Tootfinder

🇺🇦 #NowPlaying on KEXP's #MechanicalBreakdown
Colegiata:
🎵 Soy una punk
#Colegiata
https://colegiata.bandcamp.com/track/soy-una-punk
https://open.spotify.com/track/1lFCeMfMoBjz2E5EP3i92H

Digital Collections Explorer: An Open-Source, Multimodal Viewer for Searching Digital Collections
Ying-Hsiang Huang, Benjamin Charles Germain Lee
https://arxiv.org/abs/2507.00961 …

Digital Collections Explorer: An Open-Source, Multimodal Viewer for Searching Digital Collections
We present Digital Collections Explorer, a web-based, open-source exploratory search platform that leverages CLIP (Contrastive Language-Image Pre-training) for enhanced visual discovery of digital collections. Our Digital Collections Explorer can be installed locally and configured to run on a visual collection of interest on disk in just a few steps. Building upon recent advances in multimodal search techniques, our interface enables natural language queries and reverse image searches over dig…

IRS Taxpayer Assistance Centers Closed : r/fednews
https://www.reddit.com/r/fednews/comments/1loc1mv/irs_taxpayer_assistance_centers_closed/

Cuts to Data Collection May Erode Reliability of Economic Statistics (Ben Casselman/New York Times)
https://www.nytimes.com/2025/07/30/business/bls-data-collection-cuts-cpi.html
http://www.memeorandum.com/250731/p14#a250731p14

Reminder over KetiKoti...
Alain Verheij @… op BS:
"Ketikoti mag net zo groot en nationaal worden gevierd als Dodenherdenking en Bevrijdingsdag. We zijn allemaal bevrijd van de slavernij, ook de nakomelingen van de schuldigen. Een mens die een ander mens ketent kan zelf niet vrij zijn. Ketikoti is niet ‘fijn voor jullie’, het is collectieve genezing&qu…

🇺🇦 Auf radioeins läuft...
Celeste:
🎵 Stop This Flame
#NowPlaying #Celeste
https://funkastik.bandcamp.com/track/celeste-stop-this-flame-funkastik-remix
https://open.spotify.com/track/1bObrsJGW0UCIGZkvnDqbe

Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
Thanasis Schoinas, Benjamin Guinard, Diba Esbati, Richard Chalk
https://arxiv.org/abs/2508.21081

Normalisation of SWIFT Message Counterparties with Feature Extraction and Clustering
Short text clustering is a known use case in the text analytics community. When the structure and content falls in the natural language domain e.g. Twitter posts or instant messages, then natural language techniques can be used, provided texts are of sufficient length to allow for use of (pre)trained models to extract meaningful information, such as part-of-speech or topic annotations. However, natural language models are not suitable for clustering transaction counterparties, as they are found…

Double Compact Binary Merger Rate Density in Open Star Clusters: Black Holes, Neutron Stars, and White Dwarfs
Savannah Cary, Michiko Fujii, Long Wang, Ataru Tanikawa
https://arxiv.org/abs/2506.22673

Double Compact Binary Merger Rate Density in Open Star Clusters: Black Holes, Neutron Stars, and White Dwarfs
Studying compact-object binary mergers in star clusters is crucial for understanding stellar evolution and dynamical interactions in galaxies. Open clusters in particular are more abundant over cosmic time than globular clusters, however, previous research on low-mass clusters with $\lesssim 10^3~\textrm{M}_{\odot}$ has focused on binary black holes (BBHs) or black hole-neutron star (BH-NS) binaries. Binary mergers of other compact objects, such as white dwarfs (WDs), are also crucial as progen…

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models
Ziqi Zhong, Xunzhu Tang
https://arxiv.org/abs/2506.22865 https://

ReasonBridge: Efficient Reasoning Transfer from Closed to Open-Source Language Models
Recent advancements in Large Language Models (LLMs) have revealed a significant performance gap between closed-source and open-source models, particularly in tasks requiring complex reasoning and precise instruction following. This paper introduces ReasonBridge, a methodology that efficiently transfers reasoning capabilities from powerful closed-source to open-source models through a novel hierarchical knowledge distillation framework. We develop a tailored dataset Reason1K with only 1,000 care…

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
Alexander Hoyle, Lorena Calvo-Bartolom\'e, Jordan Boyd-Graber, Philip Resnik
https://arxiv.org/abs/2507.00828

ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
Topic model and document-clustering evaluations either use automated metrics that align poorly with human preferences or require expert labels that are intractable to scale. We design a scalable human evaluation protocol and a corresponding automated approximation that reflect practitioners' real-world usage of models. Annotators -- or an LLM-based proxy -- review text items assigned to a topic or cluster, infer a category for the group, then apply that category to other documents. Using this p…