Pith Number
pith:IZQTUMIR
pith:2024:IZQTUMIRH3H45JRPUOUFSVKAIB
not attested
not anchored
not stored
refs pending
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
arxiv:2405.10870 v2 · 2024-05-17 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IZQTUMIRH3H45JRPUOUFSVKAIB}
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 | 2026-07-05T08:48:14.322655Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
46613a31113ecfcea62fa3a8595540405cd713f5cf4a509defe1293169a91394
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IZQTUMIRH3H45JRPUOUFSVKAIB \
| 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: 46613a31113ecfcea62fa3a8595540405cd713f5cf4a509defe1293169a91394
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "25ef000db1a6feb51ac30ddf69a11bd5f462798f5e8b4b76f6b4c16632c552b8",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-05-17T16:01:11Z",
"title_canon_sha256": "a76c7a2d49bac228f90e3d2550324d0d3d7310607282b039274777abe7fe512e"
},
"schema_version": "1.0",
"source": {
"id": "2405.10870",
"kind": "arxiv",
"version": 2
}
}