LiBox: A Learned Index as an Array to Minimize Last-Mile Search
Summary: LiBox: hierarchical learned index reifying the key array into disjoint boxes, where a linear model identifies the box exactly and AVX-512 often resolves the last-mile search in one shot. Predictable fixed-cost lookup with modest slack for irregularities, yielding near-array-access reads/writes and strong space efficiency. (summarized by gpt-5.4-mini on Apr 12 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Jian Zhou
- 2. Luna Wang
- 3. Shuaihua Zhao
- 4. Chen Zhong
- 5. Song Jiang
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 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 |
| 7,390 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD | 4.7431654e-05 |
| 8,811 | Tuning Hierarchical Learned Indexes on Disk and Beyond | 2022 | SIGMOD | 4.4441574e-05 |
| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
| 10,087 | High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff | 2026 | SIGMOD | 4.1945683e-05 |
| 10,169 | From Learning to Recycling: A Log-Structured Learned-Less Index | 2026 | SIGMOD | 4.1945683e-05 |
| 5,319 | DILI: A Distribution-Driven Learned Index | 2023 | VLDB | 5.5713974e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |