Tootfinder

Russian spy balloons over NATO countries. A "warm-up" before open aggression?: https://benborges.xyz/2025/10/28/russian-spy-balloons-over-nato.html

Starting in a few minutes: It’s :qgis: QGIS Open Day today! 🎉 Don’t miss our two awesome talks. Grab all links and info on the wiki: #QGIS

QOD November 2025
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS) - qgis/QGIS

Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
Jiaqi Shao, Yuxiang Lin, Munish Prasad Lohani, Yufeng Miao, Bing Luo
https://arxiv.org/abs/2509.22391

Do LLM Agents Know How to Ground, Recover, and Assess? A Benchmark for Epistemic Competence in Information-Seeking Agents
Recent work has explored training Large Language Model (LLM) search agents with reinforcement learning (RL) for open-domain question answering (QA). However, most evaluations focus solely on final answer accuracy, overlooking how these agents reason with and act on external evidence. We introduce SeekBench, the first benchmark for evaluating the \textit{epistemic competence} of LLM search agents through step-level analysis of their response traces. SeekBench comprises 190 expert-annotated trace…

HELIOS: Hierarchical Exploration for Language-grounded Interaction in Open Scenes
Katrina Ashton, Chahyon Ku, Shrey Shah, Wen Jiang, Kostas Daniilidis, Bernadette Bucher
https://arxiv.org/abs/2509.22498

HELIOS: Hierarchical Exploration for Language-grounded Interaction in Open Scenes
Language-specified mobile manipulation tasks in novel environments simultaneously face challenges interacting with a scene which is only partially observed, grounding semantic information from language instructions to the partially observed scene, and actively updating knowledge of the scene with new observations. To address these challenges, we propose HELIOS, a hierarchical scene representation and associated search objective to perform language specified pick and place mobile manipulation ta…

MISP core format has been updated with a new field to track first-time publication, and a new IETF Internet-Draft has been published.
This minor, fully backward-compatible addition reinforces the long-term stability and extensibility of the MISP standard format.
#cti #opensource

There are two open consultations about digitising the information about properties for use in the home selling process.
https://www.gov.uk/government/consultations/material-information-in-property-listings

Material information in property listings
​​This consultation seeks views on guidance to make important property information available upfront for home buyers and sellers.

Hundreds of People With ‘Top Secret’ Clearance Exposed by House Democrats’ Website
https://www.wired.com/story/hundreds-of-people-with-top-secret-clearance-exposed-by-house-democrats-website/

Hundreds of People With ‘Top Secret’ Clearance Exposed by House Democrats’ Website
A database containing information on people who applied for jobs with Democrats in the US House of Representatives was left accessible on the open web.

On the Chromatic Number of Stable Kneser Hypergraphs: Verifying the Conjecture for New Families
Hamid Reza Daneshpajouh
https://arxiv.org/abs/2509.22026 https://

On the Chromatic Number of Stable Kneser Hypergraphs: Verifying the Conjecture for New Families
One of the key unsolved conjectures in hypergraph coloring is about the chromatic number of $s$-stable $r$-uniform Kneser hypergraphs $\mathrm{KG}^r(n,k)_{s\textup{-stab}}$. The problem remains largely open, particularly in the case where $s > r\geq 3$. To the best of our knowledge, no information is available except a limited number of computations conducted for the instances when $r=3, 4$, $s=4, 5$, $k=2,3$ with some $n$ does not exceed 14. In this study, we verify the conjecture for infinity…

The project “SAPIENCE: Symbols, Preliteracy and Code Evolution” (U Bologna) has 7 post-doc positions open, including one in #DigitalHumanities, #ComputationalLinguistics or #ComputerScience

NATO to open second Ukraine arms supply hub in January 2026: https://benborges.xyz/2025/12/22/nato-to-open-second-ukraine.html

🇺🇦 #NowPlaying on KEXP's #AfternoonShow
Horsegirl:
🎵 Information Content
#Horsegirl
https://thisishorsegirl.bandcamp.com/track/information-content
https://open.spotify.com/track/3sunB1mnTUu0ewjrZV4SZx
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

Samsung schedules a "Worlds Wide Open" Galaxy event on October 21 at 10pm ET, where it will provide more information about its Project Moohan headset (Jay Peters/The Verge)
https://www.theverge.com/news/799607/samsung-…

Samsung officially teases Moohan headset launch for next week
Samsung is finally about to reveal more details about its Project Moohan mixed reality headset at a new “Worlds Wide Open” Galaxy event on October 21st.

