Tootfinder

Would anyone else like to access the current :nixos: flake's commit message from within #nix, e.g. via `self.sourceInfo.commitMsg`, for example to get a more descriptive boot menu entry? I for sure do and opened an issue:
https://

Provide flake's current commit message in self.sourceInfo · Issue #13331 · NixOS/nix
Is your feature request related to a problem? It would be great if one could access the current commit message of the flake. The self.sourceInfo.*Rev are great, but for things like the boot menu or...

This https://arxiv.org/abs/2401.16983 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Classification complexity of chaotic systems
In this paper, we deal with the classification complexity of continuous (Devaney) chaotic systems in dimensions $0,1$ and $\infty$ using the framework of invariant descriptive set theory. We identify the complexity in dimensions $0$ and $\infty$, while in dimension $1$ we get some partial results. More precisely, we prove the topological conjugacy relation of invertible chaotic systems on the Hilbert cube (resp. on all compact metric spaces) has the same complexity as (i.e. is Borel bireducib…

Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
Sina Amirrajab, Volker Vehof, Michael Bietenbeck, Ali Yilmaz
https://arxiv.org/abs/2506.00060

Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports
Purpose: We investigated the utilization of privacy-preserving, locally-deployed, open-source Large Language Models (LLMs) to extract diagnostic information from free-text cardiovascular magnetic resonance (CMR) reports. Materials and Methods: We evaluated nine open-source LLMs on their ability to identify diagnoses and classify patients into various cardiac diagnostic categories based on descriptive findings in 109 clinical CMR reports. Performance was quantified using standard classification …

Protein folding classes - High-dimensional geometry of amino acid composition space revisited
Boryeu Mao
https://arxiv.org/abs/2506.01857 https://

Protein folding classes - High-dimensional geometry of amino acid composition space revisited
In this study, the distributions of protein folding classes of experimentally determined structures from a legacy dataset and a comprehensive database SCOPe are modeled with precise geometric objects as convex polytopes in the high-dimensional amino acid composition space. This is a follow-up of a previous non-statistical, geometry-motivated modeling of protein classes with ellipsoidal models, which are superseded presently in three important respects: (1) as a paradigm shift descriptive 'distr…

Effect of Insecurity on Agricultural Output in Benue State, Nigeria
Victor Ushahemba Ijirshar, Isaiah Iortyom Udaah, Bridget Ngodoo Mile, Joyce Seember Vershima, Abba Adaudu
https://arxiv.org/abs/2506.01525

Effect of Insecurity on Agricultural Output in Benue State, Nigeria
This study examined the effect of insecurity on agricultural output in Benue state. A descriptive survey design was employed, and 400 respondents were purposively selected from insecurity-prone local government areas, namely, Guma LGA, Agatu LGA, Gwer LGA, Gwer-West LGA, Katsina-Ala LGA, Logo LGA, Ukum LGA and Kwande LGA. The data were collected through the administration of a questionnaire and were analysed using t tests and structural equation modelling (SEM). The t-test was used to compare f…

Dependency on Meta AI Chatbot in Messenger Among STEM and Non-STEM Students in Higher Education
Hilene E. Hernandez, Rhiziel P. Manalese, Roque Francis B. Dianelo, Jaymark A. Yambao, Almer B. Gamboa, Lloyd D. Feliciano, Mike Haizon M. David, Freneil R. Pampo, John Paul P. Miranda
https://arxiv.org/abs/2507.21059

Dependency on Meta AI Chatbot in Messenger Among STEM and Non-STEM Students in Higher Education
To understand the potential dependency of tertiary students regarding Meta AI in the academic context. This descriptive cross-sectional study surveyed 872 tertiary students from public and private institutions in Luzon, Philippines. Demographic information and perceptions on Meta AI dependency based on existing literature were collected. Descriptive statistics were used to summarize the data and differences between STEM and non-STEM students were analyzed using the Mann-Whitney U test. The resu…

Open Problems in Computability Theory and Descriptive Set Theory
George Barmpalias, Nikolay Bazhenov, Chi Tat Chong, Wei Dai, Su Gao, Jun Le Goh, Jialiang He, Keng Meng Selwyn Ng, Andre Nies, Theodore Slaman, Riley Thornton, Wei Wang, Jing Yu, Liang Yu
https://arxiv.org/abs/2507.03972

Open Problems in Computability Theory and Descriptive Set Theory
These open problems were presented in the Problem Sessions held during the Tianyuan Workshop on Computability Theory and Descriptive Set Theory, June 16-20, 2025. The problems are organized into sections named after their contributors, in the order of their presentations during the workshop. Notes were taken and compiled by Wei Dai, Feng Li, Ruiwen Li, Ming Xiao, Xu Wang, Víctor Hugo Yañez Salazar, and Yang Zheng.

