Pith Number
pith:R35LY4QL
pith:2017:R35LY4QLZFW2TSEXRMYI5KORNG
not attested
not anchored
not stored
refs pending
Unsupervised Learning for Cell-level Visual Representation in Histopathology Images with Generative Adversarial Networks
arxiv:1711.11317 v4 · 2017-11-30 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{R35LY4QLZFW2TSEXRMYI5KORNG}
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 | 2026-05-18T00:11:18.302639Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8efabc720bc96da9c8978b308ea9d169b9e5d19d4a8dc98512a8a6e0960748c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/R35LY4QLZFW2TSEXRMYI5KORNG \
| 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: 8efabc720bc96da9c8978b308ea9d169b9e5d19d4a8dc98512a8a6e0960748c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5088a6444033605cdc0bde5315fd83b750c5984b76710388c85252fea007e127",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-30T10:53:56Z",
"title_canon_sha256": "09cbaa4daa5479522864d341d40777f95d820870ed933b127fa4c512319b216e"
},
"schema_version": "1.0",
"source": {
"id": "1711.11317",
"kind": "arxiv",
"version": 4
}
}