Pith Number
pith:FNUDCEZF
pith:2017:FNUDCEZFJ4O2BWQDF2D6Q4QELZ
not attested
not anchored
not stored
refs pending
Automated Scalable Bayesian Inference via Hilbert Coresets
arxiv:1710.05053 v2 · 2017-10-13 · stat.ML · cs.LG · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FNUDCEZFJ4O2BWQDF2D6Q4QELZ}
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 | 2026-05-17T23:52:29.414287Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b683113254f1da0da032e87e872045e4bb53a29461ae74ca221ce627cf7695e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FNUDCEZFJ4O2BWQDF2D6Q4QELZ \
| 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: 2b683113254f1da0da032e87e872045e4bb53a29461ae74ca221ce627cf7695e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a444b46c0dba4839d00fbd6ca7142896b0cd460b7c88df8de913dbb173c93468",
"cross_cats_sorted": [
"cs.LG",
"stat.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-10-13T19:13:40Z",
"title_canon_sha256": "f62a34311605a111f14f835dc75af92b4f3e10d1e350c44fe92cb5906306b34a"
},
"schema_version": "1.0",
"source": {
"id": "1710.05053",
"kind": "arxiv",
"version": 2
}
}