Database Paper Browser

Back to papers

Automating State Management in Computational Notebooks

Summary: Automates management of implicit mutable state in Jupyter notebooks to enable reproducible, order-independent execution and tighter interactive feedback. Uses provenance tracking, cell-dependency analysis, and automated checkpoints/rollback to reconcile exploration with correctness. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
394
Venue
CIDR
Year
2021
Pagerank
-
Overall Rank
13,230 | 7.97%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
6,409 Fine-Grained Lineage for Safer Notebook Interactions 2021 VLDB 5.0756653e-05
Previous Page 1 / 1 Next

Semantically Similar Papers