Tootfinder

IP over ice blocks
Wissenschaftler entdecken eine Möglichkeit, wie man mittels Luftbläschen im Eis Nachrichten kodieren und übertragen kann.
https://www.cell.com/cell-reports-physical-science/fulltext/S2666-3864(25)00221-8

FieldFormer: Self-supervised Reconstruction of Physical Fields via Tensor Attention Prior
Panqi Chen, Siyuan Li, Lei Cheng, Xiao Fu, Yik-Chung Wu, Sergios Theodoridis
https://arxiv.org/abs/2506.11629

FieldFormer: Self-supervised Reconstruction of Physical Fields via Tensor Attention Prior
Reconstructing physical field tensors from \textit{in situ} observations, such as radio maps and ocean sound speed fields, is crucial for enabling environment-aware decision making in various applications, e.g., wireless communications and underwater acoustics. Field data reconstruction is often challenging, due to the limited and noisy nature of the observations, necessitating the incorporation of prior information to aid the reconstruction process. Deep neural network-based data-driven struct…

AI Agent Architecture for Decentralized Trading of Alternative Assets
Ailiya Borjigin, Cong He, Charles CC Lee, Wei Zhou
https://arxiv.org/abs/2507.11117 h…

AI Agent Architecture for Decentralized Trading of Alternative Assets
Decentralized trading of real-world alternative assets (e.g., gold) requires bridging physical asset custody with blockchain systems while meeting strict requirements for compliance, liquidity, and risk management. We present GoldMine OS, a research oriented architecture that employs multiple specialized AI agents to automate and secure the tokenization and exchange of physical gold into a blockchain based stablecoin ("OZ"). Our approach combines on chain smart contracts for critical risk contr…

Physical Constraint Preserving Higher Order Finite Volume Schemes for Divergence-Free Astrophysical MHD and RMHD
Dinshaw S. Balsara, Deepak Bhoriya, Chetan Singh, Harish Kumar, Roger K\"appeli, Federico Gatti
https://arxiv.org/abs/2506.11181

Physical Constraint Preserving Higher Order Finite Volume Schemes for Divergence-Free Astrophysical MHD and RMHD
Higher order finite volume schemes for magnetohydrodynamics (MHD) and relativistic magnetohydrodynamics (RMHD) are very valuable because they allow us to carry out astrophysical simulations with very high accuracy. However, astrophysical problems sometimes have unusually large Mach numbers, exceptionally high Lorentz factors and very strong magnetic fields. All these effects cause higher order codes to become brittle and prone to code crashes. In this paper we document physical constraint prese…

this might be one of the _least_ specific (but not completely non-specific) paragraphs in any specification i've ever read

copenhagen: Copenhagen Networks Study
A network of social interactions among university students within the Copenhagen Networks Study, over a period of four weeks, sampled every 5 minutes. Interactions include physical proximity (undirected), phone calls (directed, weighted), text messages (directed), and information about Facebook friendships (undirected). Nodes include some metadata, including gender.
This network has 568 nodes and 24333 edges.
Tags: Social, Offline, Unwe…

I don’t have a father. My adoptive father was an abuser (physical, emotional, & sexual) who croaked more than a decade ago, & my bio father passed away at age 59 (before I identified him, sadly). But Mr. Boots is a father AND a dad, so let’s all wish him a very happy #FathersDay —I’m gonna cook him a delicious steak & baked potato dinner! 🥰

I had ONE meeting that required my physical presence at work today.
That one meeting got cancelled 10 minutes after I got to work.
I could be at home right now being x2 productive in my pajamas with coffee that doesn't suck.
Me:

A report on Gregg Wallace substantiates 45 allegations made against the former BBC presenter, including claims of unwelcome physical contact (Michael Savage/The Guardian)
https://www.theguardian.com/tv-and-radio/2025/jul/14/report-g…

I rarely pre-order ANYTHING, much less a game, but sometimes I make exceptions. I've been wanting to grab Dezatopia on Switch for so long, it's literally the first thing I ever put on my Switch wishlist many years ago (which now has like, a couple hundred games on it). I was waiting for it to go on sale but it never really did. I'm glad I waited, really. I dig physical games, and now there's this combo that includes Mecha Ritz. GREAT bang for the buck. I'll of course post…

CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment
Stefano Longari, Alessandro Pozone, Jessica Leoni, Mario Polino, Michele Carminati, Mara Tanelli, Stefano Zanero
https://arxiv.org/abs/2506.10638

CyFence: Securing Cyber-Physical Controllers via Trusted Execution Environment
In the last decades, Cyber-physical Systems (CPSs) have experienced a significant technological evolution and increased connectivity, at the cost of greater exposure to cyber-attacks. Since many CPS are used in safety-critical systems, such attacks entail high risks and potential safety harms. Although several defense strategies have been proposed, they rarely exploit the cyber-physical nature of the system. In this work, we exploit the nature of CPS by proposing CyFence, a novel architecture t…

#Blakes7 Series B, Episode 10 - Voice from the Past
AVON: [Restrains Blake] Blake.
BLAKE: Renounce!
AVON: Easy, easy!
BLAKE: Renounce!
AVON: [To Cally] Tranquilizer pack!
BLAKE: Renounce! [Cally administers the tranquilizer pack. Blake subsides]

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

🇺🇦 #NowPlaying on KEXP's #Early
Olivia Newton‐John:
🎵 Physical
#OliviaNewtonJohn
https://thesmudge.bandcamp.com/track/strss-tst
https://open.spotify.com/track/4gitetlGHZ9LfuJhwUhEhF

I love how the “#ColeValley Town Square” pop-up turns Carl St. into a relaxed oasis. It’s a great proof-of-concept for permanently closing the street where the #NJudah emerges from the Sunset Tunnel (and extending the footprint of Gamble Memorial Park).

"If you always put limits on everything you do, physical or anything else. It will spread into your work and into your life. There are no limits. There are only plateaus, and you must not stay there, you must go beyond them."
-Bruce Lee
#acting #coaching

Nanoscale Magnetic Resonance Imaging and Control of a Strongly Interacting Dipolar System
Piotr Put, Nathaniel T. Leitao, Christina Spaegele, Haoyang Gao, Oksana Makarova, Bartholomeus Machielse, Hengyun Zhou, Federico Capasso, Leigh S. Martin, Hongkun Park, Mikhail D. Lukin
https://arxiv.org/abs/2506.11920

Nanoscale Magnetic Resonance Imaging and Control of a Strongly Interacting Dipolar System
Magnetic Resonance Imaging (MRI) is a fundamental tool for physical and life sciences, yet its spatial resolution is typically limited to macroscopic scales. Here, we demonstrate nanoscale MRI by combining strong, time-dependent local magnetic field gradients with coherent control of a dense ensemble of electron spins hosted in atom-like defects in diamond. Using this platform, we generate and manipulate nanoscale spin textures - spatially structured patterns of spin orientation - and track the…

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Yanbo Wang, Zipeng Fang, Lei Zhao, Weidong Chen
https://arxiv.org/abs/2507.11001

Learning to Tune Like an Expert: Interpretable and Scene-Aware Navigation via MLLM Reasoning and CVAE-Based Adaptation
Service robots are increasingly deployed in diverse and dynamic environments, where both physical layouts and social contexts change over time and across locations. In these unstructured settings, conventional navigation systems that rely on fixed parameters often fail to generalize across scenarios, resulting in degraded performance and reduced social acceptance. Although recent approaches have leveraged reinforcement learning to enhance traditional planners, these methods often fail in real-w…

Teaching Physical Awareness to LLMs through Sounds
Weiguo Wang, Andy Nie, Wenrui Zhou, Yi Kai, Chengchen Hu
https://arxiv.org/abs/2506.08524 https://

Teaching Physical Awareness to LLMs through Sounds
Large Language Models (LLMs) have shown remarkable capabilities in text and multimodal processing, yet they fundamentally lack physical awareness--understanding of real-world physical phenomena. In this work, we present ACORN, a framework that teaches LLMs physical awareness through sound, focusing on fundamental physical phenomena like the Doppler effect, multipath effect, and spatial relationships. To overcome data scarcity, ACORN introduce a physics-based simulator combining real-world sound…

A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mahmoud Assran
https://arxiv.org/abs/2506.09987

A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs
Existing benchmarks for assessing the spatio-temporal understanding and reasoning abilities of video language models are susceptible to score inflation due to the presence of shortcut solutions based on superficial visual or textual cues. This paper mitigates the challenges in accurately assessing model performance by introducing the Minimal Video Pairs (MVP) benchmark, a simple shortcut-aware video QA benchmark for assessing the physical understanding of video language models. The benchmark is…

React to This (RTT): A Nonverbal Turing Test for Embodied AI
Chuxuan Zhang, Yasaman Etesam, Angelica Lim
https://arxiv.org/abs/2507.10812 https://

React to This (RTT): A Nonverbal Turing Test for Embodied AI
We propose an approach to test embodied AI agents for interaction awareness and believability, particularly in scenarios where humans push them to their limits. Turing introduced the Imitation Game as a way to explore the question: "Can machines think?" The Total Turing Test later expanded this concept beyond purely verbal communication, incorporating perceptual and physical interaction. Building on this, we propose a new guiding question: "Can machines react?" and introduce the React to This (…

Infra-red enhanced loops in quadratic gravity
Alberto Salvio, Alessandro Strumia, Marco Vitti
https://arxiv.org/abs/2507.08803 https://

Infra-red enhanced loops in quadratic gravity
It has been suggested that logarithmically enhanced infra-red loop corrections arising in theories with four derivatives correspond to a physical running of couplings, rendering quadratic gravity asymptotically free. We find that these effects depend on the gauge and on the field parameterisation. We compute physical on-shell amplitudes and find genuine infra-red log-enhanced loop corrections, that are process-dependent and cannot be absorbed into running couplings. As a byproduct, we derive th…

"New tech gives second life to plastic farm waste"
#Plastic #Plastics #Environment

New tech gives second life to plastic farm waste
In a study published in the journal Recycling, the research team analyzed the thermal, physical and mechanical properties of various plastic waste materials to determine the optimal temperature to process them using a groundbreaking, cost-efficient melting machine developed by partner company Ritchie Technology (Rtec).

Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
Yueyue Xu, Yuewei Chen, Lin Wang, Zhaoyang Cheng, Xiaoming Hu
https://arxiv.org/abs/2507.11113

Optimal Honeypot Ratio and Convergent Fictitious-Play Learning in Signaling Games for CPS Defense
Cyber-Physical Systems (CPSs) are facing a fast-growing wave of attacks. To achieve effective proactive defense, this paper models honeypot deployment as a gamma-fixed signaling game in which node liveness serves as the only signal and normal-node signal gamma is exogenously fixed. We define the gamma-perfect Bayesian-Nash equilibrium (gamma-PBNE). Analytical expressions are obtained for all gamma-PBNEs, revealing three distinct equilibrium regimes that depend on the priori honeypot ratio. Furt…

Sounds like they picked up where the Quiet American project left off. That’s a good thing! There’s a new Mirt, recorded in the mountains of Thailand, out today.
https://mastodon.scot/@brianlavelle/114853519342164455

Geometric Criticality in Scale-Invariant Networks
Lorenzo Lucarini, Giulio Cimini, Pablo Villegas
https://arxiv.org/abs/2507.11348 https://

Geometric Criticality in Scale-Invariant Networks
Dimension in physical systems determines universal properties at criticality. Yet, the impact of structural perturbations on dimensionality remains largely unexplored. Here, we characterize the attraction basins of structural fixed points in scale-invariant networks from a renormalization group perspective, demonstrating that basin stability connects to a structural phase transition. This topology-dependent effect, which we term geometric criticality, triggers a geometric breakdown hereto unkno…

Cutting rules for non-relativistic dark matter in solids based on Kohn-Sham orbitals
Zheng-Liang Liang, Fawei Zheng
https://arxiv.org/abs/2507.11033 https:…

Cutting rules for non-relativistic dark matter in solids based on Kohn-Sham orbitals
The Cutkosky cutting rules establish a direct connection between the imaginary parts of loop amplitudes and physical observables such as decay rates and cross sections, providing heuristic insights into the underlying processes. This work lays a robust theoretical foundation for the application of cutting rules in solid-state systems involving instantaneous dark matter (DM)-electron Yukawa interaction as well as the Coulomb potential. The cutting rules are formulated using the single-electron w…

Above 20K conventional superconductivity in Cerium
Mohd Monish (Department of Physical Sciences, Indian Institute of Science Education,Research), Nikhlesh S Mehta (Department of Physical Sciences, Indian Institute of Science Education,Research), Mona Garg (Department of Physical Sciences, Indian Institute of Science Education,Research), Goutam Sheet (Department of Physical Sciences, Indian Institute of Science Education,Research)

Above 20K conventional superconductivity in Cerium
A high superconducting critical temperature (Tc) under normal laboratory conditions in a material that is chemically simple and stable, like an elemental metal, is a hitherto unattained goal of modern science and technology. Certain elemental metals are known to display reasonably high Tc only under extraordinarily high pressures where their spectroscopic characterization and application are tightly restricted. Here we show that a Tc exceeding 20 K can be realized on pure elemental Ce under uni…

Data-driven approaches to inverse problems
Carola-Bibiane Sch\"onlieb, Zakhar Shumaylov
https://arxiv.org/abs/2506.11732 https://

Data-driven approaches to inverse problems
Inverse problems are concerned with the reconstruction of unknown physical quantities using indirect measurements and are fundamental across diverse fields such as medical imaging, remote sensing, and material sciences. These problems serve as critical tools for visualizing internal structures beyond what is visible to the naked eye, enabling quantification, diagnosis, prediction, and discovery. However, most inverse problems are ill-posed, necessitating robust mathematical treatment to yield m…

Disk Instability Model for Quasi-Periodic Eruptions: Investigating Period Dispersion and Peak Temperature
Xin Pan, Shuang-Liang Li, Xinwu Cao, Bifang Liu, Weimin Yuan
https://arxiv.org/abs/2507.11100

