Tootfinder

After having looked at eIDAS and the dutch implementation of digital identity, it is very interesting to read this paper, a proposal that tries to improve on various aspects from eiDAS.
"An Architecture for Distributed Digital Identities in the Physical World"
https://arxiv.org/abs/2508.10185

An Architecture for Distributed Digital Identities in the Physical World
Digital identities are increasingly important for mediating not only digital but also physical service transactions. Managing such identities through centralized providers can cause both availability and privacy concerns: single points of failure and control are ideal targets for global attacks on technical, organizational, or legal fronts. We design, analyze, and build a distributed digital identity architecture for physical world transactions in common scenarios like unlocking doors, public t…

I am very happy to announce that our big architecture paper for the Digidow project on distributed digital identity systems with biometric authentication for physical interaction is now online on arXiv: https://arxiv.org/abs/2508.10185.
While it can't have all the details, it summarizes the main de…

An Architecture for Distributed Digital Identities in the Physical World
Digital identities are increasingly important for mediating not only digital but also physical service transactions. Managing such identities through centralized providers can cause both availability and privacy concerns: single points of failure and control are ideal targets for global attacks on technical, organizational, or legal fronts. We design, analyze, and build a distributed digital identity architecture for physical world transactions in common scenarios like unlocking doors, public t…

From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models
Tiancheng Han, Yunfei Gao, Yong Li, Wuzhou Yu, Qiaosheng Zhang, Wenqi Shao
https://arxiv.org/abs/2508.10770

From Diagnosis to Improvement: Probing Spatio-Physical Reasoning in Vision Language Models
Spatio-physical reasoning, a foundation capability for understanding the real physics world, is a critical step towards building robust world models. While recent vision language models (VLMs) have shown remarkable progress in specialized domains like multimodal mathematics and pure spatial understanding, their capability for spatio-physical reasoning remains largely unexplored. This paper provides a comprehensive diagnostic analysis of mainstream VLMs, revealing that current models perform ina…

#proton

An Architecture for Distributed Digital Identities in the Physical World
Ren\'e Mayrhofer, Michael Roland, Tobias H\"oller, Philipp Hofer, Mario Lins
https://arxiv.org/abs/2508.10185

An Architecture for Distributed Digital Identities in the Physical World
Digital identities are increasingly important for mediating not only digital but also physical service transactions. Managing such identities through centralized providers can cause both availability and privacy concerns: single points of failure and control are ideal targets for global attacks on technical, organizational, or legal fronts. We design, analyze, and build a distributed digital identity architecture for physical world transactions in common scenarios like unlocking doors, public t…

HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
Saeed Saadatnejad, Reyhaneh Hosseininejad, Jose Barreiros, Katherine M. Tsui, Alexandre Alahi
https://arxiv.org/abs/2509.10096

HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario
The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients. To enable safe and responsive assistance, robots require accurate human motion prediction in physical interaction scenarios. However, this remains a challenging task due to the variability of assistive settings and the complexity of coupled dynamics in physical interactions. In this work, we address these challenges through two key contributions: (1) HHI-Assist, a dataset…

Countrywide natural experiment links built environment to physical activity
https://www.nature.com/articles/s41586-025-09321-3

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

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…

Variety of physical measures in partially hyperbolic systems with multi 1-D centers
Zeya Mi, Hangyue Zhang
https://arxiv.org/abs/2509.10071 https://arxiv.o…

Variety of physical measures in partially hyperbolic systems with multi 1-D centers
We provide two robust examples of globally partially hyperbolic systems with a multi one-dimensional center splitting, for which all Gibbs u-states are hyperbolic and the number of physical measures is fixed. In the second example, the physical measures have different unstable indices, and the supports of those with index at least 2 can be adjusted to lie on a non-uniformly hyperbolic set using the techniques developed for the first example. Such partially hyperbolic systems were previously stu…

Excessive Screen Time is Associated with Mental Health Problems and ADHD in US Children and Adolescents: Physical Activity and Sleep as Parallel Mediators
Ying Dai, Na Ouyang
https://arxiv.org/abs/2508.10062

Excessive Screen Time is Associated with Mental Health Problems and ADHD in US Children and Adolescents: Physical Activity and Sleep as Parallel Mediators
To examine associations between screen time and anxiety, depression, behavior or conduct problems, and ADHD among children and adolescents during the pandemic, and to assess whether physical activity, sleep duration, and bedtime regularity mediate these associations. Data from 50231 US children and adolescents aged 6 to 17 years in the 2020 to 2021 National Survey of Childrens Health were analyzed. Exact natural effect models and structural equation modeling assessed mediation by physical activ…

GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
Joshua Dimasaka, Christian Gei{\ss}, Robert Muir-Wood, Emily So
https://arxiv.org/abs/2509.10308

GraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
In the aftermath of disasters, many institutions worldwide face challenges in continually monitoring changes in disaster risk, limiting the ability of key decision-makers to assess progress towards the UN Sendai Framework for Disaster Risk Reduction 2015-2030. While numerous efforts have substantially advanced the large-scale modeling of hazard and exposure through Earth observation and data-driven methods, progress remains limited in modeling another equally important yet challenging element o…

Sources: OpenAI is recruiting people to work on humanoid robots and is training AI algorithms that are better able to make sense of the physical world (Will Knight/Wired)
https://www.wired.com/story/openai-ramps-up-robotics-work-in-race-toward-agi/

OpenAI Ramps Up Robotics Work in Race Toward AGI
The company behind ChatGPT is putting together a team capable of developing algorithms to control robots and appears to be hiring roboticists who work specifically on humanoids.

