Tootfinder

Internet exploitation and abuse of children is a unique category of online crime and therefore cannot be used lightly by any side in debates around regulation of online privacy tools.
https://theprivacydad.com/privacy-tools-vs-online-child-exploitat…

Preconditioning: "And when you're a star, they let you do it. You can do anything."
Money is king, therefore he must be king, too? "Many general election ballots have already been printed, and it would be expensive to change them. It would be very difficult, if not impossible, to replace him as the Republican nominee."

Dense Video Captioning using Graph-based Sentence Summarization
Zhiwang Zhang, Dong Xu, Wanli Ouyang, Luping Zhou
https://arxiv.org/abs/2506.20583 https://…

Dense Video Captioning using Graph-based Sentence Summarization
Recently, dense video captioning has made attractive progress in detecting and captioning all events in a long untrimmed video. Despite promising results were achieved, most existing methods do not sufficiently explore the scene evolution within an event temporal proposal for captioning, and therefore perform less satisfactorily when the scenes and objects change over a relatively long proposal. To address this problem, we propose a graph-based partition-and-summarization (GPaS) framework for d…

A Hybrid Intrusion Detection System with a New Approach to Protect the Cybersecurity of Cloud Computing
Maryam Mahdi Al-Husseini
https://arxiv.org/abs/2506.19934

A Hybrid Intrusion Detection System with a New Approach to Protect the Cybersecurity of Cloud Computing
Cybersecurity is one of the foremost challenges facing the world of cloud computing. Recently, the widespread adoption of smart devices in cloud computing environments that provide Internet-based services has become prevalent. Therefore, it is essential to consider the security threats in these environments. The use of intrusion detection systems can mitigate the vulnerabilities of these systems. Furthermore, hybrid intrusion detection systems can provide better protection compared to conventio…

LARP: Learner-Agnostic Robust Data Prefiltering
Kristian Minchev, Dimitar Iliev Dimitrov, Nikola Konstantinov
https://arxiv.org/abs/2506.20573 https://

LARP: Learner-Agnostic Robust Data Prefiltering
The widespread availability of large public datasets is a key factor behind the recent successes of statistical inference and machine learning methods. However, these datasets often contain some low-quality or contaminated data, to which many learning procedures are sensitive. Therefore, the question of whether and how public datasets should be prefiltered to facilitate accurate downstream learning arises. On a technical level this requires the construction of principled data prefiltering metho…

Time-resolved p-mode oscillations for subgiant HD 142091 with NEID at WIYN
Jacob K. Luhn, Paul Robertson, Samuel Halverson, Arvind F. Gupta, Jared C. Siegel, Jason T. Wright, Eric B. Ford, Suvrath Mahadevan, Timothy R. Bedding, Jaime A. Alvarado-Montes, Chad F. Bender, Jiayin Dong, Fred Hearty, Sarah E. Logsdon, Andrew Monson, Michael W. McElwain, Joe P. Ninan, Jayadev Rajagopal, Arpita Roy, Christian Schwab, Gudmundur Stefansson, Daniel J. Stevens, Ryan C. Terrien, Sharon Xuesong Wang…

Time-resolved p-mode oscillations for subgiant HD 142091 with NEID at WIYN
Detections of Earth-analog planets in radial velocity observations are limited by stellar astrophysical variability occurring on a variety of timescales. Current state-of-the-art methods to disentangle potential planet signals from intrinsic stellar signals assume that stellar signals introduce asymmetries to the line profiles that can therefore be separated from the pure translational Doppler shifts of planets. Here, we examine this assumption using a time series of resolved stellar p-mode osc…

Marginally stable Schwarzschild-black-hole-non-minimally-coupled-Proca-field bound-state configurations
Shahar Hod
https://arxiv.org/abs/2506.19849 https:/…

Marginally stable Schwarzschild-black-hole-non-minimally-coupled-Proca-field bound-state configurations
It has recently been revealed that, in curved black-hole spacetimes, non-minimally coupled massive Proca fields may be characterized by the existence of poles in their linearized perturbation equations and may therefore develop exponentially growing instabilities. Interestingly, recent numerical computations [H. W. Chiang, S. Garcia-Saenz, and A. Sang, arXiv:2504.04779] have provided compelling evidence that the onset of monopole instabilities in the composed black-hole-field system is controll…

From High-SNR Radar Signal to ECG: A Transfer Learning Model with Cardio-Focusing Algorithm for Scenarios with Limited Data
Yuanyuan Zhang, Haocheng Zhao, Sijie Xiong, Rui Yang, Eng Gee Lim, Yutao Yue
https://arxiv.org/abs/2506.19358

From High-SNR Radar Signal to ECG: A Transfer Learning Model with Cardio-Focusing Algorithm for Scenarios with Limited Data
Electrocardiogram (ECG), as a crucial find-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the high-quality radar signal and numerous radar-ECG pairs for training, restricting the applications in new scenarios due to data scarcity. Therefore, this work will focus on radar-based ECG recovery in new scenarios with limited data and propose a cardio-focusing and -tracking (CFT) algorithm to precisely track the card…

Enhanced Fault Ride-Through Grid Forming with Transient Synchronisation Stability and Current Saturation
Youcefa Brahim Elkhalil, Nima Tashakor, Davood Keshavarzi, Ehsan Asadi, Stefan Goetz
https://arxiv.org/abs/2506.19444

Enhanced Fault Ride-Through Grid Forming with Transient Synchronisation Stability and Current Saturation
During grid faults, grid-forming converters are typically suggested to switch from a voltage-source to a current-source mode to limit the current and protect the electronics. This transition has the potential for the converter to transiently lose synchronization due to such current saturation. Therefore, this paper proposes an alternative current saturation algorithm to improve transient synchronization stability during mode switching. The algorithm is designed for grid-forming converters to me…

Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis
C. L\'eon, N. Brassard-Jollive, D. Gonzalez-Rodriguez, D. Riveline
https://arxiv.org/abs/2506.19966

Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis
At the end of the 19th century, Rayleigh and Plateau explained the physical principle behind the fragmentation of a liquid jet into regular droplets commonly observed in everyday life from a faucet. The classical Rayleigh-Plateau instability concerns liquid jets governed by inertia and surface tension, whereas biological tubes are membrane-bounded and inertia-free. We therefore refer to the process observed here as a pearling instability, formally analogous to Rayleigh-Plateau but dominated by …

This https://arxiv.org/abs/2402.13117 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCG_…

Faster, Deterministic and Space Efficient Subtrajectory Clustering
Given a trajectory $T$ and a distance $Δ$, we wish to find a set $C$ of curves of complexity at most $\ell$, such that we can cover $T$ with subcurves that each are within Fréchet distance $Δ$ to at least one curve in $C$. We call $C$ an $(\ell,Δ)$-clustering and aim to find an $(\ell,Δ)$-clustering of minimum cardinality. This problem variant was introduced by Akitaya $et$ $al.$ (2021) and shown to be NP-complete. The main focus has therefore been on bicriteria approximation algorithms, a…

Nucleosynthesis and the chemical enrichment of galaxies
Chiaki Kobayashi
https://arxiv.org/abs/2506.20436 https://arxiv.org/pdf/2506.…

Nucleosynthesis and the chemical enrichment of galaxies
Stars are fossils that retain the history of their host galaxies. Carbon and heavier elements are created inside stars and are ejected when they die. From the spatial distribution of elements in galaxies, it is therefore possible to constrain the physical processes during galaxy formation and evolution. This approach, Galactic archaeology, has been popularly used for our Milky Way Galaxy thanks to a vast amount of data from the Gaia satellite and multi-object spectrographs, and now can also be …

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…

Deep Learning Framework Testing via Model Mutation: How Far Are We?
Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Zhiyuan Peng, Peiran Yang, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen
https://arxiv.org/abs/2506.17638

Deep Learning Framework Testing via Model Mutation: How Far Are We?
Deep Learning (DL) frameworks are a fundamental component of DL development. Therefore, the detection of DL framework defects is important and challenging. As one of the most widely adopted DL testing techniques, model mutation has recently gained significant attention. In this study, we revisit the defect detection ability of existing mutation-based testing methods and investigate the factors that influence their effectiveness. To begin with, we reviewed existing methods and observed that many…

