Tootfinder

Oof. #OpenStreetMap minutely replication is currently broken: https://community.openstreetmap.org/t/131884
For me this means that recent edits I made are not queryable via O…

Is OSM partially down? New data isn't able to be queried on the map, and new data isn't being rendered
I’m finding that I can pull data into JOSM and iD that I know exists (due to recently pushed edits), but a query on the map doesn’t list them (not to mention that they also aren’t being rendered; however, when something’s awaiting rendering, I always, at least by my experience, can still query it). For example, this query should list building=toilets, but it doesn’t. If I edit that location in iD I can see the aforementioned feature, and I can also pull it into JOSM, but it isn’t b…

I just played a bit with #openstreetmap, and wow, this is a mess! The renderers are doing their best, but what should they do with buildings tagged as "…

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Piotr Gai\'nski, Oussama Boussif, Andrei Rekesh, Dmytro Shevchuk, Ali Parviz, Mike Tyers, Robert A. Batey, Micha{\l} Koziarski
https://arxiv.org/abs/2506.19865

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation
Template-based molecular generation offers a promising avenue for drug design by ensuring generated compounds are synthetically accessible through predefined reaction templates and building blocks. In this work, we tackle three core challenges in template-based GFlowNets: (1) minimizing synthesis cost, (2) scaling to large building block libraries, and (3) effectively utilizing small fragment sets. We propose \textbf{Recursive Cost Guidance}, a backward policy framework that employs auxiliary m…

Day 21 of the road trip was a big day sightseeing around the Cape Leeuwin area. The Cape is the south western most tip of Australia and where the Indian Ocean meets the Southern Ocean. Wild seas, wild winds but a great day. #RoadTrip

WhisperKit: On-device Real-time ASR with Billion-Scale Transformers
Atila Orhon, Arda Okan, Berkin Durmus, Zach Nagengast, Eduardo Pacheco
https://arxiv.org/abs/2507.10860

WhisperKit: On-device Real-time ASR with Billion-Scale Transformers
Real-time Automatic Speech Recognition (ASR) is a fundamental building block for many commercial applications of ML, including live captioning, dictation, meeting transcriptions, and medical scribes. Accuracy and latency are the most important factors when companies select a system to deploy. We present WhisperKit, an optimized on-device inference system for real-time ASR that significantly outperforms leading cloud-based systems. We benchmark against server-side systems that deploy a diverse s…

Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities
Franz Okyere, Meng Lu, Ansgar Brunn
https://arxiv.org/abs/2508.12872

Evaluating the Quality of Open Building Datasets for Mapping Urban Inequality: A Comparative Analysis Across 5 Cities
While informal settlements lack focused development and are highly dynamic, the quality of spatial data for these places may be uncertain. This study evaluates the quality and biases of AI-generated Open Building Datasets (OBDs) generated by Google and Microsoft against OpenStreetMap (OSM) data, across diverse global cities including Accra, Nairobi, Caracas, Berlin, and Houston. The Intersection over Union (IoU), overlap analysis and a positional accuracy algorithm are used to analyse the simil…

I finished watching this #Netflix documentary about the #Antwerp 🇧🇪 diamond heist in 2003 and while the film itself is your typical interesting and informative Netflix-style docu, I am again peeved that #OpenStreetMap

Fiducial Matching: Differentially Private Inference for Categorical Data
Ogonnaya Michael Romanus, Younes Boulaguiem, Roberto Molinari
https://arxiv.org/abs/2507.11762

Fiducial Matching: Differentially Private Inference for Categorical Data
The task of statistical inference, which includes the building of confidence intervals and tests for parameters and effects of interest to a researcher, is still an open area of investigation in a differentially private (DP) setting. Indeed, in addition to the randomness due to data sampling, DP delivers another source of randomness consisting of the noise added to protect an individual's data from being disclosed to a potential attacker. As a result of this convolution of noises, in many cases…

Love a night walk on the beach. Looks like I interrupted someone’s dinner.

This https://arxiv.org/abs/2505.23019 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Stairway to Success: Zero-Shot Floor-Aware Object-Goal Navigation via LLM-Driven Coarse-to-Fine Exploration
Object-Goal Navigation (OGN) remains challenging in real-world, multi-floor environments and under open-vocabulary object descriptions. We observe that most episodes in widely used benchmarks such as HM3D and MP3D involve multi-floor buildings, with many requiring explicit floor transitions. However, existing methods are often limited to single-floor settings or predefined object categories. To address these limitations, we tackle two key challenges: (1) efficient cross-level planning and (2) z…