Pith Number
pith:2G5NLD7D
pith:2025:2G5NLD7DAV7HVOKOV3ETBXME7R
not attested
not anchored
not stored
refs pending
PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation
arxiv:2505.22522 v1 · 2025-05-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2G5NLD7DAV7HVOKOV3ETBXME7R}
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 | 2026-07-05T11:11:25.905425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d1bad58fe3057e7ab94eaec930dd84fc73c637b12252f36992c07b5339b2b170
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2G5NLD7DAV7HVOKOV3ETBXME7R \
| 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: d1bad58fe3057e7ab94eaec930dd84fc73c637b12252f36992c07b5339b2b170
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f07b30ca9ec9a57ce1baed20e3b15f0d5eca0ded9533045055bed6b87ec3b95f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-28T16:09:02Z",
"title_canon_sha256": "a578c03618a0e3636b820d7e694450abffdca49444af94cd556956e26db6f19e"
},
"schema_version": "1.0",
"source": {
"id": "2505.22522",
"kind": "arxiv",
"version": 1
}
}