On the Power of Relaxed Local Decoding Algorithms
Tom Gur, Oded Lachish
Abstract
A locally decodable code (LDC) C : 0, 1 k → 0, 1 n is an error correcting code that admits algorithms for recovering individual bits of the message by only querying a few bits of a noisy codeword. LDCs found a myriad of applications both in theory and in practice, ranging from probabilistically checkable proofs to distributed storage. However, despite nearly two decades of extensive study, the best known constructions of LDCs with O(1)-query decoding algorithms have super-polynomial blocklength.
The notion of relaxed LDCs is a natural relaxation of LDCs, which aims to bypass the foregoing barrier by requiring local decoding of nearly all individual message bits, yet allowing decoding failure (but not error) on the rest. State of the art constructions of O(1)-query relaxed LDCs achieve blocklength n = O k 1+γ for an arbitrarily small constant γ.
Using algorithmic and combinatorial techniques, we prove an impossibility result, showing that codes with blocklength n = k 1+o(1) cannot be relaxed decoded with O(1)-query algorithms. This resolves an open problem raised by Goldreich in 2004.
- Tom Gur is supported by the UKRI Future Leaders Fellowship MR/S031545/1.
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Install the CLIlune papers fulltext df8a2e88-fa48-4732-9811-8ecd8b9be6ceCited by top-tier papers8
- A Structural Theorem for Local Algorithms with Applications to Coding, Testing, and PrivacyMarcel de Sena Dall'Agnol, Tom Gur, Oded LachishSODA 2021 · 10 citations
- 3-Query RLDCs Are Strictly Stronger Than 3-Query LDCsTom Gur, Dor Minzer, Guy Weissenberg, Kai Zhe ZhengSTOC 2026 · 8 citations
- Exponential Lower Bounds for Locally Decodable and Correctable Codes for Insertions and DeletionsJeremiah Blocki, Kuan Cheng, Elena Grigorescu, Xin Li et al.FOCS 2021 · 5 citations
- Nearly Tight Lower Bounds for Relaxed Locally Decodable Codes via Robust DaisiesGuy Goldberg, Tom Gur, Sidhant SaraogiSTOC 2026 · 5 citations
- Relaxed vs. Full Local Decodability with Few Queries: Equivalence and Separations for Linear CodesElena Grigorescu, Vinayak M. Kumar, Peter Manohar, Geoffrey MonSTOC 2026 · 4 citations
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