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
Pasquale De Rosa, Simon Queyrut, Y\'erom-David Bromberg, Pascal Felber, Valerio Schiavoni
https://arxiv.org/abs/2506.19480

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
The Ethereum Virtual Machine (EVM) is a decentralized computing engine. It enables the Ethereum blockchain to execute smart contracts and decentralized applications (dApps). The increasing adoption of Ethereum sparked the rise of phishing activities. Phishing attacks often target users through deceptive means, e.g., fake websites, wallet scams, or malicious smart contracts, aiming to steal sensitive information or funds. A timely detection of phishing activities in the EVM is therefore crucial …

Distinguishing Predictive and Generative AI in Regulation
Jennifer Wang, Andrew Selbst, Solon Barocas, Suresh Venkatasubramanian
https://arxiv.org/abs/2506.17347

Distinguishing Predictive and Generative AI in Regulation
Over the past decade, policymakers have developed a set of regulatory tools to ensure AI development aligns with key societal goals. Many of these tools were initially developed in response to concerns with predictive AI and therefore encode certain assumptions about the nature of AI systems and the utility of certain regulatory approaches. With the advent of generative AI, however, some of these assumptions no longer hold, even as policymakers attempt to maintain a single regulatory target tha…

Now for some theology. Since Eve was created by God from Adam's rib, she/he/they had a Y chromosome, therefore she/he/they was biologically male -- not just the first woman but also the fist trans. Her/his/their three children with Adam must have been created by cloning and thus were all male. Were it not for daughters born from Adam's affair with Lilith, the human species would have ended there, since when the couple left Eden they lost access to free health care including furthe…

Multimodal Medical Image Binding via Shared Text Embeddings
Yunhao Liu, Suyang Xi, Shiqi Liu, Hong Ding, Chicheng Jin, Chenxi Yang, Junjun He, Yiqing Shen
https://arxiv.org/abs/2506.18072

Multimodal Medical Image Binding via Shared Text Embeddings
Medical image analysis increasingly relies on the integration of multiple imaging modalities to capture complementary anatomical and functional information, enabling more accurate diagnosis and treatment planning. Achieving aligned feature representations across these diverse modalities is therefore important for effective multimodal analysis. While contrastive language-image pre-training (CLIP) and its variant have enabled image-text alignments, they require explicitly paired data between arbi…

Sonnet 082 - LXXXII
I grant thou wert not married to my Muse,
And therefore mayst without attaint o'erlook
The dedicated words which writers use
Of their fair subject, blessing every book.
Thou art as fair in knowledge as in hue,
Finding thy worth a limit past my praise;
And therefore art enforced to seek anew
Some fresher stamp of the time-bettering days.
And do so, love; yet when they have devis'd,
What strained touches rh…

Cluster Expansion Toward Nonlinear Modeling and Classification
Adrian Stroth, Claudia Draxl, Santiago Rigamonti
https://arxiv.org/abs/2506.18695 https://…

Cluster Expansion Toward Nonlinear Modeling and Classification
A quantitative first-principles description of complex substitutional materials like alloys is challenging due to the vast number of configurations and the high computational cost of solving the quantum-mechanical problem. Therefore, materials properties must be modeled. The Cluster Expansion (CE) method is widely used for this purpose, but it struggles with properties that exhibit non-linear dependencies on composition, often failing even in a qualitative description. By looking at CE through …

In general, the difference between a “to do list” and a “habit reminder” is the latter should remind you several times, almost annoyingly so, because if we need a reminder for a habit, it means we have not formed the habit yet, and therefore we are bad at getting around to doing it.
At least, my squiggly and chaotic brain believes so.

The role of magnetic fields in ram pressure stripping of satellite galaxies in the circumgalactic medium around massive galaxies
Thomas A. Rintoul (Cardiff), Freeke van de Voort (Cardiff), Andrew T. Hannington (Cardiff), R\"udiger Pakmor (MPA), Rebekka Bieri (Zurich), Maria Werhahn (MPA), Rosie Y. Talbot (MPA)
https://arxiv…

The role of magnetic fields in ram pressure stripping of satellite galaxies in the circumgalactic medium around massive galaxies
The presence of magnetic fields in galaxies and their haloes could have important consequences for satellite galaxies moving through the magnetised circumgalactic medium (CGM) of their host. We therefore study the effect of magnetic fields on ram pressure stripping of satellites in the CGM of massive galaxies. We use cosmological `zoom-in' simulations of three massive galaxy haloes ($M_{\rm{200c}} = 10^{12.5-13}$M$_\odot$), each simulated with and without magnetic fields. The fraction of gas re…

Last night (Fri night / Sat morning)I awoke at 01:30  with severe chest pains. I was convinced it must be a heart attack even though I’ve never had one and therefore really didn’t know.  I called 911 and woke Collette. EMTs and ambulance arrived within 5 min. Severe pain and severe shortness of breath. EKG was pretty normal.

The (No) Boundary Proposal and excited states in de Sitter holography
Marcelo Botta-Cantcheff, Facundo Lorenzo Cruz, Pedro J. Martinez
https://arxiv.org/abs/2506.16943

The (No) Boundary Proposal and excited states in de Sitter holography
In the AdS/CFT framework, vacuum and excited states are systematically described by imposing arbitrary Dirichlet boundary conditions at the AdS boundary. Furthermore, there are explicit relations connecting the quantum states to their corresponding dual Euclidean AdS geometries, in line with the Hartle-Hawking (HH) construction. The ground state therefore corresponds to the dominant saddle point under trivial conditions on the asymptotic boundary, which is the exact Euclidean AdS geometry. In c…

On the entropy of the massive conformal gravity universe
F. F. Faria
https://arxiv.org/abs/2505.17171 https://arxiv.org/pdf/2505.1717…

On the entropy of the massive conformal gravity universe
We find that the total entropy of the massive conformal gravity universe is an increasing function of time, and therefore the cosmological model of the theory passes the generalized second law of thermodynamics test.

Threshold Displacement Energies of Oxygen in YBa$_2$Cu$_3$O$_7$: A Multi-Physics Analysis
Ashley Dickson, Mark R. Gilbert, Duc Nguyen-Manh, Samuel T. Murphy
https://arxiv.org/abs/2506.17976

Threshold Displacement Energies of Oxygen in YBa$_2$Cu$_3$O$_7$: A Multi-Physics Analysis
Neutron bombardment of high temperature superconducting (HTS) magnets may compromise the integrity of the magnetic confinement in future fusion reactors. The amount of damage produced by a single neutron can be predicted from the threshold displacement energies (TDE) of the constituent ions in the HTS materials, such as the Rare Earth Cuperates. Therefore, in this work a Multiphysics simulation approach is adopted to determine the threshold displacement energies for oxygen in YBa2Cu3O7. Classic…

Three-phase contact line dynamics on moving fibers measured by X-ray holography
Louisa E. Kraft, Jens Lucht, Fiona Berner, Hannes P. Hoeppe, Tobias Eklund, Yizhi Liu, Markus Osterhoff, Fabian Westermeier, Wojciech Roseker, Tim Salditt, Hans-J\"urgen Butt, Katrin Amann-Winkel
https://arxiv.org/abs/2506.18665

Three-phase contact line dynamics on moving fibers measured by X-ray holography
Wetting of solid surfaces by a liquid is important for many natural and industrial processes such as printing, painting and coating. However, a quantitative description of the dynamic receding and advancing contact angle is still debated, in particular for aqueous solutions. One reason for our lack of quantitative understanding is the limited spatial resolution of currently used optical methods. We therefore present a new approach to access the sub-microscopic region. We use X-ray phase contras…

"cybernetics" comes from kybernētikos, which is Greek for "good at steering a boat"
Therefore John Blackthorne is a cyborg, but Robocop is not.

