Tootfinder

Chain-of-Memory: Enhancing GUI Agents for Cross-Application Navigation
Xinzge Gao, Chuanrui Hu, Bin Chen, Teng Li
https://arxiv.org/abs/2506.18158 https://…

Chain-of-Memory: Enhancing GUI Agents for Cross-Application Navigation
Multimodal large language models (MLLMs) are attracting growing attention in the development of Graphical User Interface (GUI) agents. Existing approaches often rely on historical screenshots or actions to implicitly represent the task state. This reliance poses challenges for GUI agents in accurately understanding task states and underscores the absence of effective mechanisms to store critical information in complex and lengthy cross-app tasks. To address these challenges, we propose Chain-of…

Finite-size security analysis for quantum protocols: A Python framework using the Entropy Accumulation Theorem with graphical interface
Piotr Mironowicz, Mohamed Bourennane
https://arxiv.org/abs/2506.18888

Finite-size security analysis for quantum protocols: A Python framework using the Entropy Accumulation Theorem with graphical interface
We present a comprehensive software framework for the finite-size security analysis of quantum random number generation (QRNG) and quantum key distribution (QKD) protocols, based on the Entropy Accumulation Theorem (EAT). Our framework includes both a Python API and an intuitive graphical user interface (GUI), designed to support protocol designers and experimentalists in certifying randomness and key rates under realistic, finite-resource conditions. At its core, the framework automates the co…

Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents
Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang
https://arxiv.org/abs/2506.17913

Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents
Graphical User Interface (GUI) agents have made significant progress in automating digital tasks through the utilization of computer vision and language models. Nevertheless, existing agent systems encounter notable limitations. Firstly, they predominantly depend on trial and error decision making rather than progressive reasoning, thereby lacking the capability to learn and adapt from interactive encounters. Secondly, these systems are assessed using overly simplistic single step accuracy metr…

Non-holomorphic modular flavor symmetry and odd weight polyharmonic Maa{\ss} form
Bu-Yao Qu, Jun-Nan Lu, Gui-Jun Ding
https://arxiv.org/abs/2506.19822 http…

Non-holomorphic modular flavor symmetry and odd weight polyharmonic Maaß form
We extend the framework of non-holomorphic modular flavor symmetry to include the odd weight polyharmonic Maaß forms. The integer weight polyharmonic Maaß forms of level $N$ can be arranged into multipltets of the homogeneous finite modular group $Γ'_N$. We propose to construct the integer weight, including weight one, non-holomorphic polyharmonic Maaß forms from the non-holomorphic Eisenstein series. The previous results of even weight polyharmonic Maaß forms are reproduced. We apply this…

9p is the only valid way of making a GUI for a game engine

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
Jingqi Yang, Zhilong Song, Jiawei Chen, Mingli Song, Sheng Zhou, linjun sun, Xiaogang Ouyang, Chun Chen, Can Wang
https://arxiv.org/abs/2506.14477

GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
The development of high-quality datasets is crucial for benchmarking and advancing research in Graphical User Interface (GUI) agents. Despite their importance, existing datasets are often constructed under idealized conditions, overlooking the diverse anomalies frequently encountered in real-world deployments. To address this limitation, we introduce GUI-Robust, a novel dataset designed for comprehensive GUI agent evaluation, explicitly incorporating seven common types of anomalies observed in …

How to search successfully in Spotlight: GUI tools #Finder

How to search successfully in Spotlight: GUI tools
Using the Spotlight window and Finder’s Find window to locate local files that match your search criteria. Word boundaries and their effect on search results.

Radio emission from airplanes as observed with RNO-G
G Collaboration, S. Agarwal, J. A. Aguilar, N. Alden, S. Ali, P. Allison, M. Betts, D. Besson, A. Bishop, O. Botner, S. Bouma, S. Buitink, R. Camphyn, J. Chan, S. Chiche, B. A. Clark, A. Coleman, K. Couberly, S. de Kockere, K. D. de Vries, C. Deaconu, P. Giri, C. Glaser, T. Gl\"usenkamp, H. Gui, A. Hallgren, S. Hallmann, J. C. Hanson, K. Helbing, B. Hendricks, J. Henrichs, N. Heyer, C. Hornhuber, E. Huesca Santiago, K. Hughes, A…

