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Pith Number

pith:ML2MJ6T2

pith:2019:ML2MJ6T2BK24CPGDRY3OO67LX7
not attested not anchored not stored refs pending

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata

Alejandro F. Frangi, Christopher Bowles, Marco Pereanez, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen

arxiv:1907.01913 v1 · 2019-07-02 · eess.IV · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ML2MJ6T2BK24CPGDRY3OO67LX7}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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 2026-05-17T23:41:34.554941Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

62f4c4fa7a0ab5c13cc38e36e77bebbfe4dd9e273587bf01746f1e09cc3448d8

Aliases

arxiv: 1907.01913 · arxiv_version: 1907.01913v1 · doi: 10.48550/arxiv.1907.01913 · pith_short_12: ML2MJ6T2BK24 · pith_short_16: ML2MJ6T2BK24CPGD · pith_short_8: ML2MJ6T2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ML2MJ6T2BK24CPGDRY3OO67LX7 \
  | 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: 62f4c4fa7a0ab5c13cc38e36e77bebbfe4dd9e273587bf01746f1e09cc3448d8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "0dca052ba6a8484f89f26d29d6b7053cde0d3117b3f41f306c27c8fae6534691",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2019-07-02T12:29:20Z",
    "title_canon_sha256": "700ba6d6da38aef781832dda836b15653814c3399f74e9afe334bab44a1d44d7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1907.01913",
    "kind": "arxiv",
    "version": 1
  }
}