Pith Number
pith:LTME3RBY
pith:2021:LTME3RBYKTXSDKHPMLDPOEGOR2
not attested
not anchored
not stored
refs pending
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
arxiv:2110.04721 v1 · 2021-10-10 · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTME3RBYKTXSDKHPMLDPOEGOR2}
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 | 2026-07-05T04:56:12.320915Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cd84dc43854ef21a8ef62c6f710ce8e9706d3aa5a5fb9becfc14d8f6ebc680f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTME3RBYKTXSDKHPMLDPOEGOR2 \
| 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: 5cd84dc43854ef21a8ef62c6f710ce8e9706d3aa5a5fb9becfc14d8f6ebc680f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76e5013576d1f78df5ee44701f5c2ecc200965c17fa6523e0f827a240469bc93",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "physics.med-ph",
"submitted_at": "2021-10-10T07:03:44Z",
"title_canon_sha256": "2e3e88616367c3d39e48f505534f217ebad6bb1bbfe12b746a7b668025fa8f8d"
},
"schema_version": "1.0",
"source": {
"id": "2110.04721",
"kind": "arxiv",
"version": 1
}
}