Pith Number
pith:VBYWOWL5
pith:2023:VBYWOWL5RI7CPSXWWE65A2YFLU
not attested
not anchored
not stored
refs pending
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
arxiv:2304.06716 v1 · 2023-04-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VBYWOWL5RI7CPSXWWE65A2YFLU}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:00:53.042211Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a87167597d8a3e27caf6b13dd06b055d078ff6f326cc0296244c6fb908959141
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VBYWOWL5RI7CPSXWWE65A2YFLU \
| 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: a87167597d8a3e27caf6b13dd06b055d078ff6f326cc0296244c6fb908959141
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "417e4131242f0871c5b73ae4a24d246c7597f2d0fd617245d55ad3459107e60b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-04-13T17:59:13Z",
"title_canon_sha256": "538aec68984b55806d968da75fbe67c4165b1bcaf6137361b02eebf5eb3dbb30"
},
"schema_version": "1.0",
"source": {
"id": "2304.06716",
"kind": "arxiv",
"version": 1
}
}