Tootfinder

Help Calves and Sheep Beaten for Car Interiors #AnimalRights

Help Calves and Sheep Beaten for Car Interiors
Did you know that it takes an average of three cows' hides to cover the interior of a standard car? Take action!

Observers and Timekeepers: From the Page-Wootters Mechanism to the Gravitational Path Integral
Zixia Wei
https://arxiv.org/abs/2506.21489 https://

Observers and Timekeepers: From the Page-Wootters Mechanism to the Gravitational Path Integral
Quantum gravity in a closed universe faces two a priori distinct yet seemingly related issues: the problem of time and the fact that its Hilbert space dimension is one. Both have been argued to be resolvable by formulating physics relative to an observer. Using a simple gravitational path integral model, we explain that the two issues arise from two distinct non-perturbative effects: the former from summing over metrics and the latter from summing over topologies. We then revisit the Page-Woott…

A couple of folks said I should replace the pop-over email signup form on my blog with a much more subtle inline signup form at the top of the page. So! If you'd like to reward the more user-friendly design with your patronage and support (it's free, I only ask for your attention), you can sign up to get my new posts in your inbox just by sharing your email address. I won't spam you or sell your email, and don't post too often.

Anil Dash
A blog about making culture. Since 1999.

Persistent subradiant correlations in a random driven Dicke model
Nikita Leppenen, Alexander N. Poddubny
https://arxiv.org/abs/2507.19467 https://arxiv.org…

Persistent subradiant correlations in a random driven Dicke model
We study theoretically the driven-dissipative dynamics of an array of two-level emitters, coupled to a single photonic mode, in the presence of disorder in the resonant frequencies. We introduce the notion of subradiant correlations in the dynamics, corresponding to the eigenstates of the Liouvillian with a low decay rate, that can also oscillate in time. While the usual collective subradiant states do not survive the emitter resonant frequency fluctuations, these subradiant correlations are im…

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
Xuehui Wang, Zhenyu Wu, JingJing Xie, Zichen Ding, Bowen Yang, Zehao Li, Zhaoyang Liu, Qingyun Li, Xuan Dong, Zhe Chen, Weiyun Wang, Xiangyu Zhao, Jixuan Chen, Haodong Duan, Tianbao Xie, Chenyu Yang, Shiqian Su, Yue Yu, Yuan Huang, Yiqian Liu, Xiao Zhang, Yanting Zhang, Xiangyu Yue, Weijie Su, Xizhou Zhu, Wei Shen, Jifeng Dai, Wenhai Wang

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
We introduce MMBench-GUI, a hierarchical benchmark for evaluating GUI automation agents across Windows, macOS, Linux, iOS, Android, and Web platforms. It comprises four levels: GUI Content Understanding, Element Grounding, Task Automation, and Task Collaboration, covering essential skills for GUI agents. In addition, we propose a novel Efficiency-Quality Area (EQA) metric to assess GUI agent execution efficiency in online automation scenarios. Through MMBench-GUI, we identify accurate visual gr…

Replaced article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- The Flat Cover Conjecture for Monoid Acts
Sean Cox
https://

On Automating Proofs of Multiplier Adder Trees using the RTL Books
Mayank Manjrekar (Arm Inc.)
https://arxiv.org/abs/2507.19010 https://arxiv.org/pdf/2507.…

On Automating Proofs of Multiplier Adder Trees using the RTL Books
We present an experimental, verified clause processor ctv-cp that fits into the framework used at Arm for formal verification of arithmetic hardware designs. This largely automates the ACL2 proof development effort for integer multiplier modules that exist in designs ranging from floating-point division to matrix multiplication.

The #Wikipedia page you all may want to be reading up on to understand today’s events may be this one: https://en.wikipedia.org/wiki/United_States_Court_of_International_Tra…

United States Court of International Trade - Wikipedia

Short-Range Approximation to Casimir Wormholes Inspired by Scalar and Electric Fields
Remo Garattini, Athanasios G. Tzikas
https://arxiv.org/abs/2507.19134 https://

Short-Range Approximation to Casimir Wormholes Inspired by Scalar and Electric Fields
We investigate a static traversable wormhole sustained by a combination of a minimally coupled scalar field and an electric field, with exotic matter sourced by Casimir energy. Considering two scenarios, where the Casimir plate separation is either radially variable or fixed, we derive analytical near-throat solutions for both massless and massive scalar fields. To ensure consistency of the field equations, a thermal tensor is also incorporated, consisting solely of pressure terms that vanish a…

The EU intends to introduce a universal app for online age verification, for adults and children alike.
Done ahead of the implementation of a broader Digital wallet.
See page 11 of their recently launched guidelines (which are open for feedback);

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Michael Amir, Guang Yang, Zhan Gao, Keisuke Okumura, Heedo Woo, Amanda Prorok
https://arxiv.org/abs/2507.19151

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
Constraint-based optimization is a cornerstone of robotics, enabling the design of controllers that reliably encode task and safety requirements such as collision avoidance or formation adherence. However, handcrafted constraints can fail in multi-agent settings that demand complex coordination. We introduce ReCoDe--Reinforcement-based Constraint Design--a decentralized, hybrid framework that merges the reliability of optimization-based controllers with the adaptability of multi-agent reinforce…

Virtual local area network over HTTP for launching an insider attack
Yuksel Arslan
https://arxiv.org/abs/2507.19055 https://arxiv.org/pdf/2507.19055…

Virtual local area network over HTTP for launching an insider attack
Computers and computer networks have become integral to virtually every aspect of modern life, with the Internet playing an indispensable role. Organizations, businesses, and individuals now store vast amounts of proprietary, confidential, and personal data digitally. As such, ensuring the security of this data from unauthorized access is critical. Common security measures, such as firewalls, intrusion detection systems (IDS), intrusion prevention systems (IPS), and antivirus software, are cons…

MemoCoder: Automated Function Synthesis using LLM-Supported Agents
Yiping Jia, Zhen Ming Jiang, Shayan Noei, Ying Zou
https://arxiv.org/abs/2507.18812 https://

MemoCoder: Automated Function Synthesis using LLM-Supported Agents
With the widespread adoption of Large Language Models (LLMs) such as GitHub Copilot and ChatGPT, developers increasingly rely on AI-assisted tools to support code generation. While LLMs can generate syntactically correct solutions for well-structured programming tasks, they often struggle with challenges that require iterative debugging, error handling, or adaptation to diverse problem structures. Existing approaches such as fine-tuning or self-repair strategies either require costly retraining…

A Truncated Primordial Power Spectrum and its Impact on CMB Polarization
Jingwei Liu, Fulvio Melia
https://arxiv.org/abs/2507.19342 https://arxiv.org/pdf/2…

A Truncated Primordial Power Spectrum and its Impact on CMB Polarization
We investigate the impact of a hypothesized delayed initiation of inflation, characterized by a cutoff k_min to the primordial power spectrum in the cosmic microwave background (CMB). This cutoff affects both the scalar and tensor spectra, which therefore impacts several measurements of the temperature and polarization distributions. We calculate the angular power spectrum and correlation function with and without k_min in the context of Planck-LCDM, and demonstrate that a non-zero k_min signif…

A Therapeutic Role-Playing VR Game for Children with Intellectual Disabilities
Santiago Berrezueta-Guzman, WenChun Chen, Stefan Wagner
https://arxiv.org/abs/2507.19114 https://

A Therapeutic Role-Playing VR Game for Children with Intellectual Disabilities
Virtual Reality (VR) offers promising avenues for innovative therapeutic interventions in populations with intellectual disabilities (ID). This paper presents the design, development, and evaluation of Space Exodus, a novel VR-based role-playing game specifically tailored for children with ID. By integrating immersive gameplay with therapeutic task design, Space Exodus aims to enhance concentration, cognitive processing, and fine motor skills through structured hand-eye coordination exercises. …

Me when visiting #GitHub via Tor.
#Codeberg

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Mathematical Foundation of Sparsity-based Multi-snapshot Spectral Estimation
Ping Liu, Sanghyeon Yu, Ola Sabet, Lucas Pelkmans, Habib Ammari

Benchmarking Multimodal Understanding and Complex Reasoning for ESG Tasks
Lei Zhang, Xin Zhou, Chaoyue He, Di Wang, Yi Wu, Hong Xu, Wei Liu, Chunyan Miao
https://arxiv.org/abs/2507.18932

Benchmarking Multimodal Understanding and Complex Reasoning for ESG Tasks
Environmental, Social, and Governance (ESG) reports are essential for evaluating sustainability practices, ensuring regulatory compliance, and promoting financial transparency. However, these documents are often lengthy, structurally diverse, and multimodal, comprising dense text, structured tables, complex figures, and layout-dependent semantics. Existing AI systems often struggle to perform reliable document-level reasoning in such settings, and no dedicated benchmark currently exists in ESG …

[2025-07-28 Mon (UTC), 5 new articles found for cs.DC Distributed, Parallel, and Cluster Computing]
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[2025-07-28 Mon (UTC), 5 new articles found for math.NT Number Theory]
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This https://arxiv.org/abs/2505.08742 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model
Green's functions are a useful technique for interpreting atmospheric state responses to changes in the spatial pattern of sea surface temperature (SST). Here we train version 2 of the Ai2 Climate Emulator (ACE2) on reference historical SST simulations of the US Department of Energy's EAMv3 global atmosphere model. We compare how well the SST Green's functions generated by ACE2 match those of EAMv3, following the protocol of the Green's Function Model Intercomparison Project (GFMIP). The spatia…

Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Computational Approaches to the Singer Transfer: Preimages in the Lambda Algebra and $G_k$-Invari...
Dang Vo Phuc

Low-Complexity 6DMA Rotation and Position Optimization Based on Statistical Channel Information
Qijun Jiang, Xiaodan Shao, Rui Zhang
https://arxiv.org/abs/2507.19309 https://

Low-Complexity 6DMA Rotation and Position Optimization Based on Statistical Channel Information
The six-dimensional movable antenna (6DMA) is a promising technology to fully exploit spatial variation in wireless channels by allowing flexible adjustment of three-dimensional (3D) positions and rotations of antennas at the transceiver. In this paper, we consider a 6DMA-equipped base station (BS) and aim to maximize the average sum logarithmic rate of all users served by the BS by jointly designing 6DMA surface positions and rotations based on statistical channel information (SCI). Different …

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
Bruno Dall'Agnol de Oliveira, Thaisa Storchi-Bergmann, Neil Nagar, Santiago Garcia-Burillo, Rogemar A. Riffel, Dominika Wylezalek, Pranav Kukreti, Venkatessh Ramakrishnan
https://arxiv.org/abs/2507.…

NGC 6860, Mrk 915 and MCG -01-24-012. I. Spatial anti-correlation between cold molecular and ionized gas distributions in Seyfert galaxies
We present a study of the cold molecular versus the ionized gas distribution in three nearby Seyfert galaxies: NGC 6860, Mrk 915 and MCG -01-24-012. To constrain the cold molecular flux distribution at $\sim$ 0.5 - 0.8$^{\prime\prime}$ ($\sim$ 150 - 400 pc) scales, we used data from the CO(2-1) emission line, obtained with the Atacama Large Millimeter/submillimeter Array (ALMA). For the ionized gas, we used Hubble Space Telescope (HST) narrow-band images, centered on the [O III]$λλ$4959,5007 …

J'ai trouvé #pedantix nº1172 en 7 coups !
🟩🟩🟩🟩🟩🟧🟧🟧🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥🟥
https://pedantix.certitudes.org/

[2025-06-27 Fri (UTC), 6 new articles found for math-ph Mathematical Physics]
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Replaced article(s) found for math.DG. https://arxiv.org/list/math.DG/new
[1/1]:
- Quantum propagation for Berezin-Toeplitz operators
Laurent Charles (IMJ-PRG), Yohann Le Floch (IRMA)

OptGM: An Optimized Gate Merging Method to Mitigate NBTI in Digital Circuits
Maryam Ghane, Amir M. Hajisadeghi, Hamid R. Zarandi
https://arxiv.org/abs/2506.21487

OptGM: An Optimized Gate Merging Method to Mitigate NBTI in Digital Circuits
This paper presents OptGM, an optimized gate merging method designed to mitigate negative bias temperature instability (NBTI) in digital circuits. First, the proposed approach effectively identifies NBTI-critical internal nodes, defined as those with a signal probability exceeding a predefined threshold. Next, based on the proposed optimized algorithm, the sensitizer gate (which drives the critical node) and the sensitive gate (which is fed by it) are merged into a new complex gate. This comple…

From the light curves of Long Period Variables to their evolution along the AGB
Pham Thi Tuyet Nhung, Mai Nhat Tan, Do Thi Hoai, Pierre Darriulat
https://arxiv.org/abs/2507.18936

From the light curves of Long Period Variables to their evolution along the AGB
A sample of 116 Long Period Variables is studied with the aim to reveal relations between the properties of their light curves and of their evolution along the Asymptotic Giant Branch (AGB). Each light curve is carefully scrutinized and its properties are summarized in a set of five parameters. The picture that had been sketched in an earlier work is clarified and new features are revealed. In particular, the evolution on the AGB of stars having not yet experienced a third dredge-up event is sh…

This https://arxiv.org/abs/2503.03711 has been replaced.
initial toot: https://mastoxiv.page/@a…

The shear Alfvén continuum of quasisymmetric stellarators
The shear Alfvén wave (SAW) continuum plays a critical role in the stability of energetic particle-driven Alfvén eigenmodes. We develop a theoretical framework to analyze the SAW continuum in three-dimensional quasisymmetric magnetic fields, focusing on its implications for stellarator design. By employing a near-axis model and degenerate perturbation theory, the continuum equation is solved, highlighting unique features in 3D configurations, such as the interactions between spectral gaps. Nu…

Query Efficient Structured Matrix Learning
Noah Amsel, Pratyush Avi, Tyler Chen, Feyza Duman Keles, Chinmay Hegde, Cameron Musco, Christopher Musco, David Persson
https://arxiv.org/abs/2507.19290

Query Efficient Structured Matrix Learning
We study the problem of learning a structured approximation (low-rank, sparse, banded, etc.) to an unknown matrix $A$ given access to matrix-vector product (matvec) queries of the form $x \rightarrow Ax$ and $x \rightarrow A^Tx$. This problem is of central importance to algorithms across scientific computing and machine learning, with applications to fast multiplication and inversion for structured matrices, building preconditioners for first-order optimization, and as a model for differential …

[2025-07-28 Mon (UTC), 1 new article found for math.GR Group Theory]
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Cure Rate Joint Model for Time-to-Event Data and Longitudinal Tumor Burden with Potential Change Points
Yixiang Qu, Ethan M. Alt, Weibin Zhong, Jeen Liu, Chenguang Wang, Joseph G. Ibrahim
https://arxiv.org/abs/2507.18773

Cure Rate Joint Model for Time-to-Event Data and Longitudinal Tumor Burden with Potential Change Points
In non-small cell lung cancer (NSCLC) clinical trials, tumor burden (TB) is a key longitudinal biomarker for assessing treatment effects. Typically, standard-of-care (SOC) therapies and some novel interventions initially decrease TB; however, many patients subsequently experience an increase-indicating disease progression-while others show a continuous decline. In patients with an eventual TB increase, the change point marks the onset of progression and must occur before the time of the event. …

Self-intersecting curves on a pair of pants and periodic orbits of Hamiltonian flows
Fernando Camacho-Cadena
https://arxiv.org/abs/2507.19191 https://arxiv…

Self-intersecting curves on a pair of pants and periodic orbits of Hamiltonian flows
The character variety $\mathscr{X}(S,G)$ associated to an oriented compact surface $S$ with boundary and a real reductive Lie group $G$ admits a Poisson structure and is foliated by symplectic leaves. When $G$ is a matrix group, any closed curve $c\inπ_1(S)$ induces a trace function $\mathsf{tr}_c\colon[ρ]\mapsto \mathsf{tr}(ρ(c))$ on $\mathscr{X}(S,G)$. In this article, we study the Hamiltonian flows of trace functions associated to self-intersecting curves. We prove that when $G=\mathsf{PS…

Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
Robert Hahn, Sebastian Sch\"ops
https://arxiv.org/abs/2507.19246

Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
While generally considered computationally expensive, Uncertainty Quantification using Monte Carlo sampling remains beneficial for applications with uncertainties of high dimension. As an extension of the naive Monte Carlo method, the Multi-Level Monte Carlo method reduces the overall computational effort, but is unable to reduce the time to solution in a sufficiently parallel computing environment. In this work, we propose a Uncertainty Quantification method combining Multi-Level Monte Carlo s…

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing
Yiming Zhang, Chengzhang Yu, Zhuokai Zhao, Kun Wang, Qiankun Li, Zihan Chen, Yang Liu, Zenghui Ding, Yining Sun
https://arxiv.org/abs/2507.19420

CircuitProbe: Dissecting Spatiotemporal Visual Semantics with Circuit Tracing
The processing mechanisms underlying language and image understanding in large vision-language models (LVLMs) have been extensively studied. However, the internal reasoning mechanisms of LVLMs for spatiotemporal understanding remain poorly understood. In this work, we introduce a systematic, circuit-based framework designed to investigate how spatiotemporal visual semantics are represented and processed within these LVLMs. Specifically, our framework comprises three circuits: visual auditing ci…

RV32I in ACL2
Carl Kwan (The University of Texas at Austin)
https://arxiv.org/abs/2507.19009 https://arxiv.org/pdf/2507.19009

RV32I in ACL2
We present a simple ACL2 simulator for the RISC-V 32-bit base instruction set architecture, written in the operational semantics style. Like many other ISA models, our RISC-V state object is a single-threaded object and we prove read-over-write, write-over-write, writing-the-read, and state well-formedness theorems. Unlike some other models, we separate the instruction decoding functions from their semantic counterparts. Accordingly, we verify encoding / decoding functions for each RV32I instru…

[2025-07-28 Mon (UTC), 1 new article found for math.CT Category Theory]
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Quantum thermal state preparation for near-term quantum processors
Jerome Lloyd, Dmitry A. Abanin
https://arxiv.org/abs/2506.21318 https://

Quantum thermal state preparation for near-term quantum processors
Preparation of quantum thermal states of many-body systems is a key computational challenge for quantum processors, with applications in physics, chemistry, and classical optimization. We provide a simple and efficient algorithm for thermal state preparation, combining engineered bath resetting and modulated system-bath coupling to derive a quantum channel approximately satisfying quantum detailed balance relations. We show that the fixed point $\hatσ$ of the channel approximates the Gibbs sta…

Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
Taewon Kang, Ji-Wook Kwon, Il Bae, Jin Hyo Kim
https://arxiv.org/abs/2507.19100 https://

Monocular Vision-Based Swarm Robot Localization Using Equilateral Triangular Formations
Localization of mobile robots is crucial for deploying robots in real-world applications such as search and rescue missions. This work aims to develop an accurate localization system applicable to swarm robots equipped only with low-cost monocular vision sensors and visual markers. The system is designed to operate in fully open spaces, without landmarks or support from positioning infrastructures. To achieve this, we propose a localization method based on equilateral triangular formations. By …

Emulating redshift-mixing due to blending in weak gravitational lensing
Zekang Zhang, Daniel Gruen, Luca Tortorelli, Shun-Sheng Li, Jamie McCullough
https://arxiv.org/abs/2507.19130

