Tootfinder

A researcher says 245 extensions on nearly 1M devices are overriding security protections to turn browsers into engines that scrape websites for a paid service (Dan Goodin/Ars Technica)
https://arstechnica.com/security/2025/

Browser extensions turn nearly 1 million browsers into website-scraping bots
Extensions load unknown sites into invisible Windows. What could go wrong?

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Finnish Radio Symphony Orchestra, Einojuhani Rautavaara & Jukka-Pekka Saraste:
🎵 Cantus Arcticus, Concerto for Birds and Orchestra, Op 61
#FinnishRadioSymphonyOrchestra
https://open.spotify.com/track/3ryT15phJFTVALfbF4bEuV

MSLEF: Multi-Segment LLM Ensemble Finetuning in Recruitment
Omar Walid, Mohamed T. Younes, Khaled Shaban, Mai Hassan, Ali Hamdi
https://arxiv.org/abs/2509.06200 https://

MSLEF: Multi-Segment LLM Ensemble Finetuning in Recruitment
This paper presents MSLEF, a multi-segment ensemble framework that employs LLM fine-tuning to enhance resume parsing in recruitment automation. It integrates fine-tuned Large Language Models (LLMs) using weighted voting, with each model specializing in a specific resume segment to boost accuracy. Building on MLAR , MSLEF introduces a segment-aware architecture that leverages field-specific weighting tailored to each resume part, effectively overcoming the limitations of single-model systems by …

#Algiers

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Diego Fajardo-Rojas, Levente Baljer, Jordina Aviles Verdera, Megan Hall, Daniel Cromb, Mary A. Rutherford, Lisa Story, Emma C. Robinson, Jana Hutter
https://arxiv.org/abs/2509.07042

PUUMA (Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk
Preterm birth is a major cause of mortality and lifelong morbidity in childhood. Its complex and multifactorial origins limit the effectiveness of current clinical predictors and impede optimal care. In this study, a dual-branch deep learning architecture (PUUMA) was developed to predict gestational age (GA) at birth using T2* fetal MRI data from 295 pregnancies, encompassing a heterogeneous and imbalanced population. The model integrates both global whole-uterus and local placental features. I…

UniSearch: Rethinking Search System with a Unified Generative Architecture
Jiahui Chen, Xiaoze Jiang, Zhibo Wang, Quanzhi Zhu, Junyao Zhao, Feng Hu, Kang Pan, Ao Xie, Maohua Pei, Zhiheng Qin, Hongjing Zhang, Zhixin Zhai, Xiaobo Guo, Runbin Zhou, Kefeng Wang, Mingyang Geng, Cheng Chen, Jingshan Lv, Yupeng Huang, Xiao Liang, Han Li
https://a…

UniSearch: Rethinking Search System with a Unified Generative Architecture
Modern search systems play a crucial role in facilitating information acquisition. Traditional search engines typically rely on a cascaded architecture, where results are retrieved through recall, pre-ranking, and ranking stages. The complexity of designing and maintaining multiple modules makes it difficult to achieve holistic performance gains. Recent advances in generative recommendation have motivated the exploration of unified generative search as an alternative. However, existing approach…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new
[1/1]:
- RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration
Zhao, Natarajan, Buonanno, Gajjar, Roth, Serebryakov, Moon, Ignowski, Pedretti

BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization
Wenyang Jia, Jingjing Wang, Ziwei Yan, Xiangli Peng, Guohui Yuan
https://arxiv.org/abs/2510.08139

BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization
The scalability of blockchain systems is constrained by inefficient P2P broadcasting, as most existing optimizations focus only on the logical layer without considering physical network conditions. To address this, we propose BlockSDN, the first SDN-based integrated architecture for blockchain. BlockSDN employs a distributed control plane for a global network view, a graph engine for hierarchical clustering, and a hybrid macro-micro neighbor selection with hierarchical broadcasting. A dedicated…

HECATE: An ECS-based Framework for Teaching and Developing Multi-Agent Systems
Arthur Casals, Anarosa A. F. Brand\~ao
https://arxiv.org/abs/2509.06431 https://

HECATE: An ECS-based Framework for Teaching and Developing Multi-Agent Systems
This paper introduces HECATE, a novel framework based on the Entity-Component-System (ECS) architectural pattern that bridges the gap between distributed systems engineering and MAS development. HECATE is built using the Entity-Component-System architectural pattern, leveraging data-oriented design to implement multiagent systems. This approach involves engineering multiagent systems (MAS) from a distributed systems (DS) perspective, integrating agent concepts directly into the DS domain. This …