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Sharp Limits for High-Dimensional Learning with Spectral Structure

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Printed source title: Sharp Limits for High-Dimensional Learning with Spectral Structure

Original byline: Not clearly identified in PDF · Archive author: Han Jae Jun

Manuscript year: 2026 · Not asserted as a peer-reviewed publication.

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Original embedded PDF: 10 pages · 277353 bytes
Original SHA-256: 9f1a78562582b9234e25ae56945d4fa42a15e5797064856c909571540b59d59f
Public Google Drive copy: 320917 bytes
Public copy SHA-256: 2874a39784cdee6fb91fd2b6fad71a45e6e881989e3ec3d82d55573a0ddb0d68

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Original ZIPNATURE_CURSE_DIMENSIONALITY_COMPLETE_SUBMISSION_20261008.zip
Main PDFpdf/main/nature-curse-dimensionality-complete-submission-20261008.pdf
PDF pages10
PDF SHA-2569f1a78562582b9234e25ae56945d4fa42a15e5797064856c909571540b59d59f
ZIP SHA-256174cd6727f8de3305d7d179deea3154a3b60a633629b7e48ce8272f06f93fa4d

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Citation

@unpublished{Han2026naturecursedimensionalitycompletesubmission20261008,
  author = {Han Jae Jun},
  title = {Sharp Limits for High-Dimensional Learning with Spectral Structure},
  year = {2026},
  note = {Research source ZIP: NATURE_CURSE_DIMENSIONALITY_COMPLETE_SUBMISSION_20261008.zip; independent theorem proof audit not certified},
  url = {https://han-jae-jun-research.vercel.app/research/nature-curse-dimensionality-complete-submission-20261008.html}
}

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Original source version: NATURE_CURSE_DIMENSIONALITY_COMPLETE_SUBMISSION_20261008.zip

Main PDF SHA-256: 9f1a78562582b9234e25ae56945d4fa42a15e5797064856c909571540b59d59f

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