Tootfinder

Sources and docs: a Russia-based Yandex employee maintains open-source tool fast-glob, embedded in 30 US DOD software packages and downloaded 70M times per week (David DiMolfetta/Nextgov/FCW)
https://www.nextgov.com/cybersecurity/2025…

Report: Russia-based Yandex employee oversees open-source software approved for DOD use
The package is listed inside Platform One’s Iron Bank, a vetted Defense Department software repository, people familiar say.

Several Hotels and Resorts in the Philippines Commit to Making Their Menus 30% Plant-Based https://vegconomist.com/gastronomy-food-service/food-service/hotels-resorts-the-philippines-commit-making-menus-30-plant-based/…

Several Hotels and Resorts in the Philippines Commit to Making Their Menus 30% Plant-Based - vegconomist - the vegan business magazine
According to Inside Asian Gaming, Winford Resort & Casino Manila is the first gaming complex in the Philippines to commit to making 30% of its menu plant-based.

Aydogan Ozcan at the University of California, Los Angeles, and his colleagues have developed a diffusion-based
image generator that works using a beam of light.
While the encoding process is digital, requiring a small amount of energy,
the decoding process is entirely light-based, requiring no computational power.
“Unlike digital diffusion models that require hundreds to thousands of iterative steps,
this process achieves image generation in a snapshot,
…

Light-based AI image generator uses almost no power
A system that generates images by inducing random fluctuations in a laser beam could slash energy use compared with standard AI tools

Acoustic-based Gender Differentiation in Speech-aware Language Models
Junhyuk Choi, Jihwan Seol, Nayeon Kim, Chanhee Cho, EunBin Cho, Bugeun Kim
https://arxiv.org/abs/2509.21125

Acoustic-based Gender Differentiation in Speech-aware Language Models
Speech-aware Language Models (SpeechLMs) have fundamentally transformed human-AI interaction by enabling voice-based communication, yet they may exhibit acoustic-based gender differentiation where identical questions lead to different responses based on the speaker's gender. This paper propose a new dataset that enables systematic analysis of this phenomenon, containing 9,208 speech samples across three categories: Gender-Independent, Gender-Stereotypical, and Gender-Dependent. We further evalu…

social_location: Location-based social networks
Two location-based online social networks, where nodes are accounts and edges are declared friendships. Networks includes checkins by these users.
This network has 58228 nodes and 428156 edges.
Tags: Social, Online, Spatial
https://networks.skewed…

A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
Hamid Varmazyari, Masoud H. Nazari
https://arxiv.org/abs/2508.18500

A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
This paper presents a machine-learning based Stochastic Hybrid System (SHS) modeling framework to detect contingencies in active distribution networks populated with inverter-based resources (IBRs). In particular, this framework allows detecting unobservable contingencies, which cannot be identified by normal sensing systems. First, a state-space SHS model combining conventional and IRB-based resources is introduced to formulate the dynamic interaction between continuous states of distribution …

Strudel's audio engine is SuperDough (2023) mostly by @…, which is based on SuperDirt (2015) mostly by @…, which is based on 'dirt' a sampler made by me and originally called 'datadirt' (2005), but very heavily based on MSG (2…

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
Ping He, Changjiang Li, Binbin Zhao, Tianyu Du, Shouling Ji
https://arxiv.org/abs/2509.21011 https://

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
The remarkable capability of large language models (LLMs) has led to the wide application of LLM-based agents in various domains. To standardize interactions between LLM-based agents and their environments, model context protocol (MCP) tools have become the de facto standard and are now widely integrated into these agents. However, the incorporation of MCP tools introduces the risk of tool poisoning attacks, which can manipulate the behavior of LLM-based agents. Although previous studies have i…

Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error Correction
Yilin Li, Xunjian Yin, Yilin Chen, Xiaojun Wan
https://arxiv.org/abs/2508.18780 https://…

Harnessing Rule-Based Reinforcement Learning for Enhanced Grammatical Error Correction
Grammatical error correction is a significant task in NLP. Traditional methods based on encoder-decoder models have achieved certain success, but the application of LLMs in this field is still underexplored. Current research predominantly relies on supervised fine-tuning to train LLMs to directly generate the corrected sentence, which limits the model's powerful reasoning ability. To address this limitation, we propose a novel framework based on Rule-Based RL. Through experiments on the Chinese…

An Efficient Recommendation Filtering-based Trust Model for Securing Internet of Things
Muhammad Ibn Ziauddin, Rownak Rahad Rabbi, SM Mehrab, Fardin Faiyaz, Mosarrat Jahan
https://arxiv.org/abs/2508.17304

An Efficient Recommendation Filtering-based Trust Model for Securing Internet of Things
Trust computation is crucial for ensuring the security of the Internet of Things (IoT). However, current trust-based mechanisms for IoT have limitations that impact data security. Sliding window-based trust schemes cannot ensure reliable trust computation due to their inability to select appropriate window lengths. Besides, recent trust scores are emphasized when considering the effect of time on trust. This can cause a sudden change in overall trust score based on recent behavior, potentially …