A curated list of UI clients for accessing the ActivityPub Fediverse social network.
https://delightful.coding.social/delightful_fediverse_clients

delightful fediverse clients
Delightful curated lists of free software, open science and information sources.

«younger generations are seeking information on social video platforms rather than the open web. This gradual shift is not unique to #Wikipedia. Many other publishers and content platforms are reporting similar shifts as users spend more time on search engines, AI chatbots, and social media to find information.»
All of those "alternatives" are facilitated through algorithmic recommendation engines designed to maximize profits, what could possible go wrong there…
https://www.404media.co/wikipedia-says-ai-is-causing-a-dangerous-decline-in-human-visitors/

🎼 Unser NFDI4Culture-Kollege @…, Martin Albrecht-Hohmaier präsentiert hier auf der #gfm25 die Open Educational Resource des Teams der Cultural Research Data Academy, die kürzlich auf unserem Culture Information Portal erschienen ist:

Open letter to President Trump: Protect legal Ukrainian workers in US: https://benborges.xyz/2025/12/17/open-letter-to-president-trump.html

'graphviz' is a suite of programs for drawing graphs (In the nodes/edges senses, rather than upwards and to the right sense) - and it uses a file format called 'dot'. Lots of things generate dot output (such as systemd-analyze I mentioned) and it's really easy to generate from scripts and things. 'dotty' is probably the most common program in the suite.
There are some newer formats and programs - but this one is probably the most universal.

email "I came across your profile on LinkedIn and saw you are open to new opportunities. Are you still actively looking right now?"
um, yeah, I deleted my linkedin a year ago. I guess the lesson is, never give anyone your contact information because scraping is forever.
maybe it's time to set up unique-email-per-contact.
hm, and I could approximate unique-phone-number-per-contact with a pbx.
not sure I wanna do unique-postal-address-per-contact (middle n…

:linux: Yes, I use #Secureblue #Linux

Quantifying Emergent Behaviors in Agent-Based Models using Mean Information Gain
Sebasti\'an Rodr\'iguez-Falc\'on, Luciano Stucchi
https://arxiv.org/abs/2510.10381 h…

Quantifying Emergent Behaviors in Agent-Based Models using Mean Information Gain
Emergent behaviors are a defining feature of complex systems, yet their quantitative characterization remains an open challenge, as traditional classifications rely mainly on visual inspection of spatio-temporal patterns. In this Letter, we propose using the Mean Information Gain (MIG) as a metric to quantify emergence in Agent-Based Models. The MIG is a conditional entropy-based metric that quantifies the lack of information about other elements in a structure given certain known properties. W…

Open space on the first floor of the new Computing and Information Science Building
#photo #photography #cornell

Join me at two events at the British Library later this month:
https://www.bl.uk/stories/blogs/posts/knowledge-is-human
On 20 October, the British Library is joining forces with Wikimedia UK and the Wikimedia Foundation to explore the impact of AI on ope…

Knowledge is Human: The Information Ecosystem in the age of AI
A summit to mark the role of human-created, open knowledge in the age of AI and our collective responsibility to safeguard knowledge integrity and sustainability.

Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
Application Deadline: Oct 31, 2025
https://www.fiz-karlsruhe.de/en/stellenan…

Privacy oversight board finds FBI does not buy real-time location data https://therecord.media/pclob-finds-fbi-does-not-use-real-time-location-data

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…

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
Yaxin Du, Yuanshuo Zhang, Xiyuan Yang, Yifan Zhou, Cheng Wang, Gongyi Zou, Xianghe Pang, Wenhao Wang, Menglan Chen, Shuo Tang, Zhiyu Li, Siheng Chen
https://arxiv.org/abs/2510.02271

InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
Information seeking is a fundamental requirement for humans. However, existing LLM agents rely heavily on open-web search, which exposes two fundamental weaknesses: online content is noisy and unreliable, and many real-world tasks require precise, domain-specific knowledge unavailable from the web. The emergence of the Model Context Protocol (MCP) now allows agents to interface with thousands of specialized tools, seemingly resolving this limitation. Yet it remains unclear whether agents can ef…

“[open social] must be funded like infrastructure, not consumer apps. In fact, given the scale of hybrid threats, it should be funded from defense budgets, not innovation leftovers.
The strategic layer of democracy is the information layer. And right now, it is outsourced.” @seabass.bsky.social
<…

We’re getting ready for QGIS Open Day on 28 November 2025! 💚
We’re looking for speakers. If you’d like to share your #QGIS work or ideas, sign up
👉 https://github.com/qgis/QGIS/wiki/QOD-No…

QOD November 2025
QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS) - qgis/QGIS

Crosslisted article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new
[2/3]:
- Sharp Structure-Agnostic Lower Bounds for General Functional Estimation
Jikai Jin, Vasilis Syrgkanis
https://arxiv.org/abs/2512.17341 https://mastoxiv.page/@arXiv_statML_bot/115762312049963700
- Timely Information Updating for Mobile Devices Without and With ML Advice
Yu-Pin Hsu, Yi-Hsuan Tseng
https://arxiv.org/abs/2512.17381 https://mastoxiv.page/@arXiv_csNI_bot/115762180316858485
- SWE-Bench : A Framework for the Scalable Generation of Software Engineering Benchmarks from Open...
Wang, Ramalho, Celestino, Pham, Liu, Sinha, Portillo, Osunwa, Maduekwe
https://arxiv.org/abs/2512.17419 https://mastoxiv.page/@arXiv_csSE_bot/115762487015279852
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
Xiaosi Gu, Ayaka Sakata, Tomoyuki Obuchi
https://arxiv.org/abs/2512.17426 https://mastoxiv.page/@arXiv_statML_bot/115762346108219997
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic s...
Jon Muhovi\v{c}, Janez Per\v{s}
https://arxiv.org/abs/2512.17450 https://mastoxiv.page/@arXiv_csCV_bot/115762717053353674
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issu...
Emmanuel Charleson Dapaah, Jens Grabowski
https://arxiv.org/abs/2512.17460 https://mastoxiv.page/@arXiv_csSE_bot/115762500123147574
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
Olivier Jeunen, Schaun Wheeler
https://arxiv.org/abs/2512.17462 https://mastoxiv.page/@arXiv_csIR_bot/115762430673347625
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
https://arxiv.org/abs/2512.17466 https://mastoxiv.page/@arXiv_eessSY_bot/115762336277179643
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
Dennis Gross, J{\o}rn Eirik Betten, Helge Spieker
https://arxiv.org/abs/2512.17470 https://mastoxiv.page/@arXiv_csAI_bot/115762556506696539
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
Atharva Awari, Nicolas Gillis, Arnaud Vandaele
https://arxiv.org/abs/2512.17473 https://mastoxiv.page/@arXiv_eessSP_bot/115762580078964235
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
Almustapha A. Wakili, Adamu Hussaini, Abubakar A. Musa, Woosub Jung, Wei Yu
https://arxiv.org/abs/2512.17488 https://mastoxiv.page/@arXiv_csCV_bot/115762726884307901
- Resource-efficient medical image classification for edge devices
Mahsa Lavaei, Zahra Abadi, Salar Beigzad, Alireza Maleki
https://arxiv.org/abs/2512.17515 https://mastoxiv.page/@arXiv_eessIV_bot/115762459510336799
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning i...
Brussee, Valkema, Weijer, Doeleman, Schrader, Kers
https://arxiv.org/abs/2512.17517 https://mastoxiv.page/@arXiv_csCV_bot/115762741957639051
- HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, et al.
https://arxiv.org/abs/2512.17534 https://mastoxiv.page/@arXiv_physicsfludyn_bot/115762391350754768
- When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Sys...
Chondhekar, Murukuri, Vasani, Goyal, Badami, Rana, SN, Pandia, Katiyar, Jagadeesh, Gulati
https://arxiv.org/abs/2512.17562 https://mastoxiv.page/@arXiv_csSD_bot/115762423443170715
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource Sharing
Lingxiao Zhao, Haoran Zhou, Yuezhi Che, Dazhao Cheng
https://arxiv.org/abs/2512.17574 https://mastoxiv.page/@arXiv_csDC_bot/115762425409322293
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation i...
N. A. Adarsh Pritam, Jeba Shiney O, Sanyam Jain
https://arxiv.org/abs/2512.17585 https://mastoxiv.page/@arXiv_eessIV_bot/115762479150695610
- MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection an...
Tosin Ige, Christopher Kiekintveld, Aritran Piplai, Asif Rahman, Olukunle Kolade, Sasidhar Kunapuli
https://arxiv.org/abs/2512.17594 https://mastoxiv.page/@arXiv_csCR_bot/115762509298207765
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion De...
Menna Elgabry, Ali Hamdi
https://arxiv.org/abs/2512.17630 https://mastoxiv.page/@arXiv_csCL_bot/115762575512981257
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Effic...
Madhav R. Muthyala, Farshud Sorourifar, Tianhong Tan, You Peng, Joel A. Paulson
https://arxiv.org/abs/2512.17659 https://mastoxiv.page/@arXiv_statML_bot/115762554519447500
toXiv_bot_toot

(LinkedIn) #Paradromics: "A #BCI capable of capturing and delivering rich neural signals could stream visual information directly to the cortex, bypassing external displays and generating experiences indistinguishable from the physical world."

#bci #technology #biotech #augmentedreality #virtualreality #arvr #braincomputerinterfaces | Paradromics
Our daily mission is to restore independence for those living with severe motor impairment. But as our CEO Matt Angle and CSO Reema Khan (Green Sands Equity) discuss at the OPEN Silicon Valley Annual Forum, the long-term potential of high data rate BCIs extends even further.   A #BCI capable of capturing and delivering rich neural signals could stream visual information directly to the cortex, bypassing external displays and generating experiences indistinguishable from the physical world.   …

A quantum information method for early universe with non-trivial sound speed
Shi-Cheng Liu, Lei-Hua Liu, Bichu Li, Hai-Qing Zhang, Peng-Zhang He
https://arxiv.org/abs/2510.04011

A quantum information method for early universe with non-trivial sound speed
Many quantum gravitational frameworks, such as DBI inflation, k-essence, and effective field theories obtained by integrating out heavy modes, can lead to a non-trivial sound speed. Meanwhile, our universe can be described as an open system. Under the non-trivial sound speed, we employ the method of open quantum systems combined with Arnoldi iterations to study the Krylov complexity throughout the early universe, including the inflationary, radiation-dominated, and matter-dominated epochs. A ke…

I was looking for my dishwasher manual. I noticed next to the manual, a link that said "Free Open Source Software". Curious, I clicked on it, and it's a long list of licenses and copyright information that is used in the dishwasher. Ctrl-F, and sure enough - my name's on the list.
I feel like I should have gotten a discount on the dishwasher, or at the very least access to its firmware source code! 🤠

the food truck in the parking lot of the marathon station on the corner of washtenaw and golfside is AMAZING!!!!!!!

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Information Society:
🎵 What's on Your Mind (Pure Energy)
#InformationSociety
https://saeedyounan.bandcamp.com/album/information-society-whats-on-your-mind-saeed-palash-rmx-promo-only
https://open.spotify.com/track/2GBWPAsIXtC7NwULhUoHRf

Partial Self-Correction in Layer Codes
Dominic J. Williamson
https://arxiv.org/abs/2510.09218 https://arxiv.org/pdf/2510.09218

Partial Self-Correction in Layer Codes
The storage of large-scale quantum information at finite temperature requires an autonomous and reliable quantum hard drive, also known as a self-correcting quantum memory. It is a long-standing open problem to find a self-correcting quantum memory in three dimensions. The recently introduced Layer Codes achieve the best possible scaling of code parameters and logical energy barrier in three dimensions, these are tantalizing features for the purposes of self-correction. In this work we show tha…

Are LLMs ready to help non-expert users to make charts of official statistics data?
Gadir Suleymanli, Alexander Rogiers, Lucas Lageweg, Jefrey Lijffijt
https://arxiv.org/abs/2510.01197

