Demo of Kishu: Time-Traveling for Computational Notebooks
Summary: Kishu enables time-travel in computational notebooks via lightweight incremental checkpoints and sub-second restores. It transparently tracks operations to build checkpoints and supports manual/automatic commits for undo and past-state exploration. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Zhaoheng Li
- 2. Supawit Chockchowwat
- 3. Hanxi Fang
- 4. Yongjoo Park
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,298 | QStore: Quantization-Aware Compressed Model Storage | 2026 | VLDB | 4.1905499e-05 |
| 10,314 | Chipmink: Efficient Delta Identification for Massive Object Graphs | 2026 | VLDB | 4.1905499e-05 |
| 10,892 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,161 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00013579831 |
| 2,126 | IDEBench: A Benchmark for Interactive Data Exploration | 2020 | SIGMOD | 9.4814404e-05 |
| 5,293 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.5783254e-05 |
| 5,817 | BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees | 2019 | SIGMOD | 5.3154329e-05 |
| 9,911 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 4.2524493e-05 |
| 10,892 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 4.1905499e-05 |
| 11,196 | A Step Toward Deep Online Aggregation | 2023 | SIGMOD | 4.1905499e-05 |
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| 6,295 | Your notebook is not crumby enough, REPLace it | 2020 | CIDR | 5.1200006e-05 |
| 10,887 | IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems | 2025 | VLDB | 4.1905499e-05 |
| 4,589 | Juneau: Data Lake Management for Jupyter | 2019 | VLDB | 6.0565861e-05 |
| 5,293 | Bolt-on, Compact, and Rapid Program Slicing for Notebooks | 2022 | VLDB | 5.5783254e-05 |
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| 9,911 | ElasticNotebook: Enabling Live Migration for Computational Notebooks | 2024 | VLDB | 4.2524493e-05 |
| 10,892 | Kishu: Time-Traveling for Computational Notebooks | 2025 | VLDB | 4.1905499e-05 |