Tootfinder

added alpine instructions to https://glasgow-embedded.org/latest/install.html
(these assume that you run a desktop environment and not a container, like all the other options)

Embedded DevOps: A Survey on the Application of DevOps Practices in Embedded Software and Firmware Development
Parthiv Katapara, Anand Sharma
https://arxiv.org/abs/2507.00421

Embedded DevOps: A Survey on the Application of DevOps Practices in Embedded Software and Firmware Development
The adoption of DevOps practices in embedded systems and firmware development is emerging as a response to the growing complexity of modern hardware--software co-designed products. Unlike cloud-native applications, embedded systems introduce challenges such as hardware dependency, real-time constraints, and safety-critical requirements. This literature review synthesizes findings from 20 academic and industrial sources to examine how DevOps principles--particularly continuous integration, conti…

Efficient Code Embeddings from Code Generation Models
Daria Kryvosheieva, Saba Sturua, Michael G\"unther, Scott Martens, Han Xiao
https://arxiv.org/abs/2508.21290 https://

Efficient Code Embeddings from Code Generation Models
jina-code-embeddings is a novel code embedding model suite designed to retrieve code from natural language queries, perform technical question-answering, and identify semantically similar code snippets across programming languages. It makes innovative use of an autoregressive backbone pre-trained on both text and code, generating embeddings via last-token pooling. We outline the training recipe and demonstrate state-of-the-art performance despite the relatively small size of the models, validat…

Generic Embeddings and Isometric Embeddings in Reservoir Computers
Allen G Hart
https://arxiv.org/abs/2508.21522 https://arxiv.org/pdf/2508.21522

Generic Embeddings and Isometric Embeddings in Reservoir Computers
We prove that a generic reservoir system admits a generalized synchronization that is a topological embedding of the input system's attractor. We also prove that for sufficiently high reservoir dimension (given by Nash's embedding theorem) there exists an isometric embedding generalized synchronization. The isometric embedding can be constructed explicitly when the reservoir system is linear.

Musk Walks Back Chainsaw Wielding Display: 'It Lacked Empathy' (Aysha Diallo/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-01/musk-walks-back-chainsaw-wielding-display-it-lacked-empathy
http://www.memeorandum.com/250701/p41#a250701p41

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Xiaoxiao Long, Qingrui Zhao, Kaiwen Zhang, Zihao Zhang, Dingrui Wang, Yumeng Liu, Zhengjie Shu, Yi Lu, Shouzheng Wang, Xinzhe Wei, Wei Li, Wei Yin, Yao Yao, Jia Pan, Qiu Shen, Ruigang Yang, Xun Cao, Qionghai Dai
https://arxiv.org/abs/2507.00917

A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
The pursuit of artificial general intelligence (AGI) has placed embodied intelligence at the forefront of robotics research. Embodied intelligence focuses on agents capable of perceiving, reasoning, and acting within the physical world. Achieving robust embodied intelligence requires not only advanced perception and control, but also the ability to ground abstract cognition in real-world interactions. Two foundational technologies, physical simulators and world models, have emerged as critical …

Universal embeddings of flag manifolds and rigidity phenomena
Andrea Loi, Roberto Mossa, Fabio Zuddas
https://arxiv.org/abs/2507.23606 https://arxiv.org/pd…

Universal embeddings of flag manifolds and rigidity phenomena
We prove a universal embedding theorem for flag manifolds: every flag manifold admits a holomorphic isometric embedding into an irreducible classical flag manifold. This result generalizes the classical celebrated embedding theorems of Takeuchi [30] and Nakagawa-Takagi [27]. Using this embedding, we establish new rigidity phenomena for holomorphic isometries between homogeneous Kähler manifolds. As a first immediate consequence we show the triviality of a Kähler-Ricci soliton submanifod of $C…

Granite Embedding R2 Models
Parul Awasthy, Aashka Trivedi, Yulong Li, Meet Doshi, Riyaz Bhat, Vignesh P, Vishwajeet Kumar, Yushu Yang, Bhavani Iyer, Abraham Daniels, Rudra Murthy, Ken Barker, Martin Franz, Madison Lee, Todd Ward, Salim Roukos, David Cox, Luis Lastras, Jaydeep Sen, Radu Florian
https://arxiv.org/abs/2508.21085

Granite Embedding R2 Models
We introduce the Granite Embedding R2 models, a comprehensive family of high-performance English encoder-based embedding models engineered for enterprise-scale dense retrieval applications. Building upon our first-generation release, these models deliver substantial improvements, including 16x expanded context length (8,192 tokens), state-of-the-art performance across diverse retrieval domains - text, code, long-document search, multi-turn conversational, and tabular data - and measurable speed…

A remark on equivariant Riemannian isometric embeddings preserving symmetries
Dmitri Burago, Hongda Qiu
https://arxiv.org/abs/2507.23164 https://arxiv.org/…

A remark on equivariant Riemannian isometric embeddings preserving symmetries
This remark pertains to isometric embeddings endowed with certain geometric properties. We study two embeddings problems for the universal cover $M$ of an $n$-dimensional Riemannian torus $(\TT^n,g)$. The first concerns the existence of an isometric embedding of $M$ into a bounded subset of some Euclidean space $\RR^{D_1}$, and the second one seeks an isometric embdding of $M$ that is equivariant with respect to the deck transformation group of covering map. By using a known trick in a novel wa…

QZhou-Embedding Technical Report
Peng Yu, En Xu, Bin Chen, Haibiao Chen, Yinfei Xu
https://arxiv.org/abs/2508.21632 https://arxiv.org/pdf/2508.21632…

QZhou-Embedding Technical Report
We present QZhou-Embedding, a general-purpose contextual text embedding model with exceptional text representation capabilities. Built upon the Qwen2.5-7B-Instruct foundation model, we designed a unified multi-task framework comprising specialized data transformation and training strategies. The data transformation scheme enables the incorporation of more diverse textual training datasets, while the task-specific training strategies enhance model learning efficiency. We developed a data synthes…