Emulating redshift-mixing due to blending in weak gravitational lensing
Galaxies whose images overlap in the focal plane of a telescope, commonly referred to as blends, are often located at different redshifts. Blending introduces a challenge to weak lensing cosmology probes, as such blends are subject to shear signals from multiple redshifts. This effect can be described by joining shear bias and redshift characterisation in the effective redshift distribution, $n_γ(z)$, which includes the response of apparent shapes of detected objects to shear of galaxies at re…

A systematic literature review to unveil users objective reaction to virtual experiences: Complemented with a conceptual model (QoUX in VE)
Alireza Mortezapour, Andrea Antonio Cantone, Monica Maria Lucia Sebillo, Giuliana Vitiello
https://arxiv.org/abs/2507.19104

A systematic literature review to unveil users objective reaction to virtual experiences: Complemented with a conceptual model (QoUX in VE)
In pursuit of documenting users Neurophysiological responses during experiencing virtual environments (VE), this systematic review presents a novel conceptual model of UX in VE. Searching across seven databases yielded to 1743 articles. Rigorous screenings, included only 66 articles. Notably, UX in VE lacks a consensus definition. Obviously, this UX has many unique sub-dimensions that are not mentioned in other products. The presented conceptual model contains 26 subdimensions which mostly not …

Exploring the Design Space of 3D MLLMs for CT Report Generation
Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang
https://arxiv.org/abs/2506.21535

Exploring the Design Space of 3D MLLMs for CT Report Generation
Multimodal Large Language Models (MLLMs) have emerged as a promising way to automate Radiology Report Generation (RRG). In this work, we systematically investigate the design space of 3D MLLMs, including visual input representation, projectors, Large Language Models (LLMs), and fine-tuning techniques for 3D CT report generation. We also introduce two knowledge-based report augmentation methods that improve performance on the GREEN score by up to 10\%, achieving the 2nd place on the MICCAI 2024 …

Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[2/2]:
- Boundary effects in classical liquid density fluctuations at finite temperature
Herondy Mota, K. E. L. de Farias

[2025-07-28 Mon (UTC), 2 new articles found for cs.MM Multimedia]
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This https://arxiv.org/abs/2502.01607 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Formation and evolution of turbulence in convectively unstable internal solitary waves of depression shoaling over gentle slopes in the South China Sea
The shoaling of high-amplitude Internal Solitary Waves (ISWs) of depression in the South China Sea (SCS) is examined through large-scale parallel turbulence-resolving high-accuracy/resolution simulations. A select, near-isobath-normal, bathymetric transect of the gentle SCS continental slope is employed together with stratification and current profiles obtained by in-situ measurements. Three simulations of separate ISWs with initial deep-water amplitudes in the range [136m, 150m] leverage a nov…

Sparse Recovery from Group Orbits
Timm Gilles, Hartmut F\"uhr
https://arxiv.org/abs/2507.19274 https://arxiv.org/pdf/2507.19274

Sparse Recovery from Group Orbits
While most existing sparse recovery results allow only minimal structure within the measurement scheme, many practical problems possess significant structure. To address this gap, we present a framework for structured measurements that are generated by random orbits of a group representation associated with a finite group. We differentiate between two scenarios: one in which the sampling set is fixed and another in which the sampling set is randomized. For each case, we derive an estimate for t…

Accelerating GNN Training through Locality-aware Dropout and Merge
Gongjian Sun, Mingyu Yan, Dengke Han, Runzhen Xue, Duo Wang, Xiaochun Ye, Dongrui Fan
https://arxiv.org/abs/2506.21414

Accelerating GNN Training through Locality-aware Dropout and Merge
Graph Neural Networks (GNNs) have demonstrated significant success in graph learning and are widely adopted across various critical domains. However, the irregular connectivity between vertices leads to inefficient neighbor aggregation, resulting in substantial irregular and coarse-grained DRAM accesses. This lack of data locality presents significant challenges for execution platforms, ultimately degrading performance. While previous accelerator designs have leveraged on-chip memory and data a…

EA-ViT: Efficient Adaptation for Elastic Vision Transformer
Chen Zhu, Wangbo Zhao, Huiwen Zhang, Samir Khaki, Yuhao Zhou, Weidong Tang, Shuo Wang, Zhihang Yuan, Yuzhang Shang, Xiaojiang Peng, Kai Wang, Dawei Yang
https://arxiv.org/abs/2507.19360

EA-ViT: Efficient Adaptation for Elastic Vision Transformer
Vision Transformers (ViTs) have emerged as a foundational model in computer vision, excelling in generalization and adaptation to downstream tasks. However, deploying ViTs to support diverse resource constraints typically requires retraining multiple, size-specific ViTs, which is both time-consuming and energy-intensive. To address this issue, we propose an efficient ViT adaptation framework that enables a single adaptation process to generate multiple models of varying sizes for deployment on …

[2025-07-28 Mon (UTC), 5 new articles found for math.GT Geometric Topology]
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TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin, Siyuan Li, Shaomin Ji, Linlin Chao, Xiaoming Zhang, Stan Z. Li
https://arxiv.org/abs/2507.19229

TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
The modeling of genomic sequences presents unique challenges due to their length and structural complexity. Traditional sequence models struggle to capture long-range dependencies and biological features inherent in DNA. In this work, we propose TrinityDNA, a novel DNA foundational model designed to address these challenges. The model integrates biologically informed components, including Groove Fusion for capturing DNA's structural features and Gated Reverse Complement (GRC) to handle the inhe…

$L^2$ Fr\"olicher inequalities
Francesco Bei, Riccardo Piovani
https://arxiv.org/abs/2507.19385 https://arxiv.org/pdf/2507.19385

$L^2$ Frölicher inequalities
We prove a Frölicher inequality between $L^2$ Betti and $L^2$ Hodge numbers on normal coverings of compact complex manifolds. This is achieved by building an injection using suitable spectral projectors associated to the self adjoint operators $(D_h)^2:=(\overline\partial+\overline\partial^*+h\partial+h\partial^*)^2$ for $h\in[0,1]$. As a by-product, we find a new proof of the classical Frölicher inequality on compact complex manifolds which does not rely at all on spectral sequences.

