Pith Number
pith:BVDB5ETL
pith:2023:BVDB5ETLNV2C4GCERUNDZPGRVO
not attested
not anchored
not stored
refs pending
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
arxiv:2303.00874 v1 · 2023-03-02 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVDB5ETLNV2C4GCERUNDZPGRVO}
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 | 2026-07-05T05:47:23.788084Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d461e926b6d742e18448d1a3cbcd1ab802fff48992a99ac1721fd8d85432225
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVDB5ETLNV2C4GCERUNDZPGRVO \
| 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: 0d461e926b6d742e18448d1a3cbcd1ab802fff48992a99ac1721fd8d85432225
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f31be2d02abde0e754d7d8c6ad1d4c85a1659edeb1746f25ddfec6282ed87e1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-02T00:21:15Z",
"title_canon_sha256": "b67ea38ae5dc8ee0b851592716f0879c354c5d2ae12342ad1f34f29b228565a1"
},
"schema_version": "1.0",
"source": {
"id": "2303.00874",
"kind": "arxiv",
"version": 1
}
}