Are LLMs ready to help non-expert users to make charts of official statistics data?
In this time when biased information, deep fakes, and propaganda proliferate, the accessibility of reliable data sources is more important than ever. National statistical institutes provide curated data that contain quantitative information on a wide range of topics. However, that information is typically spread across many tables and the plain numbers may be arduous to process. Hence, this open data may be practically inaccessible. We ask the question "Are current Generative AI models capable …

All-optical nonlinear phase modulation in open semiconductor microcavities
Fedor A. Benimetskiy, Paul M. Walker, Anthony Ellul, Oleksandr Kyriienko, Martina Morassi, Aristide Lema\^itre, Tommi Isoniemi, Maurice S. Skolnick, Jacqueline Bloch, Sylvain Ravets, Dmitry N. Krizhanovskii
https://arxiv.org/abs/2510.04789

All-optical nonlinear phase modulation in open semiconductor microcavities
We report a significant advancement in ultra low power light-by-light phase modulation using open semiconductor microcavities in the strong light-matter coupling regime. We achieve cross-phase modulation of up to 247$\pm$17 mrad per particle between laser beams attenuated to single-photon average intensities. This breakthrough extends the potential for quantum information processing and nonlinear quantum optics in strongly coupled light-matter systems, setting a new benchmark in the field witho…

Source: Anthropic, OpenAI, Google, Microsoft, and more are set to unveil the Agentic AI Foundation to build open-source AI agent standards as soon as this week (Aaron Holmes/The Information)
https://www.theinformation.com/articles/openai…

OpenAI, Anthropic, Google Agree to Develop Agent Standards Together
For AI agents to work properly in automating white-collar tasks, the companies developing the agents and the companies running the enterprise apps those agents use will need to agree on technical standards for how these technologies connect to each other.Some leading companies are preparing to ...

A profile of Klay, whose app will let users remake songs using AI; Klay has raised ~$10M and is the first AI startup to close deals with the three major labels (Abram Brown/The Information)
https://www.theinformation.com/articles/secretive-startup-klay-jump…

Secretive Startup Klay Jumps Into the Fray Over AI Music
“So here’s a real surprise,” said Ary Attie, holding open a hidden door in the bowels of the Walker Hotel in the city’s Greenwich Village neighborhood. “There used to be a lot more cool, interesting places in New York—and there’s still a few left.” Attie, the 30-year-old founder of Klay, a new ...

Short-Term Research Fellowships at Haverford College Quaker & Special Collections
https://ift.tt/U8Xf3oh
Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

I'm at the Alasca Cloud summit in Dresden today. Feel free to come say hi! #Alasca #Cloud

"A Ministry of Defence official revealed confidential information by leaving a laptop open on a train in another Afghan data breach"
https://www.independent.co.uk/news/uk/home-news/afghan-ministry-of-defence-data-breach-ta…

MoD official left sensitive data open on laptop on train in another Afghan breach
Exclusive: Details of 49 data breaches at MoD include personal data accidentally sent to a civil service sports club with 140,000 members

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…

Russian advance near Hulyaipole could open a path to Zaporizhzhia, analysts and soldiers warn: https://benborges.xyz/2025/11/12/russian-advance-near-hulyaipole-could.html

Good job now peertube looks shit on mobile devices.
I need to call ublock origin to make it usable. Make these element go away if I don't click them after sometime or make them smaller.
Open in app ? Seriously?
@… #peertube

CrediBench: Building Web-Scale Network Datasets for Information Integrity
Emma Kondrup, Sebastian Sabry, Hussein Abdallah, Zachary Yang, James Zhou, Kellin Pelrine, Jean-Fran\c{c}ois Godbout, Michael M. Bronstein, Reihaneh Rabbany, Shenyang Huang
https://arxiv.org/abs/2509.23340

CrediBench: Building Web-Scale Network Datasets for Information Integrity
Online misinformation poses an escalating threat, amplified by the Internet's open nature and increasingly capable LLMs that generate persuasive yet deceptive content. Existing misinformation detection methods typically focus on either textual content or network structure in isolation, failing to leverage the rich, dynamic interplay between website content and hyperlink relationships that characterizes real-world misinformation ecosystems. We introduce CrediBench: a large-scale data processing …

Robust forecast aggregation via additional queries
Rafael Frongillo, Mary Monroe, Eric Neyman, Bo Waggoner
https://arxiv.org/abs/2512.05271 https://arxiv.org/pdf/2512.05271 https://arxiv.org/html/2512.05271
arXiv:2512.05271v1 Announce Type: new
Abstract: We study the problem of robust forecast aggregation: combining expert forecasts with provable accuracy guarantees compared to the best possible aggregation of the underlying information. Prior work shows strong impossibility results, e.g. that even under natural assumptions, no aggregation of the experts' individual forecasts can outperform simply following a random expert (Neyman and Roughgarden, 2022).
In this paper, we introduce a more general framework that allows the principal to elicit richer information from experts through structured queries. Our framework ensures that experts will truthfully report their underlying beliefs, and also enables us to define notions of complexity over the difficulty of asking these queries. Under a general model of independent but overlapping expert signals, we show that optimal aggregation is achievable in the worst case with each complexity measure bounded above by the number of agents $n$. We further establish tight tradeoffs between accuracy and query complexity: aggregation error decreases linearly with the number of queries, and vanishes when the "order of reasoning" and number of agents relevant to a query is $\omega(\sqrt{n})$. These results demonstrate that modest extensions to the space of expert queries dramatically strengthen the power of robust forecast aggregation. We therefore expect that our new query framework will open up a fruitful line of research in this area.
toXiv_bot_toot

Russia's air defenses are wide open — there's just one problem: https://benborges.xyz/2025/11/09/russias-air-defenses-are-wide.html

💬 All talks and workshops from #hacklu2025 have their own Discourse topic — making it easy to comment, share feedback, and follow updates per session.
👉 https://discourse.ossbase.org/c/hack-lu/…

hack.lu
Hack.lu (and CTI summit) is an open convention/conference where people can discuss about computer security, privacy, information technology and its cultural/technical implication on society. It’s the 19th edition (21st → 24th October) of hack.lu in Luxembourg.

Fragility Analysis of Data-Driven Feedback Gains
Yongzhang Li, Amir Shakouri, M. Kanat Camlibel
https://arxiv.org/abs/2510.00717 https://arxiv.org/pdf/2510…

Fragility Analysis of Data-Driven Feedback Gains
For linear time-invariant systems, input-state data collected during an open-loop experiment can remedy the lack of knowledge of system parameters. However, such data do not contain information about other system uncertainties such as feedback perturbations. In this paper, we study the effect of additive perturbations on control parameters in a data-based setting. To this end, we parameterize the set of quadratically stabilizing feedback gains obtained from noisy input-state data. We study the …

Optimal Computation from Fluctuation Responses
Jinghao Lyu, Kyle J. Ray, James P. Crutchfield
https://arxiv.org/abs/2510.03900 https://arxiv.org/pdf/2510.0…

Optimal Computation from Fluctuation Responses
The energy cost of computation has emerged as a central challenge at the intersection of physics and computer science. Recent advances in statistical physics -- particularly in stochastic thermodynamics -- enable precise characterizations of work, heat, and entropy production in information-processing systems driven far from equilibrium by time-dependent control protocols. A key open question is then how to design protocols that minimize thermodynamic cost while ensur- ing correct outcomes. To …

Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
Jihoon Lee, Hoyeon Moon, Kevin Zhai, Arun Kumar Chithanar, Anit Kumar Sahu, Soummya Kar, Chul Lee, Souradip Chakraborty, Amrit Singh Bedi
https://arxiv.org/abs/2510.05040

Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts
Diffusion-based large language models (dLLMs) are trained flexibly to model extreme dependence in the data distribution; however, how to best utilize this information at inference time remains an open problem. In this work, we uncover an interesting property of these models: dLLMs trained on textual data implicitly learn a mixture of semi-autoregressive experts, where different generation orders reveal different specialized behaviors. We show that committing to any single, fixed inference time …

