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Relaxed Local Correctability from Local Testing

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Constructs the first asymptotically good relaxed locally correctable codes that use polylogarithmic queries to recover a target bit or output failure, closing the previous superpolynomial gap. The core method is nesting an RLCC inside an LTC at many scales: high-rate locally testable codes certify progressively smaller restrictions while a single recurse on the small corrector keeps the overhead an additive query cost per level (m ≈ log n / log log n), yielding constant rate and constant decoding radius.

AI-written summary · about

  1. 0:00Introduction to RLCCs
  2. 0:20Defining relaxed LCCs
  3. 5:02Refining the RLCC definition
  4. 5:45Prior research and context
  5. 9:11The role of smoothness
  6. 9:41Lower and upper bounds
  7. 10:22Inductive approach
  8. 10:53Iterated tensor product
  9. 17:15Introducing LTCs as a tool
  10. 18:45The nesting operation
  11. 19:59Handling corruption cases
  12. 20:56Nesting mechanics
  13. 21:33Preserving code parameters
  14. 25:02Local corrector strategy
  15. 25:43Iterative construction
  16. 31:06Parameter instantiation
  17. 31:38Final construction results
  18. 35:15Closing remarks
  19. 36:28Q&A session
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