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PreprintCC BY 4.0arXiv

Reed-Solomon Codes at Capacity: Algorithmic List-Decoding and Proximity Gaps

Abstract

Understanding the limits of list-decodability of Reed-Solomon codes has been one of the most important open problems in algebraic coding theory. Recently, Brakensiek, Chen, Putterman, Zhang, and Zheng, in a remarkable breakthrough, showed that Reed-Solomon (RS) codes over fields of large characteristic are algorithmically list-decodable all the way up to capacity. Building on this result, Jeronimo subsequently extended these techniques to solve the proximity-gaps question for RS codes. In this article, we give a unified and transparent exposition of these results.

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BibTeX
@misc{harsha2026reedsolomon,
  title = {{Reed-Solomon Codes at Capacity: Algorithmic List-Decoding and Proximity Gaps}},
  author = {Prahladh Harsha and Mrinal Kumar and Ramprasad Saptharishi},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.08610},
  eprint = {2610.08610},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.08610},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Reed-Solomon Codes at Capacity: Algorithmic List-Decoding and Proximity Gaps
AU  - Prahladh Harsha
AU  - Mrinal Kumar
AU  - Ramprasad Saptharishi
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.08610
UR  - https://arxiv.org/abs/2610.08610
AB  - Understanding the limits of list-decodability of Reed-Solomon codes has been one of the most important open problems in algebraic coding theory. Recently, Brakensiek, Chen, Putterman, Zhang, and Zheng, in a remarkable breakthrough, showed that Reed-Solomon (RS) codes over fields of large characteristic are algorithmically list-decodable all the way up to capacity. Building on this result, Jeronimo subsequently extended these techniques to solve the proximity-gaps question for RS codes. In this article, we give a unified and transparent exposition of these results.
ER  -