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The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds

Summary: Introduces PGM-index, the first fully dynamic learned index with provable worst-case bounds and optimal static predecessor/range performance. Distribution-aware, repetitive-model compression, and multicriteria variants yield orders-of-magnitude space savings over B+-trees. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h5389ed8b56536601
Venue
VLDB
Year
2020
Pagerank
0.00017804544
Overall Rank
463 | 96.89%
DOI
10.14778/3389133.3389135

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ferragina_vldb20,
        title = {{The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds}},
        author = {Ferragina, Paolo and Vinciguerra, Giorgio},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {8},
        pages = {1162--1175},
        doi = {10.14778/3389133.3389135},
        url = {https://doi.org/10.14778/3389133.3389135},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 27 of 77 citing papers.

Rank Citing Paper Year Venue Pagerank
9,646 Are Joins over LSM-trees Ready? Take RocksDB as an Example 2025 VLDB 5.1453267e-05
9,777 Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] 2026 SIGMOD 5.1314952e-05
9,910 Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects 2025 VLDB 5.1103839e-05
9,918 Route Travel Time Estimation on A Road Network Revisited: Heterogeneity, Proximity, Periodicity and Dynamicity 2023 VLDB 5.1103839e-05
10,078 Accelerating Approximate Nearest Neighbor Search in Hierarchical Graphs: Efficient Level Navigation with Shortcuts 2025 VLDB 5.0830849e-05
10,168 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 5.0682654e-05
10,185 SWIX: A Memory-efficient Sliding Window Learned Index 2024 SIGMOD 5.0651993e-05
10,322 SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index 2026 SIGMOD 5.0346745e-05
10,473 L3: A GPU-Native Co-Designed Data Format for Learned Lossless Lightweight Compression 2026 SIGMOD 4.9793485e-05
10,474 LICO: An SIMD-Aware High-Performance Learned Inverted Index Compression Framework 2026 SIGMOD 4.9793485e-05
10,475 LINE: A Learned Index with Group-Enhanced Leaves and Cache-Optimized Inner Tree 2026 SIGMOD 4.9793485e-05
10,480 Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions 2026 SIGMOD 4.9793485e-05
10,489 On Self-Designing Learned Indexes 2026 SIGMOD 4.9793485e-05
10,525 Fast Indexing for Temporal Information Retrieval 2026 SIGMOD 4.9793485e-05
10,575 High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff 2026 SIGMOD 4.9793485e-05
10,645 From Learning to Recycling: A Log-Structured Learned-Less Index 2026 SIGMOD 4.9793485e-05
10,648 HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads 2026 SIGMOD 4.9793485e-05
10,751 Toward Drift-Aware Database Benchmarking 2026 VLDB 4.9793485e-05
10,764 Kirin: Efficient In-Storage Learned Compaction for LSM-Trees via System-Algorithm Co-Design 2026 VLDB 4.9793485e-05
10,844 Rethinking Learned Index and LSM-tree Integration 2026 VLDB 4.9793485e-05
11,015 Vodka: Rethink Benchmarking Philosophy in HTAP Systems 2026 VLDB 4.9793485e-05
11,064 LiBox: A Learned Index as an Array to Minimize Last-Mile Search 2026 VLDB 4.9793485e-05
11,070 Learned Static Function Data Structures 2026 VLDB 4.9793485e-05
11,122 VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity 2025 SIGMOD 4.9793485e-05
11,332 Not Small Enough? SegPQ: A Learned Approach to Compress Product Quantization Codebooks 2025 VLDB 4.9793485e-05
11,342 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 4.9793485e-05
11,414 LETIndex: A Secure Learned Index with TEE 2025 VLDB 4.9793485e-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.

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