{
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  "AsyncWith",
  "DictComp",
  "For",
  "GeneratorExp",
  "If",
  "IfExp",
  "Import",
  "ImportFrom",
  "Lambda",
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  "pretrain_iter_0002000",
  "pretrain_iter_0003000",
  "pretrain_iter_0004000",
  "pretrain_iter_0005000",
  "pretrain_iter_0006000",
  "pretrain_iter_0007000",
  "pretrain_iter_0008000",
  "pretrain_iter_0009000",
  "pretrain_iter_0010000",
  "pretrain_iter_0011000",
  "pretrain_iter_0012000",
  "pretrain_iter_0013000",
  "pretrain_iter_0014000",
  "pretrain_iter_0015000",
  "pretrain_iter_0016000",
  "pretrain_iter_0017000",
  "pretrain_iter_0018000",
  "pretrain_iter_0019000",
  "pretrain_iter_0020000",
  "pretrain_iter_0025000",
  "pretrain_iter_0031000",
  "pretrain_iter_0039000",
  "pretrain_iter_0049000",
  "pretrain_iter_0061000",
  "pretrain_iter_0076000",
  "pretrain_iter_0095000",
  "pretrain_iter_0119000",
  "pretrain_iter_0149000",
  "pretrain_iter_0186000",
  "pretrain_iter_0233000",
  "pretrain_iter_0291000",
  "pretrain_iter_0364000",
  "pretrain_iter_0455000",
  "pretrain_iter_0484865"
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 "draws": 1000,
 "seed": 20261013,
 "quantity": "|S_a(twin1) n S_b(twin2)| / 7373, product space, per draw",
 "c0_5": "one core-index set a draw for A, applied to both twins at every reference; B drawn PER TWIN from the same generator, because each twin's B has its own core set -- AsyncFor has 21 B cores in twin 1 and 20 in twin 2 -- so one index set across twins would be a coincidence of positions and not a resampling of cores",
 "c0_5_departure": {
  "what": "B's core partition is not constant across references -- For has 25 token-site B cores at some and 21 at others for the same 720 prompts -- so one index set cannot be applied at every reference. The draw is therefore seeded by (construct, reference), which is what r2_bootstrap does for curves 2, 3 and 6, so these intervals are comparable with those.",
  "not_a_record_defect": "the token-site prompt count is 17,280 = 720 x 24 at every reference, and the derived tree is uniform: n_a = 720 with identical cell counts for all 188 constructs at all 35 references. What differs is how B's prompts are grouped into cores, and which read sites a reference recorded -- some carry token, span_end and last, others token alone, and every reading uses the token site.",
  "a_is_shared": "A has 8 cores in both twins at every reference, so A's index set is shared across the twins as C0.5 asks",
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 "fall_summary": {
  "n_pairs": 120,
  "n_pairs_fell_in_at_least_two_draws": 115,
  "median_share_of_draws_that_fell": 0.876,
  "median_is": "over the pairs that fell in at least two draws, not over all pairs"
 },
 "backfilled": [
  "backfilled by experiments/backfill_summaries.py: the summary the paper quotes, computed from this artefact's own stored fields (or, for the kept fraction, from validation/carriers/*.npz) and checked against the printed figure",
  "backfilled by experiments/backfill_summaries.py: the summary the paper quotes, computed from this artefact's own stored fields (or, for the kept fraction, from validation/carriers/*.npz) and checked against the printed figure"
 ]
}