"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

tree-of-life: Protein interactomes across the tree of life (2019)
Protein-protein iteraction networks ("interactome") for 1,840 species. An interactome captures all physical protein-protein interactions within one species, from direct biophysical protein-protein interactions to regulatory protein-DNA and metabolic interactions. .
This network has 1178 nodes and 7623 edges.
Tags: Biological, Protein interactions

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

Routing and Wavelength Assignment with Minimal Attack Radius for QKD Networks
Mengyao Li, Qiaolun Zhang, Zongshuai Yang, Stefano Bregni, Alberto Gatto, Raouf Boutaba, Massimo Tornatore
https://arxiv.org/abs/2508.10613

Routing and Wavelength Assignment with Minimal Attack Radius for QKD Networks
Quantum Key Distribution (QKD) can distribute keys with guaranteed security but remains susceptible to key exchange interruption due to physical-layer threats, such as high-power jamming attacks. To address this challenge, we first introduce a novel metric, namely Maximum Number of Affected Requests (maxNAR), to quantify the worst-case impact of a single physical-layer attack, and then we investigate a new problem of Routing and Wavelength Assignment with Minimal Attack Radius (RWA-MAR). We for…

"The best argument I heard in defense of the humanities in today’s university was:
“We cannot afford to lose all of that important cancer research.”
Come again?
Translation: The humanities are going down and taking the rest of us
—grant-funded scientists who focus on medical research or the physical sciences
—with them.
This begs the question:
Do we scientists need them?
Or, more to the point, must the fate of the sciences be tied to that…

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…

VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments
Clifton Paul Robinson, Salvatore D'Oro, Tommaso Melodia
https://arxiv.org/abs/2508.09213

VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments
Physical layer authentication (PLA) uses inherent characteristics of the communication medium to provide secure and efficient authentication in wireless networks, bypassing the need for traditional cryptographic methods. With advancements in deep learning, PLA has become a widely adopted technique for its accuracy and reliability. In this paper, we introduce VeriPHY, a novel deep learning-based PLA solution for 5G networks, which enables unique device identification by embedding signatures with…

Tracing the Physical Lineage of GRB 211211A: Population Constraints on NS-WD Merger Gamma-Ray Bursts
Xiao-Tian Xu, Bin-Bin Zhang, Yun-Lang Guo, Xiang-Dong Li
https://arxiv.org/abs/2508.10551

Tracing the Physical Lineage of GRB 211211A: Population Constraints on NS-WD Merger Gamma-Ray Bursts
The peculiar long gamma-ray burst (GRB) event, GRB 211211A, is known for it is association with a kilonova feature. Whereas most long GRBs are thought to originate in the core collapse of massive stars, the presence of kilonova suggests GRB 211211A was instead produced by a merger of a compact object binary. Building on the interpretation put forward by \citet{Yang2022Natur.612..232Y}--who argue that GRB 211211A was powered by a massive white-dwarf + neutron-star (WD-NS) merger--we adopt this W…

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…

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

Wanna download a 28pg #StarWars #Andor magazine? (.PDF)
(Physical copies were made available at a popup store in Hollywood.)
✅ Download of "Rebelión: An Andor Zine" - StarWars. com

About three-quarters of fungi are “dark taxa” – species known only by their DNA sequence, as physical specimens have not been found.
https://www.theguardian.com/environment/2025/aug/15/biology-mycorrhizal-fungi-map-restoring-world-fore…

French Judge Investigating Robert Spatz (81) Requests Spain’s Judicial Assistance
https://openbuddhism.org/justice/2025/french-judge-investigating-robert-spatz-81-requests-spains-judicial-assistance/

French Judge Investigating Robert Spatz (81) Requests Spain’s Judicial Assistance
Elodie Emery reports in ‘Le Monde’ that French judge has requested judicial assistance from the Spanish authorities in relation to an ongoing investigation into allegations of physical and sexual…

To continue with my post on examples of how I'm unique/strange/weird/unusual and how I'm proud of that fact (remember weirdo=compliment, normal=insult), here is another way of how I don't fit the male stereotype.
I love to cuddle, hug, and all forms of physical touch. I am, though, keenly aware of consent and make sure to never engage in any sort of touching unless I'm 100% confident the recipient is receptive to it and would consent to it. Touching someone, or even just bursting their p…

Clearly a work in progress. Lots of promise, but very disjointed while chemistry is built, fitness is gained, and adaptations to a faster and more physical league are happening. It's a lot of roster changes.
The defense look shaky, but often they were put in bad positions by turnovers with too many players committed. Outside backs and midfielders.
Thrilled for Chiesa to get one. Happy for Mo to continue the opening day streak.
Ekitike is my MOTM. He already looks comfor…

Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints
Chiara Zugarini, Cristina Sgattoni, Luca Sgheri
https://arxiv.org/abs/2508.10120

Machine Learning for Cloud Detection in IASI Measurements: A Data-Driven SVM Approach with Physical Constraints
Cloud detection is essential for atmospheric retrievals, climate studies, and weather forecasting. We analyze infrared radiances from the Infrared Atmospheric Sounding Interferometer (IASI) onboard Meteorological Operational (MetOp) satellites to classify scenes as clear or cloudy. We apply the Support Vector Machine (SVM) approach, based on kernel methods for non-separable data. In this study, the method is implemented for Cloud Identification (CISVM) to classify the test set using radiances…

