Pith Number
pith:WYSGVXYK
pith:2019:WYSGVXYK4Z5F4CZ4KIQMPW7HI6
not attested
not anchored
not stored
refs pending
Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records
arxiv:2001.09751 v2 · 2019-12-25 · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WYSGVXYK4Z5F4CZ4KIQMPW7HI6}
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 | 2026-07-05T01:53:36.924797Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WYSGVXYK4Z5F4CZ4KIQMPW7HI6 \
| 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: b6246adf0ae67a5e0b3c5220c7dbe747b6cf713b178c8b5ce3d68c9e3016e2df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20ab0333af20566c2dad6347d3b5ad4e053b39091a6189cc1edc450f8c196a9d",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CY",
"submitted_at": "2019-12-25T07:44:25Z",
"title_canon_sha256": "4b136aa69d2ccd9b96bb7190d6281d6fd1642af256bd5272093ec34c91f5e7ce"
},
"schema_version": "1.0",
"source": {
"id": "2001.09751",
"kind": "arxiv",
"version": 2
}
}