Fine-Grained Lineage for Safer Notebook Interactions
Summary: nbsafety, a Jupyter kernel, attaches fine-grained lineage to cell execution and global notebook state via runtime tracing and static analysis. Prevents unsafe interactions while preserving semantics; evaluated on 666 sessions, detects 117 safety issues, and guides reruns ~7× more than random. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Stephen Macke (University of California Berkeley; University of Illinois Urbana-Champaign)
- 2. Hongpu Gong (University of California Berkeley)
- 3. Doris Jung-Lin Lee (University of California Berkeley)
- 4. Andrew Head (University of California Berkeley)
- 5. Doris Xin (University of California Berkeley)
- 6. Aditya Parameswaran (University of California Berkeley)
BibTeX Citation
@article{macke_vldb21,
title = {{Fine-Grained Lineage for Safer Notebook Interactions}},
author = {Macke, Stephen and Gong, Hongpu and Lee, Doris Jung-Lin and Head, Andrew and Xin, Doris and Parameswaran, Aditya},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {6},
pages = {1093--1101},
doi = {10.14778/3447689.3447712},
url = {https://doi.org/10.14778/3447689.3447712},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,334 | LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems | 2021 | SIGMOD | 6.6569314e-05 |
| 5,900 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.9544996e-05 |
| 8,076 | Provenance-Enabled Explainable AI | 2024 | SIGMOD | 5.3942942e-05 |
| 9,713 | CHEX: Multiversion Replay with Ordered Checkpoints | 2022 | VLDB | 5.1370211e-05 |
| 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 5.0715586e-05 |
| 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 5.0455234e-05 |
| 13,747 | Automating State Management in Computational Notebooks | 2021 | CIDR | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059752575 |
| 709 | Archiving Scientific Data | 2002 | SIGMOD | 0.00014609018 |
| 896 | Froid: Optimization of Imperative Programs in a Relational Database | 2018 | VLDB | 0.00013209291 |
| 943 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.00012945546 |
| 1,355 | Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff | 2015 | VLDB | 0.0001092646 |
| 1,746 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.7341914e-05 |
| 2,641 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 8.1787073e-05 |
| 4,061 | Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates | 2020 | SIGMOD | 6.824809e-05 |
| 4,149 | SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns | 2020 | SIGMOD | 6.7796171e-05 |
| 6,046 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.9052121e-05 |
| 7,438 | DBridge: Translating Imperative Code to SQL | 2017 | SIGMOD | 5.5272264e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,641 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD |
| 2 | 1,293 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD |
| 3 | 7,208 | Dataset Relationship Management | 2019 | CIDR |
| 4 | 11,147 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD |
| 5 | 6,046 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR |
| 6 | 10,151 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB |
| 7 | 10,279 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB |
| 8 | 13,747 | Automating State Management in Computational Notebooks | 2021 | CIDR |
| 9 | 13,807 | Towards Understanding Data Analysis Workflows using a Large Notebook Corpus | 2019 | SIGMOD |
| 10 | 5,900 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB |