexplored in this domain. Current stock series pre-training follows methods from other areas without adapting to the unique characteristics of financial data, particularly overlooking stock-specific contextual information and the…

Essential Self-Adjointness of the Geometric Deformation Operator on a Compact Interval
Anton Alexa
https://arxiv.org/abs/2506.18914 https://

Essential Self-Adjointness of the Geometric Deformation Operator on a Compact Interval
We define a second-order differential operator $\hat{C}$ on the Hilbert space $L^2([-v_c, v_c])$, constructed from a smooth deformation function $C(v)$. The operator is considered on the Sobolev domain $H^2([-v_c, v_c]) \cap H^1_0([-v_c, v_c])$ with Dirichlet boundary conditions. We prove that $\hat{C}$ is essentially self-adjoint by verifying its symmetry and computing von Neumann deficiency indices, which vanish. All steps are carried out explicitly. This result ensures the mathematical consi…

Bidder Feedback in First-Price Auctions for Video Advertising
S\'ebastien Lahaie, Benjamin Schaeffer, Yuanjun Zhou
https://arxiv.org/abs/2506.17058 htt…

Bidder Feedback in First-Price Auctions for Video Advertising
In first-price auctions for display advertising, exchanges typically communicate the "minimum-bid-to-win" to bidders after the auction as feedback for their bidding algorithms. For a winner, this is the second-highest bid, while for losing bidders it is the highest bid. In this paper we investigate the generalization of this concept to general combinatorial auctions, motivated by the domain of video advertising. In a video pod auction, ad slots during an advertising break in a video stream are …

Partition function for several Ising model interface structures
Alessio Squarcini, Piotr Nowakowski, Douglas B. Abraham, Anna Macio{\l}ek
https://arxiv.org/abs/2506.17170

Partition function for several Ising model interface structures
We employ a procedure that enables us to calculate the excess free energies for a finite Ising cylinder with domain walls analytically. This procedure transparently covers all possible configurations of the domain walls under given boundary conditions and allows for a physical interpretation in terms of coarse-grained quantities such as surface and point tensions. The resulting integrals contain all the information about finite-size effects; we extract them by careful asymptotic analysis using …

Neural Cellular Automata for ARC-AGI
Kevin Xu, Risto Miikkulainen
https://arxiv.org/abs/2506.15746 https://arxiv.org/pdf/2506.15746…

Neural Cellular Automata for ARC-AGI
Cellular automata and their differentiable counterparts, Neural Cellular Automata (NCA), are highly expressive and capable of surprisingly complex behaviors. This paper explores how NCAs perform when applied to tasks requiring precise transformations and few-shot generalization, using the Abstraction and Reasoning Corpus for Artificial General Intelligence (ARC-AGI) as a domain that challenges their capabilities in ways not previously explored. Specifically, this paper uses gradient-based train…

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
Shuo Yan, Ruochen Li, Ziming Luo, Zimu Wang, Daoyang Li, Liqiang Jing, Kaiyu He, Peilin Wu, George Michalopoulos, Yue Zhang, Ziyang Zhang, Mian Zhang, Zhiyu Chen, Xinya Du
https://arxiv.org/abs/2506.17335…

LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
Large language model (LLM) agents have demonstrated remarkable potential in advancing scientific discovery. However, their capability in the fundamental yet crucial task of reproducing code from research papers, especially in the NLP domain, remains underexplored. This task includes unique complex reasoning challenges in the intellectual synthesis of abstract concepts and the comprehension of code repositories with interdependent files. Motivated by this gap, we present LMR-BENCH, a benchmark d…

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer
Runkai Zhang, Hua Yu, John Q. Gan, Haixian Wang
https://arxiv.org/abs/2506.17068

Cross-Modal Epileptic Signal Harmonization: Frequency Domain Mapping Quantization for Pre-training a Unified Neurophysiological Transformer
Scalp electroencephalography (EEG) and intracranial EEG (iEEG) are vital for epilepsy diagnosis and treatment. Their unified analysis offers the potential to harness the complementary strengths of each modality but is challenging due to variations in recording montages, amplitude and signal-to-noise ratio (SNR), and frequency components. To address the aforementioned challenges, this paper introduces EpiNT, a novel Transformer-based pre-trained model for unified EEG and iEEG analysis. EpiNT emp…

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Haoneng Lin, Cheng Xu, Jing Qin
https://arxiv.org/abs/2506.18378 https://

Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
Modern Vision-Language Models (VLMs) exhibit unprecedented capabilities in cross-modal semantic understanding between visual and textual modalities. Given the intrinsic need for multi-modal integration in clinical applications, VLMs have emerged as a promising solution for a wide range of medical image analysis tasks. However, adapting general-purpose VLMs to medical domain poses numerous challenges, such as large domain gaps, complicated pathological variations, and diversity and uniqueness of…

Heute vor 59 Jahren: Am 25. Juni 1966 zündeten die USA im Rahmen von Operation #Flintlock die 48. #Atombombe "Vulcan". Flintlock war eine Serie von Tests zwischen 65/66 bei der insgesamt 47 #Kernwaffentests

An improvement toward global boundedness in a fully parabolic chemotaxis with singular sensitivity in any dimension
Minh Le
https://arxiv.org/abs/2506.19318

An improvement toward global boundedness in a fully parabolic chemotaxis with singular sensitivity in any dimension
We are concerned with the following chemotaxis system \begin{equation*} \begin{cases} u_t = Δu -χ\nabla \cdot \left ( \frac{u}{v} \nabla v\right ), v_t = Δv -u+ v, \end{cases} \end{equation*} in an open bounded domain with smooth boundary $Ω\subset \mathbb{R}^n$ with $n \geq 3$. It is known that solutions are globally bounded when $0<χ< \sqrt{ \frac{2}{n}}$. In this paper, by considering the following energy functional \begin{align*} F_λ(u,v)= \int_Ω\frac{u^p}{v^r} + λ\int_Ω\…

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
Mahmoud Amiri, Thomas Bocklitz
https://arxiv.org/abs/2506.17277

Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) systems are increasingly vital for navigating the ever-expanding body of scientific literature, particularly in high-stakes domains such as chemistry. Despite the promise of RAG, foundational design choices -- such as how documents are segmented and represented -- remain underexplored in domain-specific contexts. This study presents the first large-scale, systematic evaluation of chunking strategies and embedding models tailored to chemistry-focused RAG syst…

USAD: Universal Speech and Audio Representation via Distillation
Heng-Jui Chang, Saurabhchand Bhati, James Glass, Alexander H. Liu
https://arxiv.org/abs/2506.18843

USAD: Universal Speech and Audio Representation via Distillation
Self-supervised learning (SSL) has revolutionized audio representations, yet models often remain domain-specific, focusing on either speech or non-speech tasks. In this work, we present Universal Speech and Audio Distillation (USAD), a unified approach to audio representation learning that integrates diverse audio types - speech, sound, and music - into a single model. USAD employs efficient layer-to-layer distillation from domain-specific SSL models to train a student on a comprehensive audio …

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Kathleen C. Fraser, Hillary Dawkins, Isar Nejadgholi, Svetlana Kiritchenko
https://arxiv.org/abs/2506.17209

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency
Fine-tuning a general-purpose large language model (LLM) for a specific domain or task has become a routine procedure for ordinary users. However, fine-tuning is known to remove the safety alignment features of the model, even when the fine-tuning data does not contain any harmful content. We consider this to be a critical failure mode of LLMs due to the widespread uptake of fine-tuning, combined with the benign nature of the "attack". Most well-intentioned developers are likely unaware that th…

Heute vor 16 Jahren: Am 25. Mai 2009 führte #Nordkorea seinen 2. #Atomtest durch. Die Explosion hatte etwa ein Drittel der Sprengkraft der Hiroshima-Bombe mit einer geschätzten Stärke von 2,35 Kilotonnen. Der Test löste weltweite Verurteilungen und schärfere UN-Sanktionen aus.

Semantic Scaffolding: Augmenting Textual Structures with Domain-Specific Groupings for Accessible Data Exploration
Jonathan Zong, Isabella Pedraza Pineros, Mengzhu Katie Chen, Daniel Hajas, Arvind Satyanarayan
https://arxiv.org/abs/2506.15883

Semantic Scaffolding: Augmenting Textual Structures with Domain-Specific Groupings for Accessible Data Exploration
Drawing connections between interesting groupings of data and their real-world meaning is an important, yet difficult, part of encountering a new dataset. A lay reader might see an interesting visual pattern in a chart but lack the domain expertise to explain its meaning. Or, a reader might be familiar with a real-world concept but struggle to express it in terms of a dataset's fields. In response, we developed semantic scaffolding, a technique for using domain-specific information from large l…

SDDiff: Boost Radar Perception via Spatial-Doppler Diffusion
Shengpeng Wang, Xin Luo, Yulong Xie, Wei Wang
https://arxiv.org/abs/2506.16936 https://…

SDDiff: Boost Radar Perception via Spatial-Doppler Diffusion
Point cloud extraction (PCE) and ego velocity estimation (EVE) are key capabilities gaining attention in 3D radar perception. However, existing work typically treats these two tasks independently, which may neglect the interplay between radar's spatial and Doppler domain features, potentially introducing additional bias. In this paper, we observe an underlying correlation between 3D points and ego velocity, which offers reciprocal benefits for PCE and EVE. To fully unlock such inspiring potenti…

Massless monopole-string-domain wall fermions and polyhedral vacuum fermions
Minoru Eto, Yuito Suzuki
https://arxiv.org/abs/2506.16765 https://

Massless monopole-string-domain wall fermions and polyhedral vacuum fermions
Fermion zero modes of Bogomol'nyi-Prasad-Sommerfield monopole-string-domain wall composites in three spatial dimensions are studied. We analytically solve the Dirac equation and prove the existence of one fermion zero mode. Depending on mass parameters of bosons/fermions in the model, the zero modes are localized either on the monopoles, strings or domain walls, which we call monopole-string-domain wall fermions. We also show that in special cases, the zero modes can be confined within a finite…

Log-concavity and anti-maximum principles for semilinear and linear elliptic equations
Fran\c{c}ois Hamel (I2M), Nikolai Nadirashvili (I2M)
https://arxiv.org/abs/2506.20250

Log-concavity and anti-maximum principles for semilinear and linear elliptic equations
This paper is concerned with existence and qualitative properties of positive solutions of semilinear elliptic equations in bounded domains with Dirichlet boundary conditions. We show the existence of positive solutions in the vicinity of the linear equation and the log-concavity of the solutions when the domain is strictly convex. We also review the standard results on the log-concavity or the more general quasi-concavity of solutions of elliptic equations. The existence and other convergence …

I think that "chatbot" is a bad design paradigm for most problems. It's actually the refusal to to design work.
https://tante.cc/2025/06/19/chatbot-is-bad-design/

"ChatBot" is bad design
As anyone who has every seen anything I created knows: I am not a designer. So take my reasoning and thinking here with a grain of salt. I do have many designers amongst my friends and I do think that a lot of software engineering falls within the domain of design to a certain degree. […]

Heute vor 72 Jahren: Am 25. Mai 1953 führten die #USA den #Atomwaffentest Upshot-Knothole Grable durch. Die Detonation der W9-Sprengkopfs erfolgte 19 Sekunden nach Auslösung um 8:30 Uhr PDT im Bereich 5 des Nevada-Testgeländes.

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Nasser-Eddine Monir, Paul Magron, Romain Serizel
https://arxiv.org/abs/2506.18714

Frequency-Weighted Training Losses for Phoneme-Level DNN-based Speech Enhancement
Recent advances in deep learning have significantly improved multichannel speech enhancement algorithms, yet conventional training loss functions such as the scale-invariant signal-to-distortion ratio (SDR) may fail to preserve fine-grained spectral cues essential for phoneme intelligibility. In this work, we propose perceptually-informed variants of the SDR loss, formulated in the time-frequency domain and modulated by frequency-dependent weighting schemes. These weights are designed to emphas…

Heute vor 72 Jahren: Am 25. Mai 1953 wurde im Rahmen der Upshot-Knothole-Testserie die #Atomkanone M65, auch bekannt als Atomic Annie, auf dem Nevada Testgelände erfolgreich getestet. Dieses US Artilleriegeschütz feuerte als erstes und einziges eine nukleare Granate ab.