Meson spectroscopy of exotic symmetries of Ising criticality in Rydberg atom arrays
Joseph Vovrosh, Julius de Hond, Sergi Juli\`a-Farr\'e, Johannes Knolle, Alexandre Dauphin
https://arxiv.org/abs/2506.21299

Meson spectroscopy of exotic symmetries of Ising criticality in Rydberg atom arrays
The Ising model serves as a canonical platform for exploring emergent symmetry in quantum critical systems. The critical point of the 1D Ising chain is described by a conformal Ising field theory, which remains integrable in the presence of a magnetic perturbation leading to massive particles associated with the exceptional Lie algebra $E_8$. Coupling two Ising chains in a ladder leads to an even richer $\mathcal{D}^{(1)}_8$ symmetry. Experimental signatures of the associated particle excitatio…

[2025-07-28 Mon (UTC), 8 new articles found for astro-ph.CO Cosmology and Nongalactic Astrophysics]
toXiv_bot_toot

Exploring post-neoliberal futures for managing commercial heating and cooling through speculative praxis
Oliver Bates, Christian Remy, Kieran Cutting, Adam Tyler, Adrian Friday
https://arxiv.org/abs/2507.19072

Exploring post-neoliberal futures for managing commercial heating and cooling through speculative praxis
What could designing for carbon reduction of heating and cooling in commercial settings look like in the near future? How can we challenge dominant mindsets and paradigms of efficiency and behaviour change? How can we help build worlds through our practice that can become future realities? This paper introduces the fictional consultancy ANCSTRL.LAB to explore opportunities for making space in research projects that can encourage more systems-oriented interventions. We present a design fiction t…

Lightweight Physics-Informed Zero-Shot Ultrasound Plane Wave Denoising
Hojat Asgariandehkordi, Mostafa Sharifzadeh, Hassan Rivaz
https://arxiv.org/abs/2506.21499

Lightweight Physics-Informed Zero-Shot Ultrasound Plane Wave Denoising
Ultrasound Coherent Plane Wave Compounding (CPWC) enhances image contrast by combining echoes from multiple steered transmissions. While increasing the number of angles generally improves image quality, it drastically reduces the frame rate and can introduce blurring artifacts in fast-moving targets. Moreover, compounded images remain susceptible to noise, particularly when acquired with a limited number of transmissions. We propose a zero-shot denoising framework tailored for low-angle CPWC ac…

Replaced article(s) found for hep-th. https://arxiv.org/list/hep-th/new
[1/2]:
- Strings, Virasoro Sandwiches and Worldsheet Horizons
Arjun Bagchi, Aritra Banerjee, Ida M. Rasulian, M. M. Sheikh-Jabbari

This https://arxiv.org/abs/2407.20624 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Spatial verification of global precipitation forecasts
Verification of global high-resolution precipitation forecasts is challenging. Spatial verification techniques address some shortcomings of traditional verification. However most existing methods do not account for the non-planar geometry of a global domain, or their computational complexity is too large for global assessments. We present an adaptation of the recently developed Precipitation Attribution Distance (PAD) metric, designed for verifying precipitation, enabling its use on the Earth's…

Post-Quantum and Blockchain-Based Attestation for Trusted FPGAs in B5G Networks
Ilias Papalamprou, Nikolaos Fotos, Nikolaos Chatzivasileiadis, Anna Angelogianni, Dimosthenis Masouros, Dimitrios Soudris
https://arxiv.org/abs/2506.21073

Post-Quantum and Blockchain-Based Attestation for Trusted FPGAs in B5G Networks
The advent of 5G and beyond has brought increased performance networks, facilitating the deployment of services closer to the user. To meet performance requirements such services require specialized hardware, such as Field Programmable Gate Arrays (FPGAs). However, FPGAs are often deployed in unprotected environments, leaving the user's applications vulnerable to multiple attacks. With the rise of quantum computing, which threatens the integrity of widely-used cryptographic algorithms, the need…

On two maximally entangled couples
Felix Huber, Jens Siewert
https://arxiv.org/abs/2506.21282 https://arxiv.org/pdf/2506.21282…

On two maximally entangled couples
In a seminal article, Higuchi and Sudbery showed that a pure four-qubit state can not be maximally entangled across every bipartition. Such states are now known as absolutely maximally entangled (AME) states. Here we give a series of old and new proofs of the fact that no four-qubit AME state exists. These are based on invariant theory, methods from coding theory, and basic properties from linear algebra such as the Pauli commutation relations.

[2025-07-28 Mon (UTC), 6 new articles found for math.DG Differential Geometry]
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Limits at a Distance: Design Directions to Address Psychological Distance in Policy Decisions Affecting Planetary Boundaries
Eshta Bhardwaj, Han Qiao, Christoph Becker
https://arxiv.org/abs/2507.18913 …

Limits at a Distance: Design Directions to Address Psychological Distance in Policy Decisions Affecting Planetary Boundaries
Policy decisions relevant to the environment rely on tools like dashboards, risk models, and prediction models to provide information and data visualizations that enable decision-makers to make trade-offs. The conventional paradigm of data visualization practices for policy and decision-making is to convey data in a supposedly neutral, objective manner for rational decision-makers. Feminist critique advocates for nuanced and reflexive approaches that take into account situated decision-makers a…

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
Qifei Cui, Xinyu Lu
https://arxiv.org/abs/2506.21245 https://

GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
This work introduces a novel framework for brain tumor segmentation leveraging pre-trained GANs and Unet architectures. By combining a global anomaly detection module with a refined mask generation network, the proposed model accurately identifies tumor-sensitive regions and iteratively enhances segmentation precision using adversarial loss constraints. Multi-modal MRI data and synthetic image augmentation are employed to improve robustness and address the challenge of limited annotated dataset…

Symmetry Sectors in Chord Space and Relational Holography in the DSSYK
Sergio E. Aguilar-Gutierrez
https://arxiv.org/abs/2506.21447 https://

Symmetry Sectors in Chord Space and Relational Holography in the DSSYK
Can there be multiple bulk theories for the same boundary theory? We answer this affirmatively in the double-scaled SYK (DSSYK) model using the tools of constrained systems. We find different symmetry sectors generated by specific constraints within the chord Hilbert space of the DSSYK with matter. Each sector corresponds to a different bulk description. These include chord parity symmetry, corresponding to End-Of-The-World (ETW) branes and Euclidean wormholes in sine dilaton gravity; and relat…

[2025-06-27 Fri (UTC), 3 new articles found for cs.AR Hardware Architecture]
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Photon catalysis for general multimode multi-photon quantum state preparation
Andrei Aralov, \'Emilie Gillet, Viet Nguyen, Andrea Cosentino, Mattia Walschaers, Massimo Frigerio
https://arxiv.org/abs/2507.19397

