Tootfinder

Ukraine hits Russian electronic warfare facility making Shahed, Iskander components, General Staff says: https://benborges.xyz/2025/07/05/ukraine-hits-russian-electronic-warfare.html

Irreducible components of Toric Complete Intersections
Andrey Zhizhin
https://arxiv.org/abs/2508.00745 https://arxiv.org/pdf/2508.00745

Irreducible components of Toric Complete Intersections
An equivariant linear system on a toric variety is a linear system invariant under the torus action. We study the number of irreducible components of the complete intersection of general divisors from a fixed collection of equivariant linear system on a toric variety $X$. An explicit formula for the number of components was obtained by Khovanskii in 2016 for the case $X = T^n$ over $\mathbb C$ and generalized to an algebraically closed field of arbitrary characteristic the author in 2024. Build…

@… Makes sense, I just never found much value in testing components in isolation. Possibly because I have strong opinions around letting components do _anything_ on their own.

Loser: U.S. factories
When Democrats in 2022 created and expanded a slew of federal tax breaks for electric vehicles, solar panels, wind turbines, batteries,
they designed them to encourage companies to use components made in the United States.
That spurred a manufacturing boom, including solar-panel glass recyclers in Georgia and electric-vehicle assembly lines in Kentucky.
The new law could derail many of those factories.
The old tax credit for solar power, for…

How the G.O.P. Bill Will Reshape America’s Energy Landscape
Here’s a rundown on the winners and losers in the legislation muscled through Congress.

Weekend Reads
* A new RPKI design https://arxiv.org/abs/2507.01465
* Finding New IP KVMs https://www.runzero.com/blog/oob-p1-ip-kvm/

A new efficient RPKI Design
Resource Public Key Infrastructure (RPKI) is a critical security mechanism for BGP, but the complexity of its architecture is a growing concern as its adoption scales. Current RPKI design heavily reuses legacy PKI components, such as X.509 EE-certificates, ASN.1 encoding, and XML-based repository protocols, all these introduce excessive cryptographic validation, redundant metadata, and inefficiencies in both storage and processing. We show that these design choices, although based on establishe…

New components of Hilbert schemes of points and 2-step ideals
Franco Giovenzana, Luca Giovenzana, Michele Graffeo, Paolo Lella
https://arxiv.org/abs/2507.02789

New components of Hilbert schemes of points and 2-step ideals
This paper presents new examples of elementary and non-elementary irreducible components of the Hilbert scheme of points and its nested variants. The results are achieved via a careful analysis of the deformations of a class of finite colength ideals that are introduced in this paper and referred to as 2-step ideals. The most notable reducibility results pertain to the 4-nested Hilbert scheme of points on a smooth surface, the reducibility of $\text{Hilb}^{3,7}\mathbb{A}^4$, and a method to det…

This https://arxiv.org/abs/2411.10121 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when the overall hypothesis is rejected, identifying specific vector components or determining the groups among which differences exist requires additional investigations. Conversely, employing multiple contrast tests (MCT) allows conclusions about which components or groups contribute to these differences. However, they …

Light hadronic decays of spin-0 partner of $X(3872)$
Hong-Shuo Gao, Zu-Xin Cai, Gang Li, Shi-Dong Liu
https://arxiv.org/abs/2508.01536 https://arxiv.org/pd…

Light hadronic decays of spin-0 partner of $X(3872)$
The $X(3872)$ is theoretically predicted to have a spin-0 partner state denoted as $X_0$. Assuming the $X_0$ as a $D\bar{D}$ molecular bound state, we calculate the decay widths of $X_0\to VV$ and $X_0 \to PP$ ($V$ and $P$ stand for light vector and pseudoscalar mesons, respectively) via intermediate charmed meson loops. Three different configurations of the $X_0$, i.e., pure neutral components ($θ= 0$), isospin singlet ($θ= π/4$) and pure charged components ($θ= π/2$), are investigated. W…

🔄 Enhanced loading states with automatic data-loading attributes
🎭 Long-awaited slots feature for better component composition
⚡ Blaze compiler delivers 10x performance improvement through code folding
🏝️ Islands architecture enables surgical component isolation and lazy loading
https://

This https://arxiv.org/abs/2506.00433 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Latent Wavelet Diffusion: Enabling 4K Image Synthesis for Free
High-resolution image synthesis remains a core challenge in generative modeling, particularly in balancing computational efficiency with the preservation of fine-grained visual detail. We present Latent Wavelet Diffusion (LWD), a lightweight framework that enables any latent diffusion model to scale to ultra-high-resolution image generation (2K to 4K) for free. LWD introduces three key components: (1) a scale-consistent variational autoencoder objective that enhances the spectral fidelity of la…

This https://arxiv.org/abs/2506.01056 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MCP-Zero: Proactive Toolchain Construction for LLM Agents from Scratch
Function-calling has enabled large language models (LLMs) to act as tool-using agents, but injecting thousands of tool schemas into the prompt is costly and error-prone. We introduce MCP-Zero, a proactive agent framework that lets the LLM itself decide when and which external tools to retrieve, thereby assembling a task-specific toolchain from scratch. The framework is built upon three components: (1) Proactive Tool Request, where the model emits a structured $\left<\operatorname{tool\_assistan…

This https://arxiv.org/abs/2505.13182 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

Information Science Principles of Machine Learning: A Causal Chain Meta-Framework Based on Formalized Information Mapping
[Objective] This study focuses on addressing the current lack of a unified formal theoretical framework in machine learning, as well as the deficiencies in interpretability and ethical safety assurance. [Methods] A formal information model is first constructed, utilizing sets of well-formed formulas to explicitly define the ontological states and carrier mappings of typical components in machine learning. Learnable and processable predicates, along with learning and processing functions, are in…

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

Improving LLM-Based Fault Localization with External Memory and Project Context
Inseok Yeo, Duksan Ryu, Jongmoon Baik
https://arxiv.org/abs/2506.03585 http…

Improving LLM-Based Fault Localization with External Memory and Project Context
Fault localization, the process of identifying the software components responsible for failures, is essential but often time-consuming. Recent advances in Large Language Models (LLMs) have enabled fault localization without extensive defect datasets or model fine-tuning. However, existing LLM-based methods rely only on general LLM capabilities and lack integration of project-specific knowledge, resulting in limited effectiveness, especially for complex software. We introduce MemFL, a novel ap…

Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic
Stefan Orf, Sven Ochs, Marc Ren\'e Zofka, J. Marius Z\"ollner
https://arxiv.org/abs/2506.02932

Online Performance Assessment of Multi-Source-Localization for Autonomous Driving Systems Using Subjective Logic
Autonomous driving (AD) relies heavily on high precision localization as a crucial part of all driving related software components. The precise positioning is necessary for the utilization of high-definition maps, prediction of other road participants and the controlling of the vehicle itself. Due to this reason, the localization is absolutely safety relevant. Typical errors of the localization systems, which are long term drifts, jumps and false localization, that must be detected to enhance s…

US did not halt weapons shipments to Ukraine, Meloni says: https://benborges.xyz/2025/07/04/us-did-not-halt-weapons.html

This https://arxiv.org/abs/2503.04091 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Generalization in Federated Learning: A Conditional Mutual Information Framework
Federated learning (FL) is a widely adopted privacy-preserving distributed learning framework, yet its generalization performance remains less explored compared to centralized learning. In FL, the generalization error consists of two components: the out-of-sample gap, which measures the gap between the empirical and true risk for participating clients, and the participation gap, which quantifies the risk difference between participating and non-participating clients. In this work, we apply an i…

This https://arxiv.org/abs/2505.00849 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

TherMod Communication: Low Power or Hot Air?
The Kirchhoff-Law-Johnson-Noise (KLJN) secure key exchange scheme leverages statistical physics to enable secure communication with zero average power flow in a wired channel. While the original KLJN scheme requires significant power for operation, a recent wireless modification, TherMod, proposed by Basar claims a "low power" implementation. This paper critically examines this claim. We explain that the additional components inherent in Basar's wireless adaptation substantially increase power …

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
Idriss Djiofack Teledjieu, Irzum Shafique
https://arxiv.org/abs/2506.01971 https://…

CityPulse: Real-Time Traffic Data Analytics and Congestion Prediction
CityPulse is a proof-of-concept big data pipeline designed to enable real-time urban mobility analytics using scalable, containerized components -- without reliance on physical sensor infrastructure. The system simulates the ingestion of 11 million traffic-related records representing urban phenomena such as vehicle congestion, GPS coordinates, and weather conditions. Data is ingested through a Dockerized Apache Kafka cluster, coordinated by ZooKeeper, and processed in real time using Apache Sp…

Improving Regulatory Oversight in Online Content Moderation
Benedetta Tessa, Denise Amram, Anna Monreale, Stefano Cresci
https://arxiv.org/abs/2506.04145 h…

Improving Regulatory Oversight in Online Content Moderation
The European Union introduced the Digital Services Act (DSA) to address the risks associated with digital platforms and promote a safer online environment. However, despite the potential of components such as the Transparency Database, Transparency Reports, and Article 40 of the DSA to improve platform transparency, significant challenges remain. These include data inconsistencies and a lack of detailed information, which hinder transparency in content moderation practices. Additionally, the ab…

This https://arxiv.org/abs/2504.13865 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

A Survey on (M)LLM-Based GUI Agents
Graphical User Interface (GUI) Agents have emerged as a transformative paradigm in human-computer interaction, evolving from rule-based automation scripts to sophisticated AI-driven systems capable of understanding and executing complex interface operations. This survey provides a comprehensive examination of the rapidly advancing field of LLM-based GUI Agents, systematically analyzing their architectural foundations, technical components, and evaluation methodologies. We identify and analyze f…

Finished initial rough floorplanning of the switch engine board. Definitely not final but I have the major subsystems spread out vaguely near where they're going to go.
The power inlet jack has to move since it's an in-chassis connection.

@… Do you think this is an issue? I have no idea how people test React components at all nowadays.
Personally I prefer to write browser tests with a fake backend implementation (running in the client; no HTTP calls), but this might be controversial.

chipfiring: A Python Package for Efficient Mathematical Analysis of Chip-Firing Games on Multigraphs
Dhyey Dharmendrakumar Mavani (Departments of Mathematics, Statistics, and Computer Science, Amherst College, Amherst, MA, United States), Tairan Ji (Department of Computer Science, Amherst College, Amherst, MA, United States), Nathan Pflueger (Department of Mathematics, Amherst College, Amherst, MA, United States)

chipfiring: A Python Package for Efficient Mathematical Analysis of Chip-Firing Games on Multigraphs
This paper presents `chipfiring`, a comprehensive Python package for the mathematical analysis of chip-firing games on finite graphs. The package provides a robust toolkit for defining graphs and chip configurations (divisors), performing chip-firing operations, and analyzing fundamental properties such as winnability, linear equivalence, and divisor rank. We detail the core components of the library, including its object-oriented graph and divisor implementations, integrated Laplacian matrix c…

Fractional Operators for Nonlinear Electrical Circuits
Ioannis Dassios
https://arxiv.org/abs/2507.02220 https://arxiv.org/pdf/2507.02…

Fractional Operators for Nonlinear Electrical Circuits
This article introduces two new fractional operators with sine ($\sin$) and cosine ($\cos$) kernels, motivated by their fundamental role in modeling AC signals in electrical circuits. The operators are designed to improve the analysis of nonlinear components such as the memristor by transforming certain nonlinear equations into simpler linear forms, particularly in systems with memory effects.

This https://arxiv.org/abs/2503.19322 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A 1.48-2.48 $\mathrmμ$m R=28000 spectroscopic atlas of the L7.5 and T0.5 components of the nearest pair of brown dwarfs: Luhman 16AB
We present a high signal-to-noise (SNR $\sim$ 450), high-dispersion ($R \equiv λ/ Δλ\sim 28\,000$) H- and K-band spectroscopic atlas of the L7.5 and T0.5 components of the Luhman 16AB binary (WISE J104915.57$-$531906.1AB): the closest pair of brown dwarfs, and one of the best substellar benchmarks. The spectra were combined from a 70-day spectroscopic monitoring campaign of the binary with IGRINS on Gemini South. We fit model photospheres to the combined high-quality spectra to estimate atmo…

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models
Chenhao Xue, Kezhi Li, Jiaxing Zhang, Yi Ren, Zhengyuan Shi, Chen Zhang, Yibo Lin, Lining Zhang, Qiang Xu, Guangyu Sun
https://arxiv.org/abs/2507.02598

AC-Refiner: Efficient Arithmetic Circuit Optimization Using Conditional Diffusion Models
Arithmetic circuits, such as adders and multipliers, are fundamental components of digital systems, directly impacting the performance, power efficiency, and area footprint. However, optimizing these circuits remains challenging due to the vast design space and complex physical constraints. While recent deep learning-based approaches have shown promise, they struggle to consistently explore high-potential design variants, limiting their optimization efficiency. To address this challenge, we pro…

Localized kernel method for separation of linear chirps
Eric Mason, Sippanon Kitimoon, Hrushikesh Mhaskar
https://arxiv.org/abs/2507.02262 https://

Localized kernel method for separation of linear chirps
The task of separating a superposition of signals into its individual components is a common challenge encountered in various signal processing applications, especially in domains such as audio and radar signals. A previous paper by Chui and Mhaskar proposes a method called Signal Separation Operator (SSO) to find the instantaneous frequencies and amplitudes of such superpositions where both of these change continuously and slowly over time. In this paper, we amplify and modify this method in o…

Data Center Appliance: »A data center appliance is a ready-to-use device that integrates key software and hardware components to execute a specific IT function. It is a functional unit comprised of hardware and software designed for a specific, often narrowly defined, purpose.« 🤡🤯 #buzzworddetective

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
https://arxiv.org/abs/2506.02368

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
Personalizing large language models (LLMs) for individual users has become increasingly important as they are progressively integrated into real-world applications to support users' daily lives. However, existing personalization approaches often fail to distinguish which components of model predictions and training data truly reflect user preferences, leading to superficial personalization alignment. In this paper, we introduce NextQuill, a novel LLM personalization alignment framework grounded…

This https://arxiv.org/abs/2505.23993 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Cellular Sheaves on Higher-Dimensional Structures
Defining cellular sheaves beyond graph structures, such as on simplicial complexes containing higher-dimensional simplices, is an essential and intriguing topic in topological data analysis (TDA) and the development of sheaf neural networks. In this paper, we explore methods for constructing non-trivial cellular sheaves on spaces that include structures of dimension greater than one. This extends the focus from 0- or 1-dimensional components, such as vertices and edges, to elements like triangl…

On the fracture mechanics validity of small scale tests
C. Cui, L. Cupertino-Malheiros, Z. Xiong, E. Mart\'inez-Pa\~neda
https://arxiv.org/abs/2506.02538

On the fracture mechanics validity of small scale tests
There is growing interest in conducting small-scale tests to gain additional insight into the fracture behaviour of components across a wide range of materials. For example, micro-scale mechanical tests inside of a microscope (\emph{in situ}) enable direct, high-resolution observation of the interplay between crack growth and microstructural phenomena (e.g., dislocation behaviour or the fracture resistance of a particular interface), and sub-size samples are increasingly used when only a limite…

Anomalous free energy expansions of planar Coulomb gases: multi-component and conformal singularity
Sung-Soo Byun
https://arxiv.org/abs/2508.00316 https://…

Anomalous free energy expansions of planar Coulomb gases: multi-component and conformal singularity
We study the partition function $$ Z_n = \int_{\mathbb{C}^n } \prod_{1 \le j-1$ and $$ V(z)= |z|^{2d}-t(z^{d}+\overline{z}^{d}), \qquad t >0, \, d \in \mathbb{N}. $$ The associated droplet reveals a topological phase transition: for $t > 1/\sqrt{d}$, it consists of $d$ connected components; whereas for $t < 1/\sqrt{d}$, it becomes simply connected and contains t…

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
Mengzhao Wang, Boyu Tan, Yunjun Gao, Hai Jin, Yingfeng Zhang, Xiangyu Ke, Xiaoliang Xu, Yifan Zhu
https://arxiv.org/abs/2508.01405

Balancing the Blend: An Experimental Analysis of Trade-offs in Hybrid Search
Hybrid search, the integration of lexical and semantic retrieval, has become a cornerstone of modern information retrieval systems, driven by demanding applications like Retrieval-Augmented Generation (RAG). The architectural design space for these systems is vast and complex, yet a systematic, empirical understanding of the trade-offs among their core components--retrieval paradigms, combination schemes, and re-ranking methods--is critically lacking. To address this, and informed by our experi…

Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology
Yu Chen, Hongwei Lin
https://arxiv.org/abs/2508.00251 https://

Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology
Reconstructing models from unorganized point clouds presents a significant challenge, especially when the models consist of multiple components represented by their surface point clouds. Such models often involve point clouds with noise that represent multiple closed surfaces with shared regions, making their automatic identification and separation inherently complex. In this paper, we propose an automatic method that uses the topological understanding provided by persistent homology, along wit…

Learned LSM-trees: Two Approaches Using Learned Bloom Filters
Nicholas Fidalgo, Puyuan Ye
https://arxiv.org/abs/2508.00882 https://arxiv.org/pdf/2508.00882…

Learned LSM-trees: Two Approaches Using Learned Bloom Filters
Modern key-value stores rely heavily on Log-Structured Merge (LSM) trees for write optimization, but this design introduces significant read amplification. Auxiliary structures like Bloom filters help, but impose memory costs that scale with tree depth and dataset size. Recent advances in learned data structures suggest that machine learning models can augment or replace these components, trading handcrafted heuristics for data-adaptive behavior. In this work, we explore two approaches for inte…

This https://arxiv.org/abs/2502.07975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csGT_…

Sink equilibria and the attractors of learning in games
Characterizing the limit behavior -- that is, the attractors -- of learning dynamics is one of the most fundamental open questions in game theory. In recent work in this front, it was conjectured that the attractors of the replicator dynamic are in one-to-one correspondence with the sink equilibria of the game -- the sink strongly connected components of a game's preference graph -- , and it was established that they do stand in at least one-to-many correspondence with them. We make threefold p…

Minimal Neuron Circuits -- Part I: Resonators
Amr Nabil, T. Nandha Kumar, Haider Abbas F. Almurib
https://arxiv.org/abs/2506.02341 https://

Minimal Neuron Circuits -- Part I: Resonators
Spiking Neural Networks have earned increased recognition in recent years owing to their biological plausibility and event-driven computation. Spiking neurons are the fundamental building components of Spiking Neural Networks. Those neurons act as computational units that determine the decision to fire an action potential. This work presents a methodology to implement biologically plausible yet scalable spiking neurons in hardware. We show that it is more efficient to design neurons that mimic …

Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm
Zhaoyang Li, Jie Wang, XiaoXiao Li, Wangjie Li, Longjie Luo, Lin Li, Qingyang Hong
https://arxiv.org/abs/2506.02610

Speaker Diarization with Overlapping Community Detection Using Graph Attention Networks and Label Propagation Algorithm
In speaker diarization, traditional clustering-based methods remain widely used in real-world applications. However, these methods struggle with the complex distribution of speaker embeddings and overlapping speech segments. To address these limitations, we propose an Overlapping Community Detection method based on Graph Attention networks and the Label Propagation Algorithm (OCDGALP). The proposed framework comprises two key components: (1) a graph attention network that refines speaker embedd…

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency
Zongpu Zhang, Pranab Dash, Y. Charlie Hu, Qiang Xu, Jian Li, Haibing Guan
https://arxiv.org/abs/2507.02135

Dissecting the Impact of Mobile DVFS Governors on LLM Inference Performance and Energy Efficiency
Large Language Models (LLMs) are increasingly being integrated into various applications and services running on billions of mobile devices. However, deploying LLMs on resource-limited mobile devices faces a significant challenge due to their high demand for computation, memory, and ultimately energy. While current LLM frameworks for mobile use three power-hungry components-CPU, GPU, and Memory-even when running primarily-GPU LLM models, optimized DVFS governors for CPU, GPU, and memory feature…

Post-glitch Recovery and the Neutron Star Structure: The Vela Pulsar
Himanshu Grover, Erbil G\"ugercino\u{g}lu, Bhal Chandra Joshi, M. A. Krishnakumar, Shantanu Desai, P. Arumugam, Debades Bandyopadhyay
https://arxiv.org/abs/2506.02100

Post-glitch Recovery and the Neutron Star Structure: The Vela Pulsar
Pulsar glitches, sudden changes in a neutron star's rotation, offer a unique window into the extreme physics governing these celestial bodies. The post-glitch recovery phase, characterized by a gradual recovery, reveals insights into the superfluid dynamics within the star. The post-glitch recovery phase probes the coupling mechanisms between different stellar components, sheds light on the properties of neutron star matter at supra-nuclear densities and even allows us to predict the time to th…

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones
Daking Rai, Samuel Miller, Kevin Moran, Ziyu Yao
https://arxiv.org/abs/2507.00322

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones
Despite remarkable advances in coding capabilities, language models (LMs) still struggle with simple syntactic tasks such as generating balanced parentheses. In this study, we investigate the underlying mechanisms behind the persistence of these errors across LMs of varying sizes (124M-7B) to both understand and mitigate the errors. Our study reveals that LMs rely on a number of components (attention heads and FF neurons) that independently make their own predictions. While some components reli…

A graph neural network based on feature network for identifying influential nodes
Yanmei Hu, Siyuan Yin, Yihang Wu, Xue Yue, Yue Liu
https://arxiv.org/abs/2508.01278 https://

A graph neural network based on feature network for identifying influential nodes
Identifying influential nodes in complex networks is of great importance, and has many applications in practice. For example, finding influential nodes in e-commerce network can provide merchants with customers with strong purchase intent; identifying influential nodes in computer information system can help locating the components that cause the system break down and identifying influential nodes in these networks can accelerate the flow of information in networks. Thus, a lot of efforts have …

Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations
Junyi Qi, Thorkil Casse, Masayoshi Harada, Linh Thi Hoai Nguyen, Ton Viet Ta
https://arxiv.org/abs/2508.00953

Quantifying Fish School Fragmentation under Predation Using Stochastic Differential Equations
This study builds upon our previously proposed stochastic differential equation (SDE)-based model to further investigate fish school fragmentation under predation. Specifically, we explore structural dynamics by incorporating graph-theoretic metrics--namely, the number of connected components--to quantify changes in prey school organization. Two quantitative indicators, first split time and final component count, are introduced to assess the timing and extent of group disintegration. Sensitivit…

This https://arxiv.org/abs/2412.05402 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Numerical schemes for a fully nonlinear coagulation-fragmentation model coming from wave kinetic theory
This article introduces a novel numerical approach, based on Finite Volume Techniques, for studying fully nonlinear coagulation-fragmentation models, where both the coagulation and fragmentation components of the collision operator are nonlinear. The models come from $3-$wave kinetic equations, a pivotal framework in wave turbulence theory. Despite the importance of wave turbulence theory in physics and mechanics, there have been very few numerical schemes for $3-$wave kinetic equations, in whi…

Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Qi Xin, Robert E. Kass
https://arxiv.org/abs/2506.02263

Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Advances in large-scale recording technologies now enable simultaneous measurements from multiple brain areas, offering new opportunities to study signal transmission across interacting components of neural circuits. However, neural responses exhibit substantial trial-to-trial variability, often driven by unobserved factors such as subtle changes in animal behavior or internal states. To prevent evolving background dynamics from contaminating identification of functional coupling, we developed …

Tensor Renormalization Group Meets Computer Assistance
Nikolay Ebel, Tom Kennedy, Slava Rychkov
https://arxiv.org/abs/2506.03247 https://

Tensor Renormalization Group Meets Computer Assistance
Tensor renormalization group, originally devised as a numerical technique, is emerging as a rigorous analytical framework for studying lattice models in statistical physics. Here we introduce a new renormalization map - the 2x1 map - which coarse-grains the lattice anisotropically by a factor of two in one direction followed by a 90-degree rotation. We develop a novel graphical language that translates the action of the 2x1 map into a system of inequalities on tensor components, with rigorous e…

This https://arxiv.org/abs/1801.05510 has been replaced.
link: https://scholar.google.com/scholar?q=a

Jones Index Theorem revisited
We prove the Jones Index Theorem using the K-theory of a cluster $C^*$-algebra of the Riemann sphere with two boundary components.

Ammonia in the hot core W51-IRS2: Maser line profiles, variability, and saturation
E. Alkhuja, C. Henkel, Y. T. Yan, B. Winkel, Y. Gong, G. Wu, T. L. Wilson, A. Wootten, A. Malawi
https://arxiv.org/abs/2507.02214

Ammonia in the hot core W51-IRS2: Maser line profiles, variability, and saturation
W51-IRS2 is known to be one of the most prolific sources of interstellar ammonia (NH$_3$) maser lines. So far, however, many of these inversion lines have rarely been studied. Here we report spectrally resolved line profiles for the majority of detected features and provide information on the variability of these maser components between 2012 and 2023. This includes the first tentative detection of a ($J$,$K$) = (5,2) maser in the interstellar medium and the first tentative detection of a (6,4)…

This https://arxiv.org/abs/2405.11676 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

The High-Dimensional Asymptotics of Principal Component Regression
We study principal components regression (PCR) in an asymptotic high-dimensional regression setting, where the number of data points is proportional to the dimension. We derive exact limiting formulas for the estimation and prediction risks, which depend in a complicated manner on the eigenvalues of the population covariance, the alignment between the population PCs and the true signal, and the number of selected PCs. A key challenge in the high-dimensional setting stems from the fact that the …

Connected components in d-minimal structures
Masato Fujita
https://arxiv.org/abs/2506.21846 https://arxiv.org/pdf/2506.21846

Connected components in d-minimal structures
For a given d-minimal expansion $\mathfrak R$ of the ordered real field, we consider the expansion $\mathfrak R^\natural$ of $\mathfrak R$ generated by the sets of the form $\bigcup_{S \in \mathcal C}S$, where $\mathcal C$ is a subfamily of the collection of connected components of an $\mathfrak R$-definable set. We prove that $\mathfrak R^{\natural}$ is d-minimal. A similar assertion holds for almost o-minimal expansions of ordered groups.

This https://arxiv.org/abs/2505.22415 has been replaced.
initial toot: https://mastoxiv.page/@arX…

ABEL: The Adaptable Beginning-to-End Linac simulation framework
We introduce ABEL, the Adaptable Beginning-to-End Linac simulation framework developed for agile design studies of plasma-based accelerators and colliders. ABEL's modular architecture allows users to simulate particle acceleration across various beamline components. The framework supports specialised codes such as HiPACE++, Wake-T, ELEGANT, GUINEA-PIG, CLICopti and ImpactX, which facilitate precise modelling of complex machine components. Key features include simplified models for addressing tr…

Iran Likely to Have Moved Nuclear Components Ahead of Fordow Attack: Iranian Nuclear Scientist (Drop Site News)
https://www.dropsitenews.com/p/iran-nuclear-program-united-states-attacks-israel
http://www.memeorandum.com/250701/p154#a250701p154

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
Junyu Liu, R. Kenny Jones, Daniel Ritchie
https://arxiv.org/abs/2506.03004

PartComposer: Learning and Composing Part-Level Concepts from Single-Image Examples
We present PartComposer: a framework for part-level concept learning from single-image examples that enables text-to-image diffusion models to compose novel objects from meaningful components. Existing methods either struggle with effectively learning fine-grained concepts or require a large dataset as input. We propose a dynamic data synthesis pipeline generating diverse part compositions to address one-shot data scarcity. Most importantly, we propose to maximize the mutual information between…

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
Adam Kostka, Jaros{\l}aw A. Chudziak
https://arxiv.org/abs/2507.02170

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System
This paper explores the integration of advanced Multi-Agent Systems (MAS) techniques to develop a team of agents with enhanced logical reasoning, long-term knowledge retention, and Theory of Mind (ToM) capabilities. By uniting these core components with optimized communication protocols, we create a novel framework called SynergyMAS, which fosters collaborative teamwork and superior problem-solving skills. The system's effectiveness is demonstrated through a product development team case study,…

A scalable and programmable optical neural network in a time-synthetic dimension
Bei Wu, Yudong Ren, Rui Zhao, Haiyao Luo, Fujia Chen, Li Zhang, Hongsheng Chen, Yihao Yang
https://arxiv.org/abs/2507.02297

A scalable and programmable optical neural network in a time-synthetic dimension
Programmable optical neural networks (ONNs) can offer high-throughput and energy-efficient solutions for accelerating artificial intelligence (AI) computing. However, existing ONN architectures, typically based on cascaded unitary transformations such as Mach-Zehnder interferometer meshes, face inherent scalability limitations due to spatial encoding, which causes optical components and system complexity to scale quadratically with network size. A promising solution to this challenge is the use…

Restricted Quasiconvexity Isometry Property for Symmetric $\alpha$-Stable Random Matrices
Sunder Ram Krishnan
https://arxiv.org/abs/2507.02649 https://

Restricted Quasiconvexity Isometry Property for Symmetric $α$-Stable Random Matrices
We formulate a generalization of the Restricted Isometry Property (RIP) referred to as the Restricted Quasiconvexity Isometry Property (RQIP) for alpha stable random projections with $0<α<1$. A lower bound on the number of rows for RQIP to hold for random matrices whose entries are drawn from a symmetric $α$-stable ($SαS$) distribution is derived. The proof leverages two key components: a concentration inequality for empirical fractional moments of $SαS$ variables and a covering number boun…

Quantum Geometry Phenomena in Condensed Matter Systems
Anyuan Gao, Naoto Nagaosa, Ni Ni, Su-Yang Xu
https://arxiv.org/abs/2508.00469 https://arxiv.org/pdf/…

Quantum Geometry Phenomena in Condensed Matter Systems
Quantum geometry, which describes the geometry of Bloch wavefunctions in solids, has become a cornerstone of modern quantum condensed matter physics. The quantum geometrical tensor encodes this geometry through two fundamental components: the quantum metric (real part) and the Berry curvature (imaginary part). While the Berry curvature gained prominence through its manifestation in the intrinsic anomalous Hall effect, recent advances have revealed equally significant effects arising from the qu…

Reimagining Voltage-Controlled Cryogenic Boolean Logic Paradigm with Quantum-Enhanced Josephson Junction FETs
Md Mazharul Islam, Diego Ferrer, Shamiul Alam, Juan P. Mendez, Denis Mamaluy, Wei Pan, Ahmedullah Aziz
https://arxiv.org/abs/2508.00295

Reimagining Voltage-Controlled Cryogenic Boolean Logic Paradigm with Quantum-Enhanced Josephson Junction FETs
The growing demand for ultra low power computing and the emergence of quantum technologies have intensified interest in cryogenic electronics, particularly superconducting devices.Despite their promise, current controlled superconducting components face fundamental challenges in cascadability, limiting their effectiveness in complex logic architectures.To overcome this, recent efforts have focused on developing gate tunable superconducting devices, such as Josephson Junction Field Effect Transi…

Semantics-Guided Generative Image Compression
Cheng-Lin Wu, Hyomin Choi, Ivan V. Baji\'c
https://arxiv.org/abs/2505.24015 https://

Semantics-Guided Generative Image Compression
Advancements in text-to-image generative AI with large multimodal models are spreading into the field of image compression, creating high-quality representation of images at extremely low bit rates. This work introduces novel components to the existing multimodal image semantic compression (MISC) approach, enhancing the quality of the generated images in terms of PSNR and perceptual metrics. The new components include semantic segmentation guidance for the generative decoder, as well as content…

@… That’s very nice!
It will clearly work for the domain model, but can you use it effectively with e.g. a React application to test the UI components?

Quasioptic, Calibrated, Full 2-port Measurements of Cryogenic Devices under Vacuum in the 220-330 GHz Band
Maxim Masyukov, Aleksi Tamminen, Irina Nefedova, Andrey Generalov, Samu-Ville P\"alli, Roman Grigorev, Pouyan Rezapoor, Rui Silva, Juha Mallat, Juha Ala-Laurinaho, Zachary Taylor
https://arxiv.org/abs/2506.03824…

Quasioptic, Calibrated, Full 2-port Measurements of Cryogenic Devices under Vacuum in the 220-330 GHz Band
A quasi-optical (QO) test bench was designed, simulated, and calibrated for characterizing S-parameters of devices in the 220-330 GHz (WR-3.4) frequency range, from room temperature down to 4.8 K. The devices were measured through vacuum windows via focused beam radiation. A de-embedding method employing line-reflect-match (LRM) calibration was established to account for the effects of optical components and vacuum windows. The setup provides all four S-parameters with the reference plane locat…

Learning thermodynamic master equations for open quantum systems
Peter Sentz, Stanley Nicholson, Yujin Cho, Sohail Reddy, Brendan Keith, Stefanie G\"unther
https://arxiv.org/abs/2506.01882

Learning thermodynamic master equations for open quantum systems
The characterization of Hamiltonians and other components of open quantum dynamical systems plays a crucial role in quantum computing and other applications. Scientific machine learning techniques have been applied to this problem in a variety of ways, including by modeling with deep neural networks. However, the majority of mathematical models describing open quantum systems are linear, and the natural nonlinearities in learnable models have not been incorporated using physical principles. We …

Confidence-driven Gradient Modulation for Multimodal Human Activity Recognition: A Dynamic Contrastive Dual-Path Learning Approach
Panpan Ji, Junni Song, Hang Xiao, Hanyu Liu, Chao Li
https://arxiv.org/abs/2507.02826

Confidence-driven Gradient Modulation for Multimodal Human Activity Recognition: A Dynamic Contrastive Dual-Path Learning Approach
Sensor-based Human Activity Recognition (HAR) is a core technology that enables intelligent systems to perceive and interact with their environment. However, multimodal HAR systems still encounter key challenges, such as difficulties in cross-modal feature alignment and imbalanced modality contributions. To address these issues, we propose a novel framework called the Dynamic Contrastive Dual-Path Network (DCDP-HAR). The framework comprises three key components. First, a dual-path feature extra…

An open-source finite element toolbox for anisotropic creep and irradiation growth: Application to tube and spacer grid assembly
Fabrizio E. Aguzzi, Santiago M. Rabazzi, Mart\'in S. Armoa, C\'esar I. Pairetti, Alejandro E. Albanesi
https://arxiv.org/abs/2506.02807

An open-source finite element toolbox for anisotropic creep and irradiation growth: Application to tube and spacer grid assembly
This work presents an open-source interface that couples the viscoplastic self-consistent (VPSC) model capable of simulating anisotropic creep and irradiation growth in polycrystalline materials with the finite element solver Code_Aster. The interface enables the simulation of the micromechanical response of irradiated zirconium alloy components by integrating grain-level constitutive behavior into a structural FEM framework. A key feature is the automated rotation of stress and strain tensors …

