Tootfinder

Amazon rolls out Alexa on the Amazon Music app on iOS and Android, letting Alexa Early Access users request obscure information or complex recommendations (Jess Weatherbed/The Verge)
https://www.theverge.com/news/813102/amazon-music-alexa-plus-ai-integration

Amazon is building Alexa Plus into its Music app
The AI assistant can make nuanced song recommendations and build you a vibe-based playlist.

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
Motunrayo Adebayo
https://arxiv.org/abs/2509.00006

Case Studies: Effective Approaches for Navigating Cross-Border Cloud Data Transfers Amid U.S. Government Privacy and Safety Concerns
This study attempts to explain the impact of information exchange from one country to another, as well as the legal and technological implications for these exchanges. Due to the emergence of cloud technology, possibilities for free exchange of information between countries have increased rapidly, as it has become possible to save information in a country and access it in almost any part of the world. Countries all around the world have been confronted with developing frameworks to facilitate t…

An app just ask permission to access my phone information. WTF? Why do you need that? My answer is NO.
Contact app, phone app are the two I allow that access, no one else needs that.

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Saurab Chhachhi, Fei Teng
https://arxiv.org/abs/2509.00101 https://arxiv.org…

Privacy, Informed Consent and the Demand for Anonymisation of Smart Meter Data
Access to smart meter data offers system-wide benefits but raises significant privacy concerns due to the personal information it contains. Privacy-preserving techniques could facilitate wider access, though they introduce privacy-utility trade-offs. Understanding consumer valuations for anonymisation can help identify appropriate trade-offs. However, existing studies do not focus on anonymisation specifically or account for information asymmetries regarding privacy risks, raising questions abo…

Amazon rolls out Alexa on the Amazon Music app on iOS and Android, letting Alexa Early Access users request obscure information or complex recommendations (Jess Weatherbed/The Verge)
https://www.theverge.com/news/813102/amazon-music-alexa-plus-ai-integration

Amazon is building Alexa Plus into its Music app
The AI assistant can make nuanced song recommendations and build you a vibe-based playlist.

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Xuchen Li, Xuzhao Li, Jiahui Gao, Renjie Pi, Shiyu Hu, Wentao Zhang
https://arxiv.org/abs/2510.01681 https:…

Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Vision-Language Models (VLMs) excel at many multimodal tasks, yet they frequently struggle with tasks requiring precise understanding and handling of fine-grained visual elements. This is mainly due to information loss during image encoding or insufficient attention to critical regions. Recent work has shown promise by incorporating pixel-level visual information into the reasoning process, enabling VLMs to access high-resolution visual details during their thought process. However, this pixel-…

Imgur has started blocking access to its site from UK users after the Information Commissioner’s Office (ICO) threatened to fine the company over its advertising and data collection policies.
https://www.computing.co.uk/news/2025/legi

Imgur shuts down website to UK users over threat of fines from the ICO
Imgur has started blocking access to its site from UK users after the Information Commissioner’s Office (ICO) threatened to fine the company over its advertising ...

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
Thai-Hoc Vu, Anh-Tu Le, Ngo Hoang Tu, Tan N. Nguyen, Miroslav Voznak
https://arxiv.org/abs/2509.01935

On Performance of IoT Networks with Coordinated NOMA Transmission: Covert Monitoring and Information Decoding
This work investigates the covertness and security performance of Internet-of-Things (IoTs) networks under Rayleigh fading environments. Specifically, a cellular source transmits covert information to cell-edge users with the assistance of an IoT master node, employing a coordinated direct and relay transmission strategy combined with non-orthogonal multiple access (NOMA). This approach not only enhances spectrum utilization but also generates friendly interference to complicate a warden's surv…

From One-Dimensional Codes to Two-Dimensional Codes: A Universal Framework for the Bounded-Weight Constraint
Viet Hai Le, Thanh Phong Pham, Tuan Thanh Nguyen, Kui Cai, Kees A. Schouhamer Immink
https://arxiv.org/abs/2509.01240

From One-Dimensional Codes to Two-Dimensional Codes: A Universal Framework for the Bounded-Weight Constraint
Recent developments in storage- especially in the area of resistive random access memory (ReRAM)- are attempting to scale the storage density by regarding the information data as two-dimensional (2D), instead of one-dimensional (1D). Correspondingly, new types of 2D constraints are introduced into the input information data to improve the system reliability. While 1D constraints have been extensively investigated in the literature, the study for 2D constraints is much less profound. Particularl…

Credit reporting giant TransUnion has disclosed a data breach
affecting more than 4.4 million customers’ personal information.
In a filing with Maine’s attorney general’s office on Thursday, TransUnion attributed the July 28 breach to unauthorized access of a third-party application storing customers’ personal data for its U.S. consumer support operations.
TransUnion claimed “no credit information was accessed,” but provided no immediate evidence for its claim.
The d…

TransUnion says hackers stole 4.4 million customers' personal information | TechCrunch
The credit reporting giant confirmed unauthorized access to a third-party application storing the personal information of its customers, including Social Security numbers.

Access to Kupyansk closed, residents evacuate on foot: https://benborges.xyz/2025/09/28/access-to-kupyansk-closed-residents.html

The Crackdown on ICE Spotting Apps (with Joshua Aaron) https://www.404media.co/the-crackdown-on-ice-spotting-apps-with-joshua-aaron/

Synthetic generation of online social networks through homophily
Alejandro Buitrago L\'opez, Javier Pastor-Galindo, Jos\'e A. Ruip\'erez-Valiente
https://arxiv.org/abs/2509.02762

Synthetic generation of online social networks through homophily
Online social networks (OSNs) have become increasingly relevant for studying social behavior and information diffusion. Nevertheless, they are limited by restricted access to real OSN data due to privacy, legal, and platform-related constraints. In response, synthetic social networks serve as a viable approach to support controlled experimentation, but current generators reproduce only topology and overlook attribute-driven homophily and semantic realism. This work proposes a homophily-based …

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Stephen Meisenbacher, Svetlozar Nestorov, Peter Norlander
https://arxiv.org/abs/2510.01470

Extracting O*NET Features from the NLx Corpus to Build Public Use Aggregate Labor Market Data
Data from online job postings are difficult to access and are not built in a standard or transparent manner. Data included in the standard taxonomy and occupational information database (O*NET) are updated infrequently and based on small survey samples. We adopt O*NET as a framework for building natural language processing tools that extract structured information from job postings. We publish the Job Ad Analysis Toolkit (JAAT), a collection of open-source tools built for this purpose, and demo…

maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data
Jonas W\"urzinger, Joshiwa van Marrewijk, Thomas W. Morris, Richard Fuchs, Tony Mroczkowski, Lukas Heinrich
https://arxiv.org/abs/2509.01600

maria goes NIFTy: Gaussian Process-Based Reconstruction and Denoising of Simulated (Sub-)Millimetre Single-Dish Telescope Data
(Sub-)millimetre single-dish telescopes feature faster mapping speeds and access larger spatial scales than their interferometric counterparts. However, atmospheric fluctuations tend to dominate their signals and complicate recovery of the astronomical sky. Here we develop a framework for Gaussian process-based sky reconstruction and separation of the atmospheric emission from the astronomical signal based on Numerical Information Field Theory (\texttt{NIFTy}). To validate this novel approach, …

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
Fran\c{c}ois Ledoyen, Ga\"el Dias, Jeremie Pantin, Alexis Lechervy, Fabrice Maurel, Youssef Chahir
https://arxiv.org/abs/2510.00662

Facilitating Cognitive Accessibility with LLMs: A Multi-Task Approach to Easy-to-Read Text Generation
Simplifying complex texts is essential for ensuring equitable access to information, especially for individuals with cognitive impairments. The Easy-to-Read (ETR) initiative offers a framework for making content accessible to the neurodivergent population, but the manual creation of such texts remains time-consuming and resource-intensive. In this work, we investigate the potential of large language models (LLMs) to automate the generation of ETR content. To address the scarcity of aligned corp…

Filing: credit reporting giant TransUnion discloses a data breach affecting 4.4M customers' personal info but claims "no credit information was accessed" (Zack Whittaker/TechCrunch)
https://techcrunch.com/2025/08/28/tran

TransUnion says hackers stole 4.4 million customers' personal information | TechCrunch
The credit reporting giant confirmed unauthorized access to a third-party application storing the personal information of its customers.

Bandits roaming Hilbert space
Josep Lumbreras
https://arxiv.org/abs/2509.24569 https://arxiv.org/pdf/2509.24569

Bandits roaming Hilbert space
This thesis studies the exploration and exploitation trade-off in online learning of properties of quantum states using multi-armed bandits. Given streaming access to an unknown quantum state, in each round we select an observable from a set of actions to maximize its expectation value. Using past information, we refine actions to minimize regret; the cumulative gap between current reward and the maximum possible. We derive information-theoretic lower bounds and optimal strategies with matching…

Clarification as Supervision: Reinforcement Learning for Vision-Language Interfaces
John Gkountouras, Ivan Titov
https://arxiv.org/abs/2509.26594 https://a…

Clarification as Supervision: Reinforcement Learning for Vision-Language Interfaces
Recent text-only models demonstrate remarkable mathematical reasoning capabilities. Extending these to visual domains requires vision-language models to translate images into text descriptions. However, current models, trained to produce captions for human readers, often omit the precise details that reasoning systems require. This creates an interface mismatch: reasoners often fail not due to reasoning limitations but because they lack access to critical visual information. We propose Adaptive…

Estimating the Empowerment of Language Model Agents
Jinyeop Song, Jeff Gore, Max Kleiman-Weiner
https://arxiv.org/abs/2509.22504 https://arxiv.org/pdf/2509…

Estimating the Empowerment of Language Model Agents
As language model (LM) agents become more capable and gain broader access to real-world tools, there is a growing need for scalable evaluation frameworks of agentic capability. However, conventional benchmark-centric evaluations are costly to design and require human designers to come up with valid tasks that translate into insights about general model capabilities. In this work, we propose information-theoretic evaluation based on empowerment, the mutual information between an agent's actions …

Morae: Proactively Pausing UI Agents for User Choices
Yi-Hao Peng, Dingzeyu Li, Jeffrey P. Bigham, Amy Pavel
https://arxiv.org/abs/2508.21456 https://arxiv…

Morae: Proactively Pausing UI Agents for User Choices
User interface (UI) agents promise to make inaccessible or complex UIs easier to access for blind and low-vision (BLV) users. However, current UI agents typically perform tasks end-to-end without involving users in critical choices or making them aware of important contextual information, thus reducing user agency. For example, in our field study, a BLV participant asked to buy the cheapest available sparkling water, and the agent automatically chose one from several equally priced options, wit…

APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
Hua Zhong, Shan Jiang, Sarfraz Khurshid
https://arxiv.org/abs/2509.25196 https://

APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
APIs are central to modern software development, yet composing new APIs from large libraries is difficult due to the exponential search space; traditional component-based synthesis relies on costly exploration and hand-crafted specifications. While large language models (LLMs) can generate implementations from natural language, hallucinations and limited access to up-to-date contextual information often yield incorrect code. In this paper, we present APRIL, an approach that combines LLM-based s…

Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
Ziyi Liu, Sidi Wu, Lorenz Hurni
https://arxiv.org/abs/2508.21491

Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
Recent advances have enabled the extraction of vectorized features from digital historical maps. To fully leverage this information, however, the extracted features must be organized in a structured and meaningful way that supports efficient access and use. One promising approach is question answering (QA), which allows users -- especially those unfamiliar with database query languages -- to retrieve knowledge in a natural and intuitive manner. In this project, we developed a GeoQA system by in…

MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
Jinlan Fu, Shenzhen Huangfu, Hao Fei, Yichong Huang, Xiaoyu Shen, Xipeng Qiu, See-Kiong Ng
https://arxiv.org/abs/2510.00647

MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
The alt-text generation task produces concise, context-relevant descriptions of images, enabling blind and low-vision users to access online images. Despite the capabilities of large vision-language models, alt-text generation performance remains limited due to noisy user annotations, inconsistent standards, and MLLMs' insensitivity to contextual information. Previous efforts to fine-tune MLLMs using supervised fine-tuning (SFT) have struggled, as SFT relies on accurate target annotations, whic…

I have discovered that the Amazon Fire Stick with Fire OS 5 if I disable the launcher and install custom launcher I loose access to the settings. I don't think there are many things i can do in the settings anyway but I can at least see my storage information.
It just stupid that its tied to the stock ad launcher.
Amazon devices might be the worst android

Noise-Domain Non-Orthogonal Multiple Access for Three Users
Erkin Yapici, Yusuf Islam Tek, Ertugrul Basar
https://arxiv.org/abs/2509.23407 https://arxiv.or…

Noise-Domain Non-Orthogonal Multiple Access for Three Users
In this study, we propose a novel three-user noise-domain non-orthogonal multiple access (ND-NOMA) scheme by introducing the correlation as a new dimension besides mean and variance quantities used in two-user ND-NOMA. The new three-user ND-NOMA scheme includes both uplink and downlink scenarios, with detectors designed to decode the information embedded in mean, variance, and correlation. Our theoretical analysis and simulation results under Rician fading channels show that the proposed system…

T-duality and bosonization as examples of continuum gauging and disentangling
Gertian Roose, Erez Zohar
https://arxiv.org/abs/2509.24630 https://arxiv.org/…

T-duality and bosonization as examples of continuum gauging and disentangling
Dualities and duality transformations form a well established methodology in various aspects of quantum many body physics and quantum field theories, allowing one to exploit equivalence between models which may naively seem completely different in order to gain access to further physical regimes, either analytically, numerically or experimentally. Recently, in the context of condensed matter physics and quantum information, it was shown that dualities can be understood very well through a gaugi…

The destruction of our country has gone even faster than I had known as El Cheeto makes us bend even more to our corporate, especially AI corporate, masters who want to access all data, all information, everywhere and anywhere, without permission and without paying anything.
"The May Massacre: Firings, AI, and Constitutional Crisis at the Copyright Office"

The May Massacre: Firings, AI, and Constitutional Crisis at the Copyright Office (via Passle)
These are extraordinary times. And this is an extraordinary case. In 2020, Shira Perlmutter was appointed Register of Copyrights by Dr. Carla D. Hayden,...

