Pith Number
pith:3NPUS3BW
pith:2023:3NPUS3BWPVJDEFC7MQJ25S7KZ4
not attested
not anchored
not stored
refs pending
Federated Learning of Medical Concepts Embedding using BEHRT
arxiv:2305.13052 v1 · 2023-05-22 · cs.LG · cs.AI · cs.CL · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3NPUS3BWPVJDEFC7MQJ25S7KZ4}
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 | 2026-07-05T06:13:21.467350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db5f496c367d5232145f6413aecbeacf28fdfabc18b30c16bfe5faf4b344f3b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3NPUS3BWPVJDEFC7MQJ25S7KZ4 \
| 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: db5f496c367d5232145f6413aecbeacf28fdfabc18b30c16bfe5faf4b344f3b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a880aab576a50dfd0ff86bb195afc94e9a0438dcb7a0d68ea87a4b873cc475b5",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-22T14:05:39Z",
"title_canon_sha256": "2cb9e1fcd101610758843157a0bb5303188568a0b8c6d5ae5d689775bb9c0f56"
},
"schema_version": "1.0",
"source": {
"id": "2305.13052",
"kind": "arxiv",
"version": 1
}
}