Kishu: Time-Traveling for Computational Notebooks
Summary: Kishu provides time-travel for computational notebooks via fault-tolerant, incremental checkpoints at a novel co-variable granularity that preserves complex inter-variable dependencies across many data-science object classes. It computes state diffs to perform incremental checkouts with sub-second latency and minimal loading, cutting checkpoint size and restore time up to 4.55x and 9.02x. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Zhaoheng Li
- 2. Supawit Chockchowwat
- 3. Ribhav Sahu
- 4. Areet Sheth
- 5. Yongjoo Park
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,286 | QStore: Quantization-Aware Compressed Model Storage | 2026 | VLDB | 4.1945683e-05 |
| 10,302 | Chipmink: Efficient Delta Identification for Massive Object Graphs | 2026 | VLDB | 4.1945683e-05 |
| 10,434 | Demo of Kishu: Time-Traveling for Computational Notebooks | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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