Pith Number
pith:OJJI4AME
pith:2025:OJJI4AME7UT74WWRQOLUXVFJJP
not attested
not anchored
not stored
refs pending
Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
arxiv:2502.04748 v1 · 2025-02-07 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OJJI4AME7UT74WWRQOLUXVFJJP}
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 | 2026-07-05T10:10:56.630912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
72528e0184fd27fe5ad183974bd4a94be3c257e198a7a1dea902aef9983728e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJJI4AME7UT74WWRQOLUXVFJJP \
| 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: 72528e0184fd27fe5ad183974bd4a94be3c257e198a7a1dea902aef9983728e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7a9bc7bfb7e64c7485784f2e4a2bf2582e05e3984c63a93a4db85ac434c4941",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-07T08:32:26Z",
"title_canon_sha256": "14301eaf9c59491460d31f906ccdb56cdba9cdf881f4f63072945d88fcad3dad"
},
"schema_version": "1.0",
"source": {
"id": "2502.04748",
"kind": "arxiv",
"version": 1
}
}