Pith Number
pith:IMZH5XEV
pith:2024:IMZH5XEVIUOHIZ5QDBQORWQP6U
not attested
not anchored
not stored
refs pending
Deep Learning-Based Segmentation of Tumors in PET/CT Volumes: Benchmark of Different Architectures and Training Strategies
arxiv:2404.09761 v1 · 2024-04-15 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IMZH5XEVIUOHIZ5QDBQORWQP6U}
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
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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 | 2026-07-05T08:08:11.366390Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43327edc95451c7467b01860e8da0ff5198d838dce9f9b2e047da91206bea246
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IMZH5XEVIUOHIZ5QDBQORWQP6U \
| 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: 43327edc95451c7467b01860e8da0ff5198d838dce9f9b2e047da91206bea246
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b71cce94a4e84fca41d7b1331fa8c2bd7624fa7342287143b59b5605876ffaa8",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-04-15T13:03:42Z",
"title_canon_sha256": "dd19e6495afe5f21140501840dfb72aac9bdc83ac7c12235d7e7a1b6a3c1a06a"
},
"schema_version": "1.0",
"source": {
"id": "2404.09761",
"kind": "arxiv",
"version": 1
}
}