SALI: A Scalable Adaptive Learned Index Framework based on Probability Models

Summary: SALI: scalable adaptive learned index using probability models for data-driven lookup. Core ideas: evolving nodes to adapt to skew and boost concurrency; lightweight statistical maintenance to improve scalability on LIPP with fine-grained locks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6759
Venue: SIGMOD
Year: 2023
Pagerank: 4.6315248e-05
Overall Rank: 7,869 | 45.26%
DOI: 10.1145/3626752

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,101	Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction	2024	SIGMOD	4.5854141e-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
10,319	LiBox: A Learned Index as an Array to Minimize Last-Mile Search	2026	VLDB	4.1945683e-05
10,396	VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity	2025	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 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
333	Neo: A Learned Query Optimizer	2019	VLDB	0.00027206884
381	FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs	2010	SIGMOD	0.00024873637
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
1,312	Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes	2016	SIGMOD	0.00012652548
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
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
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
5,319	DILI: A Distribution-Driven Learned Index	2023	VLDB	5.5713974e-05
5,642	NFL: Robust Learned Index via Distribution Transformation	2022	VLDB	5.3929294e-05
5,835	Order-Preserving Key Compression for In-Memory Search Trees	2020	SIGMOD	5.30905e-05
6,445	Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices	2023	SIGMOD	5.0589805e-05
6,492	FILM: a Fully Learned Index for Larger-than-Memory Databases	2023	VLDB	5.042727e-05
6,724	A Critical Analysis of Recursive Model Indexes	2022	VLDB	4.9484506e-05
8,655	Adaptive Hybrid Indexes	2022	SIGMOD	4.4739554e-05

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10,038	Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]	2026	SIGMOD	4.1945683e-05
10,169	From Learning to Recycling: A Log-Structured Learned-Less Index	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
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