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
- 2. Hongpu Gong
- 3. Doris Jung-Lin Lee
- 4. Doris Xin
- 5. Aditya Parameswaran
- 6. Andrew Head
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,774 | LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems | 2021 | SIGMOD | 5.9316087e-05 |
| 5,288 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.5836876e-05 |
| 7,482 | Provenance-Enabled Explainable AI | 2024 | SIGMOD | 4.7180617e-05 |
| 9,378 | CHEX: Multiversion Replay with Ordered Checkpoints | 2022 | VLDB | 4.3463396e-05 |
| 9,912 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 4.2565279e-05 |
| 10,888 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 4.1945683e-05 |
| 13,230 | 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 |
|---|---|---|---|---|
| 31 | Provenance Semirings | 2007 | PODS | 0.0007857786 |
| 676 | Archiving Scientific Data | 2002 | SIGMOD | 0.00018281665 |
| 923 | Provenance and Scientific Workflows: Challenges and Opportunities | 2008 | SIGMOD | 0.0001527609 |
| 1,108 | Froid: Optimization of Imperative Programs in a Relational Database | 2018 | VLDB | 0.00013984276 |
| 1,565 | Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff | 2015 | VLDB | 0.00011345567 |
| 2,280 | SMOKE: Fine-grained Lineage at Interactive Speed | 2018 | VLDB | 9.1111033e-05 |
| 3,252 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 7.3178277e-05 |
| 3,409 | SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns | 2020 | SIGMOD | 7.1270252e-05 |
| 4,648 | Aggify: Lifting the Curse of Cursor Loops using Custom Aggregates | 2020 | SIGMOD | 6.0247446e-05 |
| 6,295 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.1249204e-05 |
| 7,448 | DBridge: Translating Imperative Code to SQL | 2017 | SIGMOD | 4.7273104e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,252 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD | 7.3178277e-05 |
| 1,644 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD | 0.00011041787 |
| 6,981 | Dataset Relationship Management | 2019 | CIDR | 4.8743957e-05 |
| 10,434 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD | 4.1945683e-05 |
| 6,295 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.1249204e-05 |
| 10,888 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 4.1945683e-05 |
| 9,912 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 4.2565279e-05 |
| 13,230 | Automating State Management in Computational Notebooks | 2021 | CIDR | - |
| 13,291 | Towards Understanding Data Analysis Workflows using a Large Notebook Corpus | 2019 | SIGMOD | - |
| 5,288 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.5836876e-05 |