Pith Number
pith:HNBDZXBU
pith:2015:HNBDZXBU3NFJOJHQEF3MKWFZ2H
not attested
not anchored
not stored
refs pending
Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets
arxiv:1505.07215 v1 · 2015-05-27 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HNBDZXBU3NFJOJHQEF3MKWFZ2H}
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 | 2026-05-18T02:02:05.273235Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b423cdc34db4a9724f02176c558b9d1e2ea66ea3f971e6bce1f219acd2a8672
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HNBDZXBU3NFJOJHQEF3MKWFZ2H \
| 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: 3b423cdc34db4a9724f02176c558b9d1e2ea66ea3f971e6bce1f219acd2a8672
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3808d89136d82e605b8c84bf2b8b7d918bc002aacf587082fffdbef4b1aaa772",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2015-05-27T08:14:13Z",
"title_canon_sha256": "6022ba19c83e667191649630dcc4741dc340f866bb0f8ed7e2e21a8345c88b03"
},
"schema_version": "1.0",
"source": {
"id": "1505.07215",
"kind": "arxiv",
"version": 1
}
}