{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T11:04:07Z","timestamp":1753355047112},"reference-count":33,"publisher":"Association for Computing Machinery (ACM)","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2020,12]]},"abstract":"<jats:p>\n            Data provenance tools aim to facilitate reproducible data science and auditable data analyses, by tracking the processes and inputs responsible for each result of an analysis.\n            <jats:italic>Fine-grained<\/jats:italic>\n            provenance further enables sophisticated reasoning about why individual output results appear or fail to appear. However, for reproducibility and auditing, we need a\n            <jats:italic>provenance archival system<\/jats:italic>\n            that is\n            <jats:italic>tamper-resistant<\/jats:italic>\n            , and efficiently stores provenance for computations computed over time (i.e., it compresses repeated results). We study this problem, developing solutions for storing fine-grained provenance in relational storage systems while both compressing and protecting it via cryptographic hashes. We experimentally validate our proposed solutions using both scientific and OLAP workloads.\n          <\/jats:p>","DOI":"10.14778\/3436905.3436909","type":"journal-article","created":{"date-parts":[[2021,2,22]],"date-time":"2021-02-22T17:23:50Z","timestamp":1614014630000},"page":"485-497","source":"Crossref","is-referenced-by-count":5,"title":["Compact, tamper-resistant archival of fine-grained provenance"],"prefix":"10.14778","volume":"14","author":[{"given":"Nan","family":"Zheng","sequence":"first","affiliation":[{"name":"University of Pennsylvania"}]},{"given":"Zachary G.","family":"Ives","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}]}],"member":"320","published-online":{"date-parts":[[2021,2,22]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1142473.1142548"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.14778\/2095686.2095693"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1989284.1989302"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1516360.1516470"},{"key":"e_1_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Jean-Philippe Aumasson Samuel Neves Zooko Wilcox-O'Hearn and Christian Winnerlein. 2013. 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