Tootfinder

Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
Yiming Xu, Runzhi He, Hengzhi Ye, Minghui Zhou, Huaimin Wang
https://arxiv.org/abs/2507.21678 …

Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
The maintenance risks of open source software (OSS) projects pose significant threats to the quality, security, and resilience of modern software supply chains. While prior research has proposed diverse approaches for predicting OSS maintenance risk -- leveraging signals ranging from surface features (e.g., stars, commits) to social network analyses and behavioral patterns -- existing methods often suffer from ambiguous operational definitions, limited interpretability, and datasets of insuffic…

Alas I've just ordered a WIFI enabled, AI washing machine; and the copyright doesn't even include CURL; I thought the 5 year warranty would enable be to ask @… for advice on getting my clothes cleaner.
Still, it seems to have everything else, NuttX and contiki low power OSs (neither of which I've come across), Uboot, wpa_supplicant, cJSON, FatFS

@… Yanked OTEL out, and the error went away. It's barely any touching PHP, but this is probably deep enough to be problematic in a high-pressure environment: https://

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization
Yiting Wang, Wanghao Ye, Yexiao He, Yiran Chen, Gang Qu, Ang Li
https://arxiv.org/abs/2507.19570

MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization
This paper presents MCP4EDA, the first Model Context Protocol server that enables Large Language Models (LLMs) to control and optimize the complete open-source RTL-to-GDSII design flow through natural language interaction. The system integrates Yosys synthesis, Icarus Verilog simulation, OpenLane place-and-route, GTKWave analysis, and KLayout visualization into a unified LLM-accessible interface, enabling designers to execute complex multi-tool EDA workflows conversationally via AI assistants s…

Music Arena: Live Evaluation for Text-to-Music
Yonghyun Kim, Wayne Chi, Anastasios N. Angelopoulos, Wei-Lin Chiang, Koichi Saito, Shinji Watanabe, Yuki Mitsufuji, Chris Donahue
https://arxiv.org/abs/2507.20900

Music Arena: Live Evaluation for Text-to-Music
We present Music Arena, an open platform for scalable human preference evaluation of text-to-music (TTM) models. Soliciting human preferences via listening studies is the gold standard for evaluation in TTM, but these studies are expensive to conduct and difficult to compare, as study protocols may differ across systems. Moreover, human preferences might help researchers align their TTM systems or improve automatic evaluation metrics, but an open and renewable source of preferences does not cur…

SuperMag: Vision-based Tactile Data Guided High-resolution Tactile Shape Reconstruction for Magnetic Tactile Sensors
Peiyao Hou, Danning Sun, Meng Wang, Yuzhe Huang, Zeyu Zhang, Hangxin Liu, Wanlin Li, Ziyuan Jiao
https://arxiv.org/abs/2507.20002

SuperMag: Vision-based Tactile Data Guided High-resolution Tactile Shape Reconstruction for Magnetic Tactile Sensors
Magnetic-based tactile sensors (MBTS) combine the advantages of compact design and high-frequency operation but suffer from limited spatial resolution due to their sparse taxel arrays. This paper proposes SuperMag, a tactile shape reconstruction method that addresses this limitation by leveraging high-resolution vision-based tactile sensor (VBTS) data to supervise MBTS super-resolution. Co-designed, open-source VBTS and MBTS with identical contact modules enable synchronized data collection of …

LEMONS: An open-source platform to generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions
Oscar Dufour (ILM, CNRS), Alexandre Nicolas (ILM, CNRS), Maxime Stapelle (ILM, CNRS)
https://arxiv.org/abs/2508.19865

LEMONS: An open-source platform to generate non-circuLar, anthropometry-based pEdestrian shapes and simulate their Mechanical interactiONS in two dimensions
We offer a collection of videos showing simulations of pedestrian crowds made with the LEMONS software. LEMONS is an open-source computational tool designed for modelling dense crowds. The platform features an intuitive online interface, enabling users to generate 2D and 3D pedestrian crowds based on anthropometric data. Additionally, it features a C++ library that computes mechanical contacts with other agents and obstacles, and evolves the crowd's configuration. Both the online platform and t…

The CASE Framework -- A New Architecture for Participatory Research and Digital Health Surveillance
Marco Hirsch, Peter Hevesi, Paul Lukowicz
https://arxiv.org/abs/2505.23516

The CASE Framework -- A New Architecture for Participatory Research and Digital Health Surveillance
We present the CASE framework, an open-source platform for adaptive, context-aware participatory research, and pandemic preparedness. CASE implements an event-driven architecture that enables dynamic survey workflows, allowing real-time adaptation based on participant responses, external data, temporal conditions, and evolving user states. The framework supports a broad range of research needs, from simple one-time questionnaires to complex longitudinal studies with advanced conditional logic. …

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
Sajratul Y. Rubaiat, Hasan M. Jamil
https://arxiv.org/abs/2506.17580

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models
The exponential growth of scientific literature challenges researchers extracting and synthesizing knowledge. Traditional search engines return many sources without direct, detailed answers, while general-purpose LLMs may offer concise responses that lack depth or omit current information. LLMs with search capabilities are also limited by context window, yielding short, incomplete answers. This paper introduces WISE (Workflow for Intelligent Scientific Knowledge Extraction), a system addressing…

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
Xiang Echo Chen, Wenhan Zhu, Guoshuai Albert Shi, Michael W. Godfrey
https://arxiv.org/abs/2507.18029

An Empirical Study of GenAI Adoption in Open-Source Game Development: Tools, Tasks, and Developer Challenges
The growing capabilities of generative AI (GenAI) have begun to reshape how games are designed and developed, offering new tools for content creation, gameplay simulation, and design ideation. While prior research has explored traditional uses of AI in games, such as controlling agents or generating procedural content. There is limited empirical understanding of how GenAI is adopted by developers in real-world contexts, especially within the open-source community. This study aims to explore how…