Tootfinder

«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/

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wa…

FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash
The rapid expansion of mass spectrometry (MS) data, now exceeding hundreds of terabytes, poses significant challenges for efficient, large-scale library search - a critical component for drug discovery. Traditional processors struggle to handle this data volume efficiently, making in-storage computing (ISP) a promising alternative. This work introduces an ISP architecture leveraging a 3D Ferroelectric NAND (FeNAND) structure, providing significantly higher density, faster speeds, and lower volt…

Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World
Ines Altemir Marinas, Anastasiia Kucherenko, Alexander Sternfeld, Andrei Kucharavy
https://arxiv.org/abs/2510.09471 …

Getting Your Indices in a Row: Full-Text Search for LLM Training Data for Real World
The performance of Large Language Models (LLMs) is determined by their training data. Despite the proliferation of open-weight LLMs, access to LLM training data has remained limited. Even for fully open LLMs, the scale of the data makes it all but inscrutable to the general scientific community, despite potentially containing critical data scraped from the internet. In this paper, we present the full-text indexing pipeline for the Apertus LLM training data. Leveraging Elasticsearch parallel i…

Planning ahead for 2026? Ensure Berlin Buzzwords is on your schedule for June 7th–9th.
Berlin Buzzwords is Europe’s leading conference for modern data infrastructure, search and machine learning and is focused on open source software projects.
Get your Trust Us Ticket now and save 36% off the regular price: 🔗 https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/
Learn more about Berlin Buzzwords: 🔗https://2026.berlinbuzzwords.de/

from my link log —
A new approach to analyzing Robin Hood hashing. (2014)
https://arxiv.org/abs/1401.7616
saved 2025-10-05 https://dotat.at/:/HOGQW.html…

A New Approach to Analyzing Robin Hood Hashing
Robin Hood hashing is a variation on open addressing hashing designed to reduce the maximum search time as well as the variance in the search time for elements in the hash table. While the case of insertions only using Robin Hood hashing is well understood, the behavior with deletions has remained open. Here we show that Robin Hood hashing can be analyzed under the framework of finite-level finite-dimensional jump Markov chains. This framework allows us to re-derive some past results for the in…

GM Schoen calls 2-11 Giants 'not good enough' https://www.espn.com/nfl/story/_/id/47180413/giants-not-good-enough-confident-coach-search

Computing Envy-Free up to Any Good (EFX) Allocations via Local Search
Simina Br\^anzei
https://arxiv.org/abs/2510.05429 https://arxiv.org/pdf/2510.05429

Computing Envy-Free up to Any Good (EFX) Allocations via Local Search
We present a simple local search algorithm for computing EFX (envy-free up to any good) allocations of $m$ indivisible goods among $n$ agents with additive valuations. EFX is a compelling fairness notion, and whether such allocations always exist remains a major open question in fair division. Our algorithm employs simulated annealing with the total number of EFX violations as an objective function together with a single-transfer neighborhood structure to move through the space of allocations…

Recently reminded of Straight to Hell, the 1975—20?? zine featuring porny gay stories that were often real life narratives. Transgressive and important documentation. The Internet Archive has PDF scans of 5 edited book collections!
Harvard man, Harvard man,
blond for no reason. I'd
sure as shit quit the Quad
for him, scratch every dance
from my card for him; kiss
sunshine goodbye to open
his fly; trade clothes
for sheets, miss other meets
for him, for him

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

🇺🇦 #NowPlaying on KEXP's #DriveTime
Iggy and The Stooges:
🎵 Search and Destroy
#IggyandTheStooges
https://bastardon.bandcamp.com/track/search-and-destroy-iggy-and-the-stooges
https://open.spotify.com/track/00sydAz6PeOxYzwG1dRIPi

Keywords are not always the key: A metadata field analysis for natural language search on open data portals
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl
https://arxiv.org/abs/2509.14457