"Further, outdated rules on the use of cookies and other tracking technologies are still governing the protection of the user’s terminal equipment and the access and collection to information from user’s terminal equipment. This requires pragmatic and immediate clarifications to limit consent fatigue, provide legal clarity on rightful access and processing, and enhanced data availability to businesses."
My fatigue stems more from politics leaving their citizens alone...

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Fran\c{c}ois Ledoyen, Ga\"el Dias, Alexis Lechervy, Jeremie Pantin, Fabrice Maurel, Youssef Chahir, Elisa Gouzonnat, M\'elanie Berthelot, Stanislas Moravac, Armony Altinier, Amy Khairalla
https://arxiv.org/abs/2510.00691

Inclusive Easy-to-Read Generation for Individuals with Cognitive Impairments
Ensuring accessibility for individuals with cognitive impairments is essential for autonomy, self-determination, and full citizenship. However, manual Easy-to-Read (ETR) text adaptations are slow, costly, and difficult to scale, limiting access to crucial information in healthcare, education, and civic life. AI-driven ETR generation offers a scalable solution but faces key challenges, including dataset scarcity, domain adaptation, and balancing lightweight learning of Large Language Models (LLM…

NGOs urge Zelensky to veto bill restricting access to real estate registers: https://benborges.xyz/2025/08/26/ngos-urge-zelensky-to-veto.html

Electrical Readout of Spin Environments in Diamond for Quantum Sensing
Olga Rubinas, Michael Petrov, Emilie Bourgeois, Jaroslav Hruby, Akhil Kuriakose, Ottavia Jedrkiewicz, Milos Nesladek
https://arxiv.org/abs/2509.26570

Electrical Readout of Spin Environments in Diamond for Quantum Sensing
Nitrogen-vacancy (NV) centres in diamond are a key platform for quantum sensing and quantum information, combining long coherence times with controllable spin-spin interactions. Most of current quantum algorithms rely on optical access, which limit device integration and applicability in opaque or miniaturized settings. Here we demonstrate an all-electrical approach, photocurrent double electron-electron resonance (PC-DEER), permitting exploiting local dipolar interactions between individual NV…

Arbitrary Total Angular Momentum Vectorial Holography Using Bi-Layer Metasurfaces
Joonkyo Jung, Hyeonhee Kim, Jonghwa Shin
https://arxiv.org/abs/2509.24139 https://

Arbitrary Total Angular Momentum Vectorial Holography Using Bi-Layer Metasurfaces
Advanced holographic techniques are increasingly demanded for high-capacity and secure information processing. In this context, orbital angular momentum (OAM) stands out as a powerful resource for optical multiplexing, offering access to an unbounded set of orthogonal modes. To harness this potential, metasurfaces, with their considerable ability to control light, have emerged as key platforms for OAM-multiplexed holography. Nevertheless, conventional OAM holography suffers from limited polariz…

Model fine-tuning without compromising information access controls.
"Copilot Tuning" attaches fine-tuning datasets to LLMs while respecting your permissions. See how:
youtu.be/6udJzJAyT5I
#CopilotTuning #copilot

Pentagon To Reporters: Publish Approved Information Or Lose Access https://thedissenter.org/pentagon-to-reporters-publish-approved-information-or-lose-access/

Bridging Technical Capability and User Accessibility: Off-grid Civilian Emergency Communication
Karim Khamaisi, Oliver Kamer, Bruno Rodrigues, Jan von der Assen, Burkhard Stiller
https://arxiv.org/abs/2509.22568

Bridging Technical Capability and User Accessibility: Off-grid Civilian Emergency Communication
During large-scale crises disrupting cellular and Internet infrastructure, civilians lack reliable methods for communication, aid coordination, and access to trustworthy information. This paper presents a unified emergency communication system integrating a low-power, long-range network with a crisis-oriented smartphone application, enabling decentralized and off-grid civilian communication. Unlike previous solutions separating physical layer resilience from user layer usability, our design mer…

Anthropic expands Claude for Financial Services with a beta Claude for Excel integration, additional data connectors, and new pre-built Agent Skills (Webb Wright/ZDNET)
https://www.zdnet.com/article/claude-can-integrate-with-excel-now-plus-7-oth…

Claude can integrate with Excel now - plus 7 other new connectors
Here's how you can access a raft of upgrades intended to boost the chatbot's financial prowess and access to real-time market information.

One key point of democracy (and the minimal requirement) is that there is an official and working way to get rid of the running government (and representatives i.e. parliament).
This includes a free press, i.e. access to information and different (critical) views on politicians.
#pol

In-situ X-ray imaging of reduction-nitridation in ferric oxide under high Pressure
Yu Tao, Depu Liu, Chunyin Zhou, Xv Jia, Jingyi Liu, Xue Chang, Yangbin Wang, Li Lei
https://arxiv.org/abs/2509.24289

In-situ X-ray imaging of reduction-nitridation in ferric oxide under high Pressure
The investigation of high-pressure chemical reaction dynamics has long been constrained by the absence of effective in-situ characterization methods. Here we performed the state-of-the-art synchrotron radiation in-situ X-ray imaging based on large-volume press (LVP) technology to uncover the crucial information on the dynamics of the underlying phenomena of the formation of iron-based spherical product in the high-pressure solid-state metathesis reaction (HSM). We successfully give access to th…

A Novel Framework for Honey-X Deception in Zero-Sum Games
Brendan Gould, Kyriakos Vamvoudakis
https://arxiv.org/abs/2509.20329 https://arxiv.org/pdf/2509.2…

A Novel Framework for Honey-X Deception in Zero-Sum Games
In this paper, we present a novel, game-theoretic model of deception in two-player, zero-sum games. Our framework leverages an information asymmetry: one player (the deceiver) has access to accurate payoff information, while the other (the victim) observes a modified version of these payoffs due to the deception strategy employed. The deceiver's objective is to choose a deception-action pair that optimally exploits the victim's best response to the altered payoffs, subject to a constraint on th…