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Gautam Siddharth Kashyap, Md Tabrez Nafis, Samar Wazir
https://arxiv.org/abs/2506.15737

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Training Artificial Neural Networks (ANNs) with Stochastic Gradient Descent (SGD) frequently encounters difficulties, including substantial computing expense and the risk of converging to local optima, attributable to its dependence on partial weight gradients. Therefore, this work investigates Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) - two population-based Metaheuristic Optimizers (MHOs) - as alternatives to SGD to mitigate these constraints. A hybrid PSO-SGD strategy is …

Bias hardened estimators of patchy screening profiles
Noah Sailer, Boryana Hadzhiyska, Simone Ferraro
https://arxiv.org/abs/2506.17217 https://

Bias hardened estimators of patchy screening profiles
Detecting anisotropic screening of the cosmic microwave background (CMB) holds the promise of revealing the distribution of gas in the Universe, characterizing the complex processes of galaxy formation and feedback, and studying the epoch of reionization. Estimators for inhomogeneous screening, including some recently proposed small-scale (stacked) estimators, are quadratic or higher order in the CMB temperature or polarization fields and are therefore subject to contamination from CMB lensing.…

Why AI can't possibly make you more productive; long
#AI and "productivity", some thoughts:
Productivity is a concept that isn't entirely meaningless outside the context of capitalism, but it's a concept that is heavily inflected in a capitalist context. In many uses today it effectively means "how much you can satisfy and/or exceed your boss' expectations." This is not really what it should mean: even in an anarchist utopia, people would care about things like how many shirts they can produce in a week, although in an "I'd like to voluntarily help more people" way rather than an "I need to meet this quota to earn my survival" way. But let's roll with this definition for a second, because it's almost certainly what your boss means when they say "productivity", and understanding that word in a different (even if truer) sense is therefore inherently dangerous.
Accepting "productivity" to mean "satisfying your boss' expectations," I will now claim: the use of generative AI cannot increase your productivity.
Before I dive in, it's imperative to note that the big generative models which most people think of as constituting "AI" today are evil. They are 1: pouring fuel on our burning planet, 2: psychologically strip-mining a class of data laborers who are exploited for their precarity, 3: enclosing, exploiting, and polluting the digital commons, and 4: stealing labor from broad classes of people many of whom are otherwise glad to give that labor away for free provided they get a simple acknowledgement in return. Any of these four "ethical issues" should be enough *alone* to cause everyone to simply not use the technology. These ethical issues are the reason that I do not use generative AI right now, except for in extremely extenuating circumstances. These issues are also convincing for a wide range of people I talk to, from experts to those with no computer science background. So before I launch into a critique of the effectiveness of generative AI, I want to emphasize that such a critique should be entirely unnecessary.
But back to my thesis: generative AI cannot increase your productivity, where "productivity" has been defined as "how much you can satisfy and/or exceed your boss' expectations."
Why? In fact, what the fuck? Every AI booster I've met has claimed the opposite. They've given me personal examples of time saved by using generative AI. Some of them even truly believe this. Sometimes I even believe they saved time without horribly compromising on quality (and often, your boss doesn't care about quality anyways if the lack of quality is hard to measure of doesn't seem likely to impact short-term sales/feedback/revenue). So if generative AI genuinely lets you write more emails in a shorter period of time, or close more tickets, or something else along these lines, how can I say it isn't increasing your ability to meet your boss' expectations?
The problem is simple: your boss' expectations are not a fixed target. Never have been. In virtue of being someone who oversees and pays wages to others under capitalism, your boss' game has always been: pay you less than the worth of your labor, so that they can accumulate profit and this more capital to remain in charge instead of being forced into working for a wage themselves. Sure, there are layers of manservant caught in between who aren't fully in this mode, but they are irrelevant to this analysis. It matters not how much you please your manager if your CEO thinks your work is not worth the wages you are being paid. And using AI actively lowers the value of your work relative to your wages.
Why do I say that? It's actually true in several ways. The most obvious: using generative AI lowers the quality of your work, because the work it produces is shot through with errors, and when your job is reduced to proofreading slop, you are bound to tire a bit, relax your diligence, and let some mistakes through. More than you would have if you are actually doing and taking pride in the work. Examples are innumerable and frequent, from journalists to lawyers to programmers, and we laugh at them "haha how stupid to not check whether the books the AI reviewed for you actually existed!" but on a deeper level if we're honest we know we'd eventually make the same mistake ourselves (bonus game: spot the swipe-typing typos I missed in this post; I'm sure there will be some).
But using generative AI also lowers the value of your work in another much more frightening way: in this era of hype, it demonstrates to your boss that you could be replaced by AI. The more you use it, and no matter how much you can see that your human skills are really necessary to correct its mistakes, the more it appears to your boss that they should hire the AI instead of you. Or perhaps retain 10% of the people in roles like yours to manage the AI doing the other 90% of the work. Paradoxically, the *more* you get done in terms of raw output using generative AI, the more it looks to your boss as if there's an opportunity to get enough work done with even fewer expensive humans. Of course, the decision to fire you and lean more heavily into AI isn't really a good one for long-term profits and success, but the modern boss did not get where they are by considering long-term profits. By using AI, you are merely demonstrating your redundancy, and the more you get done with it, the more redundant you seem.
In fact, there's even a third dimension to this: by using generative AI, you're also providing its purveyors with invaluable training data that allows them to make it better at replacing you. It's generally quite shitty right now, but the more use it gets by competent & clever people, the better it can become at the tasks those specific people use it for. Using the currently-popular algorithm family, there are limits to this; I'm not saying it will eventually transcend the mediocrity it's entwined with. But it can absolutely go from underwhelmingly mediocre to almost-reasonably mediocre with the right training data, and data from prompting sessions is both rarer and more useful than the base datasets it's built on.
For all of these reasons, using generative AI in your job is a mistake that will likely lead to your future unemployment. To reiterate, you should already not be using it because it is evil and causes specific and inexcusable harms, but in case like so many you just don't care about those harms, I've just explained to you why for entirely selfish reasons you should not use it.
If you're in a position where your boss is forcing you to use it, my condolences. I suggest leaning into its failures instead of trying to get the most out of it, and as much as possible, showing your boss very clearly how it wastes your time and makes things slower. Also, point out the dangers of legal liability for its mistakes, and make sure your boss is aware of the degree to which any of your AI-eager coworkers are producing low-quality work that harms organizational goals.
Also, if you've read this far and aren't yet of an anarchist mindset, I encourage you to think about the implications of firing 75% of (at least the white-collar) workforce in order to make more profit while fueling the climate crisis and in most cases also propping up dictatorial figureheads in government. When *either* the AI bubble bursts *or* if the techbros get to live out the beginnings of their worker-replacement fantasies, there are going to be an unimaginable number of economically desperate people living in increasingly expensive times. I'm the kind of optimist who thinks that the resulting social crucible, though perhaps through terrible violence, will lead to deep social changes that effectively unseat from power the ultra-rich that continue to drag us all down this destructive path, and I think its worth some thinking now about what you might want the succeeding stable social configuration to look like so you can advocate towards that during points of malleability.
As others have said more eloquently, generative AI *should* be a technology that makes human lives on average easier, and it would be were it developed & controlled by humanists. The only reason that it's not, is that it's developed and controlled by terrible greedy people who use their unfairly hoarded wealth to immiserate the rest of us in order to maintain their dominance. In the long run, for our very survival, we need to depose them, and I look forward to what the term "generative AI" will mean after that finally happens.

