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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fast Succinct Retrieval and Approximate Membership using Ribbon · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2109.01892/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2109.01892/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fast Succinct Retrieval and Approximate Membership using Ribbon — mentioned by f_devd</title><link>https://news.ycombinator.com/item?id=43869787</link><guid isPermaLink="false">urn:hackerpapers:mention:2109.01892:43869787</guid><pubDate>Fri, 02 May 2025 13:54:03 GMT</pubDate><description>&lt;p&gt;Also based on Ribbon, the BuRR filters: https://arxiv.org/pdf/2109.01892 which seem to get very close to the theoretical optimum, 0.1%-0.5% overhead comparatively&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2109.01892/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item><item><title>Fast Succinct Retrieval and Approximate Membership using Ribbon — mentioned by judofyr</title><link>https://news.ycombinator.com/item?id=40446321</link><guid isPermaLink="false">urn:hackerpapers:mention:2109.01892:40446321</guid><pubDate>Wed, 22 May 2024 20:47:49 GMT</pubDate><description>&lt;p&gt;Very interesting and I&amp;#x27;ll have to read more to understand how it fully works, but _initially_ the space requirements doesn&amp;#x27;t seem too impressive? Am I missing something here? Is my calculation/assumption completely off? Maybe the solution here is more flexible? One alternative approach for many of these problems is to start with a perfect minimal hash function which hashes your key into a unique number [0, N) and then have a packed array of size N where each element is of a fixed byte size. To look up the value you first use the hash function to get an index, and then you look up in the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2109.01892/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DS</category></item></channel></rss>
