Pith Number
pith:76D74KJW
pith:2022:76D74KJWDBFWMKVYV6PID4UUGE
not attested
not anchored
not stored
refs pending
Pseudo-Data based Self-Supervised Federated Learning for Classification of Histopathological Images
arxiv:2205.15530 v2 · 2022-05-31 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{76D74KJWDBFWMKVYV6PID4UUGE}
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 | 2026-07-05T05:55:09.171202Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/76D74KJWDBFWMKVYV6PID4UUGE \
| 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: ff87fe2936184b662ab8af9e81f2943132bf77e605676c9ed3f95a4e4dd98a55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e0c0b5af136f3b2b212105348dc3e1b98b439682a2443c6a281015dcaca134b6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-05-31T04:23:50Z",
"title_canon_sha256": "80f91c0c04e8de181c609347afd82d55f0acb45c933f9ae7392adab7939a02f2"
},
"schema_version": "1.0",
"source": {
"id": "2205.15530",
"kind": "arxiv",
"version": 2
}
}