🥳 New Kitten release!
Markdown and general renderer fixes.
Fixed:
• Nested Markdown sections rendering bug.
• Detection of components in Markdown where the opening tag spans multiple lines.
• Support for returning a component as a top-level object in a page.
• Slots in Markdown now work as they should (make sure you add them as block-level items, so with a leading and trailing empty line)
Enjoy!
:kitten: 💕

This https://arxiv.org/abs/2505.14690 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPL_…

SGL: A Structured Graphics Language
This paper introduces SGL, a graphics language that is aesthetically similar to SQL. SGL is based on traditional grammars of graphics, as well as Vega-Lite's composition algebra. SGL demonstrates that the grammatical approach to graphics lends itself naturally to a SQL-like language. As a graphical counterpart to SQL, SGL facilitates the addition of visualization capabilities to SQL query interfaces. This paper presents components of the SGL language alongside examples. Comparisons to SQL and e…

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc Ren\'e Zofka, J. Marius Z\"ollner
https://arxiv.org/abs/2506.02922

Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks
In complex autonomous driving (AD) software systems, the functioning of each system part is crucial for safe operation. By measuring the current functionality or operability of individual components an isolated glimpse into the system is given. Literature provides several of these detached assessments, often in the form of safety or performance measures. But dependencies, redundancies, error propagation and conflicting functionality statements do not allow for easy combination of these measures…

On linearly ordered sets of chain components
P. Cintioli, A. Della Corte, M. Farotti
https://arxiv.org/abs/2507.21798 https://arxiv.org/pdf/2507.21798

On linearly ordered sets of chain components
We study the chain components arising from a dynamical system $(X,f)$, with $X$ a compact metric space, from the point of view of poset theory, considering both the case in which $f$ is a continuous map and the general case in which no regularity assumption is made. \noindent Our main result are that, if $f$ is continuous, we have that: \begin{itemize} \item the chain components poset cannot be linearly and densely ordered; \item every countable well-order with a maximum is the order type o…

Nvidia rival Hailo announced the general availability of its second-generation AI accelerator chip, the Hailo-10H, with HP among its early adopters (Dylan Martin/CRN)
https://www.crn.com/news/components-peripherals/2025/nvidia-riva…

Nvidia Rival Hailo Launches GenAI Chip For Edge Devices
Nvidia rival Hailo on Tuesday said its newly launched Hailo-10H chip is the first of its kind to “bring real generative AI performance to the edge” while consuming very little energy.

This https://arxiv.org/abs/2505.10640 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

The Hitchhikers Guide to Production-ready Trustworthy Foundation Model powered Software (FMware)
Foundation Models (FMs) such as Large Language Models (LLMs) are reshaping the software industry by enabling FMware, systems that integrate these FMs as core components. In this KDD 2025 tutorial, we present a comprehensive exploration of FMware that combines a curated catalogue of challenges with real-world production concerns. We first discuss the state of research and practice in building FMware. We further examine the difficulties in selecting suitable models, aligning high-quality domain-s…

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
Ruilin Xu, Zongxuan Xie, Pengfei Chen
https://arxiv.org/abs/2506.02007

eACGM: Non-instrumented Performance Tracing and Anomaly Detection towards Machine Learning Systems
We present eACGM, a full-stack AI/ML system monitoring framework based on eBPF. eACGM collects real-time performance data from key hardware components, including the GPU and network communication layer, as well as from key software stacks such as CUDA, Python, and PyTorch, all without requiring any code instrumentation or modifications. Additionally, it leverages libnvml to gather process-level GPU resource usage information. By applying a Gaussian Mixture Model (GMM) to the collected multidime…

Large Processor Chip Model
Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaoc…

Large Processor Chip Model
Computer System Architecture serves as a crucial bridge between software applications and the underlying hardware, encompassing components like compilers, CPUs, coprocessors, and RTL designs. Its development, from early mainframes to modern domain-specific architectures, has been driven by rising computational demands and advancements in semiconductor technology. However, traditional paradigms in computer system architecture design are confronting significant challenges, including a reliance on…

Central Limit Theorems for Sample Average Approximations in Stochastic Optimal Control
Johannes Milz, Alexander Shapiro
https://arxiv.org/abs/2508.01942 https://

Central Limit Theorems for Sample Average Approximations in Stochastic Optimal Control
We establish central limit theorems for the Sample Average Approximation (SAA) method in discrete-time, finite-horizon Stochastic Optimal Control. Using the dynamic programming principle and backward induction, we characterize the limiting distributions of the SAA value functions. The asymptotic variance at each stage decomposes into two components: a current-stage variance arising from immediate randomness, and a propagated future variance accumulated from subsequent stages. This decomposition…

This https://arxiv.org/abs/2503.06474 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

ROGRAG: A Robustly Optimized GraphRAG Framework
Large language models (LLMs) commonly struggle with specialized or emerging topics which are rarely seen in the training corpus. Graph-based retrieval-augmented generation (GraphRAG) addresses this by structuring domain knowledge as a graph for dynamic retrieval. However, existing pipelines involve complex engineering workflows, making it difficult to isolate the impact of individual components. It is also challenging to evaluate the retrieval effectiveness due to the overlap between the pretra…

This https://arxiv.org/abs/2502.20495 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Highly Variable Magnetic Pressure-Driven YSO Jets in the Polar Cavity from Toroidal Fields Generated by Inner Disk Accretion
Jets and outflows are commonly observed in young stellar objects (YSOs), yet their origins remain debated. Using 3D non-ideal magnetohydrodynamic (MHD) simulations of a circumstellar disk threaded by a large-scale open poloidal magnetic field, we identify three components in the disk-driven outflow: (1) a fast, collimated jet, (2) a less collimated, slower laminar disk wind, and (3) a magneto-rotational instability (MRI)-active turbulent disk wind that separates the former two. At high altitude…

A novel stratified sampler with unbalanced refinement for network reliability assessment
Jianpeng Chan, Iason Papaioannou, Daniel Straub
https://arxiv.org/abs/2506.01044

A novel stratified sampler with unbalanced refinement for network reliability assessment
We investigate stratified sampling in the context of network reliability assessment. We propose an unbalanced stratum refinement procedure, which operates on a partition of network components into clusters and the number of failed components within each cluster. The size of each refined stratum and the associated conditional failure probability, collectively termed failure signatures, can be calculated and estimated using the conditional Bernoulli model. The estimator is further improved by det…

Analyzing $t\bar{t}Z$-couplings at the future $e^-p$ collider
Katlego Machethe, Pramod Sharma, Mukesh Kumar, Bruce Mellado
https://arxiv.org/abs/2507.02267

Analyzing $t\bar{t}Z$-couplings at the future $e^-p$ collider
The proposed Large Hadron Electron Collider (LHeC), with center-of-mass energy of $\sqrt{s}\approx 1.3$ TeV, provides a clean and sensitive environment to probe the top quark's neutral current interactions with the $Z$ boson via the process $e^- p \to e^- t \bar{t}$. We investigate the precision with which the Standard Model (SM) $t\bar{t}Z$ couplings-the vector and axial-vector components ($ΔC_{1V}$, $ΔC_{1A}$)-can be measured, along with possible new physics effects parameterized by higher-…

physician_trust: Physician trust network (1966)
A network of trust relationships among physicians in four midwestern (USA) cities in 1966. Edge direction indicates that node i trusts or asks for advice from node j. Each of the four components represent the network within a given city.
This network has 241 nodes and 1098 edges.
Tags: Social, Offline, Unweighted

Exploring the potential for kinematically colder HI component as a tracer for star-forming gas in nearby galaxies
Hye-Jin Park, Andrew J. Battisti, Antoine Marchal, Luca Cortese, Emily Wisnioski, Mark Seibert, Shin-Jeong Kim, Naomi McClure-Griffiths, W. J. G. de Blok, Kathryn Grasha, Barry F. Madore, Jeff A. Rich, Rachael L. Beaton
https://

Exploring the potential for kinematically colder HI component as a tracer for star-forming gas in nearby galaxies
Atomic hydrogen (HI) dominates the mass of the cold interstellar medium, undergoing thermal condensation to form molecular gas and fuel star formation. Kinematically colder HI components, identified via kinematic decomposition of HI 21 cm data cubes, serve as a crucial transition phase between diffuse warm neutral gas and molecular hydrogen (H$_{2}$). We analyse these colder HI components by decomposing HI 21 cm data cubes of seven nearby galaxies - Sextans A, NGC 6822, WLM, NGC 5068, NGC 7793,…

A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
Amra Ramic, Stefan Kugele
https://arxiv.org/abs/2506.01595 https://

A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
Background: Due to their diversity, complexity, and above all importance, safety-critical and dependable systems must be developed with special diligence. Criticality increases as these systems likely contain artificial intelligence (AI) components known for their uncertainty. As software and reference architectures form the backbone of any successful system, including safety-critical dependable systems with learning-enabled components, choosing the suitable architecture that guarantees safety …

An Analysis of HPC and Edge Architectures in the Cloud
Steven Santillan, Cristina L. Abad
https://arxiv.org/abs/2508.01494 https://arxiv.org/pdf/2508.01494…

An Analysis of HPC and Edge Architectures in the Cloud
We analyze a recently published dataset of 396 real-world cloud architectures deployed on AWS, from companies belonging to a wide range of industries. From this dataset, we identify those architectures that contain HPC or edge components and characterize their designs. Specifically, we investigate the prevalence and interplay of AWS services within these architectures, examine the types of storage systems employed, assess architectural complexity and the use of machine learning services, discus…

Graphs with tree decompositions of small graphs and realizing them as the Reeb graphs of real algebraic functions
Naoki Kitazawa
https://arxiv.org/abs/2508.00729 https://…

Graphs with tree decompositions of small graphs and realizing them as the Reeb graphs of real algebraic functions
We have been interested in graphs and realizing them as Reeb graphs of explicit real algebraic functions. The Reeb graph of a differentiable function is the quotient space of the manifold of the domain, regarded as the space consisting of all components of preimages of all single points. Reeb graphs have been fundamental and strong tools in geometry of manifolds since the birth of theory of Morse functions, in the former half of the 20th century. We can easily see that the Reeb graph of the n…

This https://arxiv.org/abs/2505.20748 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLO_…

INTERLEAVE: A Faster Symbolic Algorithm for Maximal End Component Decomposition
This paper presents a novel symbolic algorithm for the Maximal End Component (MEC) decomposition of a Markov Decision Process (MDP). The key idea behind our algorithm INTERLEAVE is to interleave the computation of Strongly Connected Components (SCCs) with eager elimination of redundant state-action pairs, rather than performing these computations sequentially as done by existing state-of-the-art algorithms. Even though our approach has the same complexity as prior works, an empirical evaluation…

This https://arxiv.org/abs/2410.04444 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement
The rapid advancement of large language models (LLMs) has significantly enhanced the capabilities of AI-driven agents across various tasks. However, existing agentic systems, whether based on fixed pipeline algorithms or pre-defined meta-learning frameworks, cannot search the whole agent design space due to the restriction of human-designed components, and thus might miss the globally optimal agent design. In this paper, we introduce Gödel Agent, a self-evolving framework inspired by the Göde…

This https://arxiv.org/abs/2505.17081 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Lieb-Mattis ordering theorem of electronic energy levels in the thermodynamic limit
Lieb-Mattis theorem orders the lowest-energy states of total spin $s$ of a system of $P$ interacting fermions. We generalize these predictions to fermionic mixtures of $P$ particles with more than $N=2$ spinor components/species in the thermodynamic limit $P\to\infty$. The lowest-energy state inside each permutation symmetry sector $h$, arising in the $P$-fold tensor product decomposition, is well approximated by a U$(N)$ coherent (quasi-classical, variational) state, specially in the limit $P\…

A new efficient RPKI Design
Haya Schulmann, Niklas Vogel
https://arxiv.org/abs/2507.01465 https://arxiv.org/pdf/2507.01465

A new efficient RPKI Design
Resource Public Key Infrastructure (RPKI) is a critical security mechanism for BGP, but the complexity of its architecture is a growing concern as its adoption scales. Current RPKI design heavily reuses legacy PKI components, such as X.509 EE-certificates, ASN.1 encoding, and XML-based repository protocols, all these introduce excessive cryptographic validation, redundant metadata, and inefficiencies in both storage and processing. We show that these design choices, although based on establishe…

HD 5501: A Rapidly Evolving Interacting Eclipsing Binary with a Variable Light Curve and H$\alpha$ Emission
Richard O. Gray, Christopher. J. Corbally, Sean Curry, Bradley E. Schaefer, Jack Martin, David Boyd, James Foster, Dale E. Mais, Michael M. Briley, Forrest Sims, Christophe Boussin, Gary Walker, Joe Novosel, David Cejudo Fernandez, Robert Buchheim, David Iadevaia, Robin Leadbeater, Daniel B. Caton, Adam Smith, Courtney E. McGahee, David Decker, Gary Hawkins

HD 5501: A Rapidly Evolving Interacting Eclipsing Binary with a Variable Light Curve and H$α$ Emission
HD~5501, a hitherto little studied eclipsing binary with an early A-type primary, has been caught in a short-lived, astrophysically interesting phase of its binary evolution. Recent photometric and spectroscopic observations, including photometric data from {\it TESS}, show it has a highly variable light curve as well as complex spectral variability, particularly in both the absorption and emission components at H~$α$. Our current campaign, including both professional and amateur observers, ha…

Synergy-Informed Design of Platform Trials for Combination Therapies
Nan Miles Xi, Man Mandy Jin, Lin Wang, Xin Huang
https://arxiv.org/abs/2506.03086 http…

Synergy-Informed Design of Platform Trials for Combination Therapies
Combination drug therapies hold significant promise for enhancing treatment efficacy, particularly in fields such as oncology, immunotherapy, and infectious diseases. However, designing clinical trials for these regimens poses unique statistical challenges due to multiple hypothesis testing, shared control groups, and overlapping treatment components that induce complex correlation structures. In this paper, we develop a novel statistical framework tailored for early-phase translational combina…

Exploiting complex 3D-printed surface structures for portable quantum technologies
Nathan Cooper, David Johnson, Benjamin Hopton, Matthew Overton, David Stupple, Alexandra Bratu, Edward Wilson, John Robinson, Laurence Coles, Manolis Papastavrou, Lucia Hackermueller
https://arxiv.org/abs/2507.01476

