Pith Number
pith:KH76FHBL
pith:2014:KH76FHBLUOFDWKX3D7Q6DRG3E5
not attested
not anchored
not stored
refs pending
Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
arxiv:1406.7343 v2 · 2014-06-28 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KH76FHBLUOFDWKX3D7Q6DRG3E5}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T01:23:32.322741Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51ffe29c2ba38a3b2afb1fe1e1c4db276be016ba1d38b1fb2f5608d27ea8ec77
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KH76FHBLUOFDWKX3D7Q6DRG3E5 \
| 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: 51ffe29c2ba38a3b2afb1fe1e1c4db276be016ba1d38b1fb2f5608d27ea8ec77
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1ef123f2486b8bb6a00f69ff077ed61ccd73ca39a890d5c6c2642ce1ae8a72f0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2014-06-28T01:24:50Z",
"title_canon_sha256": "1997e004c9f9aded9a815fba3e553aba88ba62a9442e6104300d75a3baf0b970"
},
"schema_version": "1.0",
"source": {
"id": "1406.7343",
"kind": "arxiv",
"version": 2
}
}