Pith Number
pith:HKMNHZDP
pith:2018:HKMNHZDPHKJWU2PCHIHOC5JQJK
not attested
not anchored
not stored
refs pending
Fully Convolutional Networks for Automated Segmentation of Abdominal Adipose Tissue Depots in Multicenter Water-Fat MRI
arxiv:1807.03122 v5 · 2018-06-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HKMNHZDPHKJWU2PCHIHOC5JQJK}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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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 | 2026-05-18T00:01:47.112710Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a98d3e46f3a936a69e23a0ee175304aa3888cc48d6afaac6650d813caec38c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HKMNHZDPHKJWU2PCHIHOC5JQJK \
| 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: 3a98d3e46f3a936a69e23a0ee175304aa3888cc48d6afaac6650d813caec38c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5d4c9a1a2a9f9af56c9d867dddfc72a23cd71e1ba7ba51770dd88e946502580",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-06-26T08:28:21Z",
"title_canon_sha256": "a29558dc91f8cdcae2d64eb121885525a27e55e136525808d55683664e5d5fb3"
},
"schema_version": "1.0",
"source": {
"id": "1807.03122",
"kind": "arxiv",
"version": 5
}
}