Tootfinder

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 …

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…

Examining the evolution of phase-space elements for $\textit{C.elegans}$ locomotion
Dimitrios Tzepos, Jenny Magnes
https://arxiv.org/abs/2509.06137 https://

Examining the evolution of phase-space elements for $\textit{C.elegans}$ locomotion
The $\textit{Caenorhabditis Elegans}$ ($\textit{C.elegans}$) nematodes have long been a model organism for quantitative behavioral analysis, due to their tractable nervous system and well-characterized genetics. In particular, dynamic diffraction has been a successful method of studying said microorganisms due to its low level of noise and the ability to simultaneously study multiple degrees of freedom of their neuromuscular system through their locomotion. In this study, we estimate the Lyapun…

Series B, Episode 06 - Trial
AVON: Define alive. All planets are by some definition.
ORAC: I am not referring to a complex ecosystem. I refer to a single organism. A planetary life form. Fascinating, don't you think?
VILA: I doubt if Blake does.
https://blake.torpidity.net/m/206/346

Moody Urbanity 🟩
情绪化城市 🟩
📷 Nikon FE
🎞️ Lucky SHD 400
#filmphotography #Photography #blackandwhite

Punk gegen Gift: Widerstand in der „Hauptstadt des Arsens"
In Rouyn-Noranda, Québec, ist die Arsenkonzentration in der Luft durchschnittlich fünfmal höher als in der übrigen Provinz. Angesichts der Gefahren dieses krebserregenden Elements ist die Reaktion der Behörden nach Ansicht mehrerer Organisationen unzulänglich. […]
📺 https://www.

MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues
Weishu Chen, Jinyi Tang, Zhouhui Hou, Shihao Han, Mingjie Zhan, Zhiyuan Huang, Delong Liu, Jiawei Guo, Zhicheng Zhao, Fei Su
https://arxiv.org/abs/2509.11860

MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues
Memory extraction is crucial for maintaining coherent ultra-long dialogues in human-robot role-playing scenarios. However, existing methods often exhibit uncontrolled memory growth. To address this, we propose MOOM, the first dual-branch memory plugin that leverages literary theory by modeling plot development and character portrayal as core storytelling elements. Specifically, one branch summarizes plot conflicts across multiple time scales, while the other extracts the user's character profil…

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…

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 …

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…