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$c^3$-Locally Testable Codes from Lossless Expanders

Information Theory · Submitted 27 Jan 2022

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim In this work, we construct a new LTC family using 1-sided lossless expanders and balanced products.

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arXiv ID2201.11369 (version 2)
Pith IDISXBCNRX, Pith's permanent record of this paper and its review
CitationMin-Hsiu Hsieh, Ting-Chun Lin. "$c^3$-Locally Testable Codes from Lossless Expanders." arXiv:2201.11369 (2022). https://pith.science/paper/ISXBCNRX
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,555 input tokens.

What the abstract itself states, as probabilities: claims first 0.12 · states limitation 0.06 · human participants 0.01 · controlled comparison 0.02 · randomized assignment 0.02 · states quantitative result 0.30 · compares with prior results 0.20 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v2. Results and the main claim are underlined; .

A locally testable code (LTC) is an error correcting code with a property tester. The tester tests if a word is codeword by reading constant random bits and rejects the word with probability proportional to the distance from the word to the closest codeword. An important open question until recently is whether there exist $c^3$-LTCs which are LTCs with constant rate, constant relative distance and constant locality. In this work, we construct a new LTC family using 1-sided lossless expanders and balanced products.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 A locally testable code (LTC) is an error correcting code with a property tester. background 1.00 0.03 0.02 asserted 1.00
s1 The tester tests if a word is codeword by reading constant random bits and rejects the word with probability proportional to the distance from the word to the closest codeword. background 1.00 0.04 0.03 asserted 1.00
s2 An important open question until recently is whether there exist $c^3$-LTCs which are LTCs with constant rate, constant relative distance and constant locality. gap 0.97 0.04 0.06 asserted 0.91
s3 In this work, we construct a new LTC family using 1-sided lossless expanders and balanced products. contribution 0.93 0.96 0.81 asserted 1.00

What kind of paper the classifier reports this is: theoretical result 0.72 · evidence from proof or derivation 1.00.

What was examined, and what was not

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  • references and citing sentences
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  • C citations
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

A locally testable code (LTC) is an error correcting code with a property tester. The tester tests if a word is codeword by reading constant random bits and rejects the word with probability proportional to the distance from the word to the closest codeword. An important open question until recently is whether there exist $c^3$-LTCs which are LTCs with constant rate, constant relative distance and constant locality. In this work, we construct a new LTC family using 1-sided lossless expanders and balanced products.

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References
How the literature uses it

9 arXiv papers cite this in 26 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 18 sentences without a confident label

Uses its method or tool 3 papers
Cites it as background 3 papers
  • Our work fits into a line of recent works on quantum LDPC codes and LTCs [ref] .

    Good Quantum LDPC Codes with Linear Time Decoders · Related work · 0.96

  • <Ref> is based on a new form of high dimensional expansion (HDX), a nascent area of computer science and math that has already seen an impressive array of breakthrough results across areas such as coding theory [ref] , approximate sampling [ref] , approximation algorithms [ref] , analysis of boolean functions [ref] , agreement testing [ref] , and, recently, Sum-of-Squares lower bounds [ref] .

    Explicit Lower Bounds Against $\Omega(n)$-Rounds of Sum-of-Squares · High Dimensional Small-Set Expanders · 0.96

  • These objects are applicable to various areas of computer science, including error-correcting codes [ref] , proof complexity [ref] , networks and distributed algorithms [ref] , and compressed sensing [ref] , among others.

    New Explicit Constant-Degree Lossless Expanders · Introduction · 0.98

What it cites · 5 sentences without a confident label

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