Tootfinder

'They're going to lose more lives' — US lawmakers voice opposition to Trump administration halting air defense shipments to Ukraine: https://benborges.xyz/2025/07/03/theyre-going-to-lose-more.html

Design and Development of a Web Platform for Blood Donation Management
Fatima Zulfiqar Ali, Atrooba Ilyas
https://arxiv.org/abs/2509.04423 https://arxiv.or…

Design and Development of a Web Platform for Blood Donation Management
Blood donation is a critical component of healthcare, yet locating suitable donors in emergencies often presents significant challenges. This paper presents the design and development of a Blood Donation Web Platform, a web-based system that connects patients, donors, and administrators within a centralized digital space. The platform allows interested donors to register their personal information, including blood group, contact details, and availability. Patients can search for donors based on…

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles
Mushuang Liu, Yan Wan, Frank Lewis, Subramanya Nageshrao, H. Eric Tseng, Dimitar Filev
https://arxiv.org/abs/2507.21941

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles
This paper develops a game-theoretic decision-making framework for autonomous driving in multi-agent scenarios. A novel hierarchical game-based decision framework is developed for the ego vehicle. This framework features an interaction graph, which characterizes the interaction relationships between the ego and its surrounding traffic agents (including AVs, human driven vehicles, pedestrians, and bicycles, and others), and enables the ego to smartly select a limited number of agents as its game…

Vertex addition to a ball graph with application to reliability and area coverage in autonomous swarms
Calum Buchanan, Puck Rombach, James Bagrow, Hamid R. Ossareh
https://arxiv.org/abs/2506.19197

Vertex addition to a ball graph with application to reliability and area coverage in autonomous swarms
A unit ball graph consists of a set of vertices, labeled by points in Euclidean space, and edges joining all pairs of points within distance $1$. These geometric graphs are used to model a variety of spatial networks, including communication networks between agents in an autonomous swarm. In such an application, vertices and/or edges of the graph may not be perfectly reliable; an agent may experience failure or a communication link rendered inoperable. With the goal of designing robust swarm fo…

Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
Jing Wang, Yan Jin, Fei Ding, Chongfeng Wei
https://arxiv.org/abs/2507.23080 https://

Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
Since the advent of autonomous driving technology, it has experienced remarkable progress over the last decade. However, most existing research still struggles to address the challenges posed by environments where multiple vehicles have to interact seamlessly. This study aims to integrate causal learning with reinforcement learning-based methods by leveraging causal disentanglement representation learning (CDRL) to identify and extract causal features that influence optimal decision-making in a…

Model Context Protocols in Adaptive Transport Systems: A Survey
Gaurab Chhetri, Shriyank Somvanshi, Md Monzurul Islam, Shamyo Brotee, Mahmuda Sultana Mimi, Dipti Koirala, Biplov Pandey, Subasish Das
https://arxiv.org/abs/2508.19239

Model Context Protocols in Adaptive Transport Systems: A Survey
The rapid expansion of interconnected devices, autonomous systems, and AI applications has created severe fragmentation in adaptive transport systems, where diverse protocols and context sources remain isolated. This survey provides the first systematic investigation of the Model Context Protocol (MCP) as a unifying paradigm, highlighting its ability to bridge protocol-level adaptation with context-aware decision making. Analyzing established literature, we show that existing efforts have impli…

Crystal Eye: all sky MeV monitor with high precision real-time localization
Roberto Aloisio, Uygar Atalay, Biswajit Banerjee, Felicia C. T. Barbato, Elisabetta Bissaldi, Marica Branchesi, Fiamma Capitanio, Elisabetta Casilli, Roberta Colalillo, Ivan De Mitri, Alessio De Santis, Adriano Di Giovanni, Mateo Fernandez Alonso, Giulio Fontanella, Fabio Gargano, Fabio Garufi, Fausto Guarino, Dimitrios Kyratzis, Herman Lima, Francesco Loparco, Francesco Longo, Riccardo Martinelli, Teresa Monta…

Crystal Eye: all sky MeV monitor with high precision real-time localization
Crystal Eye is a space-based all-sky monitor optimized for the autonomous detection and localization of transients in the 10 keV to 30 MeV energy range, a region where extensive observations and monitoring of various astrophysical phenomena are required. By focusing on the operating environment and its impact on the observation process, we optimized the detector design and assessed its scientific potential. We explored the use of novel techniques to achieve the science goals of the experiment. …

Day 8
TL;DR: Yesterday I took a break. Today I’m back – and permissions are under control :)
Spent the day designing a fine-grained permission model.
I now support 96 distinct permissions across 8 modules, 4 CRUD operations, and 3 scopes: self, group, global.
Three system roles bind these into meaningful sets:
admin: full global access (32 permissions)
supervisor: read self full group scope (32)
employee: read/update self only (16)
That's 80 rol…