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…

Matchings in Matroids over Abelian Groups, III
Mohsen Aliabadi, Elliot Krop
https://arxiv.org/abs/2509.14339 https://arxiv.org/pdf/2509.14339

Matchings in Matroids over Abelian Groups, III
In an abelian group $G$, a \emph{matching} is a bijection $f\colon A\to B$ between finite subsets $A,B\subseteq G$ such that $a+f(a)\notin A$ for all $a\in A$. We say that $G$ has the \emph{matching property} if every pair of finite subsets $A,B\subseteq G$ with $|A|=|B|$ and $0\notin B$ admits such a matching. This paper develops matroidal analogues of classical results on group matchings. By embedding matroid ground sets in $G$, we introduce base matchings between matroid …

🇺🇦 Auf radioeins läuft...
Madison McFerrin:
🎵 (Please Don't) Leave Me Now
#NowPlaying #MadisonMcFerrin
https://madisonmcferrin.bandcamp.com/track/please-dont-leave-me-now
https://open.spotify.com/track/14BXS7KWSFpfCS8mhxkPXE

"Medicina mental e medicina orgânica no jovem Foucault: considerações em torno de René Leriche" agora nos Arquivos HAL
#filosofia

QB2 matchmaker: Finding landing spots for Jameis Winston and other expendable backups as roster cuts loom

https://www.cbssports.com/nfl/news/qb2-mat

Quantum Flow Matching
Zidong Cui, Pan Zhang, Ying Tang
https://arxiv.org/abs/2508.12413 https://arxiv.org/pdf/2508.12413

Quantum Flow Matching
Flow matching has rapidly become a dominant paradigm in classical generative modeling, offering an efficient way to interpolate between two complex distributions. We extend this idea to the quantum realm and introduce Quantum Flow Matching (QFM)-a fully quantum-circuit realization that offers efficient interpolation between two density matrices. QFM offers systematic preparation of density matrices and generation of samples for accurately estimating observables, and can be realized on a quantum…

Lipshitz--Sarkar stable homotopy type for certain planar trivalent graphs with perfect matchings
Nilangshu Bhattacharyya
https://arxiv.org/abs/2508.12272 https://

Lipshitz--Sarkar stable homotopy type for certain planar trivalent graphs with perfect matchings
We develop a space-level refinement of the $2$-factor homology by constructing a stable homotopy type associated to a certain family $\mathscr{G}$ of planar trivalent graphs equipped with perfect matchings. Specifically, we define a cover functor from the $2$-factor flow category $\mathscr{C}(Γ_{M})$ to the cube flow category $\mathscr{C}_{C}(n)$, where the perfect matching graph $Γ_{M}$ represents a planar trivalent graph $G$ together with a perfect matching $M$, such that $(G,M) \in \mathsc…

FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin
https://

FlowRL: Matching Reward Distributions for LLM Reasoning
We propose FlowRL: matching the full reward distribution via flow balancing instead of maximizing rewards in large language model (LLM) reinforcement learning (RL). Recent advanced reasoning models adopt reward-maximizing methods (\eg, PPO and GRPO), which tend to over-optimize dominant reward signals while neglecting less frequent but valid reasoning paths, thus reducing diversity. In contrast, we transform scalar rewards into a normalized target distribution using a learnable partition functi…

A Production-Ready Machine Learning System for Inclusive Employment: Requirements Engineering and Implementation of AI-Driven Disability Job Matching Platform
Oleksandr Kuznetsov, Michele Melchiori, Emanuele Frontoni, Marco Arnesano
https://arxiv.org/abs/2508.11713

A Production-Ready Machine Learning System for Inclusive Employment: Requirements Engineering and Implementation of AI-Driven Disability Job Matching Platform
Employment inclusion of people with disabilities remains critically low in Italy, with only 3.5% employed nationally despite mandatory hiring quotas. Traditional manual matching processes require 30-60 minutes per candidate, creating bottlenecks that limit service capacity. Our goal is to develop and validate a production-ready machine learning system for disability employment matching that integrates social responsibility requirements while maintaining human oversight in decision-making. We em…

PRISM: Product Retrieval In Shopping Carts using Hybrid Matching
Arda Kabadayi, Senem Velipasalar, Jiajing Chen
https://arxiv.org/abs/2509.14985 https://ar…

PRISM: Product Retrieval In Shopping Carts using Hybrid Matching
Compared to traditional image retrieval tasks, product retrieval in retail settings is even more challenging. Products of the same type from different brands may have highly similar visual appearances, and the query image may be taken from an angle that differs significantly from view angles of the stored catalog images. Foundational models, such as CLIP and SigLIP, often struggle to distinguish these subtle but important local differences. Pixel-wise matching methods, on the other hand, are co…