Photon catalysis for general multimode multi-photon quantum state preparation
Multimode multiphoton states are at the center of many photonic quantum technologies, from photonic quantum computing to quantum sensing. In this work, we derive a procedure to generate exactly, and with a controlled number of steps, any such state by using only multiport interferometers, photon number resolving detectors, photon additions, and displacements. We achieve this goal by establishing a connection between photonic quantum state engineering and the algebraic problem of symmetric tenso…

[2025-05-27 Tue (UTC), 4 new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
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Rethinking Accessible Prototyping Methods for Blind and Visually Impaired Passengers in Highly Automated Vehicles
Luca-Maxim Meinhardt, Enrico Rukzio
https://arxiv.org/abs/2507.18880

Rethinking Accessible Prototyping Methods for Blind and Visually Impaired Passengers in Highly Automated Vehicles
Highly Automated Vehicles (HAVs) can improve mobility for blind and visually impaired people (BVIPs). However, designing non-visual interfaces that enable them to maintain situation awareness inside the vehicle is a challenge. This paper presents two of our participatory design workshops that explored what information BVIPs need in HAVs and what an interface that meets these needs might look like. Based on the participants' insights, we created final systems to improve their situation awareness…

Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations
Jing Yang, Qunliang Xing, Mai Xu, Minglang Qiao
https://arxiv.org/abs/2506.21171

Uncover Treasures in DCT: Advancing JPEG Quality Enhancement by Exploiting Latent Correlations
Joint Photographic Experts Group (JPEG) achieves data compression by quantizing Discrete Cosine Transform (DCT) coefficients, which inevitably introduces compression artifacts. Most existing JPEG quality enhancement methods operate in the pixel domain, suffering from the high computational costs of decoding. Consequently, direct enhancement of JPEG images in the DCT domain has gained increasing attention. However, current DCT-domain methods often exhibit limited performance. To address this cha…

Three-point functions from integrability in $\mathcal{N}=2$ orbifold theories
Dennis le Plat, Torben Skrzypek
https://arxiv.org/abs/2506.21323 https://

Three-point functions from integrability in $\mathcal{N}=2$ orbifold theories
Besides solving the spectral problem of $\mathcal{N}=4$ Super-Yang-Mills (SYM) theory, integrability also provides us with tools to compute the structure constants of the theory, most prominently through the hexagon formalism. We show that, with minor modifications, this formalism can also be applied to orbifolds of $\mathcal{N}=4$ SYM theory, which are integrable theories in their own right. To substantiate this claim, we test our results against a direct gauge-theory calculation at tree-level…

Resource-Efficient Hadamard Test Circuits for Nonlinear Dynamics on a Trapped-Ion Quantum Computer
Eleftherios Mastorakis, Muhammad Umer, Milena Guevara-Bertsch, Juris Ulmanis, Felix Rohde, Dimitris G. Angelakis
https://arxiv.org/abs/2507.19250

Resource-Efficient Hadamard Test Circuits for Nonlinear Dynamics on a Trapped-Ion Quantum Computer
Resource-efficient, low-depth implementations of quantum circuits remain a promising strategy for achieving reliable and scalable computation on quantum hardware, as they reduce gate resources and limit the accumulation of noisy operations. Here, we propose a low-depth implementation of a class of Hadamard test circuits, complemented by the development of a parameterized quantum ansatz specifically tailored for variational algorithms that exploit the underlying Hadamard test framework. Our find…

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Lillian Asiala, James E. McCarthy
https://arxiv.org/abs/2507.18878

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Sonalysts, Inc. (Sonalysts) is working on an initiative to expand our expertise in teaming to include Human-Artificial Intelligence (AI) teams. The first step of this process is to develop a Synthetic Task Environment (STE) to support our original research. Prior knowledge elicitation efforts within the Human-AI teaming research stakeholder community revealed a desire to support data collection using pre- and post-performance surveys. In this technical report, we review a number of constructs t…

RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems
Yinxiao Feng, Tiancheng Chen, Yuchen Wei, Siyuan Shen, Shiju Wang, Wei Li, Kaisheng Ma, Torsten Hoefler
https://arxiv.org/abs/2507.18889

RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems
Increasingly large AI workloads are calling for hyper-scale infrastructure; however, traditional interconnection network architecture is neither scalable nor cost-effective enough. Tree-based topologies such as the \textit{Rail-optimized} network are extremely expensive, while direct topologies such as \textit{Torus} have insufficient bisection bandwidth and flexibility. In this paper, we propose \textit{RailX}, a reconfigurable network architecture based on intra-node direct connectivity and i…

[2025-05-28 Wed (UTC), no new articles found for physics.ao-ph Atmospheric and Oceanic Physics]
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A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation
Shuwei Xing, Derek W. Cool, David Tessier, Elvis C. S. Chen, Terry M. Peters, Aaron Fenster
https://arxiv.org/abs/2506.21162

A Novel Framework for Integrating 3D Ultrasound into Percutaneous Liver Tumour Ablation
3D ultrasound (US) imaging has shown significant benefits in enhancing the outcomes of percutaneous liver tumour ablation. Its clinical integration is crucial for transitioning 3D US into the therapeutic domain. However, challenges of tumour identification in US images continue to hinder its broader adoption. In this work, we propose a novel framework for integrating 3D US into the standard ablation workflow. We present a key component, a clinically viable 2D US-CT/MRI registration approach, le…

Gravity Duality of Networks
Yu Guo, Rong-Xin Miao
https://arxiv.org/abs/2506.21305 https://arxiv.org/pdf/2506.21305

Gravity Duality of Networks
The network has been attracting increasing attention for its role in driving the artificial intelligence revolution and enabling profound insights into gravity. This paper investigates the gravity dual of the conformal field theory defined on a network (AdS/NCFT). A typical network, consisting of edges and nodes, is dual to a spacetime with branches and connecting branes, which we refer to as Net-branes. We demonstrate that the junction condition on the Net-brane results in energy conservation …

Barren-plateau free variational quantum simulation of Z2 lattice gauge theories
Fariha Azad, Matteo Inajetovic, Stefan K\"uhn, Anna Pappa
https://arxiv.org/abs/2507.19203 h…

Barren-plateau free variational quantum simulation of Z2 lattice gauge theories
In this work, we design a variational quantum eigensolver (VQE) suitable for investigating ground states and static string breaking in a $\mathbb{Z}_2$ lattice gauge theory (LGT). We consider a two-leg ladder lattice coupled to Kogut-Susskind staggered fermions and verify the results of the VQE simulations using tensor network methods. We find that for varying Hamiltonian parameter regimes and in the presence of external charges, the VQE is able to arrive at the gauge-invariant ground state wit…

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
Rizal Khoirul Anam
https://arxiv.org/abs/2507.18638 https://

