Tootfinder

heise | Googles Video-KI Veo 3 ausprobiert: Kosten, Funktionen, Limits
Veo 3 verspricht fotorealistische KI-Videos mit Sound, jetzt auch in Deutschland. Das müssen Sie wissen, bevor Sie für den Google-Dienst bezahlen.

Love Without Limits
Great Australian Pods Podcast Directory: #GreatAusPods

Limits at infinity for Haj{\l}asz-Sobolev functions in metric spaces
Angha Agarwal, Antti V. V\"ah\"akangas
https://arxiv.org/abs/2506.05037 http…

Limits at infinity for Hajłasz-Sobolev functions in metric spaces
We study limits at infinity for homogeneous Hajlasz-Sobolev functions defined on uniformly perfect metric spaces equipped with a doubling measure. We prove that a quasicontinuous representative of such a function has a pointwise limit at infinity outside an exceptional set, defined in terms of a variational relative capacity. Our framework refines earlier approaches that relied on Hausdorff content rather than relative capacity, and it extends previous results for homogeneous Newtonian and frac…

Another of my forays into AI ethics is just out! This time the focus is on the ethics (or lack thereof) of Reinforcement Learning Feedback (RLF) techniques aimed at increasing the 'alignment' of LLMs.
The paper is fruit of the joint work of a great team of collaborators, among whom @… and @…

Helpful, harmless, honest? Sociotechnical limits of AI alignment and safety through Reinforcement Learning from Human Feedback - Ethics and Information Technology
This paper critically evaluates the attempts to align Artificial Intelligence (AI) systems, especially Large Language Models (LLMs), with human values and intentions through Reinforcement Learning from Feedback methods, involving either human feedback (RLHF) or AI feedback (RLAIF). Specifically, we show the shortcomings of the broadly pursued alignment goals of honesty, harmlessness, and helpfulness. Through a multidisciplinary sociotechnical critique, we examine both the theoretical underpinni…

Terminated NIH grants are being reinstated almost entirely in blue states (Anil Oza/STAT)
https://www.statnews.com/2025/07/03/nih-cuts-grant-restoration-complicated-by-limits-to-court-order-trump-dei-restrictions/
http://www.memeorandum.com/250703/p99#a250703p99

Relativistic Limits of Decoding: Critical Divergence of Kullback-Leibler Information and Free Energy
Tatsuaki Tsuruyama
https://arxiv.org/abs/2507.02596 ht…

Relativistic Limits of Decoding: Critical Divergence of Kullback-Leibler Information and Free Energy
We present a statistical mechanical framework based on the Kullback-Leibler divergence (KLD) to analyze the relativistic limits of decoding time-encoded information from a moving source. By modeling the symbol durations as entropy-maximizing sequences and treating the decoding process as context-sensitive inference, we identify KLD between the sender and receiver distributions as a key indicator of contextual mismatch. We show that, under Lorentz transformations, this divergence grows with the …

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
Bruno Felipe Costa, Taufik Abr\~ao
https://arxiv.org/abs/2506.02624 https://…

Refined Metrics, Sensing Limits, and Resource Allocation in OTFS-RSMA LEO ISAC
This paper develops an integrated OTFS-RSMA framework employing advanced SP techniques tailored for this demanding environment. We derive refined communication performance metrics, specifically SINR expressions capturing the practical effects of ICSI and ISIC. Moreover, fundamental sensing limits are established via CRB derivation incorporating parameter-dependent echo gain, linking waveform SP properties to estimation accuracy. The resource allocation is formulated as a non-convex optimization…

Supreme Court will hear challenge to limits on political party spending
The Supreme Court will hear a significant campaign finance case next term
that will examine whether it violates the Constitution to restrict the amount of money that political parties can spend in coordination with individual candidates.

The national Republican senatorial and congressional committees,
then-Sen. JD Vance (R-Ohio)
and then-Rep. Steve Chabot (R-Ohio) filed suit over the limits…

Supreme Court will hear challenge to limits on political party spending
The Republicans who sued are asking the Supreme Court to lift restrictions on how much political parties can spend on candidates, saying they violate free-speech protections.

Photos and partial footage of an FSD-enabled Tesla sideswiping a parked vehicle and hitting a woman in November 2023 shows FSD's limits; the NHTSA is probing it (Bloomberg)
https://www.bloomberg.com/features/2025-tesla-full-self-driving-crash/…

This https://arxiv.org/abs/2505.24492 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Object Centric Concept Bottlenecks
Developing high-performing, yet interpretable models remains a critical challenge in modern AI. Concept-based models (CBMs) attempt to address this by extracting human-understandable concepts from a global encoding (e.g., image encoding) and then applying a linear classifier on the resulting concept activations, enabling transparent decision-making. However, their reliance on holistic image encodings limits their expressiveness in object-centric real-world settings and thus hinders their abilit…

How Viability Limits End Up Criminalizing Pregnancy – Mother Jones
https://www.motherjones.com/politics/2025/06/pregnancy-justice-karen-thompson-viability-limits-fetal-personhood-criminalizing-pregnancy/

Resolution Limits of Non-Adaptive 20 Questions Estimation for Tracking Multiple Moving Targets
Chunsong Sun, Lin Zhou, Jingjing Wang, Weijie Yuan, Chunxiao Jiang, Alfred Hero
https://arxiv.org/abs/2507.02274

Resolution Limits of Non-Adaptive 20 Questions Estimation for Tracking Multiple Moving Targets
Motivated by the practical application of beam tracking of multiple devices in Multiple Input Multiple Output (MIMO) communication, we study the problem of non-adaptive twenty questions estimation for locating and tracking multiple moving targets under a query-dependent noisy channel. Specifically, we derive a non-asymptotic bound and a second-order asymptotic bound on resolution for optimal query procedures and provide numerical examples to illustrate our results. In particular, we demonstrate…

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
Jonathan Fried, Santiago Paternain
https://arxiv.org/abs/2506.03982 https://

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
In this work, we present a method for minimizing the time required for a redundant dual-arm robot to follow a desired relative Cartesian path at constant path speed by optimizing its joint trajectories, subject to position, velocity, and acceleration limits. The problem is reformulated as a bi-level optimization whose lower level is a convex, closed-form subproblem that maximizes path speed for a fixed trajectory, while the upper level updates the trajectory using a single-chain kinematic formu…

Tech-ASan: Two-stage check for Address Sanitizer
Yixuan Cao, Yuhong Feng, Huafeng Li, Chongyi Huang, Fangcao Jian, Haoran Li, Xu Wang
https://arxiv.org/abs/2506.05022

Tech-ASan: Two-stage check for Address Sanitizer
Address Sanitizer (ASan) is a sharp weapon for detecting memory safety violations, including temporal and spatial errors hidden in C/C++ programs during execution. However, ASan incurs significant runtime overhead, which limits its efficiency in testing large software. The overhead mainly comes from sanitizer checks due to the frequent and expensive shadow memory access. Over the past decade, many methods have been developed to speed up ASan by eliminating and accelerating sanitizer checks, how…

Mark MacKinnon begleitet ukrainische Eliteeinheiten. Einige dienten zunächst in #Kabul und kämpften jetzt an zentralen Stellen, wie #Kyjiw, Asow-Stahl und anderen.
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An elite squad of Ukrainian fighters has been battling Russian occupation on the front lines. This is the story of their war - The Glo…

This https://arxiv.org/abs/2505.02945 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The Cognitive Foundations of Economic Exchange: A Modular Framework Grounded in Behavioral Evidence
A key challenge in multi-agent AI is modeling social cooperation under realistic behavioral constraints. Many foundational concepts in economics and ethics such as "trust" or "morality" are often defined informally, without operational criteria or cognitive grounding, which limits their testability and implementation in artificial agents. Drawing on converging empirical evidence from primate behavior, infant cognition, and economic anthropology, we propose a conceptual framework composed of thr…

The Yukawa potential of a non-homogeneous sphere, with new limits on an ultralight boson
Pierre Fayet
https://arxiv.org/abs/2507.02723 https://

The Yukawa potential of a non-homogeneous sphere, with new limits on an ultralight boson
Extremely weak long-range forces may lead to apparent violations of the Equivalence Principle. The final MICROSCOPE result, leading at 95 % c.l. to $|δ| < 4.5 \times 10^{-15}$ or $6.5 \times 10^{-15}$ for a positive or negative Eötvös parameter $δ$, requires taking into account the spin of the mediator, and the sign of $Δ(Q/A_r)_{\rm{Ti-Pt}}$ ($Q$ denoting the new charge involved). A coupling to $B-L$ or $B$ should verify $|g_{B-L}|<1.1 \times 10^{-25}$ or $|g_{B}&…

Chabauty Limits of Fermat Spirals
Yohay Ailon Tevet
https://arxiv.org/abs/2506.22863 https://arxiv.org/pdf/2506.22863

Chabauty Limits of Fermat Spirals
A Fermat spiral is a set of points of the form $\sqrt{n}e^{2πiαn}$ for $α\in \mathbb{R}$. In this paper we prove that the Chabauty limits of Fermat spirals are always closed subgroups of $\mathbb{R}^2$, and conclude that no Fermat spirals are dense forests. Furthermore, we show that if $α$ is badly approximable the Chabauty limits are always lattices, for which we give a characterisation.

This https://arxiv.org/abs/2410.02908 has been replaced.
initial toot: https://mastoxiv.page/@a…

Magnon spectroscopy in the electron microscope
The miniaturisation of transistors is approaching its limits due to challenges in heat management and information transfer speed. To overcome these obstacles, emerging technologies such as spintronics are being developed, which leverage the electron's spin in addition to its charge. Local phenomena at interfaces or structural defects will greatly influence the efficiency of spin-based devices, making the ability to study and control spin wave propagation at the nano- and atomic scales a key cha…

Optimizing Software Defined Battery Systems for Transformer Protection
Sonia Martin, Obidike Nnorom Jr., Philip Levis, Ram Rajagopal
https://arxiv.org/abs/2506.03439

Optimizing Software Defined Battery Systems for Transformer Protection
Residential electric vehicle charging causes large spikes in electricity demand that risk violating neighborhood transformer power limits. Battery energy storage systems reduce these transformer limit violations, but operating them individually is not cost-optimal. Instead of individual optimization, aggregating, or sharing, these batteries leads to cost-optimal performance, but homeowners must relinquish battery control. This paper leverages virtualization to propose battery sharing optimizati…

Human stupidity knows no limits:
Experiencing extreme weather and disasters is not enough to change views on climate action
https://theconversation.com/experiencing-extreme-weather-and-disasters-is-not-…

Experiencing extreme weather and disasters is not enough to change views on climate action, study shows
A 70,000-person global study found understanding how events such as fires and floods are linked to climate change may be a key driver of support for climate action.

This https://arxiv.org/abs/2407.19004 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Weighing The Options: The Unseen Companion in LAMOST J2354 is Likely a Massive White Dwarf
LAMOST J235456.73+335625 (J2354) is a binary system hosting a $\sim 0.7~\rm M_\odot$ K dwarf and a $\sim 1.4~\rm M_\odot$ dark companion, supposedly a neutron star, in a 0.48d orbit. Here we present high- and low-resolution spectroscopy to better constrain the properties of the system. The low-resolution spectrum confirms that the luminous star is a slightly metal-poor K dwarf and strengthens the limits on any optical flux from the dimmer companion. We use the high-resolution spectra to measure…

Affine connections for Galilean and Carrollian structures: a unified perspective
Quentin Vigneron, Hamed Barzegar, James Read
https://arxiv.org/abs/2506.03936

Affine connections for Galilean and Carrollian structures: a unified perspective
We develop a classification of general Carrollian structures, permitting affine connections with both torsion and non-metricity. We compare with a recent classification of general Galilean structures in order to present a unified perspective on both. Moreover, we demonstrate how both sets of structures emerge from the most general possible Lorentzian structures in their respective limits, and we highlight the role of global hyperbolicity in constraining both structures. We then leverage this wo…

Degree functions of graded families of ideals
Steven Dale Cutkosky, Jonathan Monta\~no
https://arxiv.org/abs/2506.05248 https://arxiv…

Degree functions of graded families of ideals
We express multiplicities and degree functions of graded families of $\mathfrak{m}_R$-primary ideals in an excellent normal local ring $(R,\mathfrak{m}_R)$ as limits of intersection products. Moreover, in dimension 2, we show more refined results for divisorial filtrations. Finally, also in dimension 2, we give an example of a non-Noetherian divisorial filtration $\{I_n\}_{n\geqslant 0}$ of $\mathfrak{m}_R$-primary ideals such that the union of all the sets of Rees valuations of all the $I_n$ i…

This https://arxiv.org/abs/2406.07206 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Mean-Field Magnetohydrodynamics Models as Scaling Limits of Stochastic Induction Equations
We study the asymptotic properties of a stochastic model for the induction equations of the magnetic field in a three dimensional periodic domain. The turbulent velocity field driving the electromotive force on the magnetic field is modeled by a noise white in time. For this model we rigorously take a scaling limit leading to a deterministic model. While in case of isotropic turbulence this produces an additional dissipation in the limit model which influences also the decay rate of the Magneti…

This https://arxiv.org/abs/2504.15816 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Toward optimal-scaling DFT: stochastic Hartree theory in the thermodynamic and complete basis set limits at arbitrary temperature
We present the first mathematical analysis of stochastic density functional theory (DFT) in the context of the Hartree approximation. We motivate our analysis via the notion of nearly-optimal or $\tilde{O}(n)$ scaling with respect to the number $n$ of computational degrees of freedom, independent of the number of electrons, in both the thermodynamic and complete basis set limits. Indeed, the promise of such scaling is the primary motivation for stochastic DFT relative to conventional orbital-ba…