Fast, continuous and coherent atom replacement in a neutral atom qubit array
Yiyi Li, Yicheng Bao, Michael Peper, Chenyuan Li, Jeff D. Thompson
https://arxiv.org/abs/2506.15633

Fast, continuous and coherent atom replacement in a neutral atom qubit array
Neutral atom quantum processors are a promising platform for scalable quantum computing. An obstacle to implementing deep quantum circuits is managing atom loss, which constitutes a significant fraction of all errors. Current approaches are either not capable of replacing lost atoms in the middle of a circuit -- and therefore restricted to fixed, short circuit depths -- or require more than an order of magnitude longer time than gate and measurement operations to do so. In this work, we demonst…

Wow. Yes. From a California district court:
“At this early stage of the proceedings, the Court must determine whether the President followed the congressionally mandated procedure for his actions. He did not. His actions were illegal—both exceeding the scope of his statutory authority and violating the Tenth Amendment to the United States Constitution. He must therefore return control of the California National Guard to the Governor of the State of California forthwith.” https://journa.host/@chrisgeidner/114673375048335011

Material did\'actico de L\'ogica Proposicional para Estructuras Discretas
Margarita Carrera Fournier
https://arxiv.org/abs/2505.13459 https://

Material didáctico de Lógica Proposicional para Estructuras Discretas
One of the most difficult topics in the subject of Discrete Mathematics is the subject of Propositional Logic, therefore the present work had as objective to facilitate the learning of Propositional Logic through the implementation of didactic material with the use of educational technology that contributes to the achievement of the objectives established in the syllabus of the subject of Discrete Mathematics, because the knowledge that it provides to Computer Engineers is essential for their p…

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
Zhenxuan Zhang, Lipei Zhang, Yanqi Cheng, Zi Wang, Fanwen Wang, Haosen Zhang, Yue Yang, Yinzhe Wu, Jiahao Huang, Angelica I Aviles-Rivero, Zhifan Gao, Guang Yang, Peter J. Lally
https://arxiv.org/abs/…

From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
In motion-robust magnetic resonance imaging (MRI), slice-to-volume reconstruction is critical for recovering anatomically consistent 3D brain volumes from 2D slices, especially under accelerated acquisitions or patient motion. However, this task remains challenging due to hierarchical structural disruptions. It includes local detail loss from k-space undersampling, global structural aliasing caused by motion, and volumetric anisotropy. Therefore, we propose a progressive refinement implicit neu…

Enhancing Symbolic Machine Learning by Subsymbolic Representations
Stephen Roth, Lennart Baur, Derian Boer, Stefan Kramer
https://arxiv.org/abs/2506.14569 …

Enhancing Symbolic Machine Learning by Subsymbolic Representations
The goal of neuro-symbolic AI is to integrate symbolic and subsymbolic AI approaches, to overcome the limitations of either. Prominent systems include Logic Tensor Networks (LTN) or DeepProbLog, which offer neural predicates and end-to-end learning. The versatility of systems like LTNs and DeepProbLog, however, makes them less efficient in simpler settings, for instance, for discriminative machine learning, in particular in domains with many constants. Therefore, we follow a different approach:…

Does the fuckwit know he's contradicting himself?
"We've already been moving assets to the region, including jets, and that is for contingency support across the region," he told reporters.
"Our constant message is de-escalate, and therefore everything we're doing, all discussions we're having are to do with de-escalation."
UK sends more RAF jets to Middle East as PM urges de-escalation - BBC News

UK sends more RAF jets to Middle East as PM urges de-escalation
Sir Keir Starmer said aircraft are being deployed amid intense fighting between Israel and Iran.

This Thursday the moving truck arrives and the following Tuesday we move into our new home. Therefore, it's time for a new alias, and this poll offers some possible alternatives. Please boost for maximum meaningless results.
Some background:
- we are moving to the Barrie area.
- officially, within the Town of Innisfil
- easy walking distance to Belle Aire Beach
- within Innisfil, we are in the community of Belle Ewart
Disclaimer - I am not legally bound by the results of this survey.
Barrie Beach Bum
Innocuous In Innisfil
Prince of Belle Aire
Ewartian Era

It seems like, again, just following the plain logic of the Constitution and Declaration of Independence (which, again, I do not subscribe to), that every law passed under Trump, every supreme court justice appointment by Trump, every supreme court ruling by Trump appointed justices, all the illegal firing, etc, must all, necessarily, be null and void.
And if not following from the insurrection act, or from the oath of office, then following from the Declaration of Independence itself. The logic here being that a constitution is a contract between the people and their government, which the later upholds in order to maintain its legal status. The violation of said laws by the government violates "consent of the governed" (which, again, I have issues with the concept entirely but we're just going to ignore that) and therefore nullifies the authority of that government, granting " the right of the people to alter or to abolish it."
That seems a lot like the hard reset some folks have been looking for. Given that existing flaws allowed this state to be reached, it would also be necessary for the true authority to correct those mistakes before assuming authority that derives from these principles.
Now, personally, I don't subscribe to any of this logic but it's interesting to explore, as an outsider, where the logic goes.

Kaluza-Klein inspired a model of the inflation with the inversed power law potential in Bianchi type-I universe
Jaturaporn Wattanakumpolkij, Patinya Ma-ardlerd, Natthason Autthisin, Pornpatara Chuvala, Nutthaphat Lunrasri, Chakrit Pongkitivanichkul, Daris Samart
https://arxiv.org/abs/2506.16139

Kaluza-Klein inspired a model of the inflation with the inversed power law potential in Bianchi type-I universe
This work considers the dynamics of the gauge vector and inflaton (dilaton) fields inspired by Kaluza-Klein theory in an inflationary universe with Bianchi type-I spacetime. The inverse power-law potential of the inflaton field is used to study dynamical system analysis. As a result, all fixed points in the autonomous system are non-hyperbolic fixed points, and one cannot determine their stability. Therefore, a center manifold theory is required to analyze the stability of the dynamical system …

Impact of $\Xi$-Hypernuclear Constraints on Relativistic Equation of States and Properties of Hyperon Stars
Shi-Yuan Ding, Xiang-Dong Sun, Bao-Yuan Sun, Ang Li
https://arxiv.org/abs/2506.16871

Impact of $Ξ$-Hypernuclear Constraints on Relativistic Equation of States and Properties of Hyperon Stars
Significant uncertainties persist in describing the equation of state and internal structure of hyperon stars due to the limited understanding of the mechanisms underlying hyperon interactions. Constraining the interaction parameter space through a combination of the latest astronomical observations and hypernuclear physics experiments is therefore essential. In this study, we incorporate experimental constraints from $Ξ$ hypernuclear physics on top of $Λ$ hyperons considered in \citet{Sun202…

Crystal Growth of Chalcogenides and Oxy-Chalcogenides Using Chloride Exchange Reaction
Shantanu Singh, Boyang Zhao, Christopher E. Stevens, Mythili Surendran, Tzu-Chi Huang, Bi-Hsuan Lin, Joshua R. Hendrickson, Jayakanth Ravichandran
https://arxiv.org/abs/2506.16695

Crystal Growth of Chalcogenides and Oxy-Chalcogenides Using Chloride Exchange Reaction
Chalcogenides and oxy-chalcogenides, including complex chalcogenides and transition metal dichalcogenides, are emerging semiconductors with direct or indirect band gaps within the visible spectrum. These materials are being explored for various photonic and electronic applications, such as photodetectors, photovoltaics, and phase-change electronics. Understanding the fundamental properties of these materials is crucial for optimizing their functionalities. Therefore, the availability of large, …

Bounding statistical errors in lattice field theory simulations
Mattia Bruno, Gabriele Morandi
https://arxiv.org/abs/2506.16326 https://

Bounding statistical errors in lattice field theory simulations
Simulations of strongly interacting lattice field theories are typically performed using Markov chain Monte Carlo algorithms. Therefore estimators of statistical errors must incorporate the effect of autocorrelations by integrating the corresponding autocorrelation function. Since in practical calculations its integral is truncated to a finite window, in this work we propose a stopping criterion based on upper and lower bounds of the autocorrelation function. We examine its application to both …

Imagine you want to produce E-Fuels⚡⛽ but the power company does not want to sell you electricity⚡
That appears to be what potential E-Fuels producers faced in Iceland🇮🇸. The country uses 100% renewable electricity (hydro/geo) & could produce more.
Yet, Iceland's electricity producer Landsvirkjun does not have enough electricity⚡. Building new plants is delayed by slow permitting 📝. Landsvirkjun has therefore set out priorities.