Prompt Engineering and the Effectiveness of Large Language Models in Enhancing Human Productivity
The widespread adoption of large language models (LLMs) such as ChatGPT, Gemini, and DeepSeek has significantly changed how people approach tasks in education, professional work, and creative domains. This paper investigates how the structure and clarity of user prompts impact the effectiveness and productivity of LLM outputs. Using data from 243 survey respondents across various academic and occupational backgrounds, we analyze AI usage habits, prompting strategies, and user satisfaction. The …

Development of MR spectral analysis method robust against static magnetic field inhomogeneity
Shuki Maruyama, Hidenori Takeshima
https://arxiv.org/abs/2506.20897

Development of MR spectral analysis method robust against static magnetic field inhomogeneity
Purpose:To develop a method that enhances the accuracy of spectral analysis in the presence of static magnetic field B0 inhomogeneity. Methods:The authors proposed a new spectral analysis method utilizing a deep learning model trained on modeled spectra that consistently represent the spectral variations induced by B0 inhomogeneity. These modeled spectra were generated from the B0 map and metabolite ratios of the healthy human brain. The B0 map was divided into a patch size of subregions, and t…

A_infinity Action of Open N=2 Superstring Field Theory
Xianghang Zhang
https://arxiv.org/abs/2506.21247 https://arxiv.org/pdf/2506.21…

A_infinity Action of Open N=2 Superstring Field Theory
We formulate a string field theory for open N=2 strings with an A_infinity algebra structure. Starting from the BRST cohomology relative to the U(1) anti-ghost zero-mode, we generalize [arXiv:1312.2948] and constructed all interacting vertices recursively and without singularity. We also show that our string field theory reproduces the correct perturbative S-matrix.

Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
Kazuma Nagao, Sergi Juli\`a-Farr\'e, Joseph Vovrosh, Alexandre Dauphin, Seiji Yunoki
https://arxiv.org/abs/2507.19153

Pulse-based optimization of quantum many-body states with Rydberg atoms in optical tweezer arrays
We explore a pulse-based variational quantum eigensolver (VQE) algorithm for Rydberg atoms in optical tweezer arrays and evaluate its performance on prototypical quantum spin models. We numerically demonstrate that the ground states of the one-dimensional antiferromagnetic Heisenberg model and the mixed-field Ising model can be accurately prepared using an adaptive update algorithm that randomly segments pulse sequences, for systems of up to ten qubits. Furthermore, we propose and validate a hy…

More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading
Pingjing Yang, Jennifer Cromley, Jana Diesner
https://arxiv.org/abs/2507.18637 https://

More Expert-like Eye Gaze Movement Patterns are Related to Better X-ray Reading
Understanding how novices acquire and hone visual search skills is crucial for developing and optimizing training methods across domains. Network analysis methods can be used to analyze graph representations of visual expertise. This study investigates the relationship between eye-gaze movements and learning outcomes among undergraduate dentistry students who were diagnosing dental radiographs over multiple semesters. We use network analysis techniques to model eye-gaze scanpaths as directed gr…

U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
Racheal Mukisa, Arvind K. Bansal
https://arxiv.org/abs/2506.20689

U-R-VEDA: Integrating UNET, Residual Links, Edge and Dual Attention, and Vision Transformer for Accurate Semantic Segmentation of CMRs
Artificial intelligence, including deep learning models, will play a transformative role in automated medical image analysis for the diagnosis of cardiac disorders and their management. Automated accurate delineation of cardiac images is the first necessary initial step for the quantification and automated diagnosis of cardiac disorders. In this paper, we propose a deep learning based enhanced UNet model, U-R-Veda, which integrates convolution transformations, vision transformer, residual links…

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
Antonio Tudisco, Deborah Volpe, Giacomo Orlandi, Giovanna Turvani
https://arxiv.org/abs/2507.19093 ht…

Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
The growing variety of quantum hardware technologies, each with unique peculiarities such as connectivity and native gate sets, creates challenges when selecting the best platform for executing a specific quantum circuit. This selection process usually involves a brute-force approach: compiling the circuit on various devices and evaluating performance based on factors such as circuit depth and gate fidelity. However, this method is computationally expensive and does not scale well as the number…

Complexity of PXP scars revisited
Pawel Caputa, Xuhao Jiang, Sinong Liu
https://arxiv.org/abs/2506.21156 https://arxiv.org/pdf/2506.2…

Complexity of PXP scars revisited
We revisit a quantum quench scenario in which either a scarring or thermalizing initial state evolves under the PXP Hamiltonian. Within this framework, we study the time evolution of spread complexity and related quantities in the Krylov basis. We find that the Lanczos coefficients $b_n$, as functions of the iteration number $n$, exhibit a characteristic arched growth and decay, followed by erratic oscillations which we refer to as buttress. The arched profile predominantly arises from contribu…

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
Minglong Li, Lianlei Shan, Weiqiang Wang, Ke Lv, Bin Luo, Si-Bao Chen
https://arxiv.org/abs/2506.20688

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
Recently, there have been significant improvements in the accuracy of CNN models for semantic segmentation. However, these models are often heavy and suffer from low inference speed, which limits their practical application. To address this issue, knowledge distillation has emerged as a promising approach to achieve a good trade-off between segmentation accuracy and efficiency. In this paper, we propose a novel dual relation distillation (DRD) technique that transfers both spatial and channel r…

$\mathbf{O}(D,D)$-Symmetric Box Operator and $\alpha^{\prime}$-Corrections with Riemann Curvature
Kawon Lee, Jeong-Hyuck Park
https://arxiv.org/abs/2506.21143

$\mathbf{O}(D,D)$-Symmetric Box Operator and $α^{\prime}$-Corrections with Riemann Curvature
Within the framework of Double Field Theory, we construct an $\mathbf{O}(D,D)$-symmetric d'Alembertian, or box operator, that is applicable to tensors of arbitrary rank. Parameterized by the Riemannian metric and the $B$-field, the operator naturally incorporates the Riemann curvature tensor and the $H$-flux. When applied to the massless string sector, it produces a consistent stringy wave equation under an $\mathbf{O}(D,D)$-symmetric harmonic gauge condition. Furthermore, the one-loop integral…

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
Alexander Selivanov, Philip M\"uller, \"Ozg\"un Turgut, Nil Stolt-Ans\'o, Daniel R\"uckert
https://arxiv.org/abs/2506.20683

Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG
An electrocardiogram (ECG) is a widely used, cost-effective tool for detecting electrical abnormalities in the heart. However, it cannot directly measure functional parameters, such as ventricular volumes and ejection fraction, which are crucial for assessing cardiac function. Cardiac magnetic resonance (CMR) is the gold standard for these measurements, providing detailed structural and functional insights, but is expensive and less accessible. To bridge this gap, we propose PTACL (Patient and …

