Hist-Tree: Those Who Ignore It Are Doomed to Learn

Summary: Argues learned indexes' gains largely reflect implicit assumptions (sortedness/range) rather than ML modeling, and that a traditional structure can exploit them. Proposes Hist-Tree — a histogram-based tree with a compact read-only layout — that outperforms RMI, PGM, and RadixSpline by up to 1.8–2.7× lookup latency. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 419
Venue: CIDR
Year: 2021
Pagerank: 5.6548237e-05
Overall Rank: 5,154 | 64.19%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Andrew Crotty

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,614	SNARF: A Learning-Enhanced Range Filter	2022	VLDB	6.9124805e-05
4,056	Are Updatable Learned Indexes Ready?	2022	VLDB	6.4905689e-05
5,072	Learned Index: A Comprehensive Experimental Evaluation	2023	VLDB	5.7121108e-05
6,298	Towards instance-optimized data systems	2021	VLDB	5.1182917e-05
6,723	A Critical Analysis of Recursive Model Indexes	2022	VLDB	4.9449538e-05
8,079	Accelerating String-key Learned Index Structures via Memoization-based Incremental Training	2024	VLDB	4.5873372e-05
8,408	The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures	2022	VLDB	4.5159669e-05
9,351	Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs	2024	SIGMOD	4.3490308e-05
10,038	Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis]	2026	SIGMOD	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
101	The Case for Learned Index Structures	2018	SIGMOD	0.00049778866
104	Making B+-Trees Cache Conscious in Main Memory	2000	SIGMOD	0.00049475932
240	Cache Conscious Indexing for Decision-Support in Main Memory	1999	VLDB	0.00031526134
382	FAST: Fast Architecture Sensitive Tree Search on Modern CPUs and GPUs	2010	SIGMOD	0.00024888997
796	SageDB: A Learned Database System	2019	CIDR	0.00016541749
819	ALEX: An Updatable Adaptive Learned Index	2020	SIGMOD	0.00016237497
844	The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds	2020	VLDB	0.00015964123
1,365	FITing-Tree: A Data-aware Index Structure	2019	SIGMOD	0.00012379754
1,438	Benchmarking Learned Indexes	2021	VLDB	0.00011965956
1,464	Learning Multi-dimensional Indexes	2020	SIGMOD	0.0001184772
1,887	Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads	2021	VLDB	0.00010201938
2,734	Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search?	2019	SIGMOD	8.2082721e-05

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