Radio emission from airplanes as observed with RNO-G
This paper describes how intentional and unintentional radio emission from airplanes is recorded with the Radio Neutrino Observatory Greenland (RNO-G). We characterize the received signals and define a procedure to extract a clean set of impulsive signals. These signals are highly suitable for instrument calibration, also for future experiments. A set of signals is used to probe the timing precision of RNO-G in-situ, which is found to match expectations. We also discuss the impact of these sign…

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
Jiaqi Tang, Yu Xia, Yi-Feng Wu, Yuwei Hu, Yuhui Chen, Qing-Guo Chen, Xiaogang Xu, Xiangyu Wu, Hao Lu, Yanqing Ma, Shiyin Lu, Qifeng Chen
https://arxiv.org/abs/2506.09373

LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization
The advent of autonomous agents is transforming interactions with Graphical User Interfaces (GUIs) by employing natural language as a powerful intermediary. Despite the predominance of Supervised Fine-Tuning (SFT) methods in current GUI agents for achieving spatial localization, these methods face substantial challenges due to their limited capacity to accurately perceive positional data. Existing strategies, such as reinforcement learning, often fail to assess positional accuracy effectively, …

Giant Magneto-Optical Effects in Two-Dimensional Flat-Band Antiferromagnets
Ping Yang, Wanxiang Feng, Siyuan Liu, Shan Guan, Liwei Wen, Wei Jiang, Gui-Bin Liu, Yugui Yao
https://arxiv.org/abs/2506.16749

Giant Magneto-Optical Effects in Two-Dimensional Flat-Band Antiferromagnets
In this work, we reveal giant magneto-optical responses in two-dimensional(2D) antiferromagnets with nearly flat electronic bands, based on first-principles calculations and group-theoretical analysis. We identify a record-large second-order magneto-optical Schafer-Hubert(SH) effect, featuring a polarization rotation angle of 28 degree, in monolayer antiferromagnetic RuOCl2, driven by flatband-enhanced interband optical transitions. Both the valence and conduction bands exhibit pronounced direc…

This https://arxiv.org/abs/2504.17934 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI Agents
The rise of Large Language Models (LLMs) has revolutionized Graphical User Interface (GUI) automation through LLM-powered GUI agents, yet their ability to process sensitive data with limited human oversight raises significant privacy and security risks. This position paper identifies three key risks of GUI agents and examines how they differ from traditional GUI automation and general autonomous agents. Despite these risks, existing evaluations focus primarily on performance, leaving privacy an…

LLM-Guided Scenario-based GUI Testing
Shengcheng Yu, Yuchen Ling, Chunrong Fang, Quan Zhou, Chunyang Chen, Shaomin Zhu, Zhenyu Chen
https://arxiv.org/abs/2506.05079

LLM-Guided Scenario-based GUI Testing
The assurance of mobile app GUI is more and more significant. Automated GUI testing approaches of different strategies have been developed, while there are still huge gaps between the approaches and the app business logic, not taking the completion of specific testing scenarios as the exploration target, leading to the exploration missing of critical app functionalities. Learning from the manual testing, which takes testing scenarios with app business logic as the basic granularity, in this pap…

Tonight I had my first longer #VibeCoding session using #Aider. The result is a significantly improved UX for #SPOV (a

If you just need a pretty figure from a dataset and not the full power of R, have a look at #gui

Computational Studies in Influencer Marketing: A Systematic Literature Review
Haoyang Gui, Thales Bertaglia, Catalina Goanta, Gerasimos Spanakis
https://arxiv.org/abs/2506.14602

Computational Studies in Influencer Marketing: A Systematic Literature Review
Influencer marketing has become a crucial feature of digital marketing strategies. Despite its rapid growth and algorithmic relevance, the field of computational studies in influencer marketing remains fragmented, especially with limited systematic reviews covering the computational methodologies employed. This makes overarching scientific measurements in the influencer economy very scarce, to the detriment of interested stakeholders outside of platforms themselves, such as regulators, but also…

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
Chenxu Liu, Zhiyu Gu, Guoquan Wu, Ying Zhang, Jun Wei, Tao Xie
https://arxiv.org/abs/2506.00520

