Full Papers

TitleAuthors
ReproDB: An Open Platform for Discovering Research Artifacts and Analyzing their Evaluation in Security and SystemsAnjo Vahldiek-Oberwagner, Marton Bognar, and Salvatore Signorello
CodeR3: A GenAI-Powered Scientific Workflow Repair and Revival EcosystemAsif Zaman, Kallol Naha, Khalid Belhajjame, and Hasan M. Jamil
Active Reproducibility for File-Based Exploratory ScienceAnthony Westbrook, Bocheng Cui, Lakshmi Ongolu, and Elizabeth Varki
Record and Replay Methods for Software Engineering Reproducibility: A Cross-Layer Survey and TaxonomyChenxi Hou, Chun Jie Chong, Mahya Samdaliri, Sichao Liu, and Zhihao Yao
Reproducibility Challenges in Computational Network Science: Evidence, Causes, and RecommendationsAkrati Saxena
Measuring Reproducibility in LLM Research: A Rubric and Cross-Topic Corpus StudyChun Jie Chong, Chenxi Hou, Sichao Liu, and Zhihao Yao
Mutating the ‘Immutable’: A Large-Scale Study of Git Tag AlterationsSolal Rapaport, Laurent Pautet, Samuel Tardieu, Stefano Zacchiroli, and Théo Zimmermann
A Framework for Traceability in the Archival of Model-Based ExperimentsRakshit Mittal, Hans Vangheluwe, and Dominique Blouin
Reproducibility of the NeurIPS 2020 Black-Box Optimization Challenge: Re-evaluating Competition SubmissionsIvan Raytchinov, Marie Anastacio, Anja Jankovic, Odd Erik Gundersen, and Holger H. Hoos
Understanding or Imitation? Auditing Conceptual Understanding and Reasoning in Large Language ModelsMuhammad Saram Hassan, Essa Jan, Ramneet Kaur, Eric Yeh, Fareed Zaffar, and Ashish Gehani
AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding AgentsBhanu Prakash Vangala, Ashish Gehani, and Tanu Malik

Short Papers

TitleAuthors
Reproducibility and Impact of AI ResearchYevgeniy Vorobeychik and Elaine Choy
Revisiting Incremental Skip-gram for Dynamic Network EmbeddingAkrati Saxena and Ella Has
Code Quality Predicts Community Engagement not Citation Impact: Evidence from 508 Research RepositoriesMayank Kejriwal
Enriching Experiment Artifacts with LLMs for Comprehensive and Understandable DocumentationKilian Warmuth, Eric Hauser, Daniel Petri, Marcel Kempf, and Georg Carle
Modernizing a legacy Python research codebase using uv and SionnaMarius Arvinte
Where Reproducibility Breaks First: Automated Environment Analysis of 1,000 CS PapersOorjit Chowdhary and Rob Fatland
Measuring Ease of Reuse for Security Research Artifacts with Results-Reproduced BadgesJelena Mirkovic, Qishen Sam Liang, and David Balenson
It Works, But Why? A Case Study of Artifact Consumption in Machine Learning SystemsAnsh Sarkar and Fraida Fund