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Pith Number

pith:FF33ITTV

pith:2019:FF33ITTVDVYF6MXQFI4LK4VLEV
not attested not anchored not stored refs pending

Interpretable Convolutional Neural Networks for Preterm Birth Classification

A David Edwards, Irina Grigorescu, Jo Hajnal, Lucilio Cordero-Grande, Marc Modat, Maria Deprez

arxiv:1910.00071 v1 · 2019-09-30 · eess.IV

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\usepackage{pith}
\pithnumber{FF33ITTVDVYF6MXQFI4LK4VLEV}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.
Receipt and verification
First computed 2026-07-05T00:08:42.141830Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

2977b44e751d705f32f02a38b572ab2551eafa22f38627809b9366ecc12097eb

Aliases

arxiv: 1910.00071 · arxiv_version: 1910.00071v1 · doi: 10.48550/arxiv.1910.00071 · pith_short_12: FF33ITTVDVYF · pith_short_16: FF33ITTVDVYF6MXQ · pith_short_8: FF33ITTV
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FF33ITTVDVYF6MXQFI4LK4VLEV \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2977b44e751d705f32f02a38b572ab2551eafa22f38627809b9366ecc12097eb
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2e2c57705f8eadd98593a8423d6cf944ccdbeb64caf44e858902c48b35dc0877",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2019-09-30T19:55:03Z",
    "title_canon_sha256": "6f5ad2a5a3446de58a4fc06762d89e2a9b5813d3a9ce2eae3a75186f79f01c84"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1910.00071",
    "kind": "arxiv",
    "version": 1
  }
}