Keywords are not always the key: A metadata field analysis for natural language search on open data portals
Open data portals are essential for providing public access to open datasets. However, their search interfaces typically rely on keyword-based mechanisms and a narrow set of metadata fields. This design makes it difficult for users to find datasets using natural language queries. The problem is worsened by metadata that is often incomplete or inconsistent, especially when users lack familiarity with domain-specific terminology. In this paper, we examine how individual metadata fields affect the…

Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN
Abdelaziz Salama, Mohammed M. H. Qazzaz, Zeinab Nezami, Maryam Hafeez, Syed Ali Raza Zaidi
https://arxiv.org/abs/2510.00851

Agentic AI meets Neural Architecture Search: Proactive Traffic Prediction for AI-RAN
Next-generation wireless networks require intelligent traffic prediction to enable autonomous resource management and handle diverse, dynamic service demands. The Open Radio Access Network (O-RAN) framework provides a promising foundation for embedding machine learning intelligence through its disaggregated architecture and programmable interfaces. This work applies a Neural Architecture Search (NAS)-based framework that dynamically selects and orchestrates efficient Long Short-Term Memory (LST…

Das Herbstwetter in der Schweiz ist heute nach englischsprachigen Ortschaftsnamen benannt — auf @… die Fakten ;)
🌧️ https://www.openstreetmap.…

rain, schweiz
OpenStreetMap is a map of the world, created by people like you and free to use under an open license.

Toward Systems Foundations for Agentic Exploration
Jiakai Xu, Tianle Zhou, Eugene Wu, Kostis Kaffes
https://arxiv.org/abs/2510.05556 https://arxiv.org/pdf/…

Toward Systems Foundations for Agentic Exploration
Agentic exploration, letting LLM-powered agents branch, backtrack, and search across many execution paths, demands systems support well beyond today's pass-at-k resets. Our benchmark of six snapshot/restore mechanisms shows that generic tools such as CRIU or container commits are not fast enough even in isolated testbeds, and they crumble entirely in real deployments where agents share files, sockets, and cloud APIs with other agents and human users. In this talk, we pinpoint three open fundame…

You would think Google Drive app would have basic search that finds all document titles containing search words. You would be wrong. Actually Apple Files/iCloud search is much better. The more I work with Google apps, the more mediocre they seem. The main thing that stops me from getting folks to use iCloud web apps is the unnecessary 2 modal dialogs to open every doc.

Despite a federal hiring freeze,
the Trump administration just appointed Kyle Walsh, who calls Vance one of his “closest friends”
to head the nation’s key environmental health research arm
There was no job announcement,
no search committee to identify top candidates,
no interviews or reference checks.
The position to lead the nation’s premier environmental health research institute wasn’t even open.
Yet Jay Bhattacharya,
a political appointee …

Close Friend of JD Vance Skirts Normal Channels to Take Over NIH Environmental Health Institute - Inside Climate News
Despite a federal hiring freeze, the Trump administration just appointed a scientist who calls Vance one of his “closest friends” to head the nation’s key environmental health research arm.

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…

TIL that #zellij can open the buffer in $EDITOR. 🤯 This is a superior approach towards copy/search from shell. Love it.

Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp
Nina Smirnova, Muhammad Ahsan Shahid, Philipp Mayr
https://arxiv.org/abs/2509.17465

Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp
In this work, we present PoliCorp (https://demo-pollux.gesis.org/), a web portal designed to facilitate the search and analysis of political text corpora. PoliCorp provides researchers with access to rich textual data, enabling in-depth analysis of parliamentary discourse over time. The platform currently features a collection of transcripts from debates in the German parliament, spanning 76 years of proceedings. With the advanced search functionality, researchers can apply logical operations t…

Guiding Evolution of Artificial Life Using Vision-Language Models
Nikhil Baid, Hannah Erlebach, Paul Hellegouarch, Frederico Wieser
https://arxiv.org/abs/2509.22447 https://

Guiding Evolution of Artificial Life Using Vision-Language Models
Foundation models (FMs) have recently opened up new frontiers in the field of artificial life (ALife) by providing powerful tools to automate search through ALife simulations. Previous work aligns ALife simulations with natural language target prompts using vision-language models (VLMs). We build on Automated Search for Artificial Life (ASAL) by introducing ASAL++, a method for open-ended-like search guided by multimodal FMs. We use a second FM to propose new evolutionary targets based on a sim…