This https://arxiv.org/abs/2504.02966 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On deformation of perfectoid purity in Gorenstein domains
If $(R,\mathfrak{m})$ is a complete local ring of mixed characteristic $(0,p)$ and $R/pR$ is an $F$-pure Gorenstein domain, we find a sufficient condition for $R$ to be perfectoid pure. This condition is related to the Cohen-Macaulayness of the absolute integral closures of Gorenstein local domains of mixed characteristic which are not necessarily excellent. Along the way, we show that the problem of lifting $F$-purity of $R/pR$ to perfectoid purity of $R$ is equivalent to a similar deformation…

Simultaneous recovery of corroded boundaries and admittance using the Kohn-Vogelius method
Moustapha Essahraoui, Elmehdi Cherrat, Lekbir Afraites, Julius Fergy Tiongson Rabago
https://arxiv.org/abs/2506.17938

Simultaneous recovery of corroded boundaries and admittance using the Kohn-Vogelius method
We address the problem of identifying an unknown portion $Γ$ of the boundary of a $d$-dimensional ($d \in \{1, 2\}$) domain $Ω$ and its associated Robin admittance coefficient, using two sets of boundary Cauchy data $(f, g)$--representing boundary temperature and heat flux--measured on the accessible portion $Σ$ of the boundary. Identifiability results \cite{Bacchelli2009,PaganiPierotti2009} indicate that a single measurement on $Σ$ is insufficient to uniquely determine both $Γ$ and $α$, …

Experimental Setup and Software Pipeline to Evaluate Optimization based Autonomous Multi-Robot Search Algorithms
Aditya Bhatt, Mary Katherine Corra, Franklin Merlo, Prajit KrisshnaKumar, Souma Chowdhury
https://arxiv.org/abs/2506.16710

Experimental Setup and Software Pipeline to Evaluate Optimization based Autonomous Multi-Robot Search Algorithms
Signal source localization has been a problem of interest in the multi-robot systems domain given its applications in search \& rescue and hazard localization in various industrial and outdoor settings. A variety of multi-robot search algorithms exist that usually formulate and solve the associated autonomous motion planning problem as a heuristic model-free or belief model-based optimization process. Most of these algorithms however remains tested only in simulation, thereby losing the opportu…

D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
Sanuwani Dayarathna, Himashi Peiris, Kh Tohidul Islam, Tien-Tsin Wong, Zhaolin Chen
https://arxiv.org/abs/2506.15750

D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI Synthesis
Multi contrast MRI synthesis is inherently challenging due to the complex and nonlinear relationships among different contrasts. Each MRI contrast highlights unique tissue properties, but their complementary information is difficult to exploit due to variations in intensity distributions and contrast specific textures. Existing methods for multi contrast MRI synthesis primarily utilize spatial domain features, which capture localized anatomical structures but struggle to model global intensity …

Holographic Baryons as Quantum Hall Droplets
Francesco Bigazzi, Aldo Lorenzo Cotrone, Andrea Olzi, Jean-Loup Raymond
https://arxiv.org/abs/2506.16205 https…

Holographic Baryons as Quantum Hall Droplets
We provide a first-principle construction of baryons as quantum Hall droplets in single-flavor holographic QCD. The baryons are described as charged D6-branes with a circular boundary on a flavor D8-brane in the Type IIA backgrounds dual to the confining and non-confining phases. The holographic description allows us to calculate precisely their properties, such as mass and size. We also consider other objects with baryonic charge, such as vortons, domain walls with holes, and "sandwich vortons…

Multi-Domain Optimization Framework for ISAC: From Electromagnetic Shaping to Network Cooperation
Rang Liu, Ming Li, Mehdi Zafari, Bjorn Ottersten, A. Lee Swindlehurst
https://arxiv.org/abs/2506.16011

Multi-Domain Optimization Framework for ISAC: From Electromagnetic Shaping to Network Cooperation
Integrated sensing and communication (ISAC) has emerged as a key feature for sixth-generation (6G) networks, providing an opportunity to meet the dual demands of communication and sensing. Existing ISAC research primarily focuses on baseband optimization at individual access points, with limited attention to the roles of electromagnetic (EM) shaping and network-wide coordination. The intricate interdependencies between these domains remain insufficiently explored, leaving their full potential f…

Local feature filtering for scalable and well-conditioned Random Feature Methods
Jan Willem van Beek, Victorita Dolean, Ben Moseley
https://arxiv.org/abs/2506.17626