Disk Instability Model for Quasi-Periodic Eruptions: Investigating Period Dispersion and Peak Temperature
Quasi-periodic eruptions (QPEs) are a class of X-ray repeating burst phenomena discovered in recent years. Many models have been proposed to study this phenomenon, there remains significant debate regarding the physical origin of QPEs. In our previous work, we developed a disk instability model with a large-scale magnetic field and successfully reproduced the light curves and spectral characteristics of several QPE sources. We further investigate the model in this work, aiming to explain two ke…

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
Sadman Sadeed Omee, Lai Wei, Sourin Dey, Jianjun Hu
https://arxiv.org/abs/2506.11332

Polymorphism Crystal Structure Prediction with Adaptive Space Group Diversity Control
Crystalline materials can form different structural arrangements (i.e. polymorphs) with the same chemical composition, exhibiting distinct physical properties depending on how they were synthesized or the conditions under which they operate. For example, carbon can exist as graphite (soft, conductive) or diamond (hard, insulating). Computational methods that can predict these polymorphs are vital in materials science, which help understand stability relationships, guide synthesis efforts, and d…

Decay character theory for partially dissipative hyperbolic systems of balance laws
Ling-Yun Shou, Jiang Xu, Ping Zhang
https://arxiv.org/abs/2507.11450 ht…

Decay character theory for partially dissipative hyperbolic systems of balance laws
The partially dissipative systems that characterize many physical phenomena were first pointed out by Godunov (1961), then investigated by Friedrichs-Lax (1971) who introduced the convex entropy, and later by Shizuta-Kawashima (1984,1985) who initiated a simple sufficient criterion ensuring the global existence of smooth solutions and their large-time asymptotics. There has been remarkable progress in the past several decades, through various different attempts. However, the decay character the…

Homan, who doesn't have a Senate-approved position and no formal authority over any agency, is a giant trial balloon, right?
Not being sarcastic.
I feel like that is his job: say something outrageous ("Of course we stop you for being brown!") and then see how it goes over, walk back what fails.
-- John Pfaff
htt…

JWST/MIRI observations of the young TWA 27 system: hydrocarbon disk chemistry, silicate clouds, evidence for a CPD
P. Patapis, M. Morales-Calder\'on, A. M. Arabhavi, H. K\"uhnle, D. Gasman, G. Cugno, P. Molli\`e re, E. Matthews, M. M\^alin, N. Whiteford, P. -O. Lagage, R. Waters, M. Guedel, Th. Henning, B. Vandenbussche, O. Absil, I. Argyriou, D. Barrado, P. Baudoz, A. Boccaletti, J. Bouwman, C. Cossou, A. Coulais, L. Decin, R. Gastaud, A. Glasse, A. M. Glauser, S. Grant, M. M…

JWST/MIRI observations of the young TWA 27 system: hydrocarbon disk chemistry, silicate clouds, evidence for a CPD
The Mid-Infrared Instrument (MIRI) on the James Webb Space Telescope (JWST) enables the characterisation of young self-luminous gas giants at previously inaccessible wavelengths, revealing physical processes in gas, dust, and clouds. We characterise the young planetary system TWA 27 (2M1207) in the mid-infrared (MIR), studying the atmosphere and disk spectra of the M9 brown dwarf TWA 27A and its L6 planetary-mass companion TWA 27b. We obtained data with the MIRI Medium Resolution Spectrometer (…

Galaxies at the edges: a complete census of MACS J0416.1-2403 cluster
Rossella Ragusa, Maurizio D'Addona, Amata Mercurio, Marcella Longhetti, Marisa Girardi, Marianna Annunziatella, Nicolas Estrada, Claudio Grillo, Angela Iovino, Giula Rodighiero, Piero Rosati, Benedetta Vulcani, Giuseppe Angora, Hans Bohringer, Massimo Brescia, Gabriel Bartosch Caminha, Gayoung Chon, Fedor Getman, Aniello Grado, Marco Gullieuszik, Luca Limatola, Alessia Moretti, Luisa Pecoraro

Galaxies at the edges: a complete census of MACS J0416.1-2403 cluster
Numerous studies have established that the environment influences the physical properties of a galaxy. While gas inflows supply the fuel for SF, high density and temperature conditions suppress SF activity through various quenching processes. Investigations into large scale structures, such as filaments and overdense regions in the cluster outskirts, have focused on the low z. To move to intermediate z and explore galaxy pathways combined with environmental effects, it is crucial to join wide f…

Measured Lepton Magnetic Moments
Gerald Gabrielse, Graziano Venanzoni
https://arxiv.org/abs/2507.11268 https://arxiv.org/pdf/2507.112…

Measured Lepton Magnetic Moments
The electron and muon magnetic moment have played, and continue to play, important roles in testing the fundamental mathematical description of physical reality called the Standard Model of particle physics (SM). The electron magnetic moment is the most precisely measured property of an elementary particle and the most precise SM prediction, setting up the most precise confrontation ever between experiment and theory. It enables the most precise test of quantum field theory, and of the fundamen…

Mesoscience-based structural theory for heterogeneous gas-solid flows
Yige Liu, Bidan Zhao, Junwu Wang
https://arxiv.org/abs/2507.11010 https://

Mesoscience-based structural theory for heterogeneous gas-solid flows
Quantification of the spatiotemporal dynamics of heterogeneous gas-solid flows is critical for the design, scale-up and optimization of gas-solid reactors. In this article, by using the core concept of mesoscience (the compromise in competition between dominant mechanisms), a mathematically rigorous procedure is proposed to develop a mesoscience-based structural theory for the dynamics of heterogeneous gas-solid flows via describing the physical states corresponding to the realization of domina…

MultiCoSim: A Python-based Multi-Fidelity Co-Simulation Framework
Quinn Thibeault, Giulia Pedrielli
https://arxiv.org/abs/2506.10869 https://

MultiCoSim: A Python-based Multi-Fidelity Co-Simulation Framework
Simulation is a foundational tool for the analysis and testing of cyber-physical systems (CPS), underpinning activities such as algorithm development, runtime monitoring, and system verification. As CPS grow in complexity and scale, particularly in safety-critical and learning-enabled settings, accurate analysis and synthesis increasingly rely on the rapid use of simulation experiments. Because CPS inherently integrate hardware, software, and physical processes, simulation platforms must suppor…

Entropy proxy inversions as tracers of the evolution of physical conditions at the base of the solar convective envelope
G. Buldgen, A. Noels, V. A. Baturin, J. Christensen-Dalsgaard, S. V. Ayukov, A. V. Oreshina, R. Scuflaire
https://arxiv.org/abs/2506.09503

Entropy proxy inversions as tracers of the evolution of physical conditions at the base of the solar convective envelope
The Sun is an important calibrator for the theory of stellar structure and evolution. However, the accuracy of our solar evolution models is tightly linked to the physical ingredients that enter their computations. This include, amongst other, the equation of state, the opacities, the transport of chemicals and the modelling of turbulent convection. Deriving model-independent probes of these ingredients is therefore crucial to further test the quality of these ingredients and potentially reveal…

"the additional expenditure on the NHS is not about improving our living standards, but about correcting the physical consequences of the appalling food that the neoliberal food supply industry is delivering to us, which is grossly detrimental to our health. We are not, in other words, better off as a consequence of this additional expenditure" -- @…

Neoliberalism is consuming our well-being
As The Guardian has noted: Britain is on track to become a “National Health State” where half of all public spending is allocated to the NHS and social care by the end of the decade, according to a leading thinktank. They added: As the chancellor came under pressure on Thursday to defend her...

Physical properties of $R$Co$_{2}$Al$_{8}$ ($R=$ La, Ce, Pr, Nd and Sm) single crystals: an emerging structure-type for anisotropic Kondo lattice studies
Fernando A. Garcia, Sushma Kumari, Juan Schmidt, Cris Adriano, Aashish Sapkota, Paul C. Canfield, Rebecca Flint, Raquel A. Ribeiro
https://arxiv.org/abs/2506.10905

Physical properties of $R$Co$_{2}$Al$_{8}$ ($R=$ La, Ce, Pr, Nd and Sm) single crystals: an emerging structure-type for anisotropic Kondo lattice studies
Systematic investigations of rare-earth ($R$) based intermetallic materials is a leading strategy to reveal the underlying mechanisms governing a range of physical phenomena, such as the formation of a Kondo lattice and competing electronic and magnetic anisotropies. In this work, the magnetic, thermal and transport properties of $R$Co$_{2}$Al$_{8}$ ($R=$ La, Ce, Pr, Nd and Sm) single crystals are presented. LaCo$_{2}$Al$_{8}$ is characterized as a Pauli paramagnet and transport measurements, w…

Anomaly Detection for Sensing Security
Stefan Roth, Aydin Sezgin
https://arxiv.org/abs/2506.10718 https://arxiv.org/pdf/2506.10718

Anomaly Detection for Sensing Security
Various approaches in the field of physical layer security involve anomaly detection, such as physical layer authentication, sensing attacks, and anti-tampering solutions. Depending on the context in which these approaches are applied, anomaly detection needs to be computationally lightweight, resilient to changes in temperature and environment, and robust against phase noise. We adapt moving average filters, autoregression filters and Kalman filters to provide predictions of feature vectors th…

Fusion of multi-source precipitation records via coordinate-based generative model
Sencan Sun, Congyi Nai, Baoxiang Pan, Wentao Li, Xin Li, Efi Foufoula-Georgiou, Yanluan Lin
https://arxiv.org/abs/2506.11698

Fusion of multi-source precipitation records via coordinate-based generative model
Precipitation remains one of the most challenging climate variables to observe and predict accurately. Existing datasets face intricate trade-offs: gauge observations are relatively trustworthy but sparse, satellites provide global coverage with retrieval uncertainties, and numerical models offer physical consistency but are biased and computationally intensive. Here we introduce PRIMER (Precipitation Record Infinite MERging), a deep generative framework that fuses these complementary sources t…

Seems pretty legit to me!

A place for relaxing, sweating as well as physical and mental cleansing

Counter-Streaming Beams in Collisionless Pair Plasma Instability Systems I: Evolution and Parameterization of the Weibel Instability
Michael C. Sitarz
https://arxiv.org/abs/2507.10888

Counter-Streaming Beams in Collisionless Pair Plasma Instability Systems I: Evolution and Parameterization of the Weibel Instability
Energetic astrophysical phenomena, such as $γ$-ray bursts and supernova explosion-driven shocks in collisionless plasmas, involve various plasma kinetic instabilities, such as the Weibel instability. In this paper, we explore the evolution of the Weibel instability using the spectral analysis and physical field evolution of particle-in-cell simulations. Effects of varying parameters of the initial counter-streaming beams are detailed in reference to the total evolutionary timeline of the insta…

Thermal conductivity minimum with thickness in ultrathin films
Alessio Zaccone
https://arxiv.org/abs/2506.11914 https://arxiv.org/pdf…

Thermal conductivity minimum with thickness in ultrathin films
The thermal properties of solids under nanoscale confinement are currently not understood at the atomic level. Recent numerical studies have highlighted the presence of a minimum in the thermal conductivity as a function of thickness for ultrathin films at a thickness about 1-2 nm, which cannot be described by existing theories. We develop a theoretical description of thin films which predicts a new physical law for heat transfer at the nanoscale. In particular, due to the strong redistribution…

Gradients of unitary optical neural networks using parameter-shift rule
Jinzhe Jiang, Yaqian Zhao, Xin Zhang, Chen Li, Yunlong Yu, Hailing Liu
https://arxiv.org/abs/2506.11565

Gradients of unitary optical neural networks using parameter-shift rule
This paper explores the application of the parameter-shift rule (PSR) for computing gradients in unitary optical neural networks (UONNs). While backpropagation has been fundamental to training conventional neural networks, its implementation in optical neural networks faces significant challenges due to the physical constraints of optical systems. We demonstrate how PSR, which calculates gradients by evaluating functions at shifted parameter values, can be effectively adapted for training UONNs…

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
Minsoo Kim, Changhun Oh
https://arxiv.org/abs/2507.11089 https://

On the Fundamental Resource for Exponential Advantage in Quantum Channel Learning
Quantum resources enable us to achieve an exponential advantage in learning the properties of unknown physical systems by employing quantum memory. While entanglement with quantum memory is recognized as a necessary qualitative resource, its quantitative role remains less understood. In this work, we distinguish between two fundamental resources provided by quantum memory -- entanglement and ancilla qubits -- and analyze their separate contributions to the sampling complexity of quantum learnin…

Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse
Seung Whan Chung, Christopher Miller, Youngsoo Choi, Paul Tranquilli, H. Keo Springer, Kyle Sullivan
https://arxiv.org/abs/2507.10647

Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse
Capturing sharp, evolving interfaces remains a central challenge in reduced-order modeling, especially when data is limited and the system exhibits localized nonlinearities or discontinuities. We propose LaSDI-IT (Latent Space Dynamics Identification for Interface Tracking), a data-driven framework that combines low-dimensional latent dynamics learning with explicit interface-aware encoding to enable accurate and efficient modeling of physical systems involving moving material boundaries. At th…

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Jeongyun Kim, Seunghoon Jeong, Giseop Kim, Myung-Hwan Jeon, Eunji Jun, Ayoung Kim
https://arxiv.org/abs/2507.11069

TRAN-D: 2D Gaussian Splatting-based Sparse-view Transparent Object Depth Reconstruction via Physics Simulation for Scene Update
Understanding the 3D geometry of transparent objects from RGB images is challenging due to their inherent physical properties, such as reflection and refraction. To address these difficulties, especially in scenarios with sparse views and dynamic environments, we introduce TRAN-D, a novel 2D Gaussian Splatting-based depth reconstruction method for transparent objects. Our key insight lies in separating transparent objects from the background, enabling focused optimization of Gaussians correspon…

The israeli-american genocide of the Palestinian people continues. It’s not just israel. It was never just israel.
“‘This is an administration that is committed to Palestinian erasure, both physical and political,’ Elgindy said. ‘The signs were there even in the first Trump term, which nominally supported a Palestinian ‘state’ that was shorn of all sovereignty and under permanent Israeli control. At least now they’ve abandoned the pretense.’
Yousef Munayyer, head of Palestine/Isr…

US ambassador to Israel says US no longer pursuing goal of independent Palestinian state
Mike Huckabee suggested any future Palestinian state should be carved out of ‘a Muslim country’

I got used to 120Hz displays, and now 60Hz feels off. It's not visibly bad at all, but scrolling and mouse movement feel less like a physical motion, and more like pixels shifting on the screen. Hard to describe.
Which is annoying, because there are some nice 5K and 6K displays, but 60Hz. It wouldn't have bothered me at all if I didn't use 120Hz first!
Don't get high-refresh displays! ;)

Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
Eric T\"onges, Philipp H\"artel, Martin Braun
https://arxiv.org/abs/2506.09766

Vulnerability-Based Optimal Grid Defense Strategies for Enhancing Cyber-Physical Energy System Resilience
An approach is proposed to identify optimal asset protection strategies based on vulnerability assessment outcomes. Traditional bilevel attacker-defender models emphasize worstcase scenarios but offer limited defensive guidance. In contrast, trilevel models introduce high computational complexity and rely on fixed network configurations. The proposed critical-components method leverages vulnerability assessment results to determine protection strategies, effectively outsourcing the upper-level …

Meta launches V-JEPA 2, an open-source AI "world model" to understand and predict 3D environments and object movements, to help robotics and self-driving cars (Ryan Browne/CNBC)
https://www.cnbc.com/2025/06/11/meta-launc

Meta launches AI 'world model' to advance robotics, self-driving cars
Meta on Wednesday announced it's rolling out a new AI "world model" that can better understand the 3D environment and movements of physical objects.

I like books. I buy them as physical as well as eBooks formats.
I don't always make a direct contribution to the author/s when I buy them used, or borrow them from the library.
But I will explicitly not support (with my wallet) of Amazon's Monopoly on the book industry.
So I will encourage everyone to also boycott that monopoly.

Mailbag: Will training camp be more physical? https://www.dallascowboys.com/news/mailbag-will-training-camp-be-more-physical

Optimizing Fluid Antenna Configurations for Constructive Interference Precoding
Wenxuan Sun, Mingjie Shao, Luteng Zhu, Yao Ge, Tong Zhang, Zhi Liu
https://arxiv.org/abs/2507.11093

Optimizing Fluid Antenna Configurations for Constructive Interference Precoding
The fluid antenna system (FAS) has emerged as a new physical-layer concept to provide enhanced propagation conditions for multiuser multiple-input multiple-output (MIMO) communications over conventional fixed arrays. This work focuses on minimizing the maximum symbol error probability (SEP) under $M$-ary phase shift keying (MPSK) signaling in a multiuser downlink equipped with FAS, where each antenna moves within nonoverlapping intervals. This specific problem of joint SEP minimization with FAS…

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Junqing Zhang, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, Stefano Tomasin
https://arxiv.org/abs/2506.09807

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device a…

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm
Jiajun Shen, Hao Tu, Fengjun Li, Morteza Hashemi, Di Wu, Huazhen Fang
https://arxiv.org/abs/2507.06492

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm
This paper presents a novel cyber-physical attack paradigm, termed the Dual State-Space Fidelity Blade (D-STAB), which targets the firmware of core cyber-physical components as a new class of attack surfaces. The D-STAB attack exploits the information asymmetry caused by the fidelity gap between high-fidelity and low-fidelity physical models in cyber-physical systems. By designing precise adversarial constraints based on high-fidelity state-space information, the attack induces deviations in hi…

Impact of local foreground radiations on Very High Energy observations of extragalactic sources
Alberto Franceschini, Giorgio Galanti
https://arxiv.org/abs/2507.11190

Impact of local foreground radiations on Very High Energy observations of extragalactic sources
In the framework of exploiting Very High Energy (VHE) gamma-ray observations of extragalactic sources to infer constraints on the intensity of cosmological background radiations, as well as on deviations from the standard model of particles and physical interactions (like violations of Lorentz invariance and axion-like particles -- LIV and ALPs), we discuss here possible contaminant effects due to the presence of radiations fields from local sources. We specifically model and analyze the foregr…

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 461 nodes and 620 edges.
Tags: Biological, Gene regulation, Protein interactions, Unweigh…

Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
Paulin de Schoulepnikoff, Gorka Mu\~noz-Gil, Hendrik Poulsen Nautrup, Hans J. Briegel
https://arxiv.org/abs/2506.11982

Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
Interpretable machine learning is rapidly becoming a crucial tool for scientific discovery. Among existing approaches, variational autoencoders (VAEs) have shown promise in extracting the hidden physical features of some input data, with no supervision nor prior knowledge of the system at study. Yet, the ability of VAEs to create meaningful, interpretable representations relies on their accurate approximation of the underlying probability distribution of their input. When dealing with quantum d…

Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE UPOM
Oscar Lima, Marc Vinci, Sunandita Patra, Sebastian Stock, Joachim Hertzberg, Martin Atzmueller, Malik Ghallab, Dana Nau, Paolo Traverso
https://arxiv.org/abs/2507.11345

Acting and Planning with Hierarchical Operational Models on a Mobile Robot: A Study with RAE+UPOM
Robotic task execution faces challenges due to the inconsistency between symbolic planner models and the rich control structures actually running on the robot. In this paper, we present the first physical deployment of an integrated actor-planner system that shares hierarchical operational models for both acting and planning, interleaving the Reactive Acting Engine (RAE) with an anytime UCT-like Monte Carlo planner (UPOM). We implement RAE+UPOM on a mobile manipulator in a real-world deployment…

Refined stability estimates for mixed problems by exploiting semi norm arguments
Nicolas Gauger, Alexander Linke, Christian Merdon
https://arxiv.org/abs/2506.11566

Refined stability estimates for mixed problems by exploiting semi norm arguments
Refined stability estimates are derived for classical mixed problems. The novel emphasis is on the importance of semi norms on data functionals, inspired by recent progress on pressure-robust discretizations for the incompressible Navier--Stokes equations. In fact, kernels of these semi norms are shown to be connected to physical regimes in applications and are related to some well-known consistency errors in classical discretizations of mixed problems. Consequently, significantly sharper stabi…

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
Yiming Dou, Wonseok Oh, Yuqing Luo, Antonio Loquercio, Andrew Owens
https://arxiv.org/abs/2506.09989

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
We study the problem of making 3D scene reconstructions interactive by asking the following question: can we predict the sounds of human hands physically interacting with a scene? First, we record a video of a human manipulating objects within a 3D scene using their hands. We then use these action-sound pairs to train a rectified flow model to map 3D hand trajectories to their corresponding audio. At test time, a user can query the model for other actions, parameterized as sequences of hand pos…

