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DILI: A Distribution-Driven Learned Index
Summary: DILI: distribution-driven learned-index tree using cheap linear models at nodes; internal nodes equally partition ranges to guarantee correct leaf routing, leaves use ML to predict record positions. Built bottom-up then top-down to tailor fanouts to local distributions, balancing leaf count vs height, with efficient insert/delete and adaptive restructuring; outperforms prior learned indexes.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13072
- Venue
- VLDB
- Year
- 2023
- Pagerank
- 5.5713974e-05
- Overall Rank
- 5,319 | 63.00%
- DOI
-
10.14778/3598581.3598593
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 5,762 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3377299e-05 |
| 7,869 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
4.6315248e-05 |
| 7,894 |
LITS: An Optimized Learned Index for Strings |
2024 |
VLDB |
4.6240341e-05 |
| 8,076 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
4.5917398e-05 |
| 8,101 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
4.5854141e-05 |
| 9,746 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
4.2897489e-05 |
| 10,038 |
Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,087 |
High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,172 |
HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,312 |
A Workload-Aware Encrypted Index for Efficient Privacy-Preserving Range Queries |
2026 |
VLDB |
4.1945683e-05 |
| 10,396 |
VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,712 |
DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees |
2025 |
VLDB |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 102 |
The Case for Learned Index Structures |
2018 |
SIGMOD |
0.00049545203 |
| 801 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016505496 |
| 826 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016224841 |
| 857 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00015882892 |
| 1,375 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00012303141 |
| 1,460 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011887068 |
| 1,478 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.00011762542 |
| 1,889 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00010200865 |
| 1,913 |
BF-Tree: Approximate Tree Indexing |
2014 |
VLDB |
0.00010113937 |
| 2,115 |
LISA: A Learned Index Structure for Spatial Data |
2020 |
SIGMOD |
9.5257379e-05 |
| 2,552 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5530411e-05 |
| 2,678 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
8.3252088e-05 |
| 2,865 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
7.9862595e-05 |
| 3,131 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
7.4985793e-05 |
| 4,084 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
6.4622113e-05 |
| 4,128 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4292373e-05 |
| 4,646 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
6.0250374e-05 |
| 5,642 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
5.3929294e-05 |
| 8,811 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
4.4441574e-05 |
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