Pith Number
pith:LZXFNPJT
pith:2023:LZXFNPJT3LYDAV6H2AWKUGEO5X
not attested
not anchored
not stored
refs pending
Multimodal Federated Learning in Healthcare: a Review
arxiv:2310.09650 v2 · 2023-10-14 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LZXFNPJT3LYDAV6H2AWKUGEO5X}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:49:55.828571Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e6e56bd33daf03057c7d02caa188eedcf1098f2786d207d54ffe61c854fd362
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZXFNPJT3LYDAV6H2AWKUGEO5X \
| 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: 5e6e56bd33daf03057c7d02caa188eedcf1098f2786d207d54ffe61c854fd362
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6c1444d633ef4f312b87c4eba5889c8a1ac9a73421b9e2adbd3ca3cca1211e70",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-14T19:43:06Z",
"title_canon_sha256": "bd425326d94d744c4b49f6f5cccdc5320c7149e582b91498c51bfee4be141f75"
},
"schema_version": "1.0",
"source": {
"id": "2310.09650",
"kind": "arxiv",
"version": 2
}
}