Cover Image

Can citations tell us about a paper's reproducibility? A case study of machine learning papers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Obadage, Rochana R., Rajtmajer, Sarah M., Wu, Jian
Format:	Preprint
Published:	2024
Subjects:	Digital Libraries Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

[Re] Network Deconvolution
by: Obadage, Rochana R., et al.
Published: (2024)

CC30k: A Citation Contexts Dataset for Reproducibility-Oriented Sentiment Analysis
by: Obadage, Rochana R., et al.
Published: (2025)

Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articles
by: Koneru, Sai, et al.
Published: (2026)

Transfer Learning Approach for Railway Technical Map (RTM) Component Identification
by: Rumalshan, Obadage Rochana, et al.
Published: (2024)

Forecasting high-impact research topics via machine learning on evolving knowledge graphs
by: Gu, Xuemei, et al.
Published: (2024)

Clustering scientific publications: lessons learned through experiments with a real citation network
by: Huong, Vu Thi, et al.
Published: (2025)

Predicting citation impact of research papers using GPT and other text embeddings
by: Vital Jr., Adilson, et al.
Published: (2024)

Toward Robust URL Extraction for Open Science: A Study of arXiv File Formats and Temporal Trends
by: Obadage, Rochana R., et al.
Published: (2025)

How unique are hallucinated citations offered by generative Artificial Intelligence models?
by: Spennemann, Dirk HR
Published: (2026)

Large language models for automated scholarly paper review: A survey
by: Zhuang, Zhenzhen, et al.
Published: (2025)

BenchMake: Turn any scientific data set into a reproducible benchmark
by: Barnard, Amanda S
Published: (2025)

CheckSupport: A Local LLM-Powered Tool for Automated Manuscript Submission Checklist Selection and Completion
by: Tripathi, Satvik, et al.
Published: (2026)

Explainable AI Through a Democratic Lens: DhondtXAI for D'Hondt-Projected Feature Attribution
by: Donmez, Turker Berk
Published: (2024)

Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
by: Liu, Fan, et al.
Published: (2025)

GREI Data Repository AI Taxonomy
by: Chodacki, John, et al.
Published: (2024)

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
by: Ranka, Prateek, et al.
Published: (2025)

On the Readiness of Scientific Data for a Fair and Transparent Use in Machine Learning
by: Giner-Miguelez, Joan, et al.
Published: (2024)

BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
by: Tan, Ruifeng, et al.
Published: (2025)

TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening
by: Kataoka, Yuki, et al.
Published: (2026)

LitBench: A Graph-Centric Large Language Model Benchmarking Tool For Literature Tasks
by: Varvarigos, Andreas, et al.
Published: (2026)

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models
by: Zheng, Er-Te, et al.
Published: (2024)

A multi-dimensional analysis of usage counts, Mendeley readership, and citations for journal and conference papers
by: Tian, Wencan, et al.
Published: (2024)

How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review
by: Su, Buxin, et al.
Published: (2025)

Moving Pictures of Thought: Extracting Visual Knowledge in Charles S. Peirce's Manuscripts with Vision-Language Models
by: Pedretti, Carlo Teo, et al.
Published: (2025)

On (Newcomb-)Benford's law: a tale of two papers and of their disproportionate citations. How citation counts can become biased
by: Mir, Tariq Ahmad, et al.
Published: (2025)

paper.json: A Coordination Convention for LLM-Agent-Actionable Papers
by: Canedo, Arquimedes
Published: (2026)

Large language models for post-publication research evaluation: Evidence from expert recommendations and citation indicators
by: Wu, Mengjia, et al.
Published: (2026)

How biomedical papers accumulated their clinical citations: A large-scale retrospective analysis based on PubMed
by: Li, Xin, et al.
Published: (2024)

How large is the error effect when summing or averaging nonlinear field normalization citation counts at the paper level?
by: Tang, Limi
Published: (2025)

Implicit reporting standards in bibliometric research: what can reviewers' comments tell us about reporting completeness?
by: Stephen, Dimity, et al.
Published: (2025)

Combining topic modelling and citation network analysis to study case law from the European Court on Human Rights on the right to respect for private and family life
by: Mohammadi, M., et al.
Published: (2024)

Specification uncertainty: What the disruption index tells us about the (hidden) multiverse of bibliometric indicators
by: Leibel, Christian, et al.
Published: (2024)

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
by: Alshammari, Shaden, et al.
Published: (2026)

Is ChatGPT Transforming Academics' Writing Style?
by: Geng, Mingmeng, et al.
Published: (2024)

FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
by: Xi, Sarina, et al.
Published: (2025)

'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
by: Kumar, Sandeep, et al.
Published: (2024)

Efficient Systematic Reviews: Literature Filtering with Transformers & Transfer Learning
by: Hawkins, John, et al.
Published: (2024)

LitLLMs, LLMs for Literature Review: Are we there yet?
by: Agarwal, Shubham, et al.
Published: (2024)

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models
by: Nadas, Mihai, et al.
Published: (2025)

SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
by: D'Souza, Jennifer, et al.
Published: (2025)