Local feature filtering for scalable and well-conditioned Random Feature Methods
In recent years, machine learning has emerged as a powerful tool for solving partial differential equations (PDEs), with randomized neural networks showing remarkable potential. These networks, typically shallow, differ from conventional approaches by randomizing all parameters except those in the final layer. Notably, by integrating techniques inspired by domain decomposition, they achieve improved local accuracy and computational efficiency. Following \cite{chen:2022:BTM}, we refer to these a…

This https://arxiv.org/abs/2504.02966 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On deformation of perfectoid purity in Gorenstein domains
If $(R,\mathfrak{m})$ is a complete local ring of mixed characteristic $(0,p)$ and $R/pR$ is an $F$-pure Gorenstein domain, we find a sufficient condition for $R$ to be perfectoid pure. This condition is related to the Cohen-Macaulayness of the absolute integral closures of Gorenstein local domains of mixed characteristic which are not necessarily excellent. Along the way, we show that the problem of lifting $F$-purity of $R/pR$ to perfectoid purity of $R$ is equivalent to a similar deformation…

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Fang Chen, Weifeng Zhang, Xingyu Ai, BingXuan Li, An Li, Qiegen Liu
https://arxiv.org/abs/2506.16733

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Positron emission tomography (PET) is widely used to assess metabolic activity, but its application is limited by the availability of radiotracers. 18F-labeled fluorodeoxyglucose (18F-FDG) is the most commonly used tracer but shows limited effectiveness for certain tumors. In contrast, 6-18F-fluoro-3,4-dihydroxy-L-phenylalanine (18F-DOPA) offers higher specificity for neuroendocrine tumors and neurological disorders. However, its complex synthesis and limitations in transportation and clinical …

Fast solution of a phase-field model of pitting corrosion
Gianluca Frasca-Caccia, Dajana Conte, Beatrice Paternoster
https://arxiv.org/abs/2506.18058 https…

Fast solution of a phase-field model of pitting corrosion
Excessive computational times represent a major challenge in the solution of corrosion models, limiting their practical applicability, e.g., as a support to predictive maintenance. In this paper, we propose an efficient strategy for solving a phase-field model for metal corrosion. Based on the Kronecker structure of the diffusion matrix in classical finite difference approximations on rectangular domains, time-stepping IMEX methods are efficiently solve in matrix form. However, when the domain …

Diffusion-free boundary conditions for the Navier-Stokes equations
Emmanuel Dormy, David Gerard-Varet
https://arxiv.org/abs/2506.17749 https://

Diffusion-free boundary conditions for the Navier-Stokes equations
We provide a mathematical analysis of the `diffusion-free' boundary conditions recently introduced by Lin and Kerswell for the numerical treatment of inertial waves in a fluid contained in a rotating sphere. We consider here the full setting of the nonlinear Navier-Stokes equation in a general bounded domain $Ω$ of $\mathbb{R}^d$, $d=2$ or $3$. We show that diffusion-free boundary conditions $$ Δu \cdot τ\vert_{\partial Ω} = 0, \quad u \cdot n\vert_{\partial Ω} = 0 \quad \text{ when } d=2,…

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis
Jiale Liu, Dandan Peng, Huan Wang, Chenyu Liu, Yan-Fu Li, Min Xie
https://arxiv.org/abs/2506.16225

AeroGPT: Leveraging Large-Scale Audio Model for Aero-Engine Bearing Fault Diagnosis
Aerospace engines, as critical components in aviation and aerospace industries, require continuous and accurate fault diagnosis to ensure operational safety and prevent catastrophic failures. While deep learning techniques have been extensively studied in this context, they output logits or confidence scores, necessitating post-processing to derive actionable insights. Furthermore, the potential of large-scale audio models in this domain remains largely untapped. To address these limitations, t…

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
Ignacio Hern\'andez Montilla, Alfonso Medela, Paola Pasquali, Andy Aguilar, Taig Mac Carthy, Gerardo Fern\'andez, Antonio Martorell, Enrique Onieva
https://arxiv.org/abs/2506.16116

