Pith Number
pith:P5LGVVBB
pith:2023:P5LGVVBBCHU3FCVVIKTBLMQV6K
not attested
not anchored
not stored
refs pending
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach
arxiv:2302.04228 v1 · 2023-02-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P5LGVVBBCHU3FCVVIKTBLMQV6K}
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 | 2026-07-05T05:40:02.282180Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f566ad42111e9b28ab542a615b215f2a9e671e7f35bf653c3f8841614cff10f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5LGVVBBCHU3FCVVIKTBLMQV6K \
| 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: 7f566ad42111e9b28ab542a615b215f2a9e671e7f35bf653c3f8841614cff10f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f00a4e346831175ecbcee5ab131b3eda845b9e0f691f70e228dbf655d8b7137b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-08T17:58:11Z",
"title_canon_sha256": "ae7840e889b03e726ab5c9f64574710b58d6d1115ac56229b022c141542fb65a"
},
"schema_version": "1.0",
"source": {
"id": "2302.04228",
"kind": "arxiv",
"version": 1
}
}