Replaced article(s) found for cs.IT. https://arxiv.org/list/cs.IT/new
[1/1]:
- Noise-Domain Non-Orthogonal Multiple Access
Erkin Yapici, Yusuf Islam Tek, Ertugrul Basar

Polish president's veto won't threaten Ukraine's Starlink access, Nawrocki's office claims: https://benborges.xyz/2025/08/26/polish-presidents-veto-wont-threaten.html

2/2 I continued blogging Alberniweather and on FB and Twitter but I gradually removed my personal self from Facebook and eventually during the Pandemic, I decided the Facebook environment was just too toxic even for weather stuff and I shut down my page and left Facebook completely.
The impact on traffic to Alberniweather.ca and its prominence in the community was, and still is, significant.
I have diehard followers, many who have become friends over the years, I still get the odd call from media, or even the public about random weather things.
I have good connections with a few folks at Environment Canada (though their staff have become thinner and more transient :(
and major events still get spikes of local traffic but I since about 2022, and after I removed myself from Twitter that year, I don’t blog nearly as much. I would do a few posts in a week, and then go months without posting. I just got out of the habit I guess.
But I am still interested in the weather. I still feel like Alberniweather is a useful service for people in my community. I still feel a willing obligation to inform people about the weather and I believe I am trusted to do so by the public and local leaders. I’ve never made any money at it, I sold ad space on the website for a few years but it wasn’t worth the hassle and I didn’t feel comfortable taking the money when I was councillor. I have had some generous spontaneous donations at times.
But mainly I do it because it’s interesting, and I hope it is useful for people especially when people are looking for information during a major event.
The highest traffic I have ever had on Alberniweather pre-FB exit was the local Dog Mountain forest fire in 2015.
post-FB exit: the #underwoodfire
People want easy access to reliable local, trusted, information.
Large media orgs have mostly given up on this.
I am grateful we still have an active local newspaper and radio and that both trust me and I trust them.
@… @…

The IRMA Dataset: A Structured Audio-MIDI Corpus for Iranian Classical Music
Sepideh Shafiei, Shapour Hakam
https://arxiv.org/abs/2508.19876 https://arxiv.…

The IRMA Dataset: A Structured Audio-MIDI Corpus for Iranian Classical Music
We present the IRMA Dataset (Iranian Radif MIDI Audio), a multi-level, open-access corpus designed for the computational study of Iranian classical music, with a particular emphasis on the radif, a structured repertoire of modal-melodic units central to pedagogy and performance. The dataset combines symbolic MIDI representations, phrase-level audio-MIDI alignment, musicological transcriptions in PDF format, and comparative tables of theoretical information curated from a range of performers and…

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Zaid Hakami, Yuzhou Feng, Bogdan Carbunar
https://arxiv.org/abs/2509.17933

Cooperative Dynamics of Censorship, Misinformation, and Influence Operations: Insights from the Global South and U.S
Censorship and the distribution of false information, tools used to manipulate what users see and believe, are seemingly at opposite ends of the information access spectrum. Most previous work has examined them in isolation and within individual countries, leaving gaps in our understanding of how these information manipulation tools interact and reinforce each other across diverse societies. In this paper, we study perceptions about the interplay between censorship, false information, and influ…

Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Zhixin Lin, Jungang Li, Shidong Pan, Yibo Shi, Yue Yao, Dongliang Xu
https://arxiv.org/abs/2508.19493

Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents
Smartphones bring significant convenience to users but also enable devices to extensively record various types of personal information. Existing smartphone agents powered by Multimodal Large Language Models (MLLMs) have achieved remarkable performance in automating different tasks. However, as the cost, these agents are granted substantial access to sensitive users' personal information during this operation. To gain a thorough understanding of the privacy awareness of these agents, we present …

EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol
Kanato Masayoshi, Masahiro Hashimoto, Ryoichi Yokoyama, Naoki Toda, Yoshifumi Uwamino, Shogo Fukuda, Ho Namkoong, Masahiro Jinzaki
https://arxiv.org/abs/2509.15957

EHR-MCP: Real-world Evaluation of Clinical Information Retrieval by Large Language Models via Model Context Protocol
Background: Large language models (LLMs) show promise in medicine, but their deployment in hospitals is limited by restricted access to electronic health record (EHR) systems. The Model Context Protocol (MCP) enables integration between LLMs and external tools. Objective: To evaluate whether an LLM connected to an EHR database via MCP can autonomously retrieve clinically relevant information in a real hospital setting. Methods: We developed EHR-MCP, a framework of custom MCP tools integrate…

A Vision for Access Control in LLM-based Agent Systems
Xinfeng Li, Dong Huang, Jie Li, Hongyi Cai, Zhenhong Zhou, Wei Dong, XiaoFeng Wang, Yang Liu
https://arxiv.org/abs/2510.11108

A Vision for Access Control in LLM-based Agent Systems
The autonomy and contextual complexity of LLM-based agents render traditional access control (AC) mechanisms insufficient. Static, rule-based systems designed for predictable environments are fundamentally ill-equipped to manage the dynamic information flows inherent in agentic interactions. This position paper argues for a paradigm shift from binary access control to a more sophisticated model of information governance, positing that the core challenge is not merely about permission, but about…

Announcing the .NET Security Group #dotnet
https://devblogs.microsoft.com/dotnet/announcing-dotnet-security-group/

US Health and Human Services centralized medical database – Uh oh
 
This week the Health and Human Services (HHS) agency and the Centers for Medicare and Medicaid Services (CMS) are announcing an initiative to create a centralized database of individual’s health information. The stated rationale for this effort is to improve access to innovative health solutions and improve user access and security. A part of this initiative will include updates to the HIPAA regulations. The effort…

BeCyberSmart: How Fast Can a Hacker Break YOUR Password? | Oberlin College and Conservatory
https://www.oberlin.edu/cit/bulletins/passwords-matter

Age of Information Aided Intelligent Grant-Free Massive Access for Heterogeneous mMTC Traffic
Zhongwen Sun, Wei Chen, Yuxuan Sun, Bo Ai
https://arxiv.org/abs/2509.14503 https://…

Age of Information Aided Intelligent Grant-Free Massive Access for Heterogeneous mMTC Traffic
With the arrival of 6G, the Internet of Things (IoT) traffic is becoming more and more complex and diverse. To meet the diverse service requirements of IoT devices, massive machine-type communications (mMTC) becomes a typical scenario, and more recently, grant-free random access (GF-RA) presents a promising direction due to its low signaling overhead. However, existing GF-RA research primarily focuses on improving the accuracy of user detection and data recovery, without considering the heterog…

