Pith Number
pith:2CGHYVMR
pith:2018:2CGHYVMRU7PAPQTW5TGFXHJSYM
not attested
not anchored
not stored
refs pending
Segmentation of the prostate and organs at risk in male pelvic CT images using deep learning
arxiv:1802.09587 v1 · 2018-02-26 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2CGHYVMRU7PAPQTW5TGFXHJSYM}
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.
Receipt and verification
| First computed | 2026-05-18T00:22:30.686930Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d08c7c5591a7de07c276eccc5b9d32c317290b2e74032e3983e301191f3fb4b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CGHYVMRU7PAPQTW5TGFXHJSYM \
| 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: d08c7c5591a7de07c276eccc5b9d32c317290b2e74032e3983e301191f3fb4b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d93f905dd57e588c9a7d69ab63dd232a4fcc3056e279194d5fd680e5ff15a03c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2018-02-26T20:19:14Z",
"title_canon_sha256": "f03336009e5d13c6f18a052b12af618e37afc889684f7b662dc1ecbe363b0c48"
},
"schema_version": "1.0",
"source": {
"id": "1802.09587",
"kind": "arxiv",
"version": 1
}
}