Quantum Relative Entropy Decay Composition Yields Shallow, Unstructured k-Designs
Nicholas Laracuente
https://arxiv.org/abs/2510.08537 https://arxiv.org/pd…

Quantum Relative Entropy Decay Composition Yields Shallow, Unstructured k-Designs
A major line of questions in quantum information and computing asks how quickly locally random circuits converge to resemble global randomness. In particular, approximate k-designs are random unitary ensembles that resemble random circuits up to their first k moments. It was recently shown that on n qudits, random circuits with slightly structured architectures converge to k-designs in depth O(log n), even on one-dimensional connectivity. It has however remained open whether the same shallow de…

Short-Term Research Fellowships at Haverford College Quaker & Special Collections https://networks.h-net.org/group/announcements/20134912/short-term-research-fellowships-haverford-college-quaker-special

A profile of Klay, whose app will let users remake songs using AI; Klay has raised ~$10M and is the first AI startup to close deals with the three major labels (Abram Brown/The Information)
https://www.theinformation.com/articles/secretive-startup-klay-jump…

Secretive Startup Klay Jumps Into the Fray Over AI Music
“So here’s a real surprise,” said Ary Attie, holding open a hidden door in the bowels of the Walker Hotel in the city’s Greenwich Village neighborhood. “There used to be a lot more cool, interesting places in New York—and there’s still a few left.” Attie, the 30-year-old founder of Klay, a new ...

NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
Avilash Rath, Weiliang Qi, Youpeng Li, Xinda Wang
https://arxiv.org/abs/2510.04987 https:/…

NatGVD: Natural Adversarial Example Attack towards Graph-based Vulnerability Detection
Graph-based models learn rich code graph structural information and present superior performance on various code analysis tasks. However, the robustness of these models against adversarial example attacks in the context of vulnerability detection remains an open question. This paper proposes NatGVD, a novel attack methodology that generates natural adversarial vulnerable code to circumvent GNN-based and graph-aware transformer-based vulnerability detectors. NatGVD employs a set of code transfor…

2 powerful Ukrainian agencies are fighting in the open. Both say only Russia is to win: https://benborges.xyz/2025/10/04/powerful-ukrainian-agencies-are-fighting.html

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal
https://arxiv.org/abs/2509.24988

Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns
Generating accurate and calibrated confidence estimates is critical for deploying LLMs in high-stakes or user-facing applications, and remains an open challenge. Prior research has often framed confidence as a problem of eliciting a model's "self-knowledge", i.e., the ability of an LLM to judge whether its own answers are correct; this approach implicitly assumes that there is some privileged information about the answer's correctness that is accessible to the model itself. However, our experim…

Short-Term Research Fellowships at Haverford College Quaker & Special Collections
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Replaced article(s) found for cs.SI. https://arxiv.org/list/cs.SI/new
[1/1]:
- Paper Quality Assessment based on Individual Wisdom Metrics from Open Peer Review
Andrii Zahorodnii, Jasper J. F. van den Bosch, Ian Charest, Christopher Summerfield, Ila R. Fiete

#Fediverse #Blocklists: #Moderation in Noncapitalist #SocialMedia

> the paper explore…

Computable measures of non-Markovianity for Gaussian free fermion systems
Giuliano Chiriac\`o
https://arxiv.org/abs/2509.25953 https://arxiv.org/pdf/2509.2…

Computable measures of non-Markovianity for Gaussian free fermion systems
We investigate measures of non-Markovianity in open quantum systems governed by Gaussian free fermionic dynamics. Standard indicators of non-Markovian behavior, such as the BLP and LFS measures, are revisited in this context. We show that for Gaussian states, trace-based distances -- specifically the Hilbert-Schmidt norm -- and second-order Rényi mutual information can be efficiently expressed in terms of two-point correlation functions, enabling practical computation even in systems where the…

Short-Term Research Fellowships at Haverford College Quaker & Special Collections
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Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

Short-Term Research Fellowships at Haverford College Quaker & Special Collections
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Mining the Logs: Sources on Blue Humor URL …
via Input 4 RELCFP https://

Short-Term Research Fellowships at Haverford College Quaker & Special Collections https://networks.h-net.org/group/announcements/20134911/short-term-research-fellowships-haverford-college-quaker-special