Enhanced Dermatology Image Quality Assessment via Cross-Domain Training
Teledermatology has become a widely accepted communication method in daily clinical practice, enabling remote care while showing strong agreement with in-person visits. Poor image quality remains an unsolved problem in teledermatology and is a major concern to practitioners, as bad-quality images reduce the usefulness of the remote consultation process. However, research on Image Quality Assessment (IQA) in dermatology is sparse, and does not leverage the latest advances in non-dermatology IQA,…

AE-PINNs: Attention-enhanced physics-informed neural networks for solving elliptic interface problems
Jiachun Zheng, Yunqing Huang, Nianyu Yi
https://arxiv.org/abs/2506.18332

AE-PINNs: Attention-enhanced physics-informed neural networks for solving elliptic interface problems
Inspired by the attention mechanism, we develop an attention-enhanced physics-informed neural networks (AE-PINNs) for solving elliptic interface equations. In AE-PINNs, we decompose the solution into two complementary components: a continuous component and a component with discontinuities across the interface. The continuous component is approximated by a fully connected neural network in the whole domain, while the discontinuous component is approximated by an interface-attention neural networ…

Spectral asymptotics of pseudodifferential operators with discontinuous symbols
Alexey Derkach, Alexander V. Sobolev
https://arxiv.org/abs/2506.17426 https…

Spectral asymptotics of pseudodifferential operators with discontinuous symbols
We study discrete spectrum of self-adjoint Weyl pseudodifferential operators with discontinuous symbols of the form $1_Ωϕ$ where $1_Ω$ is the indicator of a domain in $Ω\subset\mathbb R^2$, and $ϕ\in C^\infty_0(\mathbb R^2)$ is a real-valued function. It was known that in general, the singular values $s_k$ of such an operator satisfy the bound $s_k = O(k^{-3/4})$, $k = 1, 2, \dots$. We show that if $Ω$ is a polygon, the singular values decrease as $O(k^{-1}\log k)$. In the case where $Ω$…

Lipschitz regularity of weakly coupled vectorial almost-minimizers for Alt-Caffarelli functionals in Orlicz spaces
Pedro Fellype Pontes, Jo\~ao Vitor da Silva, Minbo Yang
https://arxiv.org/abs/2506.17616

Lipschitz regularity of weakly coupled vectorial almost-minimizers for Alt-Caffarelli functionals in Orlicz spaces
For a fixed constant $λ> 0$ and a bounded Lipschitz domain $Ω\subset \mathbb{R}^n$ with $n \geq 2$, we establish that almost-minimizers (functions satisfying a sort of variational inequality) of the Alt-Caffarelli type functional \[ \mathcal{J}_G({\bf v};Ω) \coloneqq \int_Ω\left(\sum_{i=1}^mG\big(|\nabla v_i(x)|\big) + λχ_{\{|{\bf v}|>0\}}(x)\right) dx , \] where ${\bf v} = (v_1, \dots, v_m)$ and $m \in \mathbb{N}$, exhibit optimal Lipschitz continuity on compact subse…

General-domain FC-based shock-dynamics solver I: Basic elements
Oscar P. Bruno, Daniel V. Leibovici
https://arxiv.org/abs/2506.16076 https://

General-domain FC-based shock-dynamics solver I: Basic elements
This contribution, Part I in a two-part article series, presents a general-domain version of the FC-SDNN (Fourier Continuation Shock-detecting Neural Network) spectral scheme for the numerical solution of nonlinear conservation laws, which is applicable under arbitrary boundary conditions and in general domains. Like the previous simple-domain contribution (Journal of Computational Physics X 15, (2022)), the present approach relies on the use of the Fourier Continuation method for accurate spec…

Comparison of substructured non-overlapping domain decomposition and overlapping additive Schwarz methods for large-scale Helmholtz problems with multiple sources
Boris Martin, Pierre Jolivet, Christophe Geuzaine
https://arxiv.org/abs/2506.16875

Comparison of substructured non-overlapping domain decomposition and overlapping additive Schwarz methods for large-scale Helmholtz problems with multiple sources
Solving large-scale Helmholtz problems discretized with high-order finite elements is notoriously difficult, especially in 3D where direct factorization of the system matrix is very expensive and memory demanding, and robust convergence of iterative methods is difficult to obtain. Domain decomposition methods (DDM) constitute one of the most promising strategy so far, by combining direct and iterative approaches: using direct solvers on overlapping or non-overlapping subdomains, as a preconditi…