Pith Number
pith:GMAX5Q4E
pith:2019:GMAX5Q4E5NDU6LN5SA7X5OPAI2
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An Efficient Solution for Breast Tumor Segmentation and Classification in Ultrasound Images Using Deep Adversarial Learning
arxiv:1907.00887 v1 · 2019-07-01 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMAX5Q4E5NDU6LN5SA7X5OPAI2}
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Record completeness
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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 | 2026-05-17T23:41:47.728264Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33017ec384eb474f2dbd903f7eb9e046a7c693b7c837b962598ac15f82fe931f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMAX5Q4E5NDU6LN5SA7X5OPAI2 \
| 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: 33017ec384eb474f2dbd903f7eb9e046a7c693b7c837b962598ac15f82fe931f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f338247228857fe4940ee29397f2959cb618d2f30ac1ed4a76e1620732268ac1",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-07-01T16:00:49Z",
"title_canon_sha256": "2985d6c9c0429b7107753bd9935a36b18903ae4ec6eb3c6da0cffbc0a4e6d849"
},
"schema_version": "1.0",
"source": {
"id": "1907.00887",
"kind": "arxiv",
"version": 1
}
}