Probing Nucleon-$\Omega_{\rm ccc}$Interaction via Lattice QCD at Physical Quark Masses
Liang Zhang, Takumi Doi, Yan Lyu, Tetsuo Hatsuda, Yu-Gang Ma
https://arxiv.org/abs/2508.10388

Probing Nucleon-$Ω_{\rm ccc}$Interaction via Lattice QCD at Physical Quark Masses
We study the S-wave interactions between the nucleon ($N$) and the triply charmed Omega baryon ($Ω_{\mathrm{ccc}}$) using (2+1)-flavor lattice QCD with a physical pion mass ($m_π\simeq 137.1$ MeV) on a lattice volume $\simeq (8.1~\mathrm{fm})^3$. The charm quark is implemented with a relativistic heavy-quark action at its physical mass. Employing the time-dependent HAL QCD method, the $N$-$Ω_{\mathrm{ccc}}$ potentials in the spin-1 ($^3\mathrm{S}_1$) and spin-2 ($^5\mathrm{S}_2$) channels ar…

Impact of stochastic star-formation histories and dust on selecting quiescent galaxies with JWST photometry
K. Lisiecki, D. Donevski, A. W. S. Man, I. Damjanov, M. Romano, S. Belli, A. Long, G. Lorenzon, K. Ma{\l}ek, Junais, C. C. Lovell, A. Nanni, C. Bertemes, W. Pearson, O. Ryzhov, M. Koprowski, A. Pollo, S. Dey, H. Thuruthipilly
https://

Impact of stochastic star-formation histories and dust on selecting quiescent galaxies with JWST photometry
While the James Webb Space Telescope (JWST) now allows identifying quiescent galaxies (QGs) out to early epochs, the photometric selection of quiescent galaxy candidates (QGCs) and the derivation of key physical quantities are highly sensitive to the assumed star-formation histories (SFHs). We aim to quantify how the inclusion of JWST/MIRI data and different SFH models impacts the selection and characterisation of QGCs. We test the robustness of the physical properties inferred from the spectra…

A Symmetry-Integrated Approach to Surface Code Decoding
Hoshitaro Ohnishi, Hideo Mukai
https://arxiv.org/abs/2509.10164 https://arxiv.org/pdf/2509.10164

A Symmetry-Integrated Approach to Surface Code Decoding
Quantum error correction, which utilizes logical qubits that are encoded as redundant multiple physical qubits to find and correct errors in physical qubits, is indispensable for practical quantum computing. Surface code is considered to be a promising encoding method with a high error threshold that is defined by stabilizer generators. However, previous methods have suffered from the problem that the decoder acquires solely the error probability distribution because of the non-uniqueness of co…

Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes
Lorenzo Ruotolo, Lara Orlandic, Pengbo Yu, Moritz Brunion, Daniele Jahier Pagliari, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Julien Ryckaert, Francky Catthoor, Yukai Chen
https://arxiv.org/abs/2508.07110…

Physical Design Exploration of a Wire-Friendly Domain-Specific Processor for Angstrom-Era Nodes
This paper presents the physical design exploration of a domain-specific processor (DSIP) architecture targeted at machine learning (ML), addressing the challenges of interconnect efficiency in advanced Angstrom-era technologies. The design emphasizes reduced wire length and high core density by utilizing specialized memory structures and SIMD (Single Instruction, Multiple Data) units. Five configurations are synthesized and evaluated using the IMEC A10 nanosheet node PDK. Key physical design m…

Nvidia debuts new Omniverse SDKs and Cosmos world foundation models for robotics devs, including Cosmos Reason, a 7B-parameter reasoning vision language model (Rebecca Szkutak/TechCrunch)
https://techcrunch.com/2025/08/11/nvid

Nvidia unveils new Cosmos world models, infra for robotics and physical uses | TechCrunch
Nvidia on Monday unveiled a set of new world AI models, libraries, and other infrastructure for robotics developers, most notable of which is Cosmos Reason, a 7-billion-parameter "reasoning" vision language model for physical AI applications and robots.

"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

Early Explorations of Recommender Systems for Physical Activity and Well-being
Alan Said
https://arxiv.org/abs/2508.07980 https://arxiv.org/pdf/2508.07980

Early Explorations of Recommender Systems for Physical Activity and Well-being
As recommender systems increasingly guide physical actions, often through wearables and coaching tools, new challenges arise around how users interpret, trust, and respond to this advice. This paper introduces a conceptual framework for tangible recommendations that influence users' bodies, routines, and well-being. We describe three design dimensions: trust and interpretation, intent alignment, and consequence awareness. These highlight key limitations in applying conventional recommender logi…

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…

Improper currents in theories with local invariance
Nuno Barros e S\'a
https://arxiv.org/abs/2508.10540 https://arxiv.org/pdf/2508.10540

Improper currents in theories with local invariance
We present a proof that the currents arising from Noether's first theorem in a physical theory with local invariance can always be decomposed into two terms, one of them vanishing on-shell, and the other having an off-shell vanishing divergence, or that they are improper, using the original terminology of Noether. We also prove that, when there is a current which is covariantly conserved, it differs from the canonical current by an improper current. Both proofs are performed in the most general…

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

PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation
Sihan Zhao, Zixuan Wang, Tianyu Luan, Jia Jia, Wentao Zhu, Jiebo Luo, Junsong Yuan, Nan Xi
https://arxiv.org/abs/2508.08179

PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation
Human motion generation has found widespread applications in AR/VR, film, sports, and medical rehabilitation, offering a cost-effective alternative to traditional motion capture systems. However, evaluating the fidelity of such generated motions is a crucial, multifaceted task. Although previous approaches have attempted at motion fidelity evaluation using human perception or physical constraints, there remains an inherent gap between human-perceived fidelity and physical feasibility. Moreover,…