Iceland's E-Fuels Controversy
Hydrogen and E-Fuels companies want to utilize Iceland's abundant renewable energy sources. But Iceland's largest energy company Landsvirkjun does not want to sell electricity to them. E-Fuels producers hope that European authorities will intervene, the EFTA Surveillane Authority investigates.

Dust production rates in Jupiter-family comets II: Trends and population insights from ATLAS photometry of 116 JFCs
A. Fraser Gillan, Alan Fitzsimmons, Larry Denneau, Robert J. Siverd, Ken W. Smith, John L. Tonry, David R. Young
https://arxiv.org/abs/2506.09192

Dust production rates in Jupiter-family comets II: Trends and population insights from ATLAS photometry of 116 JFCs
Jupiter-family comets (JFCs) have orbital periods of less than 20 years and therefore undergo more frequent sublimation compared to other comet populations. The JFCs therefore represent the ideal dynamical population for investigating the dust production rates at high-cadence. We analyzed observations by the Asteroid Terrestrial-impact Last Alert System (ATLAS) of 74 JFCs that reached perihelion in 2022 and 2023. The work contained in this study builds upon our previous work (Gillan et al. 2024…

Network Cross-Validation for Nested Models by Edge-Sampling: Selection Consistency
Bokai Yang
https://arxiv.org/abs/2506.14244 https://

Network Cross-Validation for Nested Models by Edge-Sampling: Selection Consistency
In the network literature, a wide range of statistical models have been proposed to exploit structural patterns in the data. Therefore, model selection between different models is a fundamental problem. Cross-validation is a powerful candidate to solve this problem, and Li et al. have already proposed an edge-sampling procedure to choose the number of communities in the block model framework. In this paper, we propose a penalized edge-sampling cross-validation framework for nested network model…

Identification of $D^*_2(3000)$ as the $D_2^*(2^3P_2)$ and exploring potential of undiscovered $2^ $ mesons via $B$ decays
Shi-Hang Zhang, Wen-Yuan Ke, Su-Yan Pei, Wei Li, Xiao-Ze Tan, Lili Zhu, Guo-Li Wang
https://arxiv.org/abs/2506.14140

Identification of $D^*_2(3000)$ as the $D_2^*(2^3P_2)$ and exploring potential of undiscovered $2^+$ mesons via $B$ decays
Following the discovery of the $D^*_2(3000)$, its mass and full width have been extensively studied. Yet its nature remains undetermined to date. Since it was discovered through nonleptonic decay of $B$ meson and the corresponding cascade process, we therefore in this paper investigate the nonleptonic and semileptonic decays of $B$ meson to $J^P = 2^+$ charmed mesons using the Bethe-Salpeter equation approach. Our calculations on nonleptonic $B$ decays reveal that the unconfirmed resonance $D^*…

Digital Transformation of Urban Planning in Australia: Influencing Factors and Key Challenges
Soheil Sabri, Sherah Kurnia
https://arxiv.org/abs/2506.13333 …

Digital Transformation of Urban Planning in Australia: Influencing Factors and Key Challenges
Over the past two decades, several governments in developing and developed countries have started their journey toward digital transformation. However, the pace and maturity of digital technologies and strategies are different between public services. Current literature indicates that research on the digital transformation of urban planning is still developing. Therefore, the aim of this study is to understand the influencing factors and key challenges for the digital transformation of urban pl…

The Casimir eigenvalues on $ad^{\otimes k}$ of SU(N) are linear on N
R. L. Mkrtchyan
https://arxiv.org/abs/2506.13062 https://arxiv.o…

The Casimir eigenvalues on $ad^{\otimes k}$ of SU(N) are linear on N
We consider eigenvalues of the Casimir operator on the naturally defined \textit{stable sequences} of representations of $su(N)$ algebra and prove that eigenvalues are linear over $N$ iff $λ_1+2λ_2+...+kλ_k=λ_{N-1}+2λ_{N-2}+...+kλ_{N-k}$, where $λ_i$ are Dynkin labels, and $λ_i=0$ for $k

Multi-domain anomaly detection in a 5G network
Thomas Hoger (LAAS-SARA), Philippe Owezarski (LAAS-SARA)
https://arxiv.org/abs/2506.12070 https://

Multi-domain anomaly detection in a 5G network
With the advent of 5G, mobile networks are becoming more dynamic and will therefore present a wider attack surface. To secure these new systems, we propose a multi-domain anomaly detection method that is distinguished by the study of traffic correlation on three dimensions: temporal by analyzing message sequences, semantic by abstracting the parameters these messages contain, and topological by linking them in the form of a graph. Unlike traditional approaches, which are limited to considering …

Cancer was Joe biden's cause, therefore Trump must side with cancer.

"We can't verify that the DNS root servers are running the code they say they are nor trust that the root zone won't be manipulated by a rogue U.S. administration. Therefore, we need [something completely different]."
DNS is a convenient example, but substitute almost any widely deployed subsystem or tech of your choice.
I find these sorts of hand wavy, shallow 240-character arguments to be as easily dismissed as they are so often made.

SVD method for sparse recovery
Long Li, Liang Ding
https://arxiv.org/abs/2506.11379 https://arxiv.org/pdf/2506.11379

SVD method for sparse recovery
Sparsity regularization has garnered significant interest across multiple disciplines, including statistics, imaging, and signal processing. Standard techniques for addressing sparsity regularization include iterative soft thresholding algorithms and their accelerated variants. However, these algorithms rely on Landweber iteration, which can be computationally intensive. Therefore, there is a pressing need to develop a more efficient algorithm for sparsity regularization. The Singular Value Dec…

Friends from English-speaking countries that say "zed" instead of "zee":
What is the last verse of the alphabet song?
The US version ends "now I know my A B Cs, next time won't you sing with me." Which therefore rhymes with "zee".
But it wouldn't rhyme with "zed". So what do you say instead? Or does it just not rhyme as well?

Discovering Coordinated Processes From Social Online Networks
Anna Kalenkova, Lewis Mitchell, Ethan Johnson
https://arxiv.org/abs/2506.12988 https://

Discovering Coordinated Processes From Social Online Networks
The rapid growth of social media presents a unique opportunity to study coordinated agent behavior in an unfiltered environment. Online processes often exhibit complex structures that reflect the nature of the user behavior, whether it is authentic and genuine, or part of a coordinated effort by malicious agents to spread misinformation and disinformation. Detection of AI-generated content can be extremely challenging due to the high quality of large language model-generated text. Therefore, ap…

Inverse source problem for a hyperbolic equation by Carleman estimates
Suliang Si
https://arxiv.org/abs/2506.12703 https://arxiv.org/…

Inverse source problem for a hyperbolic equation by Carleman estimates
In this article, we provide a modified argument for proving the conditional stability of inverse source problem for a hyperbolic equation. Our method does not require any extension of solution with respect to time and therefore simplifies the existing proofs, which is widely applicable to various evolution equations.

This https://arxiv.org/abs/2505.00347 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics
The rapid scaling of models has led to prohibitively high training and fine-tuning costs. A major factor accounting for memory consumption is the widespread use of stateful optimizers (e.g., Adam), which maintain auxiliary information of even 2x the model size in order to achieve optimal convergence. We therefore present SOLO in this work to spawn a novel type of optimizer that requires an extremely light memory footprint. While previous efforts have achieved certain success in 8-bit or 4-bit c…

Dear „fundamental Christians“, for you the proof that the climate catastrophe is men made is easy:
• God said to Noah: “I have set my rainbow in the clouds, and it will be the sign of the covenant between me and the earth.” (Gen 9, 13)
• You are fighting rainbows, calling them and those who praise it evil.
• So you cut the contract that was sealed between us.
• Therefore there will be flood – and worse. One does not cut the gay ribbon between yourself and God.
• It i…

Approximate Axiomatization for Differentially-Defined Functions
Andr\'e Platzer, Long Qian
https://arxiv.org/abs/2506.08233 https://

Approximate Axiomatization for Differentially-Defined Functions
This article establishes a complete approximate axiomatization for the real-closed field $\mathbb{R}$ expanded with all differentially-defined functions, including special functions such as $\sin(x), \cos(x), e^x, \dots$. Every true sentence is provable up to some numerical approximation, and the truth of such approximations converge under mild conditions. Such an axiomatization is a fragment of the axiomatization for differential dynamic logic, and is therefore a finite extension of the axioma…

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities
Miguel \'A. Gonz\'alez-Santamarta, Francisco J. Rodr\'iguez-Lera, David Sobr\'in-Hidalgo, \'Angel Manuel Guerrero-Higueras, Vicente Matell\'An-Olivera
https://arxiv.org/abs/2506.09581

Integrating Quantized LLMs into Robotics Systems as Edge AI to Leverage their Natural Language Processing Capabilities
Large Language Models (LLMs) have experienced great advancements in the last year resulting in an increase of these models in several fields to face natural language tasks. The integration of these models in robotics can also help to improve several aspects such as human-robot interaction, navigation, planning and decision-making. Therefore, this paper introduces llama\_ros, a tool designed to integrate quantized Large Language Models (LLMs) into robotic systems using ROS 2. Leveraging llama.cp…

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
Yuke Xing, Jiarui Wang, Peizhi Niu, Wenjie Huang, Guangtao Zhai, Yiling Xu
https://arxiv.org/abs/2506.14642

3DGS-IEval-15K: A Large-scale Image Quality Evaluation Database for 3D Gaussian-Splatting
3D Gaussian Splatting (3DGS) has emerged as a promising approach for novel view synthesis, offering real-time rendering with high visual fidelity. However, its substantial storage requirements present significant challenges for practical applications. While recent state-of-the-art (SOTA) 3DGS methods increasingly incorporate dedicated compression modules, there is a lack of a comprehensive framework to evaluate their perceptual impact. Therefore we present 3DGS-IEval-15K, the first large-scale …

Relativistic implications of entropy and purity
Joseph Balsells, Martin Bojowald
https://arxiv.org/abs/2506.14705 https://arxiv.org/p…

Relativistic implications of entropy and purity
A quantum object is extended by virtue of quantum uncertainty. Subjected to gravity, it therefore experiences tidal forces and other relativistic effects. As a result, entropy and purity affect geodesic motion and acquire weight, an observation that has broad implications from free-fall experiments to Hawking radiation. If the object's position is quantum correlated in at least two directions, a complete description of its geodesic motion requires non-Riemannian geometry of a form controlled by…

Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Jaehong Chung, Michael Manga, Timothy Kneafsey, Tapan Mukerji, Mengsu Hu
https://arxiv.org/abs/2506.14923

Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning
Microearthquakes (MEQs) generated by subsurface fluid injection record the evolving stress state and permeability of reservoirs. Forecasting their full spatiotemporal evolution is therefore critical for applications such as enhanced geothermal systems (EGS), CO$_2$ sequestration and other geo-engineering applications. We present a transformer-based deep learning model that ingests hydraulic stimulation history and prior MEQ observations to forecast four key quantities: cumulative MEQ count, cum…

Transport-Generated Signals Uncover Geometric Features of Evolving Branched Structures
Fabian H. Kreten, Ludger Santen, Reza Shaebani
https://arxiv.org/abs/2506.11575

Transport-Generated Signals Uncover Geometric Features of Evolving Branched Structures
Branched structures that evolve over time critically determine the function of various natural and engineered systems, including growing vasculature, neural arborization, pulmonary networks such as lungs, river basins, power distribution networks, and synthetic flow media. Inferring the underlying geometric properties of such systems and monitoring their structural and morphological evolution is therefore essential. However, this remains a major challenge due to limited access and the transient…

Learning to Integrate
Oliver G. Ernst, Hanno Gottschalk, Toni Kowalewitz, Patrick Kr\"uger
https://arxiv.org/abs/2506.11801 https://

Learning to Integrate
This work deals with uncertainty quantification for a generic input distribution to some resource-intensive simulation, e.g., requiring the solution of a partial differential equation. While efficient numerical methods exist to compute integrals for high-dimensional Gaussian and other separable distributions based on sparse grids (SG), input data arising in practice often does not fall into this class. We therefore employ transport maps to transform complex distributions to multivatiate standar…

Some detail i just realized although it was out in the open: In the british mandate area of Palestine lived arabs druzes, jews, christians,..., but the term "Palestinians" was created by Arafat in the 70s, but meaning arabs exclusively. So far, so known.
But, with the word he claimed the whole territory of Palestine for arabs, defining all others as foreigners.
Therefore semantically the use of the word 'Palestinians' for arabs in Palestine implies the eradication…

Individuality
My words are easy to understand
And my actions are easy to perform
Yet no other can understand or perform them.
My words have meaning; my actions have reason;
Yet these cannot be known and I cannot be known.
We are each unique, and therefore valuable;
Though the sage wears coarse clothes, his heart is jade.
-- Lao Tse, "Tao Te Ching"

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
Shiting Huang, Zhen Fang, Zehui Chen, Siyu Yuan, Junjie Ye, Yu Zeng, Lin Chen, Qi Mao, Feng Zhao
https://arxiv.org/abs/2506.13977

CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios
The ability of large language models (LLMs) to utilize external tools has enabled them to tackle an increasingly diverse range of tasks. However, as the tasks become more complex and long-horizon, the intricate tool utilization process may trigger various unexpected errors. Therefore, how to effectively handle such errors, including identifying, diagnosing, and recovering from them, has emerged as a key research direction for advancing tool learning. In this work, we first extensively analyze t…

CipherMind: The Longest Codebook in the World
Ming Nie, Zhixiong Yang, Bingsheng Wei
https://arxiv.org/abs/2506.15117 https://arxiv.o…

CipherMind:The Longest Codebook in the World
In recent years, the widespread application of large language models has inspired us to consider using inference for communication encryption. We therefore propose CipherMind, which utilizes intermediate results from deterministic fine-tuning of large model inferences as transmission content. The semantic parameters of large models exhibit characteristics like opaque underlying implementations and weak interpretability, thus enabling their use as an encryption method for data transmission. This…

Cosmic curl -- Features and convergence of the vorticity power spectrum in $N$-body simulations
Camilla T. G. S{\o}rensen, Steen Hannestad, Thomas Tram
https://arxiv.org/abs/2506.15486

Cosmic curl -- Features and convergence of the vorticity power spectrum in $N$-body simulations
Observations of the cosmic velocity field could become an important cosmological probe in the near future. To take advantage of future velocity-flow surveys we must however have the theoretical predictions under control. In many respects, the velocity field is easier to simulate than the density field because it is less severely affected by small-scale clustering. Therefore, as we also show in this paper, a particle-mesh (PM) based simulation approach is usually sufficient, yielding results wit…

Modeling of Ionization and Recombination Processes in Plasma with Arbitrary Non-Maxwellian Electron Distributions
Chengcai Shen, Xiaocan Li, Yuan-Kuen Ko, John C. Raymond, Fan Guo, Vanessa Polito, Viviane Pierrard
https://arxiv.org/abs/2506.14668

Modeling of Ionization and Recombination Processes in Plasma with Arbitrary Non-Maxwellian Electron Distributions
In astronomical environments, the high-temperature emission of plasma mainly depends on ion charge states, which requires accurate analysis of the ionization and recombination processes. For various phenomena involving energetic particles, the non-Maxwellian distributions of electrons exhibiting high-energy tails can significantly enhance the ionization process. Therefore, accurately computing ionization and recombination rates with non-Maxwellian electron distributions is essential for emissio…

Enhancing photon-axion conversion probability with squeezed coherent states
Taiki Ikeda, Sugumi Kanno, Jiro Soda
https://arxiv.org/abs/2506.14354 https://

Enhancing photon-axion conversion probability with squeezed coherent states
In particle physics, axions and axion-like particles are ubiquitous. Remarkably, ultra-light axions could constitute dark matter or dark energy. Therefore, it is important to detect axions experimentally. In the presence of a magnetic field, a photon can be converted into an axion, and vice versa. Utilizing the conversion phenomenon, several methods for detecting axions have been proposed. To improve detectability, it is desirable to use quantum sensing. However, since the conversion process is…

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
https://arxiv.org/abs/2506.12340

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
Large vision-language models (LVLMs) have demonstrated outstanding performance in many downstream tasks. However, LVLMs are trained on large-scale datasets, which can pose privacy risks if training images contain sensitive information. Therefore, it is important to detect whether an image is used to train the LVLM. Recent studies have investigated membership inference attacks (MIAs) against LVLMs, including detecting image-text pairs and single-modality content. In this work, we focus on detect…

Fortunately, we can't measure the impacts of the McNamara Fallacy. Therefore it does not exist.

