Tootfinder

Formation process of young stellar population in Messier 16 from a kinematic perspective
Beomdu Lim, Hyeong-Sik Yun, Hyun-Jeong Kim, Yuna Lee, Jae-Rim Koo, Jongsuk Hong, Heeyoung Oh
https://arxiv.org/abs/2508.08666

Formation process of young stellar population in Messier 16 from a kinematic perspective
We present a kinematic study of young stars in Messier 16 (M16) using the Gaia Data Release 3 and high-resolution spectra. A total of 345 stars are selected as genuine members using the published lists of X-ray, infrared sources, and early-type stars as well as the Gaia data. There is severe differential reddening across this region and the reddening law of the intracluster medium appears abnormal. The distance to M16, derived from the parallaxes of the members, is about 1.7 kpc. The ages of me…

RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation
Ashish Kattamuri, Harshwardhan Fartale, Arpita Vats, Rahul Raja, Ishita Prasad
https://arxiv.org/abs/2510.08931

RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation
Data contamination poses a significant challenge to reliable LLM evaluation, where models may achieve high performance by memorizing training data rather than demonstrating genuine reasoning capabilities. We introduce RADAR (Recall vs. Reasoning Detection through Activation Representation), a novel framework that leverages mechanistic interpretability to detect contamination by distinguishing recall-based from reasoning-based model responses. RADAR extracts 37 features spanning surface-level co…

Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
Liam Pram, Fabio Morreale
https://arxiv.org/abs/2508.08805 https://arxiv.org…

Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
AI systems for music generation are increasingly common and easy to use, granting people without any musical background the ability to create music. Because of this, generative-AI has been marketed and celebrated as a means of democratizing music making. However, inclusivity often functions as marketable rhetoric rather than a genuine guiding principle in these industry settings. In this paper, we look at four generative-AI music making systems available to the public as of mid-2025 (AIVA, Stab…

Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures
Siddharth Shah, Amit Gupta, Aarav Mann, Alexandre Vaz, Benjamin E. Caldwell, Robert Scholz, Peter Awad, Rocky Allemandi, Doug Faust, Harshita Banka, Tony Rousmaniere
https://arxiv.org/abs/2509.08839

Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures
As large language models (LLMs) increasingly mediate emotionally sensitive conversations, especially in mental health contexts, their ability to recognize and respond to high-risk situations becomes a matter of public safety. This study evaluates the responses of six popular LLMs (Claude, Gemini, Deepseek, ChatGPT, Grok 3, and LLAMA) to user prompts simulating crisis-level mental health disclosures. Drawing on a coding framework developed by licensed clinicians, five safety-oriented behaviors w…

D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics
Tiancheng Yang, Lin Zhang, Jiaye Lin, Guimin Hu, Di Wang, Lijie Hu
https://arxiv.org/abs/2509.07864

D-LEAF: Localizing and Correcting Hallucinations in Multimodal LLMs via Layer-to-head Attention Diagnostics
Multimodal Large Language Models (MLLMs) achieve strong performance on tasks like image captioning and visual question answering, but remain prone to hallucinations, where generated text conflicts with the visual input. Prior work links this partly to insufficient visual attention, but existing attention-based detectors and mitigation typically apply uniform adjustments across layers and heads, obscuring where errors originate. In this paper, we first show these methods fail to accurately local…

I already have a deeply-trained deterministic expert system using carbon-based storage and processing which gives me the answer provided by a LLM ('the commands to run to get an answer') in an instant.
It even knows not to tell me 'netstat' when I'm on a FreeBSD box. https://infosec.exchange/…

Prompt Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous
#security #llm
https://arxiv.org/abs/2508.12175

Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances
Geng Sun, Chenbang Liu, Jiahui Li, Guannan Qu, Shuang Liang, Jiacheng Wang, Changyuan Zhao, Dusit Niyato
https://arxiv.org/abs/2507.08507

Recovery of UAV Swarm-enabled Collaborative Beamforming in Low-altitude Wireless Networks under Wind Field Disturbances
Unmanned aerial vehicle (UAV) swarms utilizing collaborative beamforming (CB) in low-altitude wireless networks (LAWN) demonstrate significant potential for enhanced communication range, energy efficiency, and signal directivity through the formation of virtual antenna arrays (VAA). However, environmental disturbances, particularly wind fields, significantly degrade CB performance by introducing positional errors that disrupt beam patterns, thereby compromising transmission reliability. This pa…

Oh boy, don't miss today's Metacurity for the most critical infosec developments you should know, including
--Second major security issue in the Tea app exposed user messages,
--Aeroflot canceled more flights due to a cyberattack but claims it has stabilized,
--Global Group claims attacks on media giants RTÉ and Albavisión,
--Flaw in Gemini Command Line Interface allowed RCE,
--Malware was hidden in Endgame Gear peripherals,
--Senate to take up Pla…

Second major security issue in the Tea app exposed user messages
Aeroflot canceled more flights due to a cyberattack but claims it has stabilized, Global Group claims attacks on media giants RTÉ and Albavisión, Flaw in Gemini Command Line Interface allowed RCE, Malware was hidden in Endgame Gear peripherals, Senate to take up Plankey nom, much more

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
Haoyang Gui, Thales Bertaglia, Taylor Annabell, Catalina Goanta, Tjomme Dooper, Gerasimos Spanakis
https://arxiv.org/abs/2510.08111

Evaluating LLM-Generated Legal Explanations for Regulatory Compliance in Social Media Influencer Marketing
The rise of influencer marketing has blurred boundaries between organic content and sponsored content, making the enforcement of legal rules relating to transparency challenging. Effective regulation requires applying legal knowledge with a clear purpose and reason, yet current detection methods of undisclosed sponsored content generally lack legal grounding or operate as opaque "black boxes". Using 1,143 Instagram posts, we compare gpt-5-nano and gemini-2.5-flash-lite under three prompting str…