From Theory to Practice: Plug and Play with Succinct Data Structures
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Abstract (arXiv)
Engineering efficient implementations of compact and succinct structures is a time-consuming and challenging task, since there is no standard library of easy-to- use, highly optimized, and composable components. One consequence is that measuring the practical impact of new theoretical proposals is a difficult task, since older base- line implementations may not rely on the same basic components, and reimplementing from scratch can be very time-consuming. In this paper we present a framework for experimentation with succinct data structures, providing a large set of configurable components, together with tests, benchmarks, and tools to analyze resource requirements. We demonstrate the functionality of the framework by recomposing succinct solutions for document retrieval.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Nov 2013.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 2; 2025: 2.
6 papers.
- 2024RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generationcited by 20
- 2023Koala: An Index for Quantifying Overlaps with Pre-training Corporacited by 19
- 2025Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Indexcited by 14
- 2021GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebracited by 10
- 2024Learned Compression of Nonlinear Time Series With Random Accesscited by 1
- 2025jXBW: A Compressed Index Enabling Structure-Aware JSONL Retrieval for Structured RAGcited by 0
- 2025jXBW: A Compressed Index Enabling Structure-Aware JSONL Retrieval for Structured RAG18 Aug 2025
- 2025Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index13 Jun 2025
- 2024Learned Compression of Nonlinear Time Series With Random Access20 Dec 2024
- 2024RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation16 Dec 2024
- 2023Koala: An Index for Quantifying Overlaps with Pre-training Corpora26 Mar 2023
- 2021GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra5 Mar 2021