Dynamic Synchronization and Resonance as a Universal Origin of 1/f Fluctuations -- Amplitude Modulation Across Music and Nature
Akika Nakamichi, Izumi Uesaka, Masahiro Morikawa
https://arxiv.org/abs/2508.10049

Dynamic Synchronization and Resonance as a Universal Origin of 1/f Fluctuations -- Amplitude Modulation Across Music and Nature
We propose a universal physical mechanism for the emergence of 1/f fluctuations, observed across a wide range of systems. In particular, we verify this on acoustic cases. The mechanism is based on amplitude modulation (AM) and demodulation (DM), where the 1/f spectral law arises not in the raw waveform but in its demodulated amplitude envelope. Two distinct yet complementary processes generate the required AM: (i) stochastic synchronization among oscillators, modeled via an extended Kuramoto fr…

Hadron-Hadron Interactions from Lattice QCD: Theory meets Experiments
Tetsuo Hatsuda
https://arxiv.org/abs/2507.08359 https://arxiv.o…

Hadron-Hadron Interactions from Lattice QCD: Theory meets Experiments
We summarize recent developments in the study of hadron-hadron interactions using lattice QCD near the physical pion mass ($m_π \simeq 146$ MeV), based on the HAL QCD method and its connection to experimental data. In particular, we focus on several key interaction channels shown below. Also, we examine the two-pion exchange (TPE) mechanism, which governs the long-range behavior of interactions between flavor-singlet hadrons, as well as between nucleons and flavor-singlet hadrons.

Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets
Nicolas Lapautre, Maria Marchenko, Carlos Miguel Pati\~no, Xin Zhou
https://arxiv.org/abs/2508.10758 ht…

Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets
Unlocking the potential of transformers on datasets of large physical systems depends on overcoming the quadratic scaling of the attention mechanism. This work explores combining the Erwin architecture with the Native Sparse Attention (NSA) mechanism to improve the efficiency and receptive field of transformer models for large-scale physical systems, addressing the challenge of quadratic attention complexity. We adapt the NSA mechanism for non-sequential data, implement the Erwin NSA model, and…

The Hot Inner AU of V883 Ori
Adolfo S. Carvalho, Lynne A. Hillenbrand, \'Agnes K\'osp\'al
https://arxiv.org/abs/2508.09939 https://arxiv.org/pd…

The Hot Inner AU of V883 Ori
The V883 Ori system is a rapidly accreting young stellar object that has been used as a laboratory for studying the molecular inventory of young circumstellar disks with high luminosity. We simultaneously fit high resolution spectroscopy and medium resolution spectrophotometry of the system to constrain the physical conditions in the inner au. Using our thin viscous accretion disk model, we find $\dot{M} = 10^{-3.9 \pm 0.2} \ M_\odot$ yr$^{-1}$, $R_\mathrm{inner} = 5.86 \pm 1 \ R_\odot$, $i = 3…

Universal Driven Critical Dynamics near the Boundary
Yu-Rong Shu, Shuai Yin
https://arxiv.org/abs/2509.10049 https://arxiv.org/pdf/2509.10049

Universal Driven Critical Dynamics near the Boundary
The celebrated Kibble-Zurek mechanism (KZM) describes the scaling of physical quantities when external parameters sweep through a critical point. Boundaries are ubiquitous in real systems, and critical behaviors near the boundary have attracted extensive research. Different boundary universality classes, including ordinary, special, extraordinary, and surface transitions, have been identified. However, the driven critical dynamics near boundaries remains unexplored. Here, we systematically inve…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Adam and The Ants:
🎵 Physical (You're So)
#AdamandTheAnts
https://tragedyvampires.bandcamp.com/track/physical-youre-so-adam-the-ants-cover

Nanoscale symmetry protection of the reciprocal acoustoelectric effect
Sandeep Vijayan, Stephan Suffit, Scott E. Cooper, Yejun Feng
https://arxiv.org/abs/2507.08314

Nanoscale symmetry protection of the reciprocal acoustoelectric effect
Neumann's principle states that all physical properties of a material are bound by its symmetry. While bulk crystals follow well-defined point and space groups, phenomena at a substrate's surface could have less apparent symmetry origins. Here we experimentally explore both reciprocal and non-reciprocal types of acoustoelectric (AE) effects driven by surface acoustic waves (SAW). The non-reciprocal AE voltage is connected to the natural single-phase unidirectional transducer from device enginee…

Singularities in loop quantum cosmology
Martin Bojowald, Manuel Diaz, Erick I. Duque
https://arxiv.org/abs/2507.08116 https://arxiv.o…

Singularities in loop quantum cosmology
Quantum effects are expected to modify the cosmological dynamics of the early universe while maintaining some (potentially discrete) notion of space-time structure. In one approach, loop quantum cosmology, current models are shown here to either be incompatible with a consistent space-time structure, or to have physical singularities. The latter happens in spite of a non-zero scale factor in the isotropic background dynamics. A new effective Friedmann equation shows that a bounce is obtained at…

"it is undeniable that Kirk was not just a part of the extremely tense, very dangerous national dialogue, he was an accelerationist force whose work to dehumanize LGBTQ people and threaten the free speech of professors, teachers, and school board members around the country has directly put the livelihoods and physical safety of many people in danger. We do no one any favors by ignoring this, even in the immediate aftermath of an assassination like this."
(Original title: Cha…

Charlie Kirk Was Not Practicing Politics the Right Way
The mainstream media seems entirely uninterested in explaining Charlie Kirk's work.

Route Planning and Online Routing for Quantum Key Distribution Networks
Jorge L\'opez, Charalampos Chatzinakis, Marc Cartigny
https://arxiv.org/abs/2508.09735 https://

Route Planning and Online Routing for Quantum Key Distribution Networks
Quantum Key Distribution (QKD) networks harness the principles of quantum physics in order to securely transmit cryptographic key material, providing physical guarantees. These networks require traditional management and operational components, such as routing information through the network elements. However, due to the limitations on capacity and the particularities of information handling in these networks, traditional shortest paths algorithms for routing perform poorly on both route planni…

Beyond LambdaCDM: How the Hubble tension challenges early universe physics
Gawain Simpson, Krzysztof Bolejko, Stephen Walters
https://arxiv.org/abs/2507.08479

Beyond LambdaCDM: How the Hubble tension challenges early universe physics
Differences in the values of the Hubble constant obtained from the local universe and the early universe have resulted in a significant tension. This tension signifies that our understanding of cosmology (physical processes and/or cosmological data) is incomplete. Some of the suggested solutions include physics of the early Universe. In this paper we aim to investigate common features of various early universe solutions to the Hubble constant tension. The physics of the early universe affects t…

Perfectly transparent boundary conditions and wave propagation in lattice Boltzmann schemes
Thomas Bellotti (EM2C)
https://arxiv.org/abs/2509.10066 https://

Perfectly transparent boundary conditions and wave propagation in lattice Boltzmann schemes
Systems of N = 1, 2, . . . first-order hyperbolic conservation laws feature N undamped waves propagating at finite speeds. On their own hand, multi-step Finite Difference and lattice Boltzmann schemes with q = N + 1, N + 2, . . . unknowns involve N ''physical'' waves, which are aimed at being as closely-looking as possible to the ones of the PDEs, and q-N ''numerical-spurious-parasitic'' waves, which are subject to their own speed of propagation, and either damped or undamped. The whole picture…

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 (…

having to explain to a customer support rep what mail is was NOT on my 2025 bingo card 😭

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! ;)

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…

A universal extension of helicity to topological flows
Oliver Edtmair, Sobhan Seyfaddini
https://arxiv.org/abs/2508.10609 https://arxiv.org/pdf/2508.10609

A universal extension of helicity to topological flows
Helicity is a fundamental conserved quantity in physical systems governed by vector fields whose evolution is described by volume-preserving transformations on a three-manifold. Notable examples include inviscid, incompressible fluid flows, modeled by the three-dimensional Euler equations, and conducting plasmas, described by the magnetohydrodynamics (MHD) equations. A key property of helicity is its invariance under volume-preserving diffeomorphisms. In an influential article from 1973, Arnold…

Entanglement certification from moments of positive maps
Qing-Hua Zhang, Xiaoyu Ma, Shao-Ming Fei
https://arxiv.org/abs/2508.09766 https://arxiv.org/pdf/25…

Entanglement certification from moments of positive maps
Entanglement certification is crucial in physical experiments, particularly when only partial knowledge of the quantum state is available. In this context, we present an entanglement criterion based on positive but not completely positive maps, which eliminates the need to identify eigenvalues of the output state. Notably, the Faddeev-LeVerrier algorithm establishes a relationship between the coefficients of characteristic polynomials and the moments of a matrix. This enables the existence of n…

In-situ Value-aligned Human-Robot Interactions with Physical Constraints
Hongtao Li, Ziyuan Jiao, Xiaofeng Liu, Hangxin Liu, Zilong Zheng
https://arxiv.org/abs/2508.07606 https:…

In-situ Value-aligned Human-Robot Interactions with Physical Constraints
Equipped with Large Language Models (LLMs), human-centered robots are now capable of performing a wide range of tasks that were previously deemed challenging or unattainable. However, merely completing tasks is insufficient for cognitive robots, who should learn and apply human preferences to future scenarios. In this work, we propose a framework that combines human preferences with physical constraints, requiring robots to complete tasks while considering both. Firstly, we developed a benchmar…

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…

Handows: A Palm-Based Interactive Multi-Window Management System in Virtual Reality
Jindu Wang, Ke Zhou, Haoyu Ren, Per Ola Kristensson, Xiang Li
https://arxiv.org/abs/2508.09469

Handows: A Palm-Based Interactive Multi-Window Management System in Virtual Reality
Window management in virtual reality (VR) remains a challenging task due to the spatial complexity and physical demands of current interaction methods. We introduce Handows, a palm-based interface that enables direct manipulation of spatial windows through familiar smartphone-inspired gestures on the user's non-dominant hand. Combining ergonomic layout design with body-centric input and passive haptics, Handows supports four core operations: window selection, closure, positioning, and scaling. …

Strings from Almost Nothing
Clifford Cheung, Grant N. Remmen, Francesco Sciotti, Michele Tarquini
https://arxiv.org/abs/2508.09246 https://arxiv.org/pdf/25…

Strings from Almost Nothing
We argue that string theory emerges inevitably from a few simple assumptions about physical scattering. Consistency alone requires that all tree-level four-point scattering amplitudes exhibit vanishing residues at prescribed values of the momentum transfer. Assuming ultrasoft high-energy behavior, we then prove that the space of minimally consistent amplitudes, whose residues exhibit these mandated zeros and nothing more, are precisely the amplitudes of Veneziano and Virasoro-Shapiro, thus esta…

A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
Rongqian Chen, Allison Andreyev, Yanming Xiu, Mahdi Imani, Bin Li, Maria Gorlatova, Gang Tan, Tian Lan
https://arxiv.org/abs/2508.09185

A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality
Augmented Reality (AR) enriches perception by overlaying virtual elements on the physical world. Due to its growing popularity, cognitive attacks that alter AR content to manipulate users' semantic perception have received increasing attention. Existing detection methods often focus on visual changes, which are restricted to pixel- or image-level processing and lack semantic reasoning capabilities, or they rely on pre-trained vision-language models (VLMs), which function as black-box approaches…

Online Safety under Multiple Constraints and Input Bounds using gatekeeper: Theory and Applications
Devansh R. Agrawal, Dimitra Panagou
https://arxiv.org/abs/2508.09963 https://…

Online Safety under Multiple Constraints and Input Bounds using gatekeeper: Theory and Applications
This letter presents an approach to guarantee online safety of a cyber-physical system under multiple state and input constraints. Our proposed framework, called gatekeeper, recursively guarantees the existence of an infinite-horizon trajectory that satisfies all constraints and system dynamics. Such trajectory is constructed using a backup controller, which we define formally in this paper. gatekeeper relies on a small number of verifiable assumptions, and is computationally efficient since it…

Mod\`ele physique variationnel pour l'estimation de r\'eponses impulsionnelles de salles
Louis Lalay (LTCI, IP Paris, S2A), Mathieu Fontaine (LTCI, IP Paris, S2A), Roland Badeau (S2A, LTCI, IP Paris)
https://arxiv.org/abs/2507.08051

Modèle physique variationnel pour l'estimation de réponses impulsionnelles de salles
Room impulse response estimation is essential for tasks like speech dereverberation, which improves automatic speech recognition. Most existing methods rely on either statistical signal processing or deep neural networks designed to replicate signal processing principles. However, combining statistical and physical modeling for RIR estimation remains largely unexplored. This paper proposes a novel approach integrating both aspects through a theoretically grounded model. The RIR is decomposed in…

"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

Data-Driven Stabilisation of Unstable Periodic Orbits of the Three-Body Problem
Owen M. Brook, Jason J. Bramburger, Davide Amato, Urban Fasel
https://arxiv.org/abs/2507.08630

Data-Driven Stabilisation of Unstable Periodic Orbits of the Three-Body Problem
Many different models of the physical world exhibit chaotic dynamics, from fluid flows and chemical reactions to celestial mechanics. The study of the three-body problem (3BP) and its many different families of unstable periodic orbits (UPOs) have provided fundamental insight into chaotic dynamics as far back as the 19th century. The 3BP, a conservative system, is inherently challenging to sample due to its volume-preservation property. In this paper we present an interpretable data-driven appr…

Unambiguous GeV gamma-rays from molecular clouds illuminated by particles diffusing from the adjacent supernova remnant G335.2 0.1 that is confined in an expanding bubble
Chen Huang, Xiao Zhang, Yang Chen, Qian-Qian Zhang, Wen-Juan Zhong, Xin Zhou
https://arxiv.org/abs/2507.08709

Unambiguous GeV gamma-rays from molecular clouds illuminated by particles diffusing from the adjacent supernova remnant G335.2+0.1 that is confined in an expanding bubble
We report the detection of GeV gamma-ray emission likely associated with supernova remnant (SNR) G335.2+0.1 and the finding of a molecular cloud ($\sim20$--$30^\prime$ in angular size) that is very likely in physical contact with the SNR and responsible for the gamma-ray emission. Using the 16.8 yr Fermi-LAT data, an extended emission, with a significance of 13.5 $σ$ and a radius 0.24° in 0.2--500 GeV in the uniform-disk model, was found to the adjacent east of the SNR. With archival Mopra CO…

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Wenlong Liang, Rui Zhou, Yang Ma, Bing Zhang, Songlin Li, Yijia Liao, Ping Kuang
https://arxiv.org/abs/2508.10399

Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
Embodied AI aims to develop intelligent systems with physical forms capable of perceiving, decision-making, acting, and learning in real-world environments, providing a promising way to Artificial General Intelligence (AGI). Despite decades of explorations, it remains challenging for embodied agents to achieve human-level intelligence for general-purpose tasks in open dynamic environments. Recent breakthroughs in large models have revolutionized embodied AI by enhancing perception, interaction,…

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 4092 nodes and 63677 edges.
Tags: Biological, Gene regulation, Protein interactions, Unwe…

Data-Driven Topological Analysis of Polymorphic Crystal Structures
Sourin Dey, Nicholas Miklaucic, Sadman Sadeed Omee, Rongzhi Dong, Lai Wei, Qinyang Li, Nihang Fu, Jianjun Hu
https://arxiv.org/abs/2508.10270

Data-Driven Topological Analysis of Polymorphic Crystal Structures
Polymorphism, the ability of a compound to crystallize in multiple distinct structures, plays a vital role in determining the physical, chemical, and functional properties of materials. Accurate identification and prediction of polymorphic structures are critical for materials design, drug development, and device optimization, as unknown or overlooked polymorphs may lead to unexpected performance or stability issues. Despite its significance, predicting polymorphism directly from a chemical com…

Crosslisted article(s) found for cs.NI. https://arxiv.org/list/cs.NI/new
[1/1]:
- An Architecture for Distributed Digital Identities in the Physical World
Ren\'e Mayrhofer, Michael Roland, Tobias H\"oller, Philipp Hofer, Mario Lins

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…

Empirical Evaluation of Memory-Erasure Protocols
Reynaldo Gil-Pons, Sjouke Mauw, Rolando Trujillo-Rasua
https://arxiv.org/abs/2509.10224 https://arxiv.org/…

Empirical Evaluation of Memory-Erasure Protocols
Software-based memory-erasure protocols are two-party communication protocols where a verifier instructs a computational device to erase its memory and send a proof of erasure. They aim at guaranteeing that low-cost IoT devices are free of malware by putting them back into a safe state without requiring secure hardware or physical manipulation of the device. Several software-based memory-erasure protocols have been introduced and theoretically analysed. Yet, many of them have not been tested fo…

Replaced article(s) found for astro-ph.GA. https://arxiv.org/list/astro-ph.GA/new
[1/1]:
- Different physical and numerical sources of scatter in the $M_{\star}$-$M_{\mathrm{BH}}$ relation...
Bocheng Zhu, Volker Springel

$c_\text{eff}$ from Surgery and Modularity
Shimal Harichurn, Mrunmay Jagadale, Dmitry Noshchenko, Davide Passaro
https://arxiv.org/abs/2508.10087 https://a…

$c_\text{eff}$ from Surgery and Modularity
$\widehat{Z}$ invariants, rigorously defined for negative definite plumbed 3-manifolds, are expected--on physical grounds--to exist for every closed, oriented 3-manifold. Several prescriptions have been proposed to extend their definition to generic plumbings by reversing the orientation of a negative definite plumbing, thus turning it into a positive definite one. Two existing proposals are relevant for this paper: (i) the regularized $+1/r$-surgery conjecture combined with the false-mock modu…

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
Daniel Raffini, Agnese Macori, Marco Angelini, Tiziana Catarci
https://arxiv.org/abs/2508.09651 https…

A Close Reading Approach to Gender Narrative Biases in AI-Generated Stories
The paper explores the study of gender-based narrative biases in stories generated by ChatGPT, Gemini, and Claude. The prompt design draws on Propp's character classifications and Freytag's narrative structure. The stories are analyzed through a close reading approach, with particular attention to adherence to the prompt, gender distribution of characters, physical and psychological descriptions, actions, and finally, plot development and character relationships. The results reveal the persiste…

Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
Amandip Sangha
https://arxiv.org/abs/2509.09991 https://

Data-Driven Energy Estimation for Virtual Servers Using Combined System Metrics and Machine Learning
This paper presents a machine learning-based approach to estimate the energy consumption of virtual servers without access to physical power measurement interfaces. Using resource utilization metrics collected from guest virtual machines, we train a Gradient Boosting Regressor to predict energy consumption measured via RAPL on the host. We demonstrate, for the first time, guest-only resource-based energy estimation without privileged host access with experiments across diverse workloads, achiev…

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Yanbing Zeng, Xiaoming Wei
https://arxiv.org/abs/2509.10260

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
Text-to-image (T2I) generation has achieved remarkable progress in instruction following and aesthetics. However, a persistent challenge is the prevalence of physical artifacts, such as anatomical and structural flaws, which severely degrade perceptual quality and limit application. Given the diversity and complexity of these artifacts, a systematic and fine-grained evaluation framework is required, which is lacking in current benchmarks. To fill this gap, we introduce MagicMirror, a comprehens…

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…

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 …

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 800 nodes and 6429 edges.
Tags: Social, Offline, Unwei…

Phonon anomalies, Anharmonicity, and thermal expansion coefficient in few layered PtX2 (X= S, Se): A temperature dependent Raman study
Atul G. Chakkar, Chaitanya B. Auti, Gaurav Bassi, Mukesh Kumar, Pradeep Kumar
https://arxiv.org/abs/2508.10591

Phonon anomalies, Anharmonicity, and thermal expansion coefficient in few layered PtX2 (X= S, Se): A temperature dependent Raman study
Two-dimensional group-10 noble transition metal dichalcogenides have garnered growing attention due to their rich physical properties and promising applications across nanoelectronics, optoelectronics, and spintronics. Among them, PtX2 (X = S, Se) exhibits pronounced interlayer coupling driven by hybridization of the out-of-plane Pz orbitals of the chalcogen atoms. In this work, we present a detailed temperature and polarization-resolved Raman spectroscopic study of few-layer PtS2 and PtSe2 ove…

Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits
Zahra Hassanzadeh, David Haag, Lydia Chilton, Jan Smeddinck, Norman Farb, Joseph Jay Williams
https://arxiv.org/abs/2508.09312

Micro-Health Interventions: Exploring Design Strategies for 1-Minute Interventions as a Gateway to Healthy Habits
One-minute behavior change interventions might seem too brief to matter. Could something so short really help people build healthier routines? This work explores this question through two studies examining how ultra-brief prompts might encourage meaningful actions in daily life. In a formative study, we explored how participants engaged with one-minute prompts across four domains: physical activity, eating, screen use, and mental well-being. This revealed two common design approaches: Immediate…

Witnessing downsizing in the making: quiescent and breathing galaxies at the dawn of the Universe
Emiliano Merlin, Flaminia Fortuni, Antonello Calabr\'o, Marco Castellano, Paola Santini, Adriano Fontana, Lucas C. Kimmig, Francesco Shankar, Lorenzo Napolitano, Anton M. Koekemoer, Ray A. Lucas, Fabio Pacucci, Michael C. Cooper, Michaela Hirschmann, Pablo G. P\'erez-Gonz\'alez, Guillermo Barro, Mark Dickinson, Giovanni Gandolfi, Norman A. Grogin, Xin Wang

