Pith Number
pith:J5UGP3HO
pith:2017:J5UGP3HOCECQNTHCSCEWBD4ZC5
not attested
not anchored
not stored
refs pending
Automatic Liver Lesion Segmentation Using A Deep Convolutional Neural Network Method
arxiv:1704.07239 v1 · 2017-04-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J5UGP3HOCECQNTHCSCEWBD4ZC5}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:40:57.882642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f6867ecee110506cce29089608f99176c4834830a454536f02a4867cfee1ead
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5UGP3HOCECQNTHCSCEWBD4ZC5 \
| 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: 4f6867ecee110506cce29089608f99176c4834830a454536f02a4867cfee1ead
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ef58e379b0cd44726d1248fc0691afd6d0b915b4a9496e8d9d39ead51de8accc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-24T13:58:29Z",
"title_canon_sha256": "9e00b6bb4ee63c28ac8295e6707d9d353be7632d5aa9098d1ce350c6e51e4c76"
},
"schema_version": "1.0",
"source": {
"id": "1704.07239",
"kind": "arxiv",
"version": 1
}
}