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin
https://arxiv.org/abs/2506.19848

ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing
This paper presents ScaleCap, an inference-time scalable image captioning strategy that generates comprehensive and detailed image captions. The key challenges of high-quality image captioning lie in the inherent biases of LVLMs: multimodal bias resulting in imbalanced descriptive granularity, offering detailed accounts of some elements while merely skimming over others; linguistic bias leading to hallucinated descriptions of non-existent objects. To address these issues, we propose a scalable …

A Conceptual Framework for AI Capability Evaluations
Mar\'ia Victoria Carro, Denise Alejandra Mester, Francisca Gauna Selasco, Luca Nicol\'as Forziati Gangi, Matheo Sandleris Musa, Lola Ramos Pereyra, Mario Leiva, Juan Gustavo Corvalan, Mar\'ia Vanina Martinez, Gerardo Simari
https://arxiv.org/abs/2506.18213

A Conceptual Framework for AI Capability Evaluations
As AI systems advance and integrate into society, well-designed and transparent evaluations are becoming essential tools in AI governance, informing decisions by providing evidence about system capabilities and risks. Yet there remains a lack of clarity on how to perform these assessments both comprehensively and reliably. To address this gap, we propose a conceptual framework for analyzing AI capability evaluations, offering a structured, descriptive approach that systematizes the analysis of …

Replaced article(s) found for cs.LO. https://arxiv.org/list/cs.LO/new
[1/1]:
- On the Descriptive Complexity of Groups without Abelian Normal Subgroups
Joshua A. Grochow, Michael Levet

Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
Bo Xiong, Linghao Zhang, Chong Wang, Peng Liang
https://arxiv.org/abs/2507.17690

Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
A commit message describes the main code changes in a commit and plays a crucial role in software maintenance. Existing commit message generation (CMG) approaches typically frame it as a direct mapping which inputs a code diff and produces a brief descriptive sentence as output. However, we argue that relying solely on the code diff is insufficient, as raw code diff fails to capture the full context needed for generating high-quality and informative commit messages. In this paper, we propose a …

This https://arxiv.org/abs/2411.15797 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Utilization and Profitability of Tractor Services for Maize Farming in Ejura-Sekyedumase Municipality, Ghana
Maize farming is a major livelihood activity for many farmers in Ghana. Unfortunately, farmers usually do not obtain the expected returns on their investment due to reliance on rudimentary, labor-intensive, and inefficient methods of production. Using cross-sectional data from 359 maize farmers, this study investigates the profitability and determinants of the use of tractor services for maize production in Ejura-Sekyedumase, Ashanti Region of Ghana. Results from descriptive and profitability a…

Alice and the Caterpillar: A more descriptive null model for assessing data mining results
Giulia Preti, Gianmarco De Francisci Morales, Matteo Riondato
https://arxiv.org/abs/2506.09764

Alice and the Caterpillar: A more descriptive null model for assessing data mining results
We introduce novel null models for assessing the results obtained from observed binary transactional and sequence datasets, using statistical hypothesis testing. Our null models maintain more properties of the observed dataset than existing ones. Specifically, they preserve the Bipartite Joint Degree Matrix of the bipartite (multi-)graph corresponding to the dataset, which ensures that the number of caterpillars, i.e., paths of length three, is preserved, in addition to other properties conside…

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[1/3]:
- A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi, Mario Fritz

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Zheng Lian, Licai Sun, Haoyu Chen, Zebang Cheng, Fan Zhang, Ziyu Jia, Ziyang Ma, Fei Ma, Xiaojiang Peng, Jianhua Tao
https://arxiv.org/abs/2507.04278

DMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth
Descriptive Multimodal Emotion Recognition (DMER) is a newly proposed task that aims to describe a person's emotional state using free-form natural language. Unlike traditional discriminative methods that rely on predefined emotion taxonomies, DMER provides greater flexibility in emotional expression, enabling fine-grained and interpretable emotion representations. However, this free-form prediction paradigm introduces significant challenges in evaluation. Existing methods either depend on grou…

On Borel subsets of generalized Baire spaces
Tapani Hyttinen, Miguel Moreno, Jouko V\"a\"an\"anen
https://arxiv.org/abs/2507.15427 https://

On Borel subsets of generalized Baire spaces
We develop descriptive set theory in Generalized Baire Spaces without assuming $κ^{<κ}=κ$. We point out that without this assumption the basic topological concepts of Generalized Baire Spaces have to be slightly modified in order to obtain a meaningful theory. This modification has no effect if $κ^{<κ}=κ$. After developing the basic theory we apply it to the question whether the orbits of models of a fixed cardinality $κ$ in the space $2^κ$ (or $κ^κ$) are $κ$-Borel in our generalized…

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
Hongmei Lin, Riquan Zhang, Tiejun Tong
https://arxiv.org/abs/2506.06491 https://

