Pith Number
pith:5XUZ7NKT
pith:2026:5XUZ7NKTFMYTCX7HSMBZGXRNCB
not attested
not anchored
not stored
refs pending
Spatial prediction of environmental processes using random forests: How best to account for spatial dependence?
arxiv:2606.18078 v1 · 2026-06-16 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5XUZ7NKTFMYTCX7HSMBZGXRNCB}
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 | 2026-06-19T16:10:47.917647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ede99fb5532b31315fe79303935e2d1063d159a20d30a3041f5f22e164ac3d1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5XUZ7NKTFMYTCX7HSMBZGXRNCB \
| 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: ede99fb5532b31315fe79303935e2d1063d159a20d30a3041f5f22e164ac3d1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d76ed243a480da49504d9c8c502116376c0b7d3fa08cded67e5186b665b6002d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2026-06-16T15:45:25Z",
"title_canon_sha256": "5ca96fb87b00c732e2c758d584295ae47bbdb8ccb1a9538a08a2f09d5815ffe3"
},
"schema_version": "1.0",
"source": {
"id": "2606.18078",
"kind": "arxiv",
"version": 1
}
}