FILM: a Fully Learned Index for Larger-than-Memory Databases
Summary: FILM: a fully learned tree index for larger-than-memory DBs using tiny approximation models to index across memory+disk, reducing in-memory index size by orders of magnitude versus anti-caching. An adaptive LRU piggybacked on queries avoids swap overhead, improving query latency and insertion performance. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chaohong Ma
- 2. Xiaohui Yu
- 3. Yifan Li
- 4. Xiaofeng Meng
- 5. Aishan Maoliniyazi
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 7,390 | Making In-Memory Learned Indexes Efficient on Disk | 2024 | SIGMOD | 4.7431654e-05 |
| 7,869 | SALI: A Scalable Adaptive Learned Index Framework based on Probability Models | 2023 | SIGMOD | 4.6315248e-05 |
| 8,076 | Accelerating String-key Learned Index Structures via Memoization-based Incremental Training | 2024 | VLDB | 4.5917398e-05 |
| 8,671 | Algorithmic Complexity Attacks on Dynamic Learned Indexes | 2024 | VLDB | 4.4714076e-05 |
| 9,346 | Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs | 2024 | SIGMOD | 4.3532026e-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 |
| 10,396 | VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity | 2025 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 8,076 | Accelerating String-key Learned Index Structures via Memoization-based Incremental Training | 2024 | VLDB | 4.5917398e-05 |
| 1,375 | FITing-Tree: A Data-aware Index Structure | 2019 | SIGMOD | 0.00012303141 |
| 10,087 | High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff | 2026 | SIGMOD | 4.1945683e-05 |
| 1,128 | An Efficient Indexing Technique for Full-Text Database Systems | 1992 | VLDB | 0.00013794088 |
| 1,478 | Learning Multi-dimensional Indexes | 2020 | SIGMOD | 0.00011762542 |
| 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 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |