LITS: An Optimized Learned Index for Strings
Summary: LITS: a learned index for variable-length strings combining a global Hash-enhanced Prefix Table (HPT) with per-node linear models to handle skewed prefixes and reduce last-mile cost. With compact leaves and PMSS-based hybridization it beats HOT/ART up to 2.43x/2.27x on point queries and matches scan performance. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yifan Yang
- 2. Shimin Chen
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,172 | HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads | 2026 | SIGMOD | 4.1945683e-05 |
| 10,216 | The Case For Language Model Approximated LIKE Predicate | 2026 | SIGMOD | 4.1945683e-05 |
| 10,319 | LiBox: A Learned Index as an Array to Minimize Last-Mile Search | 2026 | VLDB | 4.1945683e-05 |
| 10,562 | FB+-tree: A Memory-Optimized B+-tree with Latch-Free Update | 2025 | VLDB | 4.1945683e-05 |
| 10,712 | DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees | 2025 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 |
| 826 | ALEX: An Updatable Adaptive Learned Index | 2020 | SIGMOD | 0.00016224841 |
| 1,087 | HOT: A Height Optimized Trie Index for Main-Memory Database Systems | 2018 | SIGMOD | 0.00014162909 |
| 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 |
| 4,097 | The Case for a Learned Sorting Algorithm | 2020 | SIGMOD | 6.4551616e-05 |
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 5,319 | DILI: A Distribution-Driven Learned Index | 2023 | VLDB | 5.5713974e-05 |
| 5,835 | Order-Preserving Key Compression for In-Memory Search Trees | 2020 | SIGMOD | 5.30905e-05 |
| 6,229 | When Tree Meets Hash: Reducing Random Reads for Index Structures on Persistent Memories | 2023 | SIGMOD | 5.1463389e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,169 | From Learning to Recycling: A Log-Structured Learned-Less Index | 2026 | SIGMOD | 4.1945683e-05 |
| 1,087 | HOT: A Height Optimized Trie Index for Main-Memory Database Systems | 2018 | SIGMOD | 0.00014162909 |
| 9,618 | A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach | 2025 | SIGMOD | 4.3173366e-05 |
| 1,184 | On Effective Multi-Dimensional Indexing for Strings | 2000 | SIGMOD | 0.00013455208 |
| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
| 5,157 | Hist-Tree: Those Who Ignore It Are Doomed to Learn | 2021 | CIDR | 5.6589595e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 8,076 | Accelerating String-key Learned Index Structures via Memoization-based Incremental Training | 2024 | VLDB | 4.5917398e-05 |
| 2,552 | Updatable Learned Index with Precise Positions | 2021 | VLDB | 8.5530411e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |