Pith Number
pith:O353KQDT
pith:2022:O353KQDTRC3EMQ4NZJMZZYVUL3
not attested
not anchored
not stored
refs pending
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization
arxiv:2208.11187 v1 · 2022-08-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{O353KQDTRC3EMQ4NZJMZZYVUL3}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:51:12.292474Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
76fbb5407388b646438dca599ce2b45ef33f444376540f7b6f57cbb2a7c27805
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O353KQDTRC3EMQ4NZJMZZYVUL3 \
| 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: 76fbb5407388b646438dca599ce2b45ef33f444376540f7b6f57cbb2a7c27805
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "72e4429ed2b9e8effad12df339f129816cef4db6639b3ae2887eb56c9b38715f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-08-23T20:44:09Z",
"title_canon_sha256": "4284b89166814bcc45d4d8e2af4bceb0b3352d0b503f55ff34a75b7f411d7b8d"
},
"schema_version": "1.0",
"source": {
"id": "2208.11187",
"kind": "arxiv",
"version": 1
}
}