Pith Number
pith:FKXLWZQG
pith:2015:FKXLWZQG2SBGGTS2ZDACVVRKMT
not attested
not anchored
not stored
refs pending
Efficient Bayesian hierarchical functional data analysis with basis function approximations using Gaussian-Wishart processes
arxiv:1512.07568 v3 · 2015-12-23 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FKXLWZQG2SBGGTS2ZDACVVRKMT}
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 | 2026-05-18T00:55:25.399350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2aaebb6606d482634e5ac8c02ad62a64e4da7a4b3fe2ec9901cdfd9de9c0227b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FKXLWZQG2SBGGTS2ZDACVVRKMT \
| 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: 2aaebb6606d482634e5ac8c02ad62a64e4da7a4b3fe2ec9901cdfd9de9c0227b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b3f8a9915dd0d8ba25215e38dc1bca47590ca8298609aa3c078b981179486680",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2015-12-23T18:09:34Z",
"title_canon_sha256": "55e502706925f9e57213bde392d83ea59d5e07757513bc434c35ac6dafb579e5"
},
"schema_version": "1.0",
"source": {
"id": "1512.07568",
"kind": "arxiv",
"version": 3
}
}