Tootfinder

Disconnected large bifurcation supports and Cartesian products of bifurcations
Timur Bakiev, Yulij S. Ilyashenko
https://arxiv.org/abs/2510.07036 https://a…

Disconnected large bifurcation supports and Cartesian products of bifurcations
A bifurcation that occurs in a multiparameter family is a Cartesian product if it splits into two factors in the sense that one bifurcation takes place in one part of the phase portrait, another one -- in another part, and they are in a sense independent, do not interact with each other. To understand how a family bifurcates, it is sufficient to study it in a neighborhood of the so-called large bifurcation support. Given a family of vector fields on $S^2$ that unfolds a field $v_0$, the respect…

Bifurcation and Critical Phenomena in Black Hole Thermodynamics
Bidyut Hazarika, Prabwal Phukon
https://arxiv.org/abs/2509.07656 https://arxiv.org/pdf/2509…

Bifurcation and Critical Phenomena in Black Hole Thermodynamics
In this work, we treat black holes as bifurcation points and explore their thermodynamic phase structure using the framework of bifurcation theory which is a commonly used method from nonlinear dynamics. By constructing an appropriate bifurcating function, we analyze how black holes transition between different thermodynamic phases through changes in the number and stability of fixed points. Our study shows that stable fixed points correspond to thermodynamically stable black hole states, while…

Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
Iniakpokeikiye Peter Thompson, Yi Dewei, Reiter Ehud
https://arxiv.org/abs/2509.05358 …

Mobile Phone Sensor-based Nigerian Driving Dataset to Detect Alcohol-influenced Behaviours
This paper presents a unique driving dataset collected in Nigeria via mobile phone sensors to support a machine learning model for detecting alcohol-influenced driving behaviours, with the long-term aim of integrating this model into a mobile application that encourages safer driving behaviours. Driving under the influence of alcohol is a major public safety concern, particularly in low-income countries like Nigeria, where traditional enforcement mechanisms may be limited. The proposed model le…

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Ke Guo, Haochen Liu, Xiaojun Wu, Chen Lv
https://arxiv.org/abs/2510.06913

DecompGAIL: Learning Realistic Traffic Behaviors with Decomposed Multi-Agent Generative Adversarial Imitation Learning
Realistic traffic simulation is critical for the development of autonomous driving systems and urban mobility planning, yet existing imitation learning approaches often fail to model realistic traffic behaviors. Behavior cloning suffers from covariate shift, while Generative Adversarial Imitation Learning (GAIL) is notoriously unstable in multi-agent settings. We identify a key source of this instability: irrelevant interaction misguidance, where a discriminator penalizes an ego vehicle's reali…

🧲 Coffee fortified with iron—new microparticles can be added to food and beverages to fight malnutrition
... who'd a thought metal organic frameworks could be edible?
https://phys.org/news/2025-08-coffee-fortified-iron-microparticles-added.html

Coffee fortified with iron—new microparticles can be added to food and beverages to fight malnutrition
Around the world, about 2 billion people suffer from iron deficiency, which can lead to anemia, impaired brain development in children, and increased infant mortality.

https://www.theverge.com/notepad-microsoft-newsletter/754647/microsoft-grok-4-roll-out-private-preview-notepad?utm_content=buffer2ce4c&…

Microsoft is cautiously onboarding Grok 4 following Hitler concerns
Microsoft is taking a careful approach with rolling out Grok 4 on Azure AI Foundry. It’s working on a private preview for a handful of customers.

Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them
Jiahe Jin, Abhijay Paladugu, Chenyan Xiong
https://arxiv.org/abs/2510.06534 https://

Beneficial Reasoning Behaviors in Agentic Search and Effective Post-training to Obtain Them
Agentic search leverages large language models (LLMs) to interpret complex user information needs and execute a multi-step process of planning, searching, and synthesizing information to provide answers. This paradigm introduces unique challenges for LLMs' reasoning and agentic capabilities when interacting with retrieval systems and the broader web. In this paper, we propose a reasoning-driven LLM-based pipeline to study effective reasoning behavior patterns in agentic search. Using this pipel…

Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
Juan D. Gil, Ehecatl Antonio Del Rio Chanona, Jos\'e L. Guzm\'an, Manuel Berenguel
https://arxiv.org/abs/2509.06853

Reinforcement learning meets bioprocess control through behaviour cloning: Real-world deployment in an industrial photobioreactor
The inherent complexity of living cells as production units creates major challenges for maintaining stable and optimal bioprocess conditions, especially in open Photobioreactors (PBRs) exposed to fluctuating environments. To address this, we propose a Reinforcement Learning (RL) control approach, combined with Behavior Cloning (BC), for pH regulation in open PBR systems. This represents, to the best of our knowledge, the first application of an RL-based control strategy to such a nonlinear and…

Bioverse: Assessing the Ability of Direct Imaging Surveys to Empirically Constrain the Habitable Zone via Trends in Albedo
Noah W. Tuchow, Christopher C. Stark, Daniel Apai, Martin Schlecker, Kevin K. Hardegree-Ullman
https://arxiv.org/abs/2509.07297

Bioverse: Assessing the Ability of Direct Imaging Surveys to Empirically Constrain the Habitable Zone via Trends in Albedo
Will future direct imaging missions such as NASA's upcoming Habitable Worlds Observatory (HWO) be able to understand Earth-sized planets as a population? In this study, we simulate the ability of space-based coronagraphy missions to uncover trends in planetary albedo as a function of instellation, and potentially constrain the boundaries of the habitable zone. We adapt the Bioverse statistical comparative planetology framework to simulate the scientific output of possible designs for HWO. With …

Robust and Efficient Collaborative Learning
Abdellah El Mrini, Sadegh Farhadkhan, Rachid Guerraoui
https://arxiv.org/abs/2510.08311 https://arxiv.org/pdf/2…

Robust and Efficient Collaborative Learning
Collaborative machine learning is challenged by training-time adversarial behaviors. Existing approaches to tolerate such behaviors either rely on a central server or induce high communication costs. We propose Robust Pull-based Epidemic Learning (RPEL), a novel, scalable collaborative approach to ensure robust learning despite adversaries. RPEL does not rely on any central server and, unlike traditional methods, where communication costs grow in $\mathcal{O}(n^2)$ with the number of nodes $n$,…