Pith Number
pith:UPNHHRWH
pith:2018:UPNHHRWHVRIOVHBO7BX53KXDOP
not attested
not anchored
not stored
refs pending
Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
arxiv:1801.02078 v2 · 2018-01-06 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UPNHHRWHVRIOVHBO7BX53KXDOP}
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
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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 | 2026-05-18T00:01:16.592114Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3da73c6c7ac50ea9c2ef86fddaae373c6d707b77f7755b725be35da904a464a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UPNHHRWHVRIOVHBO7BX53KXDOP \
| 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: a3da73c6c7ac50ea9c2ef86fddaae373c6d707b77f7755b725be35da904a464a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43bd4ed8d03541de4fabe58d1caea8486dcebb6ab0e93251c3eaa5903d9a0d9d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2018-01-06T19:56:23Z",
"title_canon_sha256": "9fe04b2c3ca530c8673260391c4f76c3c495214ae12d72fa126d45fc3f44e6a0"
},
"schema_version": "1.0",
"source": {
"id": "1801.02078",
"kind": "arxiv",
"version": 2
}
}