Ribbon: Fast Succinct Static Retrieval and Approximate Membership

Given a set 𝑆 βŠ† U and a function 𝑓 : 𝑆 β†’ {0, 1}$^π‘Ÿ$ , a static retrieval data structure for 𝑓 supports queries that return 𝑓 (π‘₯) for π‘₯ ∈ 𝑆 and an arbitrary value from {0, 1}π‘Ÿ for π‘₯ ∈ U \ 𝑆. Retrieval data structures can be used to implement a static approximate membership query (AMQ) data structure, i.e., a Bloom filter alternative, with false positive rate 2$^{βˆ’π‘Ÿ}$ . The information-theoretic space lower bound for both tasks is π‘Ÿ |𝑆 | bits, and here we aim to use space π‘Ÿ |𝑆 |(1 + πœ€) bits for a small overhead πœ€, including succinct constructions with πœ€ = π‘œ (1).

Authors

Publication Details

Journal
Repository KITopen (Karlsruhe Institute of Technology)
Published
2026-01-01
DOI
https://doi.org/10.5445/ir/1000191446
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ribbon: Fast Succinct Static Retrieval and Approximate Membership

Peter C. Dillinger, Martin Dietzfelbinger, Lorenz HΓΌbschle, Stefan Walzer et al.
Repository KITopen (Karlsruhe Institute of Technology)
Algorithms and Data Compression
article

Ribbon: Fast Succinct Static Retrieval and Approximate Membership

Peter C. Dillinger, Martin Dietzfelbinger, Lorenz HΓΌbschle, Stefan Walzer, Peter Sanders
article en

Abstract

Given a set 𝑆 βŠ† U and a function 𝑓 : 𝑆 β†’ {0, 1}$^π‘Ÿ$ , a static retrieval data structure for 𝑓 supports queries that return 𝑓 (π‘₯) for π‘₯ ∈ 𝑆 and an arbitrary value from {0, 1}π‘Ÿ for π‘₯ ∈ U \ 𝑆. Retrieval data structures can be used to implement a static approximate membership query (AMQ) data structure, i.e., a Bloom filter alternative, with false positive rate 2$^{βˆ’π‘Ÿ}$ . The information-theoretic space lower bound for both tasks is π‘Ÿ |𝑆 | bits, and here we aim to use space π‘Ÿ |𝑆 |(1 + πœ€) bits for a small overhead πœ€, including succinct constructions with πœ€ = π‘œ (1).

Repository KITopen (Karlsruhe Institute of Technology)
Reduced inequalities
Openalex Percentile: Top 10%
Algorithms and Data Compression
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.