Pith Number
pith:E52KJQS4
pith:2019:E52KJQS4W3QCCZLT7MVHHSNAD2
not attested
not anchored
not stored
refs pending
Meta-Learning Mean Functions for Gaussian Processes
arxiv:1901.08098 v4 · 2019-01-23 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E52KJQS4W3QCCZLT7MVHHSNAD2}
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 | 2026-07-05T00:40:42.365195Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2774a4c25cb6e0216573fb2a73c9a01e89ec9d5a10cb9ed3fbf90b641bba7fd9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E52KJQS4W3QCCZLT7MVHHSNAD2 \
| 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: 2774a4c25cb6e0216573fb2a73c9a01e89ec9d5a10cb9ed3fbf90b641bba7fd9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc24ed78e17055512c6231c065670746ab62f28d9b59c2adcd6ef31a8082f68e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-01-23T19:43:59Z",
"title_canon_sha256": "807cb3fafbb129025f2747ad1ac005dfea6f383a1dd15974407c8998cb6bc5f0"
},
"schema_version": "1.0",
"source": {
"id": "1901.08098",
"kind": "arxiv",
"version": 4
}
}