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Pith Number

pith:FDMBF7Z7

pith:2023:FDMBF7Z7EYPTS426COJ5UFWQRI
not attested not anchored not stored refs pending

Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation

Gen Shi, Hao Lu, Hui Hui, Jie Tian

arxiv:2312.15273 v1 · 2023-12-23 · cs.CV · cs.AI

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\usepackage{pith}
\pithnumber{FDMBF7Z7EYPTS426COJ5UFWQRI}

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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 2026-07-05T07:27:33.139809Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

28d812ff3f261f39735e1393da16d08a355be43ac61dd74a0e08a2060422a56d

Aliases

arxiv: 2312.15273 · arxiv_version: 2312.15273v1 · doi: 10.48550/arxiv.2312.15273 · pith_short_12: FDMBF7Z7EYPT · pith_short_16: FDMBF7Z7EYPTS426 · pith_short_8: FDMBF7Z7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDMBF7Z7EYPTS426COJ5UFWQRI \
  | 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: 28d812ff3f261f39735e1393da16d08a355be43ac61dd74a0e08a2060422a56d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "eac05ccc831ff8b0f1f8465cafb484f502b20fc7c708d6b900b638e0cff3061f",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2023-12-23T14:47:21Z",
    "title_canon_sha256": "197e38f3478ae7dce144d3cbe3f762b06660717e28574b8713004cc86b6b8888"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.15273",
    "kind": "arxiv",
    "version": 1
  }
}