A detailed and comprehensive account of fractional Physics-Informed Neural Networks: From implementation to efficiency
Donya Dabiri, Joshua DaRosa, Milad Saadat, Deepak Mangal, Safa Jamali
https://arxiv.org/abs/2506.11241

A detailed and comprehensive account of fractional Physics-Informed Neural Networks: From implementation to efficiency
Fractional differential equations are powerful mathematical descriptors for intricate physical phenomena in a compact form. However, compared to integer ordinary or partial differential equations, solving fractional differential equations can be challenging considering the intricate details involved in their numerical solutions. Robust data-driven solutions hence can be of great interest for solving fractional differential equations. In the recent years, fractional physics-informed neural netwo…

Feynman Fox integrals in the physical region
Giampiero Passarino (Turin U.,INFN, Turin)
https://arxiv.org/abs/2506.09590 https://arxi…

Feynman Fox integrals in the physical region
Feynman integrals in the physical region are transformed into Fox functions with a special emphasys to their cut structure

Empirical Globular Cluster Ridgeline Construction on Gaia Data
Anett Simon-Zs\'ok, L\'aszl\'o Moln\'ar, Csilla Kalup, Meridith Joyce
https://arxiv.org/abs/2507.11244

Empirical Globular Cluster Ridgeline Construction on Gaia Data
We present a new method and a corresponding code to compress the color magnitude diagram of a globular cluster into a representative curve, called a ridgeline, that can be more readily compared to isochrone models, among other applications. This compression method preserves the physical properties of the cluster, including the morphology of the CMD.

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
T. Alkousa (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), P. A. Crowther (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield), J. M. Bestenlehner (Astrophysics Research Cluster, School of Mathematical and Physical Sciences, University of Sheffield, School of Chemical, M…

X-Shooting ULLYSES: Massive stars at low metallicity. XIII. Putting the bi-stability jump to the test in the LMC
We aim to investigate the theoretical bi-stability jump, which predicts an increase in mass-loss rates below 21 kK. We further aim to constrain the photospheric and wind parameters of a sample of 16 LMC late-O and B supergiants. We utilise the 1D, non-LTE radiative transfer model CMFGEN in a grid-based approach and subsequent fine-tuned spectroscopic fitting procedure to determine the stellar and wind parameters of each star. We apply this method to ultra-violet data from the ULLYSES programme …

A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation
Bo\v{s}tjan Melinc, Uro\v{s} Perkan, \v{Z}iga Zaplotnik
https://arxiv.org/abs/2506.11968

A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation
Estimating background-error covariances remains a core challenge in variational data assimilation (DA). Operational systems typically approximate these covariances by transformations that separate geostrophically balanced components from unbalanced inertio-gravity modes - an approach well-suited for the midlatitudes but less applicable in the tropics, where different physical balances prevail. This study estimates background-error covariances in a reduced-dimension latent space learned by a neu…

Quantum phase transition driven by competing intralayer and interlayer hopping of Ni-$d_{3z^2-r^2}$ orbitals in bilayer nickelates
Xiaoyu Zhu, Wei Qin, Ping Cui, Zhenyu Zhang
https://arxiv.org/abs/2507.11169

Quantum phase transition driven by competing intralayer and interlayer hopping of Ni-$d_{3z^2-r^2}$ orbitals in bilayer nickelates
Bilayer nickelates exhibit high-temperature superconductivity under proper hydrostatic pressure or epitaxial strain, signifying the emergence of quantum phase transitions whose physical mechanisms remain unclear. Using a minimal bilayer Hubbard model incorporating only the essential Ni-$d_{3z^2-r^2}$ orbitals, we demonstrate that a phase transition naturally arises from tuning the ratio of intralayer to interlayer hopping amplitudes. The transition point separates regimes with a rich interplay …

Doctor during annual physical, in a sequence of questions: “Any nausea?”
Me: “Just one day last week… when I read too much news.”
Doctor laughs and professional poise falls apart.
A nice human moment.
👨‍⚕️😆

Entanglement and magic on the light-front
Sam Alterman, Peter J. Love
https://arxiv.org/abs/2507.10777 https://arxiv.org/pdf/2507.107…

Entanglement and magic on the light-front
In the light-front (LF) formulation of quantum field theory (QFT), physics is formulated from the perspective of a massless observer necessarily traveling at the speed of light. The LF formulation provides an alternative computational approach to lattice gauge theory, and has recently been investigated as a future application of quantum computers. A natural question is how quantum resources such as entanglement and contextuality amongst physical qubits in the laboratory are utilized in LF simul…

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Hong Niu, Yue Xiao, Xia Lei, Jiangong Chen, Zhihan Xiao, Mao Li, Chau Yuen
https://arxiv.org/abs/2507.06500

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Due to the broadcast nature of wireless communications, physical-layer security has attracted increasing concerns from both academia and industry. Artificial noise (AN), as one of the promising physical-layer security techniques, is capable of utilizing the spatial degree-of-freedom of channels to effectively enhance the security of wireless communications. In contrast to other physicallayer security techniques, the key distinguishing feature of AN is to generate specific interfering signals ac…

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
Lambert Lee, Joshua Lau
https://arxiv.org/abs/2506.11650 https://

Robot Context Protocol (RCP): A Runtime-Agnostic Interface for Agent-Aware Robot Control
The Robot Context Protocol (RCP) is a lightweight, middleware-agnostic communication protocol designed to simplify the complexity of robotic systems and enable seamless interaction between robots, users, and autonomous agents. RCP provides a unified and semantically meaningful interface that decouples client-facing operations from backend implementations, supporting a wide range of deployment environments including physical robots, cloud-based orchestrators, and simulated platforms. Built on HT…

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 461 nodes and 620 edges.
Tags: Biological, Gene regulation, Protein interactions, Unweigh…

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Yihan Wang, Connery Chen, Bing Zhang
https://arxiv.org/abs/2507.10829 https://

VegasAfterglow: A High-Performance Framework for Gamma-Ray Burst Afterglows
Gamma-ray bursts (GRBs) are the most luminous astrophysical transients, known to be associated with core collapse of massive stars or mergers of two compact objects such as two neutron stars. They are followed by multi-wavelength afterglow emission originating from the deceleration of the relativistic jets by the ambient medium. The study of after emission offers crucial insights into the physics of relativistic shocks, the properties of the circumburst environment, as well as the physical and …

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
G\'abor Baranyi, Zsolt Csibi, Kristian Fenech, \'Aron F\'othi, Zs\'ofia Ga\'al, Joul Skaf, Andr\'as L\H{o}rincz
https://arxiv.org/abs/2507.08624

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance
This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advanced artificial intelligence-based solution tailored for home rehabilitation environments. AIRS integrates cutting-edge technologies, including Real-Time 3D Reconstruction (RT-3DR), intelligent navigation, and large Vision-Language Models (VLMs), to create a comprehensive system for machine-guided physical rehabilitation. The general AIRS framework is demonstrated in rehabilitation scenarios following…

Practical design and performance of physical reservoir computing using hysteresis
Yuhei Yamada
https://arxiv.org/abs/2507.06063 https://

Practical design and performance of physical reservoir computing using hysteresis
Physical reservoir computing is an innovative idea for using physical phenomena as computational resources. Recent research has revealed that information processing techniques can improve the performance, but for practical applications, it is equally important to study the level of performance with a simple design that is easy to construct experimentally. We focus on a reservoir composed of independent hysteretic systems as a model suitable for the practical implementation of physical reservoir…

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
Differences in the Physical Properties of Satellite Galaxies within Relaxed and Disturbed Galaxy ...

