arXiv:2601.21831v1 Announce Type: new Abstract: We introduce the use of latent subspaces in the exponential parameter space of product manifolds of categorial distributions, as a tool for learning generative models of discrete data. The low-dimensional latent space encodes statistical dependencies and removes redundant degrees of freedom among the categorial variables. We equip the parameter domain with a Riemannian geometry such that the spaces and distances are related by isometries which enables consistent flow matching. In particular, geodesics become […]

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In the modern web ecosystem, “search” is not just about finding text; it is about performance, relevance and user experience. As a Senior Symfony Developer, you know that LIKE %…% queries are a technical debt trap. This article details how to implement a production-grade Elasticsearch integration in Symfony 7.4. We aren’t just “installing a bundle”; we are building a resilient, zero-downtime search architecture using PHP 8.4 features, Attributes and Symfony Messenger for asynchronous indexing. The Architecture: Performance & Resilience In a junior implementation, an entity update triggers a synchronous HTTP call […]

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Plant disease diagnosis is essential to farmers’ management choices because plant diseases frequently lower crop yield and product quality. For harvests to flourish and agricultural productivity to boost, grape leaf disease detection is important. The plant disease dataset contains grape leaf diseases total of 9,032 images of four classes, among them three classes are leaf diseases, and the other one is healthy leaves. After rigorous pre-processing dataset was split (70% training, 20% validation, 10% testing), and two pre-trained […]

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A standard assumption in Reinforcement Learning is that the agent observes every visited state-action pair in the associated Markov Decision Process (MDP), along with the per-step rewards. Strong theoretical results are known in this setting, achieving nearly-tight $Θ(sqrt{T})$-regret bounds. However, such detailed feedback can be unrealistic, and recent research has investigated more restricted settings such as trajectory feedback, where the agent observes all the visited state-action pairs, but only a single emph{aggregate} reward. In this paper, we consider […]

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arXiv:2602.05042v1 Announce Type: new Abstract: Machine Learning (ML)-enabled systems challenge traditional Requirements Engineering (RE) and agile management due to data dependence, experimentation, and uncertain model behavior. Existing RE and agile practices remain poorly integrated and insufficiently tailored to these characteristics. This paper reports on the practical experience of applying RefineML, a requirements-focused approach for the continuous and agile refinement of ML-enabled systems, which integrates ML-tailored specification and agile management approaches with best practices derived from a systematic mapping […]

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The previous post introduced the idea of a twelve-tone row, a permutation of the twelve pitch classes of a chromatic scale. The earlier post also introduced a group of operations on a tone row with elements P, R, I, and RI. Here P, which stands for “prime”, is the identity operator: it leaves the tone row alone. R stands for retrograde, which means to reverse the sequence. I stands for inversion, inverting each of the intervals in the […]

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arXiv:2603.20227v1 Announce Type: new Abstract: Background: Telework has benefits for many people with disabilities. The pandemic may create new employment opportunities for people with disabilities by increasing employer acceptance of telework, but this crucially depends on the occupational structure. Objective: We compare people with and without disabilities in the expansion of telework as the pandemic began, and the evolution of telework during the pandemic. Methods: We use U.S. data from the American Community Survey from 2008 to 2020 […]

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arXiv:2602.04912v1 Announce Type: new Abstract: Many tool-based Retrieval Augmented Generation (RAG) systems lack precise mechanisms for tracing final responses back to specific tool components — a critical gap as systems scale to complex multi-agent architectures. We present textbf{Atomic Information Flow (AIF)}, a graph-based network flow model that decomposes tool outputs and LLM calls into atoms: indivisible, self-contained units of information. By modeling LLM orchestration as a directed flow of atoms from tool and LLM nodes to a response […]

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