Pith Number
pith:N3OHUHHP
pith:2022:N3OHUHHPU65QMW2HSNHJBTPAZW
not attested
not anchored
not stored
refs pending
Self-Supervised Pretraining for 2D Medical Image Segmentation
arxiv:2209.00314 v1 · 2022-09-01 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N3OHUHHPU65QMW2HSNHJBTPAZW}
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 | 2026-07-05T04:53:48.389459Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6edc7a1cefa7bb065b47934e90cde0cd829ff7f2ee122e6c18791293b5ecefb1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N3OHUHHPU65QMW2HSNHJBTPAZW \
| 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: 6edc7a1cefa7bb065b47934e90cde0cd829ff7f2ee122e6c18791293b5ecefb1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "76f2e53598b270d5d448199e23d39a49cf0656a83849f74155463492b72297f0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-09-01T09:25:22Z",
"title_canon_sha256": "359b01ee7c78820024a824dccd8778811dc456cb386ae8edd35a694ddb1cdb67"
},
"schema_version": "1.0",
"source": {
"id": "2209.00314",
"kind": "arxiv",
"version": 1
}
}