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Ananke: A Streaming Framework for Live Forward Provenance

Summary: Ananke extends backward provenance with live forward provenance, delivering a bipartite graph for CPS streams. Prioritizes provenance by live query activity; supports streaming with correctness guarantees and low overhead vs backward provenance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12749
Venue
VLDB
Year
2021
Pagerank
5.5904584e-05
Overall Rank
7,590 | 47.93%
DOI
10.14778/3430915.3430928

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{palyvosgiannas_vldb21,
        title = {{Ananke: A Streaming Framework for Live Forward Provenance}},
        author = {Palyvos-Giannas, Dimitris and Havers, Bastian and Papatriantafilou, Marina and Gulisano, Vincenzo},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {3},
        pages = {391--403},
        doi = {10.14778/3430915.3430928},
        url = {https://doi.org/10.14778/3430915.3430928},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
8,110 Erebus: Explaining the Outputs of Data Streaming Queries 2023 VLDB 5.484341e-05
10,320 LPStream: Fine-grained Lazy Provenance for Stream Processing 2026 SIGMOD 5.093636e-05
10,701 Unified Lineage System: Tracking Data Provenance at Scale 2025 SIGMOD 5.093636e-05
10,818 Evaluating Continuous Queries with Inconsistency Annotations 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

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

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