Pith Number
pith:3QNREC67
pith:2026:3QNREC67T3AGGHHR35OX5MTMZ7
not attested
not anchored
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refs pending
A Unified Benchmark of Deep Learning Models for Multi-task 3D Brain Tumor Segmentation from Magnetic Resonance Imaging
arxiv:2607.28858 v1 · 2026-07-30 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3QNREC67T3AGGHHR35OX5MTMZ7}
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
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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 | 2026-08-03T01:17:13.560694Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dc1b120bdf9ec0631cf1df5d7eb26ccfe01fc3f9223cc34b7fad467de13f4241
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3QNREC67T3AGGHHR35OX5MTMZ7 \
| 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: dc1b120bdf9ec0631cf1df5d7eb26ccfe01fc3f9223cc34b7fad467de13f4241
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce0aa571106be671014308fe6e3cf3e26a9b4ea4a18a817510c8d312efe421f5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-30T21:56:03Z",
"title_canon_sha256": "59caf6a0510422608020e6594474ed2554142d19b2b03960d288f389f1e780c7"
},
"schema_version": "1.0",
"source": {
"id": "2607.28858",
"kind": "arxiv",
"version": 1
}
}