Witnessing downsizing in the making: quiescent and breathing galaxies at the dawn of the Universe
[Shortened for arXiv] We conduct a systematic search for $\log(M_\ast/M_\odot) \geq 9.5$ quiescent galaxies at $z > 3$ in six extragalactic deep fields observed with NIRCam, with the goal of extracting their physical and statistical features in a uniform and self-consistent manner. We exploit the ASTRODEEP-JWST photometric catalogs to single out robust candidates, including sources quenched only a few tens of Myr before the observation. We apply a SED-fitting procedure which explores three func…

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…

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…

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…

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.
👨‍⚕️😆

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…

Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Wei Shan Lee, I Hang Kwok, Kam Ian Leong, Chi Kiu Althina Chau, Kei Chon Sio
https://arxiv.org/abs/2508.10718

Symmetry-Constrained Multi-Scale Physics-Informed Neural Networks for Graphene Electronic Band Structure Prediction
Accurate prediction of electronic band structures in two-dimensional materials remains a fundamental challenge, with existing methods struggling to balance computational efficiency and physical accuracy. We present the Symmetry-Constrained Multi-Scale Physics-Informed Neural Network (SCMS-PINN) v35, which directly learns graphene band structures while rigorously enforcing crystallographic symmetries through a multi-head architecture. Our approach introduces three specialized ResNet-6 pathways -…

High-$Q$ superconducting resonators fabricated in an industry-scale semiconductor-fabrication facility
Nicolas Arlt, Karina Houska, Jochen Braum\"uller, Michael Kirsch, Gerhard Metzger-Br\"uckl, Wolfgang Raberg, Thomas Stangl, Stefan Filipp, Jash Banker, Florian Brandl
https://arxiv.org/abs/2508.09577

High-$Q$ superconducting resonators fabricated in an industry-scale semiconductor-fabrication facility
Universal quantum computers promise to solve computational problems that are beyond the capabilities of known classical algorithms. To realize such quantum hardware on a superconducting material platform, a vast number of physical qubits has to be manufactured and integrated at high quality and uniformity on a chip. Anticipating the benefits of semiconductor industry processes in terms of process control, uniformity and repeatability, we set out to manufacture superconducting quantum circuits i…

Crosslisted article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/1]:
- Australian Supermarket Object Set (ASOS): A Benchmark Dataset of Physical Objects and 3D Models f...
Akansel Cosgun, Lachlan Chumbley, Benjamin J. Meyer

System design and realisation towards optimising secure key bits in free space QKD
Pooja Chandravanshi, Jayanth Ramakrishnan, Tanya Sharma, Ayan Biswas, Ravindra P. Singh
https://arxiv.org/abs/2508.10458

System design and realisation towards optimising secure key bits in free space QKD
Quantum Key Distribution (QKD) is rapidly transitioning from cutting-edge laboratory research to real-world deployment in established communication networks. Although QKD promises future-proof security, practical challenges stil exist due to imperfections in physical devices. Many protocols offer strong security guarantees, but their implementation can be complex and difficult. To bridge this gap, we present a practical and systematic framework for implementing QKD, focused on the BB84 protocol…

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- Environmental force sensing helps robots traverse cluttered large obstacles using physical intera...
Qihan Xuan, Chen Li

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
David Stotko, Reinhard Klein
https://arxiv.org/abs/2509.08828 ht…

SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
The reconstruction of three-dimensional dynamic scenes is a well-established yet challenging task within the domain of computer vision. In this paper, we propose a novel approach that combines the domains of 3D geometry reconstruction and appearance estimation for physically based rendering and present a system that is able to perform both tasks for fabrics, utilizing only a single monocular RGB video sequence as input. In order to obtain realistic and high-quality deformations and renderings, …

Toward Human-Robot Teaming: Learning Handover Behaviors from 3D Scenes
Yuekun Wu, Yik Lung Pang, Andrea Cavallaro, Changjae Oh
https://arxiv.org/abs/2508.09855 https://

Toward Human-Robot Teaming: Learning Handover Behaviors from 3D Scenes
Human-robot teaming (HRT) systems often rely on large-scale datasets of human and robot interactions, especially for close-proximity collaboration tasks such as human-robot handovers. Learning robot manipulation policies from raw, real-world image data requires a large number of robot-action trials in the physical environment. Although simulation training offers a cost-effective alternative, the visual domain gap between simulation and robot workspace remains a major limitation. We introduce a …

Interpreting quantum reference frame transformations through a simple example
Esteban Castro-Ruiz, Thomas D. Galley, Leon Loveridge
https://arxiv.org/abs/2508.09540 https://

Interpreting quantum reference frame transformations through a simple example
Quantum reference frame transformations have been proposed to provide a means by which to translate descriptions of quantum systems relative to each other. At present, there are several differing frameworks for describing quantum reference frames, with concomitantly different transformation rules. Here, we investigate a simple example of three qubit systems with $\mathbb{Z}_2$ symmetry in order to analyze physical and conceptual distinctions between three contemporary approaches to quantum refe…

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Xiyan Huang, Zhe Xu, Chenxi Xiao
https://arxiv.org/abs/2509.10063 https://

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
Robot skill acquisition processes driven by reinforcement learning often rely on simulations to efficiently generate large-scale interaction data. However, the absence of simulation models for tactile sensors has hindered the use of tactile sensing in such skill learning processes, limiting the development of effective policies driven by tactile perception. To bridge this gap, we present TwinTac, a system that combines the design of a physical tactile sensor with its digital twin model. Our har…