A Critical Analysis of Recursive Model Indexes
Summary: Broad, inventor-independent analysis of Recursive Model Indexes reveals that hyperparameters beyond model type and layer size--notably error bounds and search strategies--impact performance. A simple configuration guideline delivers competitive RMIs and learned indexes without costly enumeration, with 2.5x--6.3x build-time speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Marcel Maltry (Saarland University)
- 2. Jens Dittrich (Saarland University)
BibTeX Citation
@article{maltry_vldb22,
title = {{A Critical Analysis of Recursive Model Indexes}},
author = {Maltry, Marcel and Dittrich, Jens},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {5},
pages = {1079--1091},
doi = {10.14778/3510397.3510405},
url = {https://doi.org/10.14778/3510397.3510405},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,590 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 8.2368464e-05 |
| 3,632 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 7.1274345e-05 |
| 5,982 | Towards instance-optimized data systems | 2021 | VLDB | 5.9096991e-05 |
| 6,802 | SALI: A Scalable Adaptive Learned Index Framework based on Probability Models | 2023 | SIGMOD | 5.6623052e-05 |
| 8,419 | The Case for Learned In-Memory Joins | 2023 | VLDB | 5.3198816e-05 |
| 9,627 | Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs | 2024 | SIGMOD | 5.1369088e-05 |
| 9,814 | Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] | 2026 | SIGMOD | 5.1121061e-05 |
| 11,191 | VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity | 2025 | SIGMOD | 4.9605343e-05 |
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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 |
|---|---|---|---|---|
| 40 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046249672 |
| 74 | Automatic Database Management System Tuning Through Large-scale Machine Learning | 2017 | SIGMOD | 0.00037164008 |
| 224 | Self-Driving Database Management Systems | 2017 | CIDR | 0.00023973185 |
| 280 | FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs | 2010 | SIGMOD | 0.00022267903 |
| 320 | DeepDB: Learn from Data, not from Queries! | 2020 | VLDB | 0.00021128745 |
| 427 | ALEX: An Updatable Adaptive Learned Index | 2020 | SIGMOD | 0.00018429918 |
| 461 | The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds | 2020 | VLDB | 0.00017835351 |
| 774 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.00014063511 |
| 834 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00013539098 |
| 3,207 | CDFShop: Exploring and Optimizing Learned Index Structures | 2020 | SIGMOD | 7.5187675e-05 |
| 4,727 | Hist-Tree: Those Who Ignore It Are Doomed to Learn | 2021 | CIDR | 6.4327925e-05 |
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| 1 | 4,727 | Hist-Tree: Those Who Ignore It Are Doomed to Learn | 2021 | CIDR |
| 2 | 11,424 | Benchmarking Adaptive Multidimensional Indices | 2025 | VLDB |
| 3 | 4,726 | Learned Index Benefits: Machine Learning Based Index Performance Estimation | 2022 | VLDB |
| 4 | 7,314 | Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction | 2024 | SIGMOD |
| 5 | 3,207 | CDFShop: Exploring and Optimizing Learned Index Structures | 2020 | SIGMOD |
| 6 | 4,621 | The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures | 2022 | SIGMOD |
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| 9 | 834 | Benchmarking Learned Indexes | 2021 | VLDB |
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