Pith Number
pith:3I5WYJPO
pith:2022:3I5WYJPO42TEMP2T7RATFQDR3F
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Breast Cancer Molecular Subtypes Prediction on Pathological Images with Discriminative Patch Selecting and Multi-Instance Learning
arxiv:2203.07659 v1 · 2022-03-15 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3I5WYJPO42TEMP2T7RATFQDR3F}
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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 | 2026-07-05T04:05:21.221276Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da3b6c25eee6a6463f53fc4132c071d95b4e07c67de8a244b4be3812fa8d4704
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3I5WYJPO42TEMP2T7RATFQDR3F \
| 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: da3b6c25eee6a6463f53fc4132c071d95b4e07c67de8a244b4be3812fa8d4704
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "668981b1a342903236ab194790b10a7d3b50f3830929623842f32a245e1f2add",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-03-15T05:40:03Z",
"title_canon_sha256": "b70bc683d0d08a46bf62f9d44e93236beca5f10b756811e124e2b012076d63f3"
},
"schema_version": "1.0",
"source": {
"id": "2203.07659",
"kind": "arxiv",
"version": 1
}
}