This https://arxiv.org/abs/2502.06765 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Are all models wrong? Fundamental limits in distribution-free empirical model falsification
In statistics and machine learning, when we train a fitted model on available data, we typically want to ensure that we are searching within a model class that contains at least one accurate model -- that is, we would like to ensure an upper bound on the model class risk (the lowest possible risk that can be attained by any model in the class). However, it is also of interest to establish lower bounds on the model class risk, for instance so that we can determine whether our fitted model is at …

This https://arxiv.org/abs/2505.04233 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Dust enrichment and growth in the earliest stages of protoplanetary disk formation
Aims. We numerically investigated dust enrichment and growth during the initial stages of protoplanetary disk formation. A particular objective was to determine the effects of various growth barriers, mimicked by imposing a series of upper permissible limits on maximum dust sizes. Methods. We used the Formation and Evolution of Stars and Disks on nested meshes (ngFEOSAD) code to simulate the three-dimensional dynamics of gas and dust under the polytropic approximation, from the gravitational co…

Learning to crawl: benefits and limits of centralized vs distributed control
Luca Gagliardi, Agnese Seminara
https://arxiv.org/abs/2506.02766 https://

Learning to crawl: benefits and limits of centralized vs distributed control
We present a model of a crawler consisting of several suckers distributed along a straight line and connected by springs. Both proprioception and control are binary: the system responds to the elongation vs compression of its springs and the suckers can either adhere or remain idle. A central pattern generator delivers a traveling wave of compression, and the crawler is tasked to learn how to control adhesion to effectively ride the wave in order to crawl. We ask what are the benefits and limit…

The growth strategy, which seems to be the only tool in mainstream politicians' kit, is broken for good.
Limits to Growth was right about collapse - resilience
https://www.resilience.org/stories/2025-05-20/limits-to-growth-was-righ…

Limits to Growth was right about collapse
The only question is whether we manage degrowth or just let it happen to us. This isn’t a neutral question. I know which one of these is worse.

This https://arxiv.org/abs/2409.08740 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Another look at qualitative properties of eigenvalues using effective Hamiltonians
The goal of this paper is to review several qualitative properties of well-known eigenvalue problems using a different perspective based on the theory of effective Hamiltonians, working exclusively on the Hopf-Cole transform of the equation. We revisit some monotonicity results as well as the derivation of several scaling limits by means of the Donsker-Varadhan formula, and we point out several differences between the case of quadratic Hamiltonians and non-quadratic ones.

Mechanical Degradation of Unentangled Polymer Melts under Uniaxial Extensional Flow
Mingchao Wang, Stephen Sanderson, Debra J. Searles
https://arxiv.org/abs/2506.03945

Mechanical Degradation of Unentangled Polymer Melts under Uniaxial Extensional Flow
Complex flow fields govern the deformation of polymers in various manufacturing processes. However, high flow rates may trigger reaction events (i.e., bond breaking or undesirable reaction of mechanophores) in raw polymeric materials, leading to the mechanical or functional debasement of manufactured structures. Additionally, it is difficult to fully characterize such molecular-level flow in the laboratory due to time- and length-scale limits. In this study, we perform non-equilibrium molecular…

High-efficiency compact optical transmitter with a total bit energy of 0.78 pJ/bit including silicon slow-light modulator and open-collector current-mode driver
Keisuke Kawahara, Tai Tsuchizawa, Noritsugu Yamamoto, Yuriko Maegami, Koji Yamada, Shinsuke Hara, Toshihiko Baba
https://arxiv.org/abs/2506.04820

High-efficiency compact optical transmitter with a total bit energy of 0.78 pJ/bit including silicon slow-light modulator and open-collector current-mode driver
Increasing datacenter demands require power-efficient optical interconnects. However, a conventional standard transmitter using a silicon rib-waveguide Mach-Zehnder modulator and voltage-mode driver has low efficiency and consumes watt-class high power and occupies a several-square-millimeter footprint, which limits large-scale integration for parallel transmission. This paper presents a transmitter consisting of a compact photonic crystal waveguide (PCW) modulator and a current-mode open-colle…

Ravens' Flowers: Knee great after sitting playoffs https://www.espn.com/nfl/story/_/id/45444887/ravens-zay-flowers-says-knee-great-sitting-playoffs

This https://arxiv.org/abs/2409.05141 has been replaced.
initial toot: https://mastoxiv.page/@a…

Modeling of the micro-focused Brillouin light scattering spectra
Although micro-focused Brillouin light scattering (BLS) has been used for more than twenty years, it lacks a complete theoretical description. This complicates the analysis of experimental data and significantly limits the information that can be obtained. To fill this knowledge gap, we have developed a semi-analytical model based on the mesoscopic continuous medium approach. The model consists of the following steps: calculation of the incident electric field and the dynamic susceptibility, ca…

This https://arxiv.org/abs/2502.03503 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Analyzing limits for in-context learning
We examine limits of in-context learning (ICL) in transformer models trained from scratch, focusing on function approximation tasks as a controlled setting to uncover fundamental behaviors. While we show empirically that transformer models can generalize, approximating unseen classes of polynomial (non linear) functions, they cannot generalize beyond certain values. We provide both empirical and mathematical arguments explaining that these limitations stem from architectural components, namely …

The near infrared airglow continuum conundrum. Constraints for ground-based faint object spectroscopy
J. K. M. Viuho (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark, Nordic Optical Telescope, Rambla Jose Ana Fernandez Perez 7, ES-38711 Brena Baja, Spain, Department of Physics and Astronomy, Aarhus University, Munkegade 120, DK-8000 Aarhus C, Denmark), J. P. U. Fynbo (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark), M. I. Andersen (Cosmic Dawn Center, Niels Bohr Institute, University of Copenhagen, Jagtvej 155A, DK-2200, Copenhagen N, Denmark)
#toXiv_bot_toot

This https://arxiv.org/abs/2406.09119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

On Modulation and Translation Invariant Operators and the Heisenberg Module
We investigate spaces of operators which are invariant under translations or modulations by lattices in phase space. The natural connection to the Heisenberg module is considered, giving results on the characterisation of such operators as limits of finite--rank operators. Discrete representations of these operators in terms of elementary objects and the composition calculus are given. Different quantisation schemes are discussed with respect to the results.