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
Quality assurance of web applications is critical, as web applications play an essential role in people's daily lives. To reduce labor costs, automated web GUI testing (AWGT) is widely adopted, exploring web applications via GUI actions such as clicks and text inputs. However, these approaches face limitations in generating continuous and meaningful action sequences capable of covering complex functionalities. Recent work incorporates large language models (LLMs) for GUI testing. However, these…

Contact Term Algebras and Dijkgraaf's Master Equation
Zhengping Gui, Si Li, Xinxing Tang
https://arxiv.org/abs/2506.13194 https://

Contact Term Algebras and Dijkgraaf's Master Equation
This paper is devoted to study integrable deformations of chiral conformal field theories on elliptic curves from the viewpoint of contact algebra. We introduce the relevant integrable condition within the framework of conformal vertex algebra, and derive the contact term relations among certain local operators. We investigate three versions of genus one partition functions and derive the contact equations. This leads to a rigorous formulation of Dijkgraaf's master equation \cite{Dijk1996master…

Ants3 toolkit: front-end for Geant4 with interactive GUI and Python scripting
A. Morozov, L. M. S. Margato, G. Canezin, J. Gonzalez
https://arxiv.org/abs/2506.07922

Ants3 toolkit: front-end for Geant4 with interactive GUI and Python scripting
Ants3 is a toolkit that serves as a front-end for particle simulations in Geant4 and offers a custom simulator for optical photons. It features a fully interactive Graphical User Interface and an extensive scripting system based on general-purpose scripting languages (Python and JavaScript). Ants3 covers the entire detector simulation/optimization cycle, providing an intuitive approach for configuration of the geometry and simulation conditions, the possibility to automatically distribute workl…

»How to build a copy-to-clipboard HTML«
– by @…
With JavaScript set HTML to easy use web GUI's.
📃 https://gomakethings.com/how-…

How to build a copy-to-clipboard HTML Web Component
Yesterday, we looked at how to copy items to a user’s clipboard with JavaScriprt. Today, we’re going to turn that into an HTML Web Component. Let’s dig in! The Custom Element For this Web Component, let’s use a element. With the HTML Web Component approach, we start with HTML and enhance it rather than rendering all the things with JavaScript. Let’s add a with our desired text inside the custom element.

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…

A simple GUI-based screencast demo of the @… AI Layer (OPAL), showing what’s now possible via MCP A2A—namely, composing and orchestrating agentic workflows through loosely coupled software.
How?
An Agent Host routes tasks to Agents via A2A. Agents then invoke MCP-accessible tools (functions, procedures, APIs) described using JSON/YAML and exposed …

I maintain #macos #osx #macosx

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
High Vis:
🎵 Guided Tour
#HighVis
https://highvis.bandcamp.com/track/guided-tour
https://open.spotify.com/track/0afflx9Jk8wIFitFncBnyS

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs
Ruofan Liu, Xiwen Teoh, Yun Lin, Guanjie Chen, Ruofei Ren, Denys Poshyvanyk, Jin Song Dong
https://arxiv.org/abs/2506.07385

GUIPilot: A Consistency-based Mobile GUI Testing Approach for Detecting Application-specific Bugs
In this work, we propose GUIPilot, an approach for detecting inconsistencies between the mobile design and their implementations. The mobile design usually consists of design mock-ups that specify (1) the expected screen appearances (e.g., widget layouts, colors, and shapes) and (2) the expected screen behaviors, regarding how one screen can transition into another (e.g., labeled widgets with textual description). Given a design mock-up and the implementation of its application, GUIPilot report…

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training
Shurui Gui, Shuiwang Ji
https://arxiv.org/abs/2506.09433 https://

Mitigating Spurious Correlations in LLMs via Causality-Aware Post-Training
While large language models (LLMs) have demonstrated remarkable capabilities in language modeling, recent studies reveal that they often fail on out-of-distribution (OOD) samples due to spurious correlations acquired during pre-training. Here, we aim to mitigate such spurious correlations through causality-aware post-training (CAPT). By decomposing a biased prediction into two unbiased steps, known as \textit{event estimation} and \textit{event intervention}, we reduce LLMs' pre-training biases…

A Tale of Two Monopolies
Yi-Chun Chen, Zhengqing Gui
https://arxiv.org/abs/2506.06763 https://arxiv.org/pdf/2506.06763

A Tale of Two Monopolies
We apply marginal analysis à la Bulow and Roberts (1989) to characterize the revenue-maximizing selling mechanism for a multiproduct monopoly. Specifically, we derive the revenue change due to a price perturbation on any subset of bundles holding the prices of other bundles fixed. In an optimal mechanism, total revenue must not increase with any small price change for bundles with positive demand, nor with a small price decrease for bundles with zero demand. For any symmetric two-dimensional t…

This https://arxiv.org/abs/2407.17490 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents
AI agents have drawn increasing attention mostly on their ability to perceive environments, understand tasks, and autonomously achieve goals. To advance research on AI agents in mobile scenarios, we introduce the Android Multi-annotation EXpo (AMEX), a comprehensive, large-scale dataset designed for generalist mobile GUI-control agents which are capable of completing tasks by directly interacting with the graphical user interface (GUI) on mobile devices. AMEX comprises over 104K high-resolution…

Learning Sparsity for Effective and Efficient Music Performance Question Answering
Xingjian Diao, Tianzhen Yang, Chunhui Zhang, Weiyi Wu, Ming Cheng, Jiang Gui
https://arxiv.org/abs/2506.01319

Learning Sparsity for Effective and Efficient Music Performance Question Answering
Music performances, characterized by dense and continuous audio as well as seamless audio-visual integration, present unique challenges for multimodal scene understanding and reasoning. Recent Music Performance Audio-Visual Question Answering (Music AVQA) datasets have been proposed to reflect these challenges, highlighting the continued need for more effective integration of audio-visual representations in complex question answering. However, existing Music AVQA methods often rely on dense and…

Man pleads guilty to swatting spree impacting scores of government officials https://therecord.media/man-pleads-guilty-swatting-spree-government-officials

Higher Chiral Algebras in a Polysimplicial Model
Laura O. Felder, Zhengping Gui, Charles A. S. Young
https://arxiv.org/abs/2506.09728 https://

Higher Chiral Algebras in a Polysimplicial Model
Vertex algebras are equivalent to translation-equivariant chiral algebras on $\mathbb{A}^1$, in the sense of Beilinson and Drinfeld. In this paper we give an algebraic construction of a chiral algebra on $\mathbb{A}^n$; this can be seen as an algebraic construction of a higher-dimensional vertex algebra. We introduce a model, in dg commutative algebras, of the derived algebra of functions on the configuration space of $k$ distinct labelled marked points in $\mathbb{A}^n$. Working in this mode…

AutoGEEval : A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine
Shuyang Hou, Zhangxiao Shen, Huayi Wu, Haoyue Jiao, Ziqi Liu, Lutong Xie, Chang Liu, Jianyuan Liang, Yaxian Qing, Xiaopu Zhang, Dehua Peng, Zhipeng Gui, Xuefeng Guan
https://

AutoGEEval++: A Multi-Level and Multi-Geospatial-Modality Automated Evaluation Framework for Large Language Models in Geospatial Code Generation on Google Earth Engine
Geospatial code generation is becoming a key frontier in integrating artificial intelligence with geo-scientific analysis, yet standardised automated evaluation tools for this task remain absent. This study presents AutoGEEval++, an enhanced framework building on AutoGEEval, and the first automated assessment system for large language models (LLMs) generating geospatial code on Google Earth Engine (GEE). It supports diverse data modalities and varying task complexities. Built on the GEE Python …

$\eta$ and $\eta'$ mesons from $N_f = 2 1$ lattice QCD at the physical point using topological charge operators
Yue Su, Nan Wang, Long-cheng Gui, Jun Hua, Jian Liang, Jun Shi
https://arxiv.org/abs/2505.19775

$η$ and $η'$ mesons from $N_f = 2+1$ lattice QCD at the physical point using topological charge operators
By fitting the two-point correlation functions of topological charge density operators calculated on two $2+1$-flavor gauge ensembles with physical pion mass, we determine both the $η$ and $η'$ masses and also the mixing angle to be $m_η= 0.522(27)(22)$ GeV, $m_{η'}=0.970(56)(17)$ GeV, and $θ_1 = -10.7(1.4)(0.2)^\circ$, respectively, where the first error is the statistical uncertainty and the second one is the systematic uncertainty of lattice discretization effects. This is the first ext…