The Tech DEI Backlash -- The Changing Landscape of Diversity, Equity, and Inclusion in Software Engineering
Sonja M. Hyrynsalmi, Mary Sanchez-Gordon, Anna Szlavi, Letizia Jaccheri
https://arxiv.org/abs/2506.14232

The Tech DEI Backlash -- The Changing Landscape of Diversity, Equity, and Inclusion in Software Engineering
Not long ago, Diversity, Equity, and Inclusion (DEI) initiatives were a top priority for leading software companies. However, in a short period, a wave of backlash has led many firms to re-assess their DEI strategies. Responding to this DEI backlash is crucial in academic research, especially because, currently, little scholarly research has been done on it. In this paper, therefore, we have set forth the following research question (RQ): "How have leading software companies changed their DEI s…

How CO Affects the Composition of Titan's Tholins Generated with ECR Plasma
Zhengbo Yang, Yu Liu, Chao He, Pengcheng Yu, Rong Jin, Xiangqun Liu, Jinpu Zhang, Jiuhou Lei
https://arxiv.org/abs/2506.14841

How CO Affects the Composition of Titan's Tholins Generated with ECR Plasma
Titan's atmosphere possesses thick haze layers, but their formation mechanisms remain poorly understood, including the influence of oxygen-containing gas components on organic matter synthesis. As the most abundant oxygen-containing gas, the presence of CO has been found to exert a significant impact on the generation of oxygen-containing organic compounds. Therefore, investigating the influence of CO on the production and composition of Tholins through laboratory simulations, holds profound sc…

Local empirical Bayes correction for Bayesian modeling
Yoshiko Hayashi
https://arxiv.org/abs/2506.11424 https://arxiv.org/pdf/2506.11…

Local empirical Bayes correction for Bayesian modeling
The James-Stein estimator has attracted much interest as a shrinkage estimator that yields better estimates than the maximum likelihood estimator. The James-Stein estimator is also very useful as an argument in favor of empirical Bayesian methods. However, for problems involving large-scale data, such as differential gene expression data, the distribution is considered a mixture distribution with different means that cannot be considered sufficiently close. Therefore, it is not appropriate to a…

Narrowing the Gap between TEEs Threat Model and Deployment Strategies
Filip Rezabek, Jonathan Passerat-Palmbach, Moe Mahhouk, Frieder Erdmann, Andrew Miller
https://arxiv.org/abs/2506.14964

Narrowing the Gap between TEEs Threat Model and Deployment Strategies
Confidential Virtual Machines (CVMs) provide isolation guarantees for data in use, but their threat model does not include physical level protection and side-channel attacks. Therefore, current deployments rely on trusted cloud providers to host the CVMs' underlying infrastructure. However, TEE attestations do not provide information about the operator hosting a CVM. Without knowing whether a Trusted Execution Environment (TEE) runs within a provider's infrastructure, a user cannot accurately a…

There are 150 million handguns in the US. Each handgun has at least 6 bullets. A single bullet is enough to take the life of an American. Therefore banning handguns would immediately save the lives of 900 million Americans. (US Attorney General's corrected estimate).

Sonnet 127 - CXXVII
In the old age black was not counted fair,
Or if it were, it bore not beauty's name;
But now is black beauty's successive heir,
And beauty slandered with a bastard shame:
For since each hand hath put on Nature's power,
Fairing the foul with Art's false borrowed face,
Sweet beauty hath no name, no holy bower,
But is profaned, if not lives in disgrace.
Therefore my mistress' eyes are raven black,

LLM-Driven Personalized Answer Generation and Evaluation
Mohammadreza Molavi, Mohammadreza Tavakoli, Mohammad Moein, Abdolali Faraji, G\'abor Kismih\'ok
https://arxiv.org/abs/2506.10829

LLM-Driven Personalized Answer Generation and Evaluation
Online learning has experienced rapid growth due to its flexibility and accessibility. Personalization, adapted to the needs of individual learners, is crucial for enhancing the learning experience, particularly in online settings. A key aspect of personalization is providing learners with answers customized to their specific questions. This paper therefore explores the potential of Large Language Models (LLMs) to generate personalized answers to learners' questions, thereby enhancing engagemen…

Noise Analysis and Hierarchical Adaptive Body State Estimator For Biped Robot Walking With ESVC Foot
Boyang Chen, Xizhe Zang, Chao Song, Yue Zhang, Xuehe Zhang, Jie Zhao
https://arxiv.org/abs/2506.08578

Noise Analysis and Hierarchical Adaptive Body State Estimator For Biped Robot Walking With ESVC Foot
The ESVC(Ellipse-based Segmental Varying Curvature) foot, a robot foot design inspired by the rollover shape of the human foot, significantly enhances the energy efficiency of the robot walking gait. However, due to the tilt of the supporting leg, the error of the contact model are amplified, making robot state estimation more challenging. Therefore, this paper focuses on the noise analysis and state estimation for robot walking with the ESVC foot. First, through physical robot experiments, we …

The impact of parameter spread of high-temperature superconducting Josephson junctions on the performance of quantum-based voltage standards
Guanghong Wen, Yi Zhu, Yingxiang Zheng, Shuhe Cui, Ji Wang, Yanyun Ren, Hao Li, Guofeng Zhang, Lixing You
https://arxiv.org/abs/2506.12989

The impact of parameter spread of high-temperature superconducting Josephson junctions on the performance of quantum-based voltage standards
Quantum metrology based on Josephson junction array reproduces the most accurate desired voltage by far, therefore being introduced to provide voltage standards worldwide. In this work, we quantitatively analyzed the dependence of the first Shapiro step height of the junction array at 50 GHz on the parameter spread of 10,000 Josephson junctions by numerical simulation with resistively shunted junction model. The results indicate an upper limit spread of the critical current and resistance of th…

ASMOP: Additional sampling stochastic trust region method for multi-objective problems
Nata\v{s}a Krklec Jerinki\'c, Luka Rute\v{s}i\'c
https://arxiv.org/abs/2506.10976

ASMOP: Additional sampling stochastic trust region method for multi-objective problems
We consider an unconstrained multi-criteria optimization problem with finite sum objective functions. The proposed algorithm belongs to a non-monotone trust-region framework where additional sampling approach is used to govern the sample size and the acceptance of a candidate point. Depending on the problem, the method can result in a mini-batch or an increasing sample size approach. Therefore, this work can be viewed as an extension of additional sampling trust region method for scalar finite …

This https://arxiv.org/abs/2505.14613 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Virtual Cells: Predict, Explain, Discover
Drug discovery is fundamentally a process of inferring the effects of treatments on patients, and would therefore benefit immensely from computational models that can reliably simulate patient responses, enabling researchers to generate and test large numbers of therapeutic hypotheses safely and economically before initiating costly clinical trials. Even a more specific model that predicts the functional response of cells to a wide range of perturbations would be tremendously valuable for disco…

Quantum Circuits for the Metropolis-Hastings Algorithm
Baptiste Claudon, Pablo Rodenas-Ruiz, Jean-Philip Piquemal, Pierre Monmarch\'e
https://arxiv.org/abs/2506.11576

Quantum Circuits for the Metropolis-Hastings Algorithm
Szegedy's quantization of a reversible Markov chain provides a quantum walk whose mixing time is quadratically smaller than that of the classical walk. Quantum computers are therefore expected to provide a speedup of Metropolis-Hastings (MH) simulations. Existing generic methods to implement the quantum walk require coherently computing the acceptance probabilities of the underlying Markov kernel. However, reversible computing methods require a number of qubits that scales with the complexity o…

Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities
Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Jiacong Wu, An Guo, Jiawei Shen, Bingzhuo Li, Zhenyu Chen
https://arxiv.org/abs/2506.13114

Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities
Large language models (LLMs) drive significant advancements in real industry applications. LLMs rely on DL frameworks for efficient model construction, distributed execution, and optimized deployment. Their large parameter scale and long execution cycles place extreme demands on DL frameworks in terms of scalability, stability, and efficiency. Therefore, poor usability, limited functionality, and subtle bugs in DL frameworks may hinder development efficiency and cause severe failures or resourc…

Significant role of first-principles electron-phonon coupling in the electronic and thermoelectric properties of LiZnAs and ScAgC semiconductors
Vinod Kumar Solet, Sudhir K. Pandey
https://arxiv.org/abs/2506.13675

Significant role of first-principles electron-phonon coupling in the electronic and thermoelectric properties of LiZnAs and ScAgC semiconductors
The half-Heusler (hH) compounds are currently considered promising thermoelectric (TE) materials due to their favorable thermopower and electrical conductivity. Accurate estimates of these properties are therefore highly desirable and require a detailed understanding of the microscopic mechanisms that govern transport. To enable such estimations, we carry out comprehensive first-principles computations of one of the primary factors limiting carrier transport, namely the electron-phonon ($e-ph$)…

Calibrating baryonic effects in cosmic shear with external data in the LSST era
Amy Wayland, David Alonso, Matteo Zennaro
https://arxiv.org/abs/2506.11943 …

Calibrating baryonic effects in cosmic shear with external data in the LSST era
Cosmological constraints derived from weak lensing (WL) surveys are limited by baryonic effects, which suppress the non-linear matter power spectrum on small scales. By combining WL measurements with data from external tracers of the gas around massive structures, it is possible to calibrate baryonic effects and, therefore, obtain more precise cosmological constraints. In this study, we generate mock data for a Stage-IV weak lensing survey such as the Legacy Survey of Space and Time (LSST), X-r…

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
Jingxuan Zhang, Zhenhua Xu, Rui Hu, Wenpeng Xing, Xuhong Zhang, Meng Han
https://arxiv.org/abs/2506.12551

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
Large Language Models (LLMs) have become increasingly prevalent across various sectors, raising critical concerns about model ownership and intellectual property protection. Although backdoor-based fingerprinting has emerged as a promising solution for model authentication, effective attacks for removing these fingerprints remain largely unexplored. Therefore, we present Mismatched Eraser (MEraser), a novel method for effectively removing backdoor-based fingerprints from LLMs while maintaining …

This https://arxiv.org/abs/2506.06062 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Minoritised Ethnic People's Security and Privacy Concerns and Responses towards Essential Online Services
Minoritised ethnic people are marginalised in society, and therefore at a higher risk of adverse online harms, including those arising from the loss of security and privacy of personal data. Despite this, there has been very little research focused on minoritised ethnic people's security and privacy concerns, attitudes, and behaviours. In this work, we provide the results of one of the first studies in this regard. We explore minoritised ethnic people's experiences of using essential online ser…

Sonnet 022 - XXII
My glass shall not persuade me I am old,
So long as youth and thou are of one date;
But when in thee time's furrows I behold,
Then look I death my days should expiate.
For all that beauty that doth cover thee,
Is but the seemly raiment of my heart,
Which in thy breast doth live, as thine in me:
How can I then be elder than thou art?
O! therefore love, be of thyself so wary
As I, not for myself, but for thee wil…

The Intrinsic Riemannian Proximal Gradient Method for Nonconvex Optimization
Ronny Bergmann, Hajg Jasa, Paula John, Max Pfeffer
https://arxiv.org/abs/2506.09775

The Intrinsic Riemannian Proximal Gradient Method for Nonconvex Optimization
We consider the proximal gradient method on Riemannian manifolds for functions that are possibly not geodesically convex. Starting from the forward-backward-splitting, we define an intrinsic variant of the proximal gradient method that uses proximal maps defined on the manifold and therefore does not require or work in the embedding. We investigate its convergence properties and illustrate its numerical performance, particularly for nonconvex or nonembedded problems that are hence out of reach …

An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-based SAR ATR
Chenwei Wang, Renjie Xu, Congwen Wu, Cunyi Yin, Ziyun Liao, Deqing Mao, Sitong Zhang, Hong Yan
https://arxiv.org/abs/2506.09377

An Interpretable Two-Stage Feature Decomposition Method for Deep Learning-based SAR ATR
Synthetic aperture radar automatic target recognition (SAR ATR) has seen significant performance improvements with deep learning. However, the black-box nature of deep SAR ATR introduces low confidence and high risks in decision-critical SAR applications, hindering practical deployment. To address this issue, deep SAR ATR should provide an interpretable reasoning basis $r_b$ and logic $λ_w$, forming the reasoning logic $\sum_{i} {{r_b^i} \times {λ_w^i}} =pred$ behind the decisions. Therefore,…

BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
Jonathan Schmidt, Simon Giebenhain, Matthias Niessner
https://arxiv.org/abs/2506.06271

BecomingLit: Relightable Gaussian Avatars with Hybrid Neural Shading
We introduce BecomingLit, a novel method for reconstructing relightable, high-resolution head avatars that can be rendered from novel viewpoints at interactive rates. Therefore, we propose a new low-cost light stage capture setup, tailored specifically towards capturing faces. Using this setup, we collect a novel dataset consisting of diverse multi-view sequences of numerous subjects under varying illumination conditions and facial expressions. By leveraging our new dataset, we introduce a new …

Prompt Variability Effects On LLM Code Generation
Andrei Paleyes, Radzim Sendyka, Diana Robinson, Christian Cabrera, Neil D. Lawrence
https://arxiv.org/abs/2506.10204

Prompt Variability Effects On LLM Code Generation
Code generation is one of the most active areas of application of Large Language Models (LLMs). While LLMs lower barriers to writing code and accelerate development process, the overall quality of generated programs depends on the quality of given prompts. Specifically, functionality and quality of generated code can be sensitive to user's background and familiarity with software development. It is therefore important to quantify LLM's sensitivity to variations in the input. To this end we prop…

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors
Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He
https://arxiv.org/abs/2506.10949

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors
Current LLM safety defenses fail under decomposition attacks, where a malicious goal is decomposed into benign subtasks that circumvent refusals. The challenge lies in the existing shallow safety alignment techniques: they only detect harm in the immediate prompt and do not reason about long-range intent, leaving them blind to malicious intent that emerges over a sequence of seemingly benign instructions. We therefore propose adding an external monitor that observes the conversation at a higher…

GPS Spoofing Attacks on AI-based Navigation Systems with Obstacle Avoidance in UAV
Ji Hyuk Jung, Mi Yeon Hong, Ji Won Yoon
https://arxiv.org/abs/2506.08445

GPS Spoofing Attacks on AI-based Navigation Systems with Obstacle Avoidance in UAV
Recently, approaches using Deep Reinforcement Learning (DRL) have been proposed to solve UAV navigation systems in complex and unknown environments. However, despite extensive research and attention, systematic studies on various security aspects have not yet been conducted. Therefore, in this paper, we conduct research on security vulnerabilities in DRL-based navigation systems, particularly focusing on GPS spoofing attacks against the system. Many recent basic DRL-based navigation systems fun…

This https://arxiv.org/abs/2410.16316 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

A Computational Harmonic Detection Algorithm to Detect Data Leakage through EM Emanation
Unintended electromagnetic emissions, called EM emanations, can be exploited to recover sensitive information, posing security risks. Metal shielding, used by defense organizations to prevent data leakage, is costly and impractical for widespread use. This issue is particularly significant for IoT devices due to their sheer volume and varied deployment environments. Therefore, there is a research need for an automated detection method to monitor facilities and address data leakage promptly. To …