I carry both an iphone and a pixel these days. I think one of the best things about Android is the ability to set your own launcher. I've falled in love with Kvaesitso https://github.com/MM2-0/Kvaesitso - an open source launcher with good configurability and an awesome search. However in general it still feels like android is lagging behind iOS on the app side. I'm specially missing Shellfish (https://secureshellfish.app/) when i'm on the pixel. I even have juicessh pro and it's not nearly as good. I'm actually surprised the ssh client situation is so bad given the higher perceived nerd ratio for Android.

🇺🇦 #NowPlaying on KEXP's #MorningShow
Iggy and The Stooges:
🎵 Search and Destroy
#IggyandTheStooges
https://bastardon.bandcamp.com/track/search-and-destroy-iggy-and-the-stooges
https://open.spotify.com/track/00sydAz6PeOxYzwG1dRIPi

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Pietro Totis, Alberto Pozanco, Daniel Borrajo
https://arxiv.org/abs/2510.00876 https://

Unveiling Interesting Insights: Monte Carlo Tree Search for Knowledge Discovery
Organizations are increasingly focused on leveraging data from their processes to gain insights and drive decision-making. However, converting this data into actionable knowledge remains a difficult and time-consuming task. There is often a gap between the volume of data collected and the ability to process and understand it, which automated knowledge discovery aims to fill. Automated knowledge discovery involves complex open problems, including effectively navigating data, building models to e…

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…

Muonium Spectroscopy as a Quantum Sensor for Ultralight Axion Dark Matter
Feng Fang, Kim Siang Khaw, Ce Zhang, Qiaoli Yang, Liangwen Chen, Jie Yang, Lei Yang, Zhiyu Sun
https://arxiv.org/abs/2509.20862

Muonium Spectroscopy as a Quantum Sensor for Ultralight Axion Dark Matter
High intensity muon beams open new avenues for exploring physics beyond the Standard Model. In this paper, we propose a muonium-based experiment to search for ultralight axions dark matter through resonant quantum transitions between hyperfine states. Combining theoretical calculation with simulation results, we show that a muon beam with a realistic intensity of $10^5 \rm /s$ in the $\mathcal{O}(10~\text{keV})$ energy range could improve constraints on the axion-muon coupling by {up to seven o…

Crosslisted article(s) found for cs.HC. https://arxiv.org/list/cs.HC/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

Crosslisted article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl

Mixture of Encoders is a vector-native alternative that models both structured and unstructured data in a unified embedding space. At Berlin Buzzwords 2025, Filip Makraduli and Ben Gutkovich introduced the method, demonstrated how it powers natural language search and real-time recommendations, and shared open-source tools and benchmarks for replacing complex hybrid stacks.
Watch the full session: https://youtu.be/v-ak-Ohjqas?si=Lyvqcr0fb-0sa4ZW
Berlin Buzzwords returns on 7-9 June 2026: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

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…

HUNT: High-Speed UAV Navigation and Tracking in Unstructured Environments via Instantaneous Relative Frames
Alessandro Saviolo, Jeffrey Mao, Giuseppe Loianno
https://arxiv.org/abs/2509.19452

HUNT: High-Speed UAV Navigation and Tracking in Unstructured Environments via Instantaneous Relative Frames
Search and rescue operations require unmanned aerial vehicles to both traverse unknown unstructured environments at high speed and track targets once detected. Achieving both capabilities under degraded sensing and without global localization remains an open challenge. Recent works on relative navigation have shown robust tracking by anchoring planning and control to a visible detected object, but cannot address navigation when no target is in the field of view. We present HUNT (High-speed UAV …

Crosslisted article(s) found for cs.DL. https://arxiv.org/list/cs.DL/new
[1/1]:
- Keywords are not always the key: A metadata field analysis for natural language search on open da...
Lisa-Yao Gan, Arunav Das, Johanna Walker, Elena Simperl