When Tukey meets Chauvenet: a new boxplot criterion for outlier detection
The box-and-whisker plot, introduced by Tukey (1977), is one of the most popular graphical methods in descriptive statistics. On the other hand, however, Tukey's boxplot is free of sample size, yielding the so-called "one-size-fits-all" fences for outlier detection. Although improvements on the sample size adjusted boxplots do exist in the literature, most of them are either not easy to implement or lack justification. As another common rule for outlier detection, Chauvenet's criterion uses the…

Controllability of induced bilinear systems on the sphere
Marco A. Colque-Choquecallata, Efrain Cruz-Mullisaca, Victor H. Patty-Yujra
https://arxiv.org/abs/2506.07749

Controllability of induced bilinear systems on the sphere
In this paper, we investigate the controllability of bilinear control systems of the form $\dot{s} = As + uBs$, where $s \in \mathbb{S}^2$ and $A, B \in gl(3, \mathbb{R})$ are skew-symmetric matrices. First, we prove that the algebraic condition $[A, B] \neq 0$ ensures that the Lie algebra rank condition is satisfied for these systems. Next, we show that this same condition implies the controllability of the system. Finally, in an explicit and descriptive manner, we demonstrate controllability …

Descriptions of Cantor Sets: A Set-Theoretic Survey and Open Problems
Mohsen Soltanifar
https://arxiv.org/abs/2506.13103 https://arxi…

Descriptions of Cantor Sets: A Set-Theoretic Survey and Open Problems
This survey synthesizes the principal descriptive set-theoretic perspectives on deterministic Cantor sets on the real line and charts directions for future study. After recounting their historical genesis and compiling an up-to-date taxonomy, we review the Borel hierarchy and four hierarchically ordered representations-general, nested, iterated-function-system (IFS), and q-ary expansion-presented from the most general to the most specific set-theoretic description of deterministic Cantor sets. …

Describe Anything Model for Visual Question Answering on Text-rich Images
Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
https://arxiv.org/abs/2507.12441

Describe Anything Model for Visual Question Answering on Text-rich Images
Recent progress has been made in region-aware vision-language modeling, particularly with the emergence of the Describe Anything Model (DAM). DAM is capable of generating detailed descriptions of any specific image areas or objects without the need for additional localized image-text alignment supervision. We hypothesize that such region-level descriptive capability is beneficial for the task of Visual Question Answering (VQA), especially in challenging scenarios involving images with dense tex…

Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Bastian J\"ackl, Vojt\v{e}ch Kloda, Daniel A. Keim, Jakub Loko\v{c}
https://arxiv.org/abs/2506.09506

Dynamic Sub-region Search in Homogeneous Collections Using CLIP
Querying with text-image-based search engines in highly homogeneous domain-specific image collections is challenging for users, as they often struggle to provide descriptive text queries. For example, in an underwater domain, users can usually characterize entities only with abstract labels, such as corals and fish, which leads to low recall rates. Our work investigates whether recall can be improved by supplementing text queries with position information. Specifically, we explore dynamic image…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new/
[2/4]:
Visually Descriptive Language Model for Vector Graphics Reasoning
http…

Ethics through the Facets of Artificial Intelligence
Flavio Soares Correa da Silva
https://arxiv.org/abs/2507.17020 https://arxiv.org…

Ethics through the Facets of Artificial Intelligence
Artificial Intelligence (AI) has received unprecedented attention in recent years, raising ethical concerns about the development and use of AI technology. In the present article, we advocate that these concerns stem from a blurred understanding of AI, how it can be used, and how it has been interpreted in society. We explore the concept of AI based on three descriptive facets and consider ethical issues related to each facet. Finally, we propose a framework for the ethical assessment of the us…

A Bayesian Approach to Estimating Effect Sizes in Educational Research
Yannis B\"ahni
https://arxiv.org/abs/2507.14848 https://a…

A Bayesian Approach to Estimating Effect Sizes in Educational Research
In educational research, a first step in the descriptive analysis of data from any psychometric measurement of the performance of subjects in tests at different time points and between groups is to compute relative measures of learning gains and learning achievements. For these effect sizes, there are classical approaches coming from frequentistic statistics like Student's or Welch's $t$-test with their own strengths and weaknesses. In this paper, we propose a purely Bayesian approach for analy…

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation
Liqiang Jing, Viet Lai, Seunghyun Yoon, Trung Bui, Xinya Du
https://arxiv.org/abs/2507.06523

FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text Generation
Video Multimodal Large Language Models (VideoMLLMs) have achieved remarkable progress in both Video-to-Text and Text-to-Video tasks. However, they often suffer fro hallucinations, generating content that contradicts the visual input. Existing evaluation methods are limited to one task (e.g., V2T) and also fail to assess hallucinations in open-ended, free-form responses. To address this gap, we propose FIFA, a unified FaIthFulness evAluation framework that extracts comprehensive descriptive fact…