Exploiting complex 3D-printed surface structures for portable quantum technologies
Portable quantum technologies require robust, lightweight apparatus with superior performance. For techniques dependent upon high-vacuum environments, such as atom interferometers and atomic clocks, 3D-printing enables new avenues to tailor in-vacuum gas propagation dynamics. We demonstrate intricate, fine-scale surface patterning of 3D-printed vacuum components to increase the rate at which gas particles collide with the surface. By applying a non-evaporable getter coating for use as a surface…

This https://arxiv.org/abs/2411.17098 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Determination of the binding and $DK$ probability of the $D^{*}_{s0}(2317)$ from the $(\bar{D}\bar K)^-$ mass distributions in $Λ_{b}\to Λ_{c} (\bar{D}\bar K)^-$ decays
We study the $Λ_{b}\toΛ_{c}\bar{D}^{0}K^{-}$ and $Λ_{b}\to Λ_{c}D^{-}\bar{K}^{0}$ decays which proceed via a Cabibbo and $N_c$ favored process of external emission, and we determine the $\bar{D}^{0}K^{-}$ and $D^{-}\bar{K}^{0}$ mass distributions close to the $\bar{D} \bar{K}$ threshold. For this, we use the tree level contribution plus the rescattering of the meson-meson components, using the extension of the local hidden gauge approach to the charm sector that produces the $D^*_{s0}(2317)…

#Laravel #Livewire 4: The Future of #PHP Components 🚀
🔧 Single-file components with native #JavaScript

This https://arxiv.org/abs/2306.07569 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Ontological Component-based Description of Robot Capabilities
A key aspect of a robot's knowledge base is self-awareness about what it is capable of doing. It allows to define which tasks it can be assigned to and which it cannot. We will refer to this knowledge as the Capability concept. As capabilities stems from the components the robot owns, they can be linked together. In this work, we hypothesize that this concept can be inferred from the components rather than merely linked to them. Therefore, we introduce an ontological means of inferring the agen…

Geometric Langlands in positive characteristic from characteristic zero
Dennis Gaitsgory, Sam Raskin
https://arxiv.org/abs/2508.02237 https://arxiv.org/pdf…

Geometric Langlands in positive characteristic from characteristic zero
We establish part of the statement of the geometric Langlands conjecture for l-adic sheaves over a field of positive characteristic. Namely, we show that the category of automorphic sheaves with nilpotent singular support is equivalent to the appropriately defined category of ind-coherent sheaves on the union of some of the connected components of the stack of Langlands parameters.

The effects of the orbital configurations of mergers on reshaping galaxy structures
Xinyi Wu, Ling Zhu, Jiang Chang, Guangquan Zeng, Yu Lei
https://arxiv.org/abs/2507.02051

The effects of the orbital configurations of mergers on reshaping galaxy structures
We performed a systematic analysis of how the orbital configuration of a merger can influence the structural formation of remnant galaxies using 531 merger pairs selected from IllustrisTNG-100. We comprehensively described the merger orbital configuration, considering the relative orbital motion of the merger pair and their disk orientations. We quantified the galaxy structures by dynamically defining four components: bulge, disk, warm component, and hot inner stellar halo. For mergers on spira…

Note on the interpretation of magnetic diffraction in NdAlSi: helical or fan?
Takashi Kurumaji
https://arxiv.org/abs/2506.04000 https://

Note on the interpretation of magnetic diffraction in NdAlSi: helical or fan?
We revisit the magnetic structure analysis reported in Nat. Mater. 20, 1650 (2021), which concluded that a Weyl semimetal candidate NdAlSi hosts a helical magnetic order. This conclusion was based on magnetic neutron diffraction peaks corresponding to modulation vectors $\vec{k}_{in} = (1/3, 1/3, 0)$ and $\vec{k}_{out} = (2/3, 2/3, 0)$, attributed to in-plane and out-of-plane components of the magnetic moments, respectively. Upon careful reanalysis, we suggest that a fan-type magnetic structure…

Quantum reinforcement learning in dynamic environments
Oliver Sefrin, Manuel Radons, Lars Simon, Sabine W\"olk
https://arxiv.org/abs/2507.01691 https:…

Quantum reinforcement learning in dynamic environments
Combining quantum computing techniques in the form of amplitude amplification with classical reinforcement learning has led to the so-called "hybrid agent for quantum-accessible reinforcement learning", which achieves a quadratic speedup in sample complexity for certain learning problems. So far, this hybrid agent has only been applied to stationary learning problems, that is, learning problems without any time dependency within components of the Markov decision process. In this work, we invest…

Lonely Little Red Dots: Challenges to the AGN-nature of little red dots through their clustering and spectral energy distributions
Mar\'ia de las Mercedes Carranza Escudero, Christopher J. Conselice, Nathan Adams, Thomas Harvey, Duncan Austin, Peter Behroozi, Leonardo Ferreira, Katherine Ormerod, Qiao Duan, James Trussler, Qiong Li, Lewi Westcott, Rogier A. Windhorst, Dan Coe, Seth H. Cohen, Cheng Cheng, Simon P. Driver, Brenda Frye, Lukas J. Furtak, Norman A. Grogin, Nimish P. Hat…

Lonely Little Red Dots: Challenges to the AGN-nature of little red dots through their clustering and spectral energy distributions
Observations with the James Webb Space Telescope (JWST) reveal a previously unseen population of compact red objects, known as ``little red dots`` (LRDs). We study a new photometrically selected sample of 124 LRDs in the redshift range $z$ $\sim$ 3 - 10 selected from NIRCam coverage of the CEERS, NEP-TDF, JADES and JEMS surveys. For JADES, the NEP-TDF and CEERS, we compare SED models with and without AGN components and analyse the impact of an AGN component on the goodness of fit using the Baye…

Dicritical divisors and hypercurvettes
Enrique Artal Bartolo, Willem Veys
https://arxiv.org/abs/2505.24648 https://arxiv.org/pdf/2505…

Dicritical divisors and hypercurvettes
Germs of rational functions~$h$ on points $p$ of smooth varieties~$S$ define germs of rational maps to the projective line. Assume that $p$ is in the indeterminacy locus of $h$. If $π:\hat{S}\to S$ is a birational map which is an isomorphism outside $p$, then $h$ lifts to a germ of a rational map on $(\hat{S}, π^{-1}(p))$. The exceptional components $E_i$ of $π^{-1}(p)$ are classified according to the restriction of (the lift of) $h$ to $E_i$; the dicritical components are those where this r…

Degenerations of maps to projective spaces
Eduardo Esteves, Piere Rodriguez, Eduardo Vital
https://arxiv.org/abs/2507.00901 https://a…

Degenerations of maps to projective spaces
Degenerations of linear series on smooth projective varieties approaching multicomponent varieties $X$ give rise to certain quiver representations in the category of linear series over $X$, which yield rational maps from $X$ to the corresponding quiver Grassmannians of codimension 1 subspaces. We describe these quiver Grassmannians for the case of the simplest quiver, arising when $X$ has only two components. We prove that they are reduced, local complete intersections whose components are rati…