Symmetries and operators in $T\bar{T}$ deformed CFTs
Liangyu Chen, Zhengyuan Du, Kangning Liu, Wei Song
https://arxiv.org/abs/2507.08588 https://

Symmetries and operators in $T\bar{T}$ deformed CFTs
$T\bar{T}$-deformed CFTs are known to possess nonlocal conformal symmetries that do not act tractably on the undeformed local operators. In this paper, we explicitly construct two distinct classes of operators: (i) {\it {dressed}} operators, which are primary operators with respect to the nonlocal conformal symmetries, and (ii) {\it physical} operators, a new type of local operator we introduce. While the {dressed} operators preserve the conformal symmetry structure, they are themselves nonloca…

*hits blunt* "what if we put the HSM... on a rotor spinning fast enough that if you rotated in a chair that fast it would Kill you" https://tches.iacr.org/index.php/TCHES/article/view/9290/8856
(via @…

Force-Based Viscosity and Elasticity Measurements for Material Biomechanical Characterisation with a Collaborative Robotic Arm
Luca Beber, Edoardo Lamon, Giacomo Moretti, Matteo Saveriano, Luca Fambri, Luigi Palopoli, Daniele Fontanelli
https://arxiv.org/abs/2507.11133

Force-Based Viscosity and Elasticity Measurements for Material Biomechanical Characterisation with a Collaborative Robotic Arm
Diagnostic activities, such as ultrasound scans and palpation, are relatively low-cost. They play a crucial role in the early detection of health problems and in assessing their progression. However, they are also error-prone activities, which require highly skilled medical staff. The use of robotic solutions can be key to decreasing the inherent subjectivity of the results and reducing the waiting list. For a robot to perform palpation or ultrasound scans, it must effectively manage physical i…

Leveraging Power Amplifier Distortion for Physical Layer Security
Reza Ghasemi Alavicheh, Thomas Feys, MD Arifur Rahman, Fran\c{c}ois Rottenberg
https://arxiv.org/abs/2507.07567

Leveraging Power Amplifier Distortion for Physical Layer Security
This paper introduces a new approach to physical layer security (PLS) by leveraging power amplifier (PA) nonlinear distortion through distortion-aware precoding. While some conventional PLS techniques inject artificial noise orthogonal to legitimate channels, we demonstrate that inherent PA nonlinearities typically considered undesirable can be exploited to enhance security. The zero 3rd order (Z3RO) precoder applies a negative polarity to several antennas to cancel the PA distortion at the use…

ExAct: A Video-Language Benchmark for Expert Action Analysis
Han Yi, Yulu Pan, Feihong He, Xinyu Liu, Benjamin Zhang, Oluwatumininu Oguntola, Gedas Bertasius
https://arxiv.org/abs/2506.06277

ExAct: A Video-Language Benchmark for Expert Action Analysis
We present ExAct, a new video-language benchmark for expert-level understanding of skilled physical human activities. Our new benchmark contains 3521 expert-curated video question-answer pairs spanning 11 physical activities in 6 domains: Sports, Bike Repair, Cooking, Health, Music, and Dance. ExAct requires the correct answer to be selected from five carefully designed candidate options, thus necessitating a nuanced, fine-grained, expert-level understanding of physical human skills. Evaluating…

One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World
Xingshuo Han, Chen Ling, Shiyi Yao, Haozhao Wang, Hangcheng Liu, Yutong Wu, Shengmin Xu, Changhai Ou, Xinyi Huang, Tianwei Zhang
https://arxiv.org/abs/2506.08482

One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World
Numerous methods have been proposed to generate physical adversarial patches (PAPs) against real-world machine learning systems. However, each existing PAP typically supports only a single, fixed attack goal, and switching to a different objective requires re-generating and re-deploying a new PAP. This rigidity limits their practicality in dynamic environments like autonomous driving, where traffic conditions and attack goals can change rapidly. For example, if no obstacles are present around t…

LATIS: Comparing Galaxy and IGM Tomography Maps as Tracers of Large-scale Structure and Protoclusters at $z \sim 2.5$
Andrew B. Newman, Nima Chartab, Mahdi Qezlou, Gwen C. Rudie, Guillermo A. Blanc, Daniel D. Kelson, Simeon Bird, Caitlin Casey, Enrico Congiu, Olga Cucciati, Denise Hung, Brian C. Lemaux, Victoria P\'erez, Jorge Zavala
https://

LATIS: Comparing Galaxy and IGM Tomography Maps as Tracers of Large-scale Structure and Protoclusters at $z \sim 2.5$
We investigate the consistency of intergalactic medium (IGM) tomography and galaxy surveys as tracers of the cosmic web and protoclusters at $z \sim 2.5$. We use maps from the Ly$α$ Tomography IMACS Survey (LATIS), which trace the distributions of Lyman-break galaxies (LBGs) and IGM Ly$α$ absorption on $\simeq 4$ $h^{-1}$ cMpc scales within the same large volume. Overall, the joint distribution of IGM absorption and LBG density is well constrained and accurately described by a simple physical…

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
Liang Ma, Jiajun Wen, Min Lin, Rongtao Xu, Xiwen Liang, Bingqian Lin, Jun Ma, Yongxin Wang, Ziming Wei, Haokun Lin, Mingfei Han, Meng Cao, Bokui Chen, Ivan Laptev, Xiaodan Liang
https://arxiv.org/abs/2506.08708

PhyBlock: A Progressive Benchmark for Physical Understanding and Planning via 3D Block Assembly
While vision-language models (VLMs) have demonstrated promising capabilities in reasoning and planning for embodied agents, their ability to comprehend physical phenomena, particularly within structured 3D environments, remains severely limited. To close this gap, we introduce PhyBlock, a progressive benchmark designed to assess VLMs on physical understanding and planning through robotic 3D block assembly tasks. PhyBlock integrates a novel four-level cognitive hierarchy assembly task alongside …

Observation of High-Order Quantum Pancharatnam-Berry Phase with Structured Photons
Shuang-Yin Huang, He Jiang, Zhi-Cheng Ren, Zi-Mo Cheng, Wen-Zheng Zhu, Jing Gao, Chang Liu, Xi-Lin Wang, Hui-Tian Wang
https://arxiv.org/abs/2506.10692

Observation of High-Order Quantum Pancharatnam-Berry Phase with Structured Photons
When a quantum system evolves so that it returns to its initial state, it will acquire a geometric phase acting as a memory of the transformation of a physical system, which has been experimentally measured in a variety of physical systems. In optics, the most prominent example is the Pancharatnam-Berry (PB) phase. Recent technological advances in phase and polarization structure have led to the discovery of high-order PB phases with structured light fields. The study on the high-order PB phase…

