SCOUT: Prefetching for Latent Structure Following Queries
Summary: SCOUT is a structure-aware prefetcher for interactive spatial query sequences over large latent models (e.g., arterial trees, neuron fibers). It builds an approximate graph from past queries to infer the followed structure, achieving 71–92% accuracy and 4×–15× speedups across domains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Farhan Tauheed
- 2. Thomas Heinis
- 3. Felix Schurmann
- 4. Henry Markram
- 5. Anastasia Ailamaki
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,552 | Overview of Data Exploration Techniques | 2015 | SIGMOD | 0.00011408814 |
| 6,444 | Evaluating Interactive Data Systems: Workloads, Metrics, and Guidelines | 2018 | SIGMOD | 5.059132e-05 |
| 6,842 | Towards Democratizing Relational Data Visualization | 2019 | SIGMOD | 4.9103931e-05 |
| 8,412 | T-Part: Partitioning of Transactions for Forward-Pushing in Deterministic Database Systems | 2016 | SIGMOD | 4.5204377e-05 |
| 11,021 | SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads | 2024 | VLDB | 4.1945683e-05 |
| 12,034 | Data-driven Neuroscience: Enabling Breakthroughs Via Innovative Data Management | 2013 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,497 | Efficient Query Processing on Unstructured Tetrahedral Meshes | 2006 | SIGMOD | 4.1945683e-05 |
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