Tootfinder

Setchain Algorithms for Blockchain Scalability
Arivarasan Karmegam, Gabina Luz Bianchi, Margarita Capretto, Mart\'in Ceresa, Antonio Fern\'andez Anta, C\'esar S\'anchez
https://arxiv.org/abs/2509.09795

Setchain Algorithms for Blockchain Scalability
Setchain has been proposed to increase blockchain scalability by relaxing the strict total order requirement among transactions. Setchain organizes elements into a sequence of sets, referred to as epochs, so that elements within each epoch are unordered. In this paper, we propose and evaluate three distinct Setchain algorithms, that leverage an underlying block-based ledger. Vanilla is a basic implementation that serves as a reference point. Compresschain aggregates elements into batches, and c…

Long Context Automated Essay Scoring with Language Models
Christopher Ormerod, Gitit Kehat
https://arxiv.org/abs/2509.10417 https://arxiv.org/pdf/2509.1041…

Long Context Automated Essay Scoring with Language Models
Transformer-based language models are architecturally constrained to process text of a fixed maximum length. Essays written by higher-grade students frequently exceed the maximum allowed length for many popular open-source models. A common approach to addressing this issue when using these models for Automated Essay Scoring is to truncate the input text. This raises serious validity concerns as it undermines the model's ability to fully capture and evaluate organizational elements of the scorin…

Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
Gang Chen, Guoxin Wang, Anton van Beek, Zhenjun Ming, Yan Yan
https://arxiv.org/abs/2508.09541

Emergence of Hierarchies in Multi-Agent Self-Organizing Systems Pursuing a Joint Objective
Multi-agent self-organizing systems (MASOS) exhibit key characteristics including scalability, adaptability, flexibility, and robustness, which have contributed to their extensive application across various fields. However, the self-organizing nature of MASOS also introduces elements of unpredictability in their emergent behaviors. This paper focuses on the emergence of dependency hierarchies during task execution, aiming to understand how such hierarchies arise from agents' collective pursuit …

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays
Nicola Anselmi, Paolo Rocca, Giovanni Toso, Andrea Massa
https://arxiv.org/abs/2508.09682 http…

A Divide-and-Conquer Tiling Method for the Design of Large Aperiodic Phased Arrays
Due to the growing request from modern wireless applications of cost-affordable and high-gain scanning antenna solutions, the design of large phased arrays (PAs) with radiating elements organized into modular clusters with sub-array-only amplitude and phase control is a key topic. In this paper, an innovative irregular tiling method is proposed where, according to a divide-and-conquer strategy, the antenna aperture is subdivided into sub-areas that are locally domino-tiled by jointly fulfilling…

AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
Hiroya Kato, Kentaro Kita, Kento Hasegawa, Seira Hidano
https://arxiv.org/abs/2508.08583

AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
As the social implementation of AI has been steadily progressing, research and development related to AI security has also been increasing. However, existing studies have been limited to organizing related techniques, attacks, defenses, and risks in terms of specific domains or AI elements. Thus, it extremely difficult to understand the relationships among them and how negative impacts on stakeholders are brought about. In this paper, we argue that the knowledge, technologies, and social impact…

Formation of organic hazes in CO$_2$-rich sub-Neptune atmospheres within the graphite-stability regime
Sai Wang, Zhengbo Yang, Chao He, Haixin Li, Yu Liu, Yingjian Wang, Xiao'ou Luo, Sarah E. Moran, Cara Pesciotta, Sarah M. H\"orst, Julianne I. Moses, V\'eronique Vuitton, Laur\`ene Flandinet
https://arxiv.org/abs/2508.05974

Formation of organic hazes in CO$_2$-rich sub-Neptune atmospheres within the graphite-stability regime
Super-Earths and sub-Neptunes are the most common exoplanets, with a "radius valley" suggesting that super-Earths may form by shedding sub-Neptunes' gaseous envelopes. Exoplanets that lie closer to the super-Earth side of the valley are more likely to have lost a significant fraction of their original H/He envelopes and become enriched in heavier elements with CO$_2$ gaining in abundance. It remains unclear which types of haze would form in such atmospheres, potentially significantly affecting …

How some news organizations are using AI models powered by retrieval-augmented generation to surface the most newsworthy elements from very large datasets (Josh Axelrod/Nieman Lab)
https://www.niemanlab.org/2025/08/the-good

The good, the bad, and the completely made-up: Newsrooms on wrestling accurate answers out of AI
"If we sit on the sideline and observe, I think the risk is too high that we are gonna be left behind."

At its core, #CCSignals is an attempt by Creative Commons, a Silicon Valley-based organisation, to legitimise the AI grifts of its donors – Google, Microsoft, and Meta (Zuckerberg).
Creative Commons was always a thinly-veiled attempt at enabling Big Tech data farmers to get more data (that’s why the whole “open data” realm is so well funded/popular – open as in “open for business” not fre…

Vanilla-Converter: A Tool for Converting Camunda 7 BPMN Models into Camunda 8 Models
Dragana Sunaric, Charlotte Verbruggen, Dominik Bork
https://arxiv.org/abs/2508.04352 https:/…

Vanilla-Converter: A Tool for Converting Camunda 7 BPMN Models into Camunda 8 Models
As organizations prepare for the end-of-life of Camunda 7, manual migration remains complex due to fundamental differences between the two platforms. We present Vanilla-Converter, a command-line tool that facilitates the migration of BPMN models from Camunda 7 to Camunda 8. Vanilla-Converter automates the transformation process, supports a wide range of BPMN elements, and produces a transformed model and a detailed transformation log indicating automatic changes and remaining manual conversion …

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection
Haywood Gelman, John D. Hastings, David Kenley
https://arxiv.org/abs/2509.06920 https://

An Ethically Grounded LLM-Based Approach to Insider Threat Synthesis and Detection
Insider threats are a growing organizational problem due to the complexity of identifying their technical and behavioral elements. A large research body is dedicated to the study of insider threats from technological, psychological, and educational perspectives. However, research in this domain has been generally dependent on datasets that are static and limited access which restricts the development of adaptive detection models. This study introduces a novel, ethically grounded approach that u…