Investigating the physical properties of dusty star-forming galaxies at z>=1.5 in the GOODS-South field using JWST
Dipanjan Mitra, Mattia Negrello, Gianfranco De Zotti
https://arxiv.org/abs/2506.08995

Investigating the physical properties of dusty star-forming galaxies at z>=1.5 in the GOODS-South field using JWST
We investigated how well the physical properties of progenitors of present-day massive spheroidal galaxies (proto-spheroids) can be constrained by the JWST Advanced Deep Extragalactic Survey (JADES) in the GOODS-South field, which benefits from extensive photometric and spectroscopic data, including those from the Hubble, Spitzer and Herschel. We adopted a physical model for the evolution of proto-spheroidal galaxies, which form the bulk of dusty star-forming galaxies (DSFGs) at z>=1.5 and conf…

Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
https://arxiv.org/abs/2507.06997

Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
This paper explores the application of a federated learning-based multi-agent reinforcement learning (MARL) strategy to enhance physical-layer security (PLS) in a multi-cellular network within the context of beyond 5G networks. At each cell, a base station (BS) operates as a deep reinforcement learning (DRL) agent that interacts with the surrounding environment to maximize the secrecy rate of legitimate users in the presence of an eavesdropper. This eavesdropper attempts to intercept the confid…

genetic_multiplex: Multiplex genetic interactions (2014)
Multiplex networks representing different types of genetic interactions, for different organisms. Layers represent (i) physical, (ii) association, (iii) co-localization, (iv) direct, and (v) suppressive, (vi) additive or synthetic genetic interaction. Edge direction (i,j) indicates gene i interacting with gene j.
This network has 8215 nodes and 43367 edges.
Tags: Biological, Gene regulation, Protein interactions, Unwe…

This https://arxiv.org/abs/2411.10918 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection
Cyber-Physical Systems (CPS) are vulnerable to cyber-physical attacks that violate physical laws. While invariant-based anomaly detection is effective, existing methods are limited: data-driven approaches lack semantic context, and physics-based models require extensive manual work. We propose INVARLLM, a hybrid framework that uses large language models (LLMs) to extract semantic information from CPS documentation and generate physical invariants, then validates these against real system data u…

RICE: Reactive Interaction Controller for Cluttered Canopy Environment
Nidhi Homey Parayil, Thierry Peynot, Chris Lehnert
https://arxiv.org/abs/2506.10383 …

RICE: Reactive Interaction Controller for Cluttered Canopy Environment
Robotic navigation in dense, cluttered environments such as agricultural canopies presents significant challenges due to physical and visual occlusion caused by leaves and branches. Traditional vision-based or model-dependent approaches often fail in these settings, where physical interaction without damaging foliage and branches is necessary to reach a target. We present a novel reactive controller that enables safe navigation for a robotic arm in a contact-rich, cluttered, deformable environm…

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
Pascal Debus, Maximilian Wendlinger, Kilian Tscharke, Daniel Herr, Cedric Br\"ugmann, Daniel Ohl de Mello, Juris Ulmanis, Alexander Erhard, Arthur Schmidt, Fabian Petsch
https://arxiv.org/abs/2507.08623

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security
Quantum Machine Learning (QML) systems inherit vulnerabilities from classical machine learning while introducing new attack surfaces rooted in the physical and algorithmic layers of quantum computing. Despite a growing body of research on individual attack vectors - ranging from adversarial poisoning and evasion to circuit-level backdoors, side-channel leakage, and model extraction - these threats are often analyzed in isolation, with unrealistic assumptions about attacker capabilities and syst…

Routing Quantum Control of Causal Order
Maarten Grothus, Alastair A. Abbott, Augustin Vanrietvelde, Cyril Branciard
https://arxiv.org/abs/2507.08781 https:…

Routing Quantum Control of Causal Order
In recent years, various frameworks have been proposed for the study of quantum processes with indefinite causal order. In particular, quantum circuits with quantum control of causal order (QC-QCs) form a broad class of physical supermaps obtained from a bottom-up construction and are believed to represent all quantum processes physically realisable in a fixed spacetime. Complementarily, the formalism of routed quantum circuits introduces quantum operations constrained by "routes" to represent …

Learning human-to-robot handovers through 3D scene reconstruction
Yuekun Wu, Yik Lung Pang, Andrea Cavallaro, Changjae Oh
https://arxiv.org/abs/2507.08726 …

Learning human-to-robot handovers through 3D scene reconstruction
Learning robot manipulation policies from raw, real-world image data requires a large number of robot-action trials in the physical environment. Although training using simulations offers a cost-effective alternative, the visual domain gap between simulation and robot workspace remains a major limitation. Gaussian Splatting visual reconstruction methods have recently provided new directions for robot manipulation by generating realistic environments. In this paper, we propose the first method f…

Enhancing Decoding Performance using Efficient Error Learning
Pavithran Iyer, Aditya Jain, Stephen D. Bartlett, Joseph Emerson
https://arxiv.org/abs/2507.08536

Enhancing Decoding Performance using Efficient Error Learning
Lowering the resource overhead needed to achieve fault-tolerant quantum computation is crucial to building scalable quantum computers. We show that adapting conventional maximum likelihood (ML) decoders to a small subset of efficiently learnable physical error characteristics can significantly improve the logical performance of a quantum error-correcting code. Specifically, we leverage error information obtained from efficient characterization methods based on Cycle Error Reconstruction (CER), …

Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer
Juraj Gavura, Michal Vavrecka, Igor Farkas, Connor Gade
https://arxiv.org/abs/2507.08572

Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer
When inverse kinematics (IK) is adopted to control robotic arms in manipulation tasks, there is often a discrepancy between the end effector (EE) position of the robot model in the simulator and the physical EE in reality. In most robotic scenarios with sim-to-real transfer, we have information about joint positions in both simulation and reality, but the EE position is only available in simulation. We developed a novel method to overcome this difficulty based on haptic feedback calibration, us…

Accidental coincidences in camera-based high-dimensional entanglement certification
Rapha\"el Guitter (Institut des NanoSciences de Paris), Baptiste Courme (Institut des NanoSciences de Paris, Laboratoire Kastler Brossel), Chlo\'e Verni\`ere (Institut des NanoSciences de Paris), Peter Svihra (Faculty of Nuclear Sciences and Physical Engineering Czech Technical University), Andrei Nomerotski (Faculty of Nuclear Sciences and Physical Engineering Czech Technical University), Hugo…

Accidental coincidences in camera-based high-dimensional entanglement certification
High-dimensional entangled states, such as spatially-entangled photon pairs produced by Spontaneous Parametric Down-Conversion (SPDC), are a key resource for quantum technologies. In recent years, camera-based coincidence counting approaches have considerably improved the ability to characterize them in terms of speed and dimensionality. However, these methods have limitations, including in most of them the necessity to subtract accidental coincidences. Here, we study the role of these accident…