Having legal protection insurance is always a good idea to, but IMHO it’s absolutely essential for professors due to the particular context in which we work. But I find that it’s hardly ever discussed.
An obvious example is the question of the limits of academic freedom, but many potential issues are way more trivial. ⇢
#AcademicChatter

Having legal protection insurance is always a good idea to, but IMHO it’s absolutely essential for professors due to the particular context in which we work. But I find that it’s hardly ever discussed.
An obvious example is the question of the limits of academic freedom, but many potential issues are way more trivial. ⇢
#AcademicChatter

Having legal protection insurance is always a good idea to, but IMHO it’s absolutely essential for professors due to the particular context in which we work. But I find that it’s hardly ever discussed.
An obvious example is the question of the limits of academic freedom, but many potential issues are way more trivial. ⇢
#AcademicChatter

Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions
Bo Yang, Ruihuai Liang, Weixin Li, Han Wang, Xuelin Cao, Zhiwen Yu, Samson Lasaulce, M\'erouane Debbah, Mohamed-Slim Alouini, H. Vincent Poor, Chau Yuen
https://arxiv.org/abs/2507.01773

Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions
While interest in the application of generative AI (GenAI) in network optimization has surged in recent years, its rapid progress has often overshadowed critical limitations intrinsic to generative models that remain insufficiently examined in existing literature. This survey provides a comprehensive review and critical analysis of GenAI in network optimization. We focus on the two dominant paradigms of GenAI including generative diffusion models (GDMs) and large pre-trained models (LPTMs), and…

Probably stating the obvious, but for the past 30 years at least, contributing (in any capacity) on opensource projects is an excellent way to network with a global pool of top-tier folks in all the related domains, and to test the limits of your craft, plus all the work you do can be openly shared with any prospective employer. So you aren't 'volunteering' as much as you're building your portfolio in grad school, but with no student fees 😁
#fedihire #lifelonglearning

Supreme Court will hear challenge to limits on political party spending (Washington Post)
https://www.washingtonpost.com/politics/2025/06/30/supreme-court-campaign-finance-party-donor-limits/
http://www.memeorandum.com/250630/p70#a250630p70

This https://arxiv.org/abs/2412.16387 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Information Limits of Joint Community Detection and Finite Group Synchronization
The emerging problem of joint community detection and group synchronization, with applications in signal processing and machine learning, has been extensively studied in recent years. Previous research has predominantly focused on a statistical model that extends the stochastic block model~(SBM) by incorporating additional group transformations. In its simplest form, the model randomly generates a network of size $n$ that consists of two equal-sized communities, where each node $i$ is associate…

This https://arxiv.org/abs/2505.22620 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Counting big Ramsey degrees of the homogeneous and universal $K_4$-free graph
Big Ramsey degrees of Fraïssé limits of finitely constrained free amalgamation classes in finite binary languages have been recently fully characterised by Balko, Chodounský, Dobrinen, Hubička, Konečný, Vena, and Zucker. A special case of this characterisation is the universal homogeneous $K_4$-free graph. We give a self-contained and relatively compact presentation of this case and compute the actual big Ramsey degrees of small graphs.

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Bijin Joseph, Christoph Riedl, Alex Pentland, Esteban Moro
https://arxiv.org/abs/2507.01817

When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Social learning is a fundamental mechanism shaping decision-making across numerous social networks, including social trading platforms. In those platforms, investors combine traditional investing with copying the behavior of others. However, the underlying factors that drive mirroring decisions and their impact on performance remain poorly understood. Using high-resolution data on trades and social interactions from a large social trading platform, we uncover a fundamental tension between popul…

Effectively Identifying Wi-Fi Devices through State Transitions
Melissa Safari, Abhishek K. Mishra, Mathieu Cunche
https://arxiv.org/abs/2507.02478 https:/…

Effectively Identifying Wi-Fi Devices through State Transitions
Wi-Fi management frames reveal structured communication patterns that persist even under randomization of MAC addresses. Prior approaches to associating randomized MAC addresses with devices primarily focus on probe requests, overlooking the broader set of management frames and their transition dynamics. This narrow focus limits their robustness in dense, real-world environments with high device mobility, where probe activity alone fails to yield stable and distinctive signatures. In this paper…

An Improved Grey Wolf Optimizer Inspired by Advanced Cooperative Predation for UAV Shortest Path Planning
Zuhao Teng, Qian Dong, Ze Zhang, Shuangyao Huang, Wenzhang Zhang, Jingchen Wang, Ji Li, Xi Chen
https://arxiv.org/abs/2506.03663

An Improved Grey Wolf Optimizer Inspired by Advanced Cooperative Predation for UAV Shortest Path Planning
With the widespread application of Unmanned Aerial Vehicles (UAVs) in domains like military reconnaissance, emergency rescue, and logistics delivery, efficiently planning the shortest flight path has become a critical challenge. Traditional heuristic-based methods often suffer from the inability to escape from local optima, which limits their effectiveness in finding the shortest path. To address these issues, a novel Improved Grey Wolf Optimizer (IGWO) is presented in this study. The proposed …

This https://arxiv.org/abs/2505.02488 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Limits over orbit categories of locally finite groups
We correct an error in the paper [BLO3], and take the opportunity to examine in more detail the derived functors of inverse limits over orbit categories of (infinite) locally finite groups. The main results show how to reduce this in many cases to limits over orbit categories of finite groups, but we also look at generalizations of the Lyndon-Hochschild-Serre spectral sequence for higher limits over orbit categories for an extension of locally finite groups.

Mazzaroth: A High-Throughput DAG Consensus with State Root
Haohan Li
https://arxiv.org/abs/2506.01960 https://arxiv.org/pdf/2506.0196…

Mazzaroth: A High-Throughput DAG Consensus with State Root
Nakamoto Consensus achieves a decentralized ledger through a single-chain blockchain, assuming a maximum network delay, which limits block generation speed, resulting in low throughput. \cite{pg2018} (PG) enhances throughput using a blockDAG structure, but its probabilistic confirmation restricts smart contract applications. To address this, Mazzaroth proposes a Pow-based blockDAG consensus, employing a linear ordering algorithm to compute the \cite{eth} and achieve state finality, thereby supp…

This https://arxiv.org/abs/2410.13219 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Fundamental Limits of Pulse Based UWB ISAC Systems: A Parameter Estimation Perspective
This paper investigates a bi-static integrated sensing and communication (ISAC) system for multi-target scenarios using impulse radio ultra-wideband (IR-UWB) signals, which offer fine temporal resolution, low power consumption, and strong resistance to multipath interference. Two typical modulation schemes, namely pulse position modulation (PPM) and binary phase shift keying (BPSK), are considered for communication over the delay and phase domains, respectively. Accordingly, we introduce a pilo…

NetChoice sues Arkansas over two laws that would put limits on social media content and let parents of children who died by suicide sue over platform content (Andrew Demillo/Associated Press)
https://apnews.com/article/net-choice-ar…

Tech industry group sues Arkansas over new social media laws
A tech industry trade group has sued Arkansas over two new law placing limits on content on social media platforms. The lawsuit was filed Friday in federal court by NetChoice, whose members include TikTok, Facebook parent Meta, and X, formerly known as Twitter. The lawsuit comes months after a federal judge struck down an Arkansas law that would have required parental consent for minors to create new social media accounts. The new laws the group is challenging include one that would allow paren…

From Coarse to Fine-Grained Emotion Annotation: An Immediate Recall Paradigm with Validation through Physiological Evidence and Recognition Performance
Hao Tang, Songyun Xie, Xinzhou Xie, Can Liao, Xin Zhang, Bohan Li, Zhongyu Tian, Dalu Zheng
https://arxiv.org/abs/2507.02350

From Coarse to Fine-Grained Emotion Annotation: An Immediate Recall Paradigm with Validation through Physiological Evidence and Recognition Performance
Traditional video-induced emotion physiological datasets often use whole-trial annotation, assigning a single emotion label to all data collected during an entire trial. This coarse-grained annotation approach misaligns with the dynamic and temporally localized nature of emotional responses as they unfold with video narratives, introducing label noise that limits emotion recognition algorithm evaluation and performance. To solve the label noise problem caused by coarse-grained annotation, we pr…

Dark Matter Induced Neutron Production Search Limits
Haichuan Cao, David Koltick
https://arxiv.org/abs/2506.22659 https://arxiv.org/p…

Dark Matter Induced Neutron Production Search Limits
An independent indirect detection search for Dark Matter-Matter (DM-M) interactions is undertaken to set cross section limits based on neutron production data collected by the NMDS-II detector for 1440 hours at 1166 m.w.e. and 6504 hours at 583 m.w.e.. The detector system consists of a 30 cm cube Pb-target instrumented with 60 $^3$He neutron counters. The neutron detector system calibrated with a $^{252}$Cf source yields a single particle detection efficiency of 23.2\%$\pm$1.2\%. During data co…

Transient dynamics of associative memory models
David G. Clark
https://arxiv.org/abs/2506.05303 https://arxiv.org/pdf/2506.05303

Transient dynamics of associative memory models
Associative memory models such as the Hopfield network and its dense generalizations with higher-order interactions exhibit a "blackout catastrophe"--a discontinuous transition where stable memory states abruptly vanish when the number of stored patterns exceeds a critical capacity. This transition is often interpreted as rendering networks unusable beyond capacity limits. We argue that this interpretation is largely an artifact of the equilibrium perspective. We derive dynamical mean-field equ…

This https://arxiv.org/abs/2504.19364 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

A Perturbatively Stable Non-Supersymmetric String Model with AdS Vacuum
We present a construction of a perturbatively stable non-supersymmetric type II closed string model in four dimensions. It is based on a freely acting Scherk-Schwarz Z2-deformation of a supersymmetric construction which is recovered in appropriate decompactification limits. The model exhibits also the so-called misaligned supersymmetry with alternating signs for the number difference between bosons and fermions at successive mass levels. The tree-level spectrum is tachyon free for any value of …

Revisiting Isocurvature Bounds on the Minimal QCD Axion
Peter W. Graham, Davide Racco
https://arxiv.org/abs/2506.03348 https://arxiv.…

Revisiting Isocurvature Bounds on the Minimal QCD Axion
The QCD axion has important connections to early universe cosmology. For example, it is often said that isocurvature limits rule out a combination of high axion decay constant, $f_a$, and high inflationary Hubble scale, $H_I$. High scales are theoretically motivated, so it is important to ask how robust this constraint is. We demonstrate that this constraint is naturally evaded when the quartic coupling of the complex $U(1)_\mathrm{PQ}$-breaking field is small. In this case, $f_a$ changes from …

France shuts schools, Italy limits outdoor work as sweltering heatwave grips Europe
Enjoy a cool day!

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
Ranjan Sapkota, Zhichao Meng, Martin Churuvija, Xiaoqiang Du, Zenghong Ma, Manoj Karkee
https://arxiv.org/abs/2507.01912

3D Reconstruction and Information Fusion between Dormant and Canopy Seasons in Commercial Orchards Using Deep Learning and Fast GICP
In orchard automation, dense foliage during the canopy season severely occludes tree structures, minimizing visibility to various canopy parts such as trunks and branches, which limits the ability of a machine vision system. However, canopy structure is more open and visible during the dormant season when trees are defoliated. In this work, we present an information fusion framework that integrates multi-seasonal structural data to support robotic and automated crop load management during the e…

This https://arxiv.org/abs/2506.03439 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Optimizing Software Defined Battery Systems for Transformer Protection
Residential electric vehicle charging causes large spikes in electricity demand that risk violating neighborhood transformer power limits. Battery energy storage systems reduce these transformer limit violations, but operating them individually is not cost-optimal. Instead of individual optimization, aggregating, or sharing, these batteries leads to cost-optimal performance, but homeowners must relinquish battery control. This paper leverages virtualization to propose battery sharing optimizati…

This https://arxiv.org/abs/2504.14515 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A robust mixed-effects quantile regression model using generalized Laplace mixtures to handle outliers and skewness
Mixed-effects quantile regression models are widely used to capture heterogeneous responses in hierarchically structured data. The asymmetric Laplace (AL) distribution has traditionally served as the basis for quantile regression; however, its fixed skewness limits flexibility and renders it sensitive to outliers. In contrast, the generalized asymmetric Laplace (GAL) distribution enables more flexible modeling of skewness and heavy-tailed behavior, yet it remains vulnerable to extreme observati…

Linking number of grid models
Senja Barthel, Yuka Kotorii
https://arxiv.org/abs/2506.02369 https://arxiv.org/pdf/2506.02369

Linking number of grid models
This paper studies the linking numbers of random links within the grid model. The linking number is treated as a random variable on the isotopy classes of 2-component links, with the paper exploring its asymptotic growth as the diagram size increases. The main result is that the $u$th moment of the linking number for a random link is a polynomial in the grid size with degree $d\leq u$, and all odd moments vanishing. The limits of the moments of the normalized linking number are computed, and it…

LLMs for Legal Subsumption in German Employment Contracts
Oliver Wardas, Florian Matthes
https://arxiv.org/abs/2507.01734 https://arx…

LLMs for Legal Subsumption in German Employment Contracts
Legal work, characterized by its text-heavy and resource-intensive nature, presents unique challenges and opportunities for NLP research. While data-driven approaches have advanced the field, their lack of interpretability and trustworthiness limits their applicability in dynamic legal environments. To address these issues, we collaborated with legal experts to extend an existing dataset and explored the use of Large Language Models (LLMs) and in-context learning to evaluate the legality of cla…

David Cope, a composer and algorithmic composition pioneer who created a program in the 1980s to write music in the style of Bach and others, died at age 83 (Miguel Salazar/New York Times)
https://www.nytimes.com/2025/06/02/technology/david-cope-dead-ai…

David Cope, Godfather of A.I. Music, Is Dead at 83
His EMI algorithm, an early form of artificial intelligence that he developed in the 1980s, prompted searching questions about the limits of human creativity.