Ambiguities in the generation of CFJ-terms in a 5-dimensional extension of QED in one loop
H. G. Fargnoli, J. C. C. Felipe, G. Gazzola
https://arxiv.org/abs/2506.20961

Ambiguities in the generation of CFJ-terms in a 5-dimensional extension of QED in one loop
In this paper, we investigate a Lorentz symmetry breaking extension of Quantum Electrodynamics (QED), incorporating 5-dimensional CPT-odd terms at the one-loop level. Employing an independent regularization method, we systematically separate the divergences into regularization-independent contributions and regularization-dependent (surface terms). We demonstrate that these surface terms, potentially contributing to the radiative generation of Carroll-Field-Jackiw (CFJ) terms, remain undetermine…

[2025-06-27 Fri (UTC), 9 new articles found for eess.IV Image and Video Processing]
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Holography with Null Boundaries
Christian Ferko, Savdeep Sethi
https://arxiv.org/abs/2506.20765 https://arxiv.org/pdf/2506.20765

Holography with Null Boundaries
One of the key issues in holography is going beyond $\mathrm{AdS}$ and defining quantum gravity in spacetimes with a null boundary. Recent examples of this type involve linear dilaton asymptotics and are related to the $T \overline{T}$ deformation. We present a holographic correspondence derived from string theory, which is an example of a kind of celestial holography. The holographic definition is a spacetime non-commutative open string theory supported on D1-D5 branes together with fundamenta…

Nonlinear Gravitational Memory in the Post-Minkowskian Expansion
Alessandro Georgoudis, Vasco Goncalves, Carlo Heissenberg, Julio Parra-Martinez
https://arxiv.org/abs/2506.20733

Nonlinear Gravitational Memory in the Post-Minkowskian Expansion
We present the first computation of the nonlinear gravitational memory waveform for the scattering of two compact objects in General Relativity at leading order in the post-Minkowskian expansion. We use the scattering-amplitudes-based representation of the gravitational waveform, which naturally expresses the nonlinear memory as the contribution of soft gravitons emitted by the gravitational waves themselves. We perform the calculation by applying a multipolar decomposition to the waveform and …

A multi-dynamic low-rank deep image prior (ML-DIP) for real-time 3D cardiovascular MRI
Chong Chen, Marc Vornehm, Preethi Chandrasekaran, Muhammad A. Sultan, Syed M. Arshad, Yingmin Liu, Yuchi Han, Rizwan Ahmad
https://arxiv.org/abs/2507.19404

A multi-dynamic low-rank deep image prior (ML-DIP) for real-time 3D cardiovascular MRI
Purpose: To develop a reconstruction framework for 3D real-time cine cardiovascular magnetic resonance (CMR) from highly undersampled data without requiring fully sampled training data. Methods: We developed a multi-dynamic low-rank deep image prior (ML-DIP) framework that models spatial image content and temporal deformation fields using separate neural networks. These networks are optimized per scan to reconstruct the dynamic image series directly from undersampled k-space data. ML-DIP was …

Emergence of CY Triple Intersection Numbers in M-theory
Ralph Blumenhagen, Aleksandar Gligovic
https://arxiv.org/abs/2506.20725 https://

Emergence of CY Triple Intersection Numbers in M-theory
To give more credence to the M-theoretic Emergence Proposal it is important to show that also classical kinetic terms in a low energy effective action arise as a quantum effect from integrating out light towers of states. We show that for compactifications of type IIA on Calabi-Yau manifolds, the classical weak coupling Yukawa couplings, which are the triple intersection numbers of the Calabi-Yau threefold, can be obtained from the 1/2-BPS protected one-loop Schwinger integral over $D2$-$D0$ bo…

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob van der Geest, Tewodros Weldebirhan Arega, Fabric…

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge
Deep learning models have achieved state-of-the-art performance in automated Cardiac Magnetic Resonance (CMR) analysis. However, the efficacy of these models is highly dependent on the availability of high-quality, artifact-free images. In clinical practice, CMR acquisitions are frequently degraded by respiratory motion, yet the robustness of deep learning models against such artifacts remains an underexplored problem. To promote research in this domain, we organized the MICCAI CMRxMotion chall…

Hybrid thermalization in the large $N$ limit
Toshali Mitra, Sukrut Mondkar, Ayan Mukhopadhyay, Alexander Soloviev
https://arxiv.org/abs/2506.20715 https://…

Hybrid thermalization in the large $N$ limit
Semi-holography provides a formulation of dynamics in gauge theories involving both weakly self-interacting (perturbative) and strongly self-interacting (non-perturbative) degrees of freedom. These two subsectors interact via their effective metrics and sources, while the full local energy-momentum tensor is conserved in the physical background metric. In the large $N$ limit, the subsectors have their individual entropy currents, and so the full system can reach a pseudo-equilibrium state in wh…

RegScore: Scoring Systems for Regression Tasks
Michal K. Grzeszczyk, Tomasz Szczepa\'nski, Pawel Renc, Siyeop Yoon, Jerome Charton, Tomasz Trzci\'nski, Arkadiusz Sitek
https://arxiv.org/abs/2507.19155

RegScore: Scoring Systems for Regression Tasks
Scoring systems are widely adopted in medical applications for their inherent simplicity and transparency, particularly for classification tasks involving tabular data. In this work, we introduce RegScore, a novel, sparse, and interpretable scoring system specifically designed for regression tasks. Unlike conventional scoring systems constrained to integer-valued coefficients, RegScore leverages beam search and k-sparse ridge regression to relax these restrictions, thus enhancing predictive per…

Covariant phase space and $L_\infty$ algebras
Vin\'icius Bernardes, Theodore Erler, Atakan Hilmi F{\i}rat
https://arxiv.org/abs/2506.20706 https://

Covariant phase space and $L_\infty$ algebras
We propose a symplectic structure for the phase space of a generic Lagrangian field theory expressed in the framework of $L_\infty$ algebras. The symplectic structure does not require explicit knowledge of the derivative content of the Lagrangian, and therefore is applicable to nonlocal models, such as string field theory, where traditional constructions are difficult to apply. We test our proposal in a number of examples ranging from general relativity to $p$-adic string theory.

[2025-07-28 Mon (UTC), 7 new articles found for eess.IV Image and Video Processing]
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[2025-06-27 Fri (UTC), 13 new articles found for hep-th High Energy Physics - Theory]
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