Back to papers
Unified Lineage System: Tracking Data Provenance at Scale
Summary: ULS is an end-to-end lineage aggregator tracking data flows across heterogeneous assets with a general cross-asset model. It stitches traces, enables multi-granularity navigation, and offers tunable precision/recall, scaling to billions of nodes/edges in Meta for 100+ use cases including privacy.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7122
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,429 | 27.52%
- DOI
-
10.1145/3722212.3724458
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 395 |
One Trillion Edges: Graph Processing at Facebook-Scale |
2015 |
VLDB |
0.00024440144 |
| 593 |
Lineage Tracing for General Data Warehouse Transformations |
2001 |
VLDB |
0.0001952223 |
| 1,616 |
Realtime Data Processing at Facebook |
2016 |
SIGMOD |
0.00011133818 |
| 1,763 |
Efficient Lineage Tracking For Scientific Workflows |
2008 |
SIGMOD |
0.00010626896 |
| 1,864 |
Efficient Provenance Storage |
2008 |
SIGMOD |
0.00010277171 |
| 1,972 |
Approximate Lineage for Probabilistic Databases |
2008 |
VLDB |
9.8937766e-05 |
| 2,030 |
Titian: Data Provenance Support in Spark |
2016 |
VLDB |
9.734332e-05 |
| 2,031 |
Putting Lipstick on Pig: Enabling Database-style Workflow Provenance |
2012 |
VLDB |
9.7341007e-05 |
| 2,286 |
SMOKE: Fine-grained Lineage at Interactive Speed |
2018 |
VLDB |
9.102574e-05 |
| 2,529 |
Provenance Management in Curated Databases |
2006 |
SIGMOD |
8.5944731e-05 |
| 2,658 |
Data Warehousing and Analytics Infrastructure at Facebook |
2010 |
SIGMOD |
8.3634079e-05 |
| 3,158 |
Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems |
2019 |
VLDB |
7.466958e-05 |
| 4,779 |
LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems |
2021 |
SIGMOD |
5.9259373e-05 |
| 5,088 |
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture |
2020 |
VLDB |
5.7023581e-05 |
| 5,718 |
Lineage-driven Fault Injection |
2015 |
SIGMOD |
5.3552421e-05 |
| 6,700 |
Approximate Summaries for Why and Why-not Provenance |
2020 |
VLDB |
4.9534371e-05 |
| 7,709 |
Ananke: A Streaming Framework for Live Forward Provenance |
2021 |
VLDB |
4.667502e-05 |
| 8,166 |
Capturing and Querying Fine-grained Provenance of Preprocessing Pipelines in Data Science |
2021 |
VLDB |
4.567959e-05 |
| 8,725 |
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs |
2023 |
VLDB |
4.453957e-05 |
| 8,965 |
Computing How-Provenance for SPARQL Queries via Query Rewriting |
2021 |
VLDB |
4.4163852e-05 |
| 9,204 |
Compact, Tamper-Resistant Archival of Fine-Grained Provenance |
2021 |
VLDB |
4.3701044e-05 |
| 9,752 |
Microsoft Purview: A System for Central Governance of Data |
2023 |
VLDB |
4.2856385e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 5,088 |
Improving Reproducibility of Data Science Pipelines through Transparent Provenance Capture |
2020 |
VLDB |
5.7023581e-05 |
| 8,725 |
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs |
2023 |
VLDB |
4.453957e-05 |
| 9,204 |
Compact, Tamper-Resistant Archival of Fine-Grained Provenance |
2021 |
VLDB |
4.3701044e-05 |
| 2,903 |
Data Provenance at Internet Scale: Architecture, Experiences, and the Road Ahead |
2017 |
CIDR |
7.9403877e-05 |
| 5,854 |
Tracing Lineage Beyond Relational Operators |
2007 |
VLDB |
5.2982313e-05 |
| 4,785 |
Ibis: A Provenance Manager for Multi-Layer Systems |
2011 |
CIDR |
5.9196501e-05 |
| 593 |
Lineage Tracing for General Data Warehouse Transformations |
2001 |
VLDB |
0.0001952223 |
| 3,158 |
Fine-Grained, Secure and Efficient Data Provenance on Blockchain Systems |
2019 |
VLDB |
7.466958e-05 |
| 11,670 |
Ursprung: Provenance for Large-Scale Analytics Environments |
2019 |
SIGMOD |
4.1905499e-05 |
| 1,763 |
Efficient Lineage Tracking For Scientific Workflows |
2008 |
SIGMOD |
0.00010626896 |