Federal lawmakers sent a letter to the Department of Homeland Security (DHS)
demanding information on any plans Immigration and Customs Enforcement (ICE) has
to use Graphite, a spyware program that can access
— without the owner’s knowledge or consent
— a phone’s location data, photos, and encrypted applications, including WhatsApp and Signal.
Last year, the Biden administration paused the contract with Paragon Solutions, which operates Graphite,
while it …

Lawmakers Demand Information About Potential Use of Paragon Spyware by ICE
The lawmakers warned that allowing ICE to use spyware “threatens Americans’ freedom of movement and freedom of speech.”…

Overview of the TREC 2024 NeuCLIR Track
Dawn Lawrie, Sean MacAvaney, James Mayfield, Paul McNamee, Douglas W. Oard, Luca Soldaini, Eugene Yang
https://arxiv.org/abs/2509.14355 h…

Overview of the TREC 2024 NeuCLIR Track
The principal goal of the TREC Neural Cross-Language Information Retrieval (NeuCLIR) track is to study the effect of neural approaches on cross-language information access. The track has created test collections containing Chinese, Persian, and Russian news stories and Chinese academic abstracts. NeuCLIR includes four task types: Cross-Language Information Retrieval (CLIR) from news, Multilingual Information Retrieval (MLIR) from news, Report Generation from news, and CLIR from technical docume…

Information Bulletin Strategy in Impatient Queuing
Anthony Kiggundu, Bin Han, Hans D. Schotten
https://arxiv.org/abs/2508.04241 https://arxiv.org/pdf/2508.…

Information Bulletin Strategy in Impatient Queuing
In Sixth Generation (6G) networks, decentralized control in multi-tenant systems is a suggested enabler for autonomous network operations. However, autonomy requires independent rationale decisions be taken by tenants. This rationality can only be underpinned by timely and continuous access to status information. Despite its importance, the questions of what information should be shared, how much should be communicated, and how frequently updates should be dispatched remain open research challe…

Flip side of this: ~3 years ago, I got automated calls from “RBC Visa”. I ignored them.
Then my card stopped working.
So I called the number on the back of my card and said as much.
The agent gave me a hard time: “So you JUST IGNORED our calls about this?”
“No; I didn’t know they were you calling.”
“How did you not know they were us?! It says ‘this is RBC Visa’ when you answer!”
“That’s indistinguishable from fraud.”
He did not like that. He thought …

Let’s be crystal clear about what this law actually accomplishes: It makes it harder for adults to access perfectly legal (and often helpful) information and services. It forces people to create detailed trails of their online activit…

Didn’t Take Long To Reveal The UK’s Online Safety Act Is Exactly The Privacy-Crushing Failure Everyone Warned About
Well, well, well. The “age assurance” part of the UK’s Online Safety Act has finally gone into effect, with its age checking requirements kicking in a week and a half ago. And what do you kno…

Analysis of Semantic Communication for Logic-based Hypothesis Deduction
Ahmet Faruk Saz, Siheng Xiong, Faramarz Fekri
https://arxiv.org/abs/2508.21755 https://

Analysis of Semantic Communication for Logic-based Hypothesis Deduction
This work presents an analysis of semantic communication in the context of First-Order Logic (FOL)-based deduction. Specifically, the receiver holds a set of hypotheses about the State of the World (SotW), while the transmitter has incomplete evidence about the true SotW but lacks access to the ground truth. The transmitter aims to communicate limited information to help the receiver identify the hypothesis most consistent with true SotW. We formulate the objective as approximating the posterio…

Information availability in different languages and various technological constraints related to multilinguism on the Internet
Sonal Khosla, Haridasa Acharya
https://arxiv.org/abs/2508.17918

Information availability in different languages and various technological constraints related to multilinguism on the Internet
The usage of Internet has grown exponentially over the last two decades. The number of Internet users has grown from 16 Million to 1650 Million from 1995 to 2010. It has become a major repository of information catering almost every area. Since the Internet has its origin in USA which is English speaking country there is huge dominance of English on the World Wide Web. Although English is a globally acceptable language, still there is a huge population in the world which is not able to access t…

The MUG-10 Framework for Preventing Usability Issues in Mobile Application Development
Pawel Weichbroth, Tomasz Szot
https://arxiv.org/abs/2509.21914 https://

The MUG-10 Framework for Preventing Usability Issues in Mobile Application Development
Nowadays, mobile applications are essential tools for everyday life, providing users with anytime, anywhere access to up-to-date information, communication, and entertainment. Needless to say, hardware limitations and the diverse needs of different user groups pose a number of design and development challenges. According to recent studies, usability is one of the most revealing among many others. However, few have made the direct effort to provide and discuss what countermeasures can be applied…

Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
Vasilis Andritsoudis, Pavlos Sermpezis, Ilias Dimitriadis, Athena Vakali
https://arxiv.org/abs/2509.19411

Poster: ChatIYP: Enabling Natural Language Access to the Internet Yellow Pages Database
The Internet Yellow Pages (IYP) aggregates information from multiple sources about Internet routing into a unified, graph-based knowledge base. However, querying it requires knowledge of the Cypher language and the exact IYP schema, thus limiting usability for non-experts. In this paper, we propose ChatIYP, a domain-specific Retrieval-Augmented Generation (RAG) system that enables users to query IYP through natural language questions. Our evaluation demonstrates solid performance on simple quer…

Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Farhad Farokhi
https://arxiv.org/abs/2509.17266 https://arxiv.o…

Privacy-Preserving State Estimation with Crowd Sensors: An Information-Theoretic Respective
Privacy-preserving state estimation for linear time-invariant dynamical systems with crowd sensors is considered. At any time step, the estimator has access to measurements from a randomly selected sensor from a pool of sensors with pre-specified models and noise profiles. A Luenberger-like observer is used to fuse the measurements with the underlying model of the system to recursively generate the state estimates. An additive privacy-preserving noise is used to constrain information leakage. I…

Non-spatial symmetries in quantum nonlinear spectroscopy
Li Sun, Chong Chen, Ren-Bao Liu
https://arxiv.org/abs/2508.20445 https://arxiv.org/pdf/2508.20445

Non-spatial symmetries in quantum nonlinear spectroscopy
Nonlinear spectroscopy is a powerful approach to extracting information, in particular higher-order correlations of physical quantities. Quantum nonlinear spectroscopy (QNS) can access exponentially more types of correlations than its classical counterpart, since the responses to ``classical forces'' correspond to contour-time-ordered correlations (CTOCs) that involve only commutators, while in QNS ``quantum forces'' from a quantum sensor induce responses corresponding to CTOCs that involve bot…

On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
Tao Guo, Junxiao Wang, Fushuo Huo, Laizhong Cui, Song Guo, Jie Gui, Dacheng Tao
https://arxiv.org/abs/2508.16261

On the Evolution of Federated Post-Training Large Language Models: A Model Accessibility View
Federated Learning (FL) enables training models across decentralized data silos while preserving client data privacy. Recent research has explored efficient methods for post-training large language models (LLMs) within FL to address computational and communication challenges. While existing approaches often rely on access to LLMs' internal information, which is frequently restricted in real-world scenarios, an inference-only paradigm (black-box FedLLM) has emerged to address these limitations. …

Joint Communication and Parameter Estimation in MIMO Channels
G\"okhan Y{\i}lmaz, Franz Lampel, Hamdi Joudeh, Giuseppe Caire
https://arxiv.org/abs/2509.26365 https://

Joint Communication and Parameter Estimation in MIMO Channels
We study a joint communication and sensing setting comprising a transmitter, a receiver, and a sensor, all equipped with multiple antennas. The transmitter sends an encoded signal over the channel with the dual purpose of communicating an information message to the receiver, and enabling the sensor to estimate a target parameter vector by generating back-scattered signals. We assume that the transmitter and sensor are co-located, or fully connected, giving the latter access to the transmitted s…

Wikimedia says Wikipedia is seeing a significant decline in human traffic, as more people access the site's information via AI chatbots without clicking through (Emanuel Maiberg/404 Media)
https://www.404media.co/wikipedia-says-ai-is-causing-a-…

Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors
“With fewer visits to Wikipedia, fewer volunteers may grow and enrich the content, and fewer individual donors may support this work.”

Price of Uncertainty for Consensus Games
Yunzhe Bai, Alec Sun
https://arxiv.org/abs/2508.17557 https://arxiv.org/pdf/2508.17557

Price of Uncertainty for Consensus Games
Many game-theoretic models assume that players have access to accurate information, but uncertainty in observed data is frequently present in real-world settings. In this paper, we consider a model of uncertainty where adversarial perturbations of relative magnitude $1+\varepsilon$ are introduced to players' observed costs. The effect of uncertainty on social cost is denoted as the price of uncertainty. We prove a tight bound on the price of uncertainty for consensus games of $Θ(\varepsilon^2 …

Privileged Self-Access Matters for Introspection in AI
Siyuan Song, Harvey Lederman, Jennifer Hu, Kyle Mahowald
https://arxiv.org/abs/2508.14802 https://ar…

Privileged Self-Access Matters for Introspection in AI
Whether AI models can introspect is an increasingly important practical question. But there is no consensus on how introspection is to be defined. Beginning from a recently proposed ''lightweight'' definition, we argue instead for a thicker one. According to our proposal, introspection in AI is any process which yields information about internal states through a process more reliable than one with equal or lower computational cost available to a third party. Using experiments where LLMs reason …

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Kartik Narayan, Yang Xu, Tian Cao, Kavya Nerella, Vishal M. Patel, Navid Shiee, Peter Grasch, Chao Jia, Yinfei Yang, Zhe Gan
https://arxiv.org/abs/2510.12801

DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search
Multimodal Large Language Models (MLLMs) in real-world applications require access to external knowledge sources and must remain responsive to the dynamic and ever-changing real-world information in order to address information-seeking and knowledge-intensive user queries. Existing approaches, such as retrieval augmented generation (RAG) methods, search agents, and search equipped MLLMs, often suffer from rigid pipelines, excessive search calls, and poorly constructed search queries, which resu…

Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law
Simon Wallace, Sean Rehaag
https://arxiv.org/abs/2509.13032

Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law
The Access to Algorithmic Justice project (A2AJ) is an open-source alternative to the Canadian Legal Information Institute (CanLII). At a moment when technology promises to enable new ways of working with law, CanLII is becoming an impediment to the free access of law and access to justice movements because it restricts bulk and programmatic access to Canadian legal data. This means that Canada is staring down a digital divide: well-resourced actors have the best new technological tools and, be…

Every day, some 2 billion people around the world use privacy-protection tools supported by the Open Technology Fund.
When people in China escape their government’s firewalls and censorship software
—now so dense that the system has been called the “locknet”
—or when users in Cuba or Myanmar evade cruder internet blocks,
they can access material written in their own languages and read stories they would otherwise never see.
Both the access and some of the informa…

America Surrenders in the Global Information Wars
The U.S. is reorienting its foreign policy to protect governments that manipulate and suppress information.

Age of Information-Aware Cognitive Shared Access Networks with Energy Harvesting
Georgios Smpokos, Dionysis Xenakis, Marios Kountouris, Nikolaos Pappas
https://arxiv.org/abs/2510.11198

Age of Information-Aware Cognitive Shared Access Networks with Energy Harvesting
This study investigates a cognitive shared access network with energy harvesting capabilities operating under Age of Information (AoI) constraints for the primary user. Secondary transmitters are spatially distributed according to a homogeneous Poisson Point Process (PPP), while the primary user is located at a fixed position. The primary transmitter handles bursty packet arrivals, whereas secondary users operate under saturated traffic conditions. To manage interference and energy, two distinc…

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
Zhan Shi, Yefeng Yuan, Yuhong Liu, Liang Cheng, Yi Fang
https://arxiv.org/abs/2508.19286 https://

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting
The performance of modern machine learning systems depends on access to large, high-quality datasets, often sourced from user-generated content or proprietary, domain-specific corpora. However, these rich datasets inherently contain sensitive personal information, raising significant concerns about privacy, data security, and compliance with regulatory frameworks. While conventional anonymization techniques can remove explicit identifiers, such removal may result in performance drop in downstre…

Wikimedia says Wikipedia is seeing a significant decline in human traffic, as more people access the site's information via AI chatbots without clicking through (Emanuel Maiberg/404 Media)
https://www.404media.co/wikipedia-says-ai-is-causing-a-…

Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors
“With fewer visits to Wikipedia, fewer volunteers may grow and enrich the content, and fewer individual donors may support this work.”

The Defense Department says that journalists "are not required to submit their writings" before publication, in a revised draft of restrictions for press access (Erik Wemple/New York Times)
https://www.nytimes.com/2025/10/06/business/media/trum…

Pentagon Relaxes Press Access Rules
Under new guidelines, journalists will not need approval from the Defense Department before publishing articles containing information not officially released.

Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Jinrui Yang, Fan Jiang, Timothy Baldwin
https://arxiv.org/abs/2509.06195 https://

Language Bias in Information Retrieval: The Nature of the Beast and Mitigation Methods
Language fairness in multilingual information retrieval (MLIR) systems is crucial for ensuring equitable access to information across diverse languages. This paper sheds light on the issue, based on the assumption that queries in different languages, but with identical semantics, should yield equivalent ranking lists when retrieving on the same multilingual documents. We evaluate the degree of fairness using both traditional retrieval methods, and a DPR neural ranker based on mBERT and XLM-R. A…

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
https://arxiv.org/abs/2508.16059

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
Time series (TS) data are ubiquitous across various application areas, rendering time series forecasting (TSF) a fundamental task. With the astounding advances in large language models (LLMs), a variety of methods have been developed to adapt LLMs for time series forecasting. Despite unlocking the potential of LLMs in comprehending TS data, existing methods are inherently constrained by their shallow integration of TS information, wherein LLMs typically access TS representations at shallow laye…

NPR lost access to the Pentagon because they will not sign an unprecedented Defense Department document,
which warns that journalists may lose their press credentials for "soliciting" even unclassified information from federal employees that has not been officially approved for release.
That policy prevents press from doing our job.
Signing that document would make us stenographers parroting press releases, not watchdogs holding government officials accountable.…

Computational access to lattice and long-wavelength physics in quantum mutual information
Patrick M. Lenggenhager, M. Michael Denner, Doruk Efe G\"okmen, Maciej Koch-Janusz, Titus Neupert, Mark H. Fischer
https://arxiv.org/abs/2510.02466

Computational access to lattice and long-wavelength physics in quantum mutual information
Quantum mutual information is an important tool for characterizing correlations in quantum many-body systems, but its numerical evaluation is often prohibitively expensive. While some variants of Rényi Mutual Information (RMI) are computationally more tractable, it is not clear whether they correctly capture the long-wavelength physics or are dominated by UV effects, which is of key importance in lattice simulations. We analyze the relevance of lattice effects on the family of $α$-$z$ Rényi …

Of the People, By the Algorithm: How AI Transforms Democratic Representation
Yuval Rymon
https://arxiv.org/abs/2508.19036 https://arxiv.org/pdf/2508.19036

Of the People, By the Algorithm: How AI Transforms Democratic Representation
This review examines how AI technologies are transforming democratic representation, focusing on citizen participation and algorithmic decision-making. The analysis reveals that AI technologies are reshaping democratic processes in fundamental ways: enabling mass-scale deliberation, changing how citizens access and engage with political information, and transforming how representatives make and implement decisions. While AI offers unprecedented opportunities for enhancing democratic participati…

Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization
Yi Wang, Yingyang Chen, Li Wang, Donghong Cai, Xiaofan Li, Pingzhi Fan
https://arxiv.org/abs/2508.12012

Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization
Rate-splitting multiple access (RSMA) is a key technology for next-generation multiple access systems due to its robustness against imperfect channel state information (CSI). This makes RSMA particularly suitable for high-mobility autonomous driving, where ultra-reliable and low-latency communication (URLLC) is essential. To address the stringent requirements, this study enables RSMA finite blocklength (FBL) transmissions and explicitly evaluates the ergodic performance. We derive the closed-fo…

Does Embodiment Matter to Biomechanics and Function? A Comparative Analysis of Head-Mounted and Hand-Held Assistive Devices for Individuals with Blindness and Low Vision
Gaurav Seth, Hoa Pham, Giles Hamilton-Fletcher, Charles Leclercq, John-Ross Rizzo
https://arxiv.org/abs/2509.18391

Does Embodiment Matter to Biomechanics and Function? A Comparative Analysis of Head-Mounted and Hand-Held Assistive Devices for Individuals with Blindness and Low Vision
Visual assistive technologies, such as Microsoft Seeing AI, can improve access to environmental information for persons with blindness or low vision (pBLV). Yet, the physical and functional implications of different device embodiments remain unclear. In this study, 11 pBLV participants used Seeing AI on a hand-held smartphone and on a head-mounted ARx Vision system to perform six activities of daily living, while their movements were captured with Xsens motion capture. Functional outcomes inclu…

Viven, which builds AI "digital twins" that grant employees access to crucial information when coworkers are unavailable, emerges from stealth with a $35M seed (Marina Temkin/TechCrunch)
https://techcrunch.com/2025/10/15/e…

Eightfold co-founders raise $35M for Viven, an AI digital twin startup for querying unavailable coworkers | TechCrunch
Viven's seed funding was led by Khosla Ventures and Foundation Capital.

Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
Daniel Airinei, Elena Burceanu, Marius Leordeanu
https://arxiv.org/abs/2508.11446

Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
Indoor navigation is a difficult task, as it generally comes with poor GPS access, forcing solutions to rely on other sources of information. While significant progress continues to be made in this area, deployment to production applications is still lacking, given the complexity and additional requirements of current solutions. Here, we introduce an efficient, real-time and easily deployable deep learning approach, based on visual input only, that can predict the direction towards a target fro…

A security researcher said
flaws in a carmaker’s online dealership portal
exposed the private information
and vehicle data of its customers,
and could have allowed hackers to remotely break into any of its customers’ vehicles.
Eaton Zveare, who works as a security researcher at software delivery company Harness,
told TechCrunch the flaw he discovered
allowed the creation of an admin account
that granted “unfettered access” to the unnamed carma…

Security flaws in a carmaker's web portal let one hacker remotely unlock cars from anywhere | TechCrunch
Security researcher Eaton Zveare told TechCrunch that the flaws he discovered in the carmaker's centralized dealer portal exposed vast access to customer and vehicle data. With this access, Zveare said he could remotely take over a customer's account and unlock their cars, and more.

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng
https://arxiv.org/abs/2508.16059

Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
Time series (TS) data are ubiquitous across various application areas, rendering time series forecasting (TSF) a fundamental task. With the astounding advances in large language models (LLMs), a variety of methods have been developed to adapt LLMs for time series forecasting. Despite unlocking the potential of LLMs in comprehending TS data, existing methods are inherently constrained by their shallow integration of TS information, wherein LLMs typically access TS representations at shallow laye…

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao, Yilun Zhou
https://arxiv.org/abs/2509.09650

All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Large language models (LLMs) demonstrate proficiency across numerous computational tasks, yet their inner workings remain unclear. In theory, the combination of causal self-attention and multilayer perceptron layers allows every token to access and compute information based on all preceding tokens. In practice, to what extent are such operations present? In this paper, on mental math tasks (i.e., direct math calculation via next-token prediction without explicit reasoning), we investigate this …

Comparison of Information Retrieval Techniques Applied to IT Support Tickets
Leonardo Santiago Benitez Pereira, Robinson Pizzio, Samir Bonho
https://arxiv.org/abs/2508.05654 htt…

Comparison of Information Retrieval Techniques Applied to IT Support Tickets
Institutions dependent on IT services and resources acknowledge the crucial significance of an IT help desk system, that act as a centralized hub connecting IT staff and users for service requests. Employing various Machine Learning models, these IT help desk systems allow access to corrective actions used in the past, but each model has different performance when applied to different datasets. This work compares eleven Information Retrieval techniques in a dataset of IT support tickets, with t…

Reducing AoI and Improving Throughput for NOMA-assisted SGF Systems: A Hierarchical Learning Approach
Yuqin Liu, Mona Jaber, Yan Liu, Arumugam Nallanathan
https://arxiv.org/abs/2508.11473

Reducing AoI and Improving Throughput for NOMA-assisted SGF Systems: A Hierarchical Learning Approach
A non-orthogonal multiple access (NOMA) assisted semi-grant-free (SGF) framework is proposed to enable channel access for grant-free users (GFUs) by using residual resources from grant-based users. Under this framework, the problem of joint beamforming design and transmission scheduling is formulated to improve the system throughput and reduce the age-of-information of GFUs. The aforementioned problem is transferred into a Markov Decision Process to model the changing environment with the trans…

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
Aadil Gani Ganie
https://arxiv.org/abs/2509.11431 https://arxiv.org/…

Securing AI Agents: Implementing Role-Based Access Control for Industrial Applications
The emergence of Large Language Models (LLMs) has significantly advanced solutions across various domains, from political science to software development. However, these models are constrained by their training data, which is static and limited to information available up to a specific date. Additionally, their generalized nature often necessitates fine-tuning -- whether for classification or instructional purposes -- to effectively perform specific downstream tasks. AI agents, leveraging LLMs …

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward
Yong Deng, Guoqing Wang, Zhenzhe Ying, Xiaofeng Wu, Jinzhen Lin, Wenwen Xiong, Yuqin Dai, Shuo Yang, Zhanwei Zhang, Qiwen Wang, Yang Qin, Changhua Meng
https://arxiv.org/abs/2508.12800

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward
Large language models (LLMs) exhibit remarkable problem-solving abilities, but struggle with complex tasks due to static internal knowledge. Retrieval-Augmented Generation (RAG) enhances access to external information, yet remains limited in multi-hop reasoning and strategic search due to rigid workflows. Recent advancements in agentic deep research empower LLMs to autonomously reason, search, and synthesize information. However, current approaches relying on outcome-based reinforcement learnin…

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
Richard A. Dubniczky, Bertalan Borsos, Tihanyi Norbert
https://arxiv.org/abs/2510.03761

You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
The widespread use of preprint repositories such as arXiv has accelerated the communication of scientific results but also introduced overlooked security risks. Beyond PDFs, these platforms provide unrestricted access to original source materials, including LaTeX sources, auxiliary code, figures, and embedded comments. In the absence of sanitization, submissions may disclose sensitive information that adversaries can harvest using open-source intelligence. In this work, we present the first lar…

Digital Iran Reloaded: Gamer Mitigation Tactics of IRI Information Controls
Melinda Cohoon
https://arxiv.org/abs/2509.09063 https://arxiv.org/pdf/2509.0906…

Digital Iran Reloaded: Gamer Mitigation Tactics of IRI Information Controls
Internet censorship in the Islamic Republic of Iran restricts access to global platforms and services, forcing users to rely on circumvention technologies such as VPNs, proxies, and tunneling tools. This report presents findings from a mixed-methods study of 660 Iranian internet users, with a focus on gamers as a digitally literate and socially networked community. Survey data are combined with network measurements of latency and VPN performance to identify both technical and social strategies …

a16z hires ex-VMware CEO Raghu Raghuram as general partner overseeing AI infrastructure and growth investments and as a managing partner, replacing Scott Kupor (Natasha Mascarenhas/The Information)
https://www.theinformation.com/articles/ben-horow…

Ben Horowitz Hires His ‘Jensen’; Vercel Starts a Venture Fund
Andreessen Horowitz co-founder Ben Horowitz says only a small subset of AI companies, such as portfolio companies Safe Superintelligence Inc. and Thinking Machines Labs, need massive compute contracts. But many AI startups still need help getting access to bottlenecked resources, like chips to ...

“The Maha report is essentially a distraction from the real causes of poor health,”
said Elizabeth Jacobs, professor emerita at the University of Arizona and a founding member of Defend Public Health.
“This administration does not want to address things like poverty and education and access to healthcare.
Instead, they’re distracting the public with information on solutions to problems that don’t actually exist.
When the foundation of your policy is not evidence-based…

Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD
Marco Origlia, Marco Secondini
https://arxiv.org/abs/2510.10674 https://arxiv.org/pdf/25…

Soft-Decoding Reverse Reconciliation in Discrete-Modulation CV-QKD
In continuous-variable quantum key distribution, information reconciliation is required to extract a shared secret key from correlated random variables obtained through the quantum channel. Reverse reconciliation (RR) is generally preferred, since the eavesdropper has less information about Bob's measurements than about Alice's transmitted symbols. When discrete modulation formats are employed, however, soft information is available only at Bob's side, while Alice has access only to hard inform…

System Password Security: Attack and Defense Mechanisms
Chaofang Shi, Zhongwen Li, Xiaoqi Li
https://arxiv.org/abs/2510.10246 https://arxiv.org/pdf/2510.10…

System Password Security: Attack and Defense Mechanisms
System passwords serve as critical credentials for user authentication and access control when logging into operating systems or applications. Upon entering a valid password, users pass verification to access system resources and execute corresponding operations. In recent years, frequent password cracking attacks targeting system passwords have posed a severe threat to information system security. To address this challenge, in-depth research into password cracking attack methods and defensive …

TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
Bohao Chu, Meijie Li, Sameh Frihat, Chengyu Gu, Georg Lodde, Elisabeth Livingstone, Norbert Fuhr
https://arxiv.org/abs/2508.13798

TracSum: A New Benchmark for Aspect-Based Summarization with Sentence-Level Traceability in Medical Domain
While document summarization with LLMs has enhanced access to textual information, concerns about the factual accuracy of these summaries persist, especially in the medical domain. Tracing evidence from which summaries are derived enables users to assess their accuracy, thereby alleviating this concern. In this paper, we introduce TracSum, a novel benchmark for traceable, aspect-based summarization, in which generated summaries are paired with sentence-level citations, enabling users to trace b…

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Claudia dAmato, Giuseppe Rubini, Francesco Didio, Donato Francioso, Fatima Zahra Amara, Nicola Fanizzi
https://arxiv.org/abs/2508.06368

Automated Creation of the Legal Knowledge Graph Addressing Legislation on Violence Against Women: Resource, Methodology and Lessons Learned
Legal decision-making process requires the availability of comprehensive and detailed legislative background knowledge and up-to-date information on legal cases and related sentences/decisions. Legal Knowledge Graphs (KGs) would be a valuable tool to facilitate access to legal information, to be queried and exploited for the purpose, and to enable advanced reasoning and machine learning applications. Indeed, legal KGs may act as knowledge intensive component to be used by pre-dictive machine le…