{
  "source": "https://arxiv.org/html/2603.08001v1#A1.T1",
  "source_version": "2603.08001v1, Appendix A.1, Table 1",
  "paper_authors": [
    "Theo X. Olausson",
    "Jo\u00e3o Monteiro",
    "Michal Klein",
    "Marco Cuturi"
  ],
  "publication_page": "https://machinelearning.apple.com/research/amortizing-inner-product-search",
  "code_repository": "https://github.com/apple-aiml-research/ml-amips",
  "code_revision": "2a2d4d3a0f47bdb8652eb86b57381ba8728bcfb9",
  "retrieved_utc": "2026-11-06",
  "extraction": "Manual exact transcription of all 9 Table 1 rows, retaining all four timing columns. Decimal expansion only; no digitized plot values. Keys are paper-rounded counts. No source PDF bytes or raw timing samples were downloaded.",
  "table1_csv_sha256": "5cbb323959736f8587dee4c527f8b54f654127d198ffa934f90a2df25526ad46",
  "batch_size": 4096,
  "embedding_dimension": 384,
  "repetitions_in_paper": 100,
  "timing_unit": "seconds per batch",
  "hardware": "Not identified in the Table 1 timing description inspected; not inferred.",
  "license": "Paper: CC BY 4.0 per arXiv HTML. Code repository license is separate; no Apple code is redistributed.",
  "scope": "Reanalysis of published means; no model training, inference, IVF timing or independent reproduction.",
  "unit_note": "Section 4.1 calls the timing per sample, but the detailed Table 1 caption says seconds per 4096-query batch. Analysis follows the caption. Within-row ratios do not depend on this unit ambiguity."
}