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Packing Experiments for Sharing and Publication

Summary: ReproZip automatically captures provenance, dependencies, and variables and packs them into portable bundles for reproducible experiments. Reviewers can unpack on diverse platforms without extra installs, enabling verification of results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4740
Venue
SIGMOD
Year
2013
Pagerank
5.9425753e-05
Overall Rank
6,224 | 57.30%
DOI
10.1145/2463676.2465269

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chirigati_sigmod13,
        title = {{Packing Experiments for Sharing and Publication}},
        author = {Chirigati, Fernando and Shasha, Dennis and Freire, Juliana},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465269},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465269},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
5,914 ReproZip: Computational Reproducibility With Ease 2016 SIGMOD 6.0439255e-05
12,142 Janiform Intra-Document Analytics for Reproducible Research 2015 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
919 Provenance and Scientific Workflows: Challenges and Opportunities 2008 SIGMOD 0.00013214041
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