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by nano-GPT
Wenqi Zeng, Lu Zhang, Yuan Yao
https://arxiv.org/abs/2507.02734 h…

Leveraging Transformer Models to Capture Multi-Scale Dynamics in Biomolecules by nano-GPT
Long-term biomolecular dynamics are critical for understanding key evolutionary transformations in molecular systems. However, capturing these processes requires extended simulation timescales that often exceed the practical limits of conventional models. To address this, shorter simulations, initialized with diverse perturbations, are commonly used to sample phase space and explore a wide range of behaviors. Recent advances have leveraged language models to infer long-term behavior from short …

Pushing the Limits of Beam Search Decoding for Transducer-based ASR models
Lilit Grigoryan, Vladimir Bataev, Andrei Andrusenko, Hainan Xu, Vitaly Lavrukhin, Boris Ginsburg
https://arxiv.org/abs/2506.00185

Pushing the Limits of Beam Search Decoding for Transducer-based ASR models
Transducer models have emerged as a promising choice for end-to-end ASR systems, offering a balanced trade-off between recognition accuracy, streaming capabilities, and inference speed in greedy decoding. However, beam search significantly slows down Transducers due to repeated evaluations of key network components, limiting practical applications. This paper introduces a universal method to accelerate beam search for Transducers, enabling the implementation of two optimized algorithms: ALSD++ …

This https://arxiv.org/abs/2502.19961 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

High-contrast spectroscopy with the new VLT/ERIS instrument: Molecular maps and radial velocity of the gas giant AF Lep b
The Enhanced Resolution Imager and Spectrograph (ERIS) is the new Adaptive-Optics (AO) assisted Infrared instrument at the Very Large Telescope (VLT). Its refurbished Integral Field Spectrograph (IFS) SPIFFIER leverages a new AO module, enabling high-contrast imaging applications and giving access to the orbital and atmospheric characterisation of super-Jovian exoplanets. We test the detection limits of ERIS and demonstrate its scientific potential by exploring the atmospheric composition of th…

EPA Has Terminated Over $15 Million in Funding for “Forever Chemicals” Research
The EPA said in May that it will delay enforcement on the drinking water limits for PFOA and PFOS until 2031.
https://www.propublica.org/article/trump-epa-pfas-drinking-water

Trump’s First EPA Promised to Crack Down on Forever Chemicals. His Second EPA Is Pulling Back.
EPA Administrator Lee Zeldin claims to prioritize combatting long-lasting chemicals called PFAS. Despite this, the agency has delayed enforcement of standards and terminated over $15 million in funding for “forever chemicals” research.

This https://arxiv.org/abs/2505.13556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Learning Collision Risk from Naturalistic Driving with Generalised Surrogate Safety Measures
Accurate and timely alerts for drivers or automated systems to unfolding collisions remains a challenge in road safety, particularly in highly interactive urban traffic. Existing approaches require labour-intensive annotation of sparse risk, struggle to consider varying contextual factors, or are useful only in the scenarios they are designed for. To address these limits, this study introduces the generalised surrogate safety measure (GSSM), a new approach that learns exclusively from naturalis…

This https://arxiv.org/abs/2504.02640 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csMM_…

RoSMM: A Robust and Secure Multi-Modal Watermarking Framework for Diffusion Models
Current image watermarking technologies are predominantly categorized into text watermarking techniques and image steganography; however, few methods can simultaneously handle text and image-based watermark data, which limits their applicability in complex digital environments. This paper introduces an innovative multi-modal watermarking approach, drawing on the concept of vector discretization in encoder-based vector quantization. By constructing adjacency matrices, the proposed method enables…

FDA significantly limits COVID-19 vaccine recommendations. Well, #COVID19 IS gone! Isn't it??
https://www.cidrap.umn.edu/covid-19/fda-significantly-limits-covid-19-vaccine-recommendations

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Zilin Kang, Chenyuan Hu, Yu Luo, Zhecheng Yuan, Ruijie Zheng, Huazhe Xu
https://arxiv.org/abs/2507.02712

A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
Deep reinforcement learning for continuous control has recently achieved impressive progress. However, existing methods often suffer from primacy bias, a tendency to overfit early experiences stored in the replay buffer, which limits an RL agent's sample efficiency and generalizability. In contrast, humans are less susceptible to such bias, partly due to infantile amnesia, where the formation of new neurons disrupts early memory traces, leading to the forgetting of initial experiences. Inspired…

This https://arxiv.org/abs/2405.10298 has been replaced.
initial toot: https://mastoxiv.page/@a…

Heavy-element damage seeding in proteins under XFEL illumination
Serial femtosecond X-ray crystallography (SFX) captures the structure and dynamics of biological macromolecules at high spatial and temporal resolutions. The ultrashort pulse produced by an X-ray free electron laser (XFEL) 'outruns' much of the radiation damage that impairs conventional crystallography. However, the rapid onset of 'electronic damage' due to ionization limits this benefit. Here, we distinguish the influence of different atomic species on the ionization of protein crystals by emp…

Non-Gaussian enhancement of precision in quantum batteries
Beatriz Polo, Federico Centrone
https://arxiv.org/abs/2505.24604 https://a…

Non-Gaussian enhancement of precision in quantum batteries
We investigate the fundamental limits of converting light into useful work, with a focus on the role of quantum resources in energy harvesting processes. Specifically, we analyze how quantum coherence, non-Gaussianity, and entanglement affect the fluctuations in the energy output of bosonic quantum batteries. Our findings reveal potential pathways to enhance the efficiency and stability of energy extraction from quantum batteries, with implications for the development of quantum thermal machine…

Satellite Constellations Exceed the Limits of Acceptable Brightness Established by the IAU
Anthony Mallama, Richard E. Cole
https://arxiv.org/abs/2507.00107

Satellite Constellations Exceed the Limits of Acceptable Brightness Established by the IAU
Brightness statistics for satellites of the Starlink, BlueBird, Qianfan, Guowang and OneWeb constellations are reported. The means and standard deviations are compared to acceptable limits set by the International Astronomical Union's Centre for the Protection of the Dark and Quiet Sky From Satellite Constellations Interference. Nearly all these spacecraft exceed the magnitude 7+ brightness limit pertaining to interference with professional research. Most also exceed the magnitude 6 reference w…

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
Sixu Li, Yang Zhou
https://arxiv.org/abs/2505.24029

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
This paper presents a framework grounded in the theory of describing function (DF) and incremental-input DF to theoretically analyze the nonlinear oscillatory response of automated vehicles (AVs) car-following (CF) amidst traffic oscillations, considering the limits of traffic state and control input. While prevailing approaches largely ignore these limits (i.e., saturation of acceleration/deceleration and speed) and focus on linear string stability analysis, this framework establishes a basis …

Dissociation limits in Density Functional Theory
Guy Bouchitt\'e, Giuseppe Buttazzo, Thierry Champion, Luigi De Pascale
https://arxiv.org/abs/2507.00063

Dissociation limits in Density Functional Theory
In this paper we consider the {\it Density Functional Theory} (DFT) framework, where a functional of the form $$F_\eps(ρ)=\eps T(ρ)+bC(ρ)-U(ρ)$$ has to be minimized in the class of non-negative measures $ρ$ which have a prescribed total mass $m$ (the total electronic charge). The parameter $\eps$ is small and the terms $T$, $C$, $U$ respectively represent the kinetic energy, the electronic repulsive correlation, the potential interaction term between electrons and nuclei. Several expressio…

This https://arxiv.org/abs/2305.14851 has been replaced.
link: https://scholar.google.com/scholar?q=a

Sharpness-Aware Data Poisoning Attack
Recent research has highlighted the vulnerability of Deep Neural Networks (DNNs) against data poisoning attacks. These attacks aim to inject poisoning samples into the models' training dataset such that the trained models have inference failures. While previous studies have executed different types of attacks, one major challenge that greatly limits their effectiveness is the uncertainty of the re-training process after the injection of poisoning samples, including the re-training initializatio…

This https://arxiv.org/abs/2502.01536 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion
Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed in real-world environments due to sim-to-real gaps, as simulators typically fail to replicate visual realism and complex real-world geometry. Moreover, the lack of realistic visual rendering limits the ability of these policies to support high-level tasks requiring RGB-based perception like ego-centric navi…

Limits to Growth was right about collapse.
"This improved parameter set results in a World3 simulation that shows the same overshoot and collapse mode in the coming decade as the original business as usual scenario of the LtG standard run."
https://www.re…

Limits to Growth was right about collapse
The only question is whether we manage degrowth or just let it happen to us. This isn’t a neutral question. I know which one of these is worse.

Defining DLT Immutability: A Qualitative Survey of Node Operators
Alex Lynham, Geoff Goodell
https://arxiv.org/abs/2507.02413 https://

Defining DLT Immutability: A Qualitative Survey of Node Operators
Immutability is a core design goal of permissionless public blockchain systems. However, rewrites are more common than is normally understood, and the risk of rewrite, cyberattack, exploit or black swan event is also high. Taking the position that strict immutability is neither possible on these networks nor the observed reality, this paper uses thematic analysis of node operator interviews to examine the limits of immutability in light of rewrite events. The end result is a qualitative definit…

This https://arxiv.org/abs/2506.02779 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will start by the end of 2025 and operate for ten years, offering billions of observations of the southern night sky. One of its main science goals is to create an inventory of the Solar System, allowing for a more detailed understanding of small body populations including the Centaurs, which will benefit from the survey's high cadence and depth. In this paper, we establish the first discovery limits for Centaurs throughout th…

Experimental Covert Communication Using Software-Defined Radio
Rohan Bali, Trevor E. Bailey, Michael S. Bullock, Boulat A. Bash
https://arxiv.org/abs/2506.02297

Experimental Covert Communication Using Software-Defined Radio
The fundamental information-theoretic limits of covert, or low probability of detection (LPD), communication have been extensively studied for over a decade, resulting in the square root law (SRL): only $L\sqrt{n}$ covert bits can be reliably transmitted over time-bandwidth product $n$, for constant $L>0$. Transmitting more either results in detection or decoding errors. The SRL imposes significant constraints on hardware realization of provably-secure covert communication. Thus, experimental v…

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Zhongwei Wan, Zhihao Dou, Che Liu, Yu Zhang, Dongfei Cui, Qinjian Zhao, Hui Shen, Jing Xiong, Yi Xin, Yifan Jiang, Yangfan He, Mi Zhang, Shen Yan
https://arxiv.org/abs/2506.01713

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning
Multimodal large language models (MLLMs) have shown promising capabilities in reasoning tasks, yet still struggle with complex problems requiring explicit self-reflection and self-correction, especially compared to their unimodal text-based counterparts. Existing reflection methods are simplistic and struggle to generate meaningful and instructive feedback, as the reasoning ability and knowledge limits of pre-trained models are largely fixed during initial training. To overcome these challenges…

Soft Coulomb Gap Limits the Performance of Organic Thermoelectrics
Yuqian Liu, Xiaoran Wei, Dorothea Scheunemann, Maojie Zhang, Wanlu Zhang, Martijn Kemerink, Guangzheng Zuo
https://arxiv.org/abs/2506.23597

Soft Coulomb Gap Limits the Performance of Organic Thermoelectrics
Although consensus exists that the thermoelectric properties of doped organic semiconductors result from a complex interplay between a large number of mutually dependent factors, there is no consensus on which of these are dominant, or even on how to best describe the charge and energy transport. This holds particularly in the intermediate doping regime where the optimal performance is typically observed at the roll-off in the Seebeck coefficient - conductivity (S-σ correlation, fundamentally …

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
- When Influence Misleads: Informational and Strategic Limits of Social Learning in Trading Networks
Bijin Joseph, Christoph Riedl, Alex Pentland, Esteban Moro

On Loops in critical high-dimensional percolation
Amelia Carpenter, Wendelin Werner
https://arxiv.org/abs/2507.02676 https://arxiv.or…

On Loops in critical high-dimensional percolation
We discuss the following type of results about critical Bernoulli percolation in high dimensions: The collection of clusters that do contain large (self-avoiding) loops in a large box is tight. The collection of these large loops has scaling limits that one will be able to relate to Brownian loop-soups (each of these atypical loop-containing clusters does in some sense only contain one large self-avoiding loop in the sense that any two such loops will be very close). This feature contrasts with…

S-algebra in Gauge Theory: Twistor, Spacetime and Holographic Perspectives
Adam Kmec, Lionel Mason, Romain Ruzziconi, Atul Sharma
https://arxiv.org/abs/2506.01888

S-algebra in Gauge Theory: Twistor, Spacetime and Holographic Perspectives
The celestial $S$-algebra arose from a reinterpretation of collinear limits of the Yang-Mills S-matrix as OPEs in celestial holography. It was subsequently represented via asymptotic charge aspects defined in the Yang-Mills radiative phase space defined at null infinity on the one hand, and via a twisted holography vertex algebra construction in twistor space on the other. Here we first identify it with the traditional symmetry algebra of self-dual Yang-Mills theory as an integrable system via …

Single Photon Emitters in Ultra-Thin Hexagonal Boron Nitride Layers
Le Liu, Igor Khanonkin, Johannes Eberle, Bernhard Rizek, Stefan F\"alt, Kenji Watanabe, Takashi Taniguchi, Ata\c{c} Imamo\u{g}lu, Martin Kroner
https://arxiv.org/abs/2507.02633

Single Photon Emitters in Ultra-Thin Hexagonal Boron Nitride Layers
Single-photon emitters (SPE) in hexagonal boron nitride (h-BN) are promising for applications ranging from single-photon sources to quantum sensors. Previous studies exclusively focused on the generation and characterization of SPEs in relatively thick h-BN layers ($\geq$ 30 nm). However, for electrical and magnetic sensing applications, the thickness of the h-BN limits the attainable spatial resolution. Here, we report the observation of blue-wavelength emitters (B-centers) activated by electr…

Passive Multi-Target Visible Light Positioning Based on Multi-Camera Joint Optimization
Wenxuan Pan, Yang Yang, Dong Wei, Meng Zhang, Zhiyu Zhu
https://arxiv.org/abs/2506.02418

Passive Multi-Target Visible Light Positioning Based on Multi-Camera Joint Optimization
Camera-based visible light positioning (VLP) has emerged as a promising indoor positioning technique. However, the need for dedicated LED infrastructure and on-target cameras in existing algorithms limits their scalability and increases deployment costs. To address these limitations, this letter proposes a passive VLP algorithm based on Multi-Camera Joint Optimization (MCJO). In the considered system, multiple pre-calibrated cameras mounted on the ceiling continuously capture images of position…

Trump’s tariffs are running up against the limits of nature
The deeper you delve into the weird and wonderful world of aluminum,
the more you realize there are physical limits that make a resurgence of U.S. production unlikely.

Raw supply isn’t the problem.
There is more aluminum in the Earth’s crust than any other metal.
But finding a way of extracting it and turning it into a usable form was something we achieved surprisingly recently. -- Until then, it was the mo…

Trump’s tariffs are running up against the limits of nature
U.S. geography makes it difficult to produce more aluminum — even with a 50 percent tariff for motivation.

NetChoice sues Arkansas over two laws that would put limits on social media content and let parents of children who died by suicide sue over platform content (Andrew Demillo/Associated Press)
https://apnews.com/article/net-choice-ar…

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models
Philip Quirke, Narmeen Oozeer, Chaithanya Bandi, Amir Abdullah, Jason Hoelscher-Obermaier, Jeff M. Phillips, Joshua Greaves, Clement Neo, Fazl Barez, Shriyash Upadhyay
https://arxiv.org/abs/2506.00051

Beyond Monoliths: Expert Orchestration for More Capable, Democratic, and Safe Large Language Models
This position paper argues that the prevailing trajectory toward ever larger, more expensive generalist foundation models controlled by a handful of big companies limits innovation and constrains progress. We challenge this approach by advocating for an "Expert Orchestration" framework as a superior alternative that democratizes LLM advancement. Our proposed framework intelligently selects from thousands of existing models based on query requirements and decomposition, focusing on identifying w…

This https://arxiv.org/abs/2503.00339 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Falcon: Fast Visuomotor Policies via Partial Denoising
Diffusion policies are widely adopted in complex visuomotor tasks for their ability to capture multimodal action distributions. However, the multiple sampling steps required for action generation significantly harm real-time inference efficiency, which limits their applicability in real-time decision-making scenarios. Existing acceleration techniques either require retraining or degrade performance under low sampling steps. Here we propose Falcon, which mitigates this speed-performance trade-of…

AREE-Based Decoupled Design of Hybrid Beamformers in mmWave XL-MIMO Systems
Jiazhe Li, Nicol\`o Decarli, Francesco Guidi, Heng Dong, Anna Guerra, Alessandro Bazzi, Zhuoming Li
https://arxiv.org/abs/2507.02802

AREE-Based Decoupled Design of Hybrid Beamformers in mmWave XL-MIMO Systems
Hybrid beamforming has been widely employed in mmWave communications such as vehicular-to-everything (V2X) scenarios, as a compromise between hardware complexity and spectral efficiency. However, the inherent coupling between analog and digital precoders in hybrid array architecture significantly limits the computational and spectral efficiency of existing algorithms. To address this issue, we propose an alternating residual error elimination (AREE) algorithm, which decomposes the hybrid beamfo…

SIL Allocation for Mitigation Safety Functions
Hamid Jahanian
https://arxiv.org/abs/2506.02309 https://arxiv.org/pdf/2506.02309

SIL Allocation for Mitigation Safety Functions
SIL (Safety Integrity Level) allocation plays a pivotal role in evaluating the significance of Safety Functions (SFs) within high-risk industries. The outcomes of a SIL allocation study determine the design specifications necessary to uphold the Probability of Failure on Demand (PFD) below permissible limits, thus managing risk effectively. While extensive research has focused on SIL allocation for preventive SFs, there is a noticeable gap in attention towards mitigation SFs. To address this ga…

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
Joseph Murtagh, Megan E. Schwamb, Stephanie R. Merritt, Pedro H. Bernardinelli, Jacob A. Kurlander, Samuel Cornwall, Mario Juri\'c, Grigori Fedorets, Matthew J. Holman, Siegfried Eggl, David Nesvorn\'y, Kathryn Volk, R. Lynne Jones, Peter Yoachim, Joachim Moeyens, Jeremy Kubica, Drew Oldag, Maxine West, Colin Orion Chandler

Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will start by the end of 2025 and operate for ten years, offering billions of observations of the southern night sky. One of its main science goals is to create an inventory of the Solar System, allowing for a more detailed understanding of small body populations including the Centaurs, which will benefit from the survey's high cadence and depth. In this paper, we establish the first discovery limits for Centaurs throughout th…

Globally Consistent RGB-D SLAM with 2D Gaussian Splatting
Xingguang Zhong, Yue Pan, Liren Jin, Marija Popovi\'c, Jens Behley, Cyrill Stachniss
https://arxiv.org/abs/2506.00970

Globally Consistent RGB-D SLAM with 2D Gaussian Splatting
Recently, 3D Gaussian splatting-based RGB-D SLAM displays remarkable performance of high-fidelity 3D reconstruction. However, the lack of depth rendering consistency and efficient loop closure limits the quality of its geometric reconstructions and its ability to perform globally consistent mapping online. In this paper, we present 2DGS-SLAM, an RGB-D SLAM system using 2D Gaussian splatting as the map representation. By leveraging the depth-consistent rendering property of the 2D variant, we pr…

SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation
Rafael Flor-Rodr\'iguez, Carlos Guti\'errez-\'Alvarez, Francisco Javier Acevedo-Rodr\'iguez, Sergio Lafuente-Arroyo, Roberto J. L\'opez-Sastre
https://arxiv.org/abs/2506.01418

SEMNAV: A Semantic Segmentation-Driven Approach to Visual Semantic Navigation
Visual Semantic Navigation (VSN) is a fundamental problem in robotics, where an agent must navigate toward a target object in an unknown environment, mainly using visual information. Most state-of-the-art VSN models are trained in simulation environments, where rendered scenes of the real world are used, at best. These approaches typically rely on raw RGB data from the virtual scenes, which limits their ability to generalize to real-world environments due to domain adaptation issues. To tackle …