Tootfinder

Pattern matching is a major feature in software development. While pattern matching applies in several locations, its current usage is limited to switch case blocks. I want to compare the power of pattern matching across a couple of programming languages I’m familiar with in this post.
https://blo…

MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Yasaman Samadi, Hai Dong, Xiaoyu Xia
https://arxiv.org/abs/2508.12641 https://…

MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Recent advancements in money laundering detection have demonstrated the potential of using graph neural networks to capture laundering patterns accurately. However, existing models are not explicitly designed to detect the diverse patterns of off-chain cryptocurrency money laundering. Neglecting any laundering pattern introduces critical detection gaps, as each pattern reflects unique transactional structures that facilitate the obfuscation of illicit fund origins and movements. Failure to acco…

from my link log —
Pattern matching and exhaustiveness checking algorithms implemented in Rust.
https://github.com/yorickpeterse/pattern-matching-in-rust
saved 2025-06-02

STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting
Jiayu Fang, Zhiqi Shao, S T Boris Choy, Junbin Gao
https://arxiv.org/abs/2508.13433

STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting
Spatio-temporal traffic forecasting is challenging due to complex temporal patterns, dynamic spatial structures, and diverse input formats. Although Transformer-based models offer strong global modeling, they often struggle with rigid temporal encoding and weak space-time fusion. We propose STPFormer, a Spatio-Temporal Pattern-Aware Transformer that achieves state-of-the-art performance via unified and interpretable representation learning. It integrates four modules: Temporal Position Aggregat…

This is gonna be great! This company has punched above its weight for years. A small team of like 6 talented people. My recommendation: Hire them to do some work OR support their Patreon, but definitely send them a good question.
https://iconfactory.world/@Iconfactory/1150516380960…

The Iconfactory (@Iconfactory@iconfactory.world)
Attached: 1 image Inspired by a suggestion from Mastodon, we’re going to try something new - Ask the Iconfactory! Patreon supporters can ask us the answer to that burning Iconfactory-related question and we’ll answer our favorites in an upcoming podcast. Supporters will get early access to the public audio ep and if it’s successful we may do more! Leave your questions in the comments. Now’s your chance, ask away! https://www.patreon.com/posts/ask-iconfactory-136788695

On subshifts with low maximal pattern complexity
Anh N. Le, Ronnie Pavlov, Casey Schlortt
https://arxiv.org/abs/2508.13420 https://arxiv.org/pdf/2508.13420…

On subshifts with low maximal pattern complexity
For a finite alphabet $\mathcal{A}$ and a sequence $x \in \mathcal{A}^{\mathbb{N}}$, Kamae and Zamboni defined the maximal pattern complexity function $p^*_x(n)$ as a natural generalization of usual word complexity. They defined a nonperiodic sequence $x$ to be pattern Sturmian if it achieves the minimal growth rate $p^*_x(n) = 2n$, and asked the question of whether one could classify recurrent pattern Sturmian sequences. We answer their question by characterizing recurrent pattern Sturmian s…

When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
Christophe Muller (PREMEDICAL), Erwan Scornet (LPSM), Julie Josse (PREMEDICAL)
https://arxiv.org/abs/2507.13024

When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
Predicting a response with partially missing inputs remains a challenging task even in parametric models, since parameter estimation in itself is not sufficient to predict on partially observed inputs. Several works study prediction in linear models. In this paper, we focus on logistic models, which present their own difficulties. From a theoretical perspective, we prove that a Pattern-by-Pattern strategy (PbP), which learns one logistic model per missingness pattern, accurately approximates Ba…

Patreon plans to consolidate its Pro and Premium plans starting August 5, taking a 10% commission, rather than the current 8% for Pro and 12% for Premium users (Dominic Preston/The Verge)
https://www.theverge.com/news/687570/patreon-standard-pr…

Patreon is raising its fees for new creators soon
Patreon is raising the rate it charges to most creators, but existing users won’t see an increase — nor will anyone who signs up by August 4th.

I think this is a larger pattern:
"AI" allows you to roleplay competence.
https://tldr.nettime.org/@tante/115054255141397973

PatternSight: A Perceptual Grouping Effectiveness Assessment Approach for Graphical Patterns in Charts
Xumeng Wang, Xiangxuan Zhang, Zhiqi Gao, Shuangcheng Jiao, Yuxin Ma
https://arxiv.org/abs/2507.12749

PatternSight: A Perceptual Grouping Effectiveness Assessment Approach for Graphical Patterns in Charts
The boom in visualization generation tools has significantly lowered the threshold for chart authoring. Nevertheless, chart authors with an insufficient understanding of perceptual theories may encounter difficulties in evaluating the effectiveness of chart representations, thereby struggling to identify the appropriate chart design to convey the intended data patterns. To address this issue, we propose a perception simulation model that can assess the perceptual effectiveness of charts by pred…