Pith Number
pith:2YSTRU2L
pith:2024:2YSTRU2LCXV5RX3K7KWJC3COTK
not attested
not anchored
not stored
refs pending
Bayesian Spatially Clustered Compositional Regression: Linking intersectoral GDP contributions to Gini Coefficients
arxiv:2405.07408 v1 · 2024-05-13 · stat.ME · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2YSTRU2LCXV5RX3K7KWJC3COTK}
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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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 | 2026-07-05T08:18:22.077248Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d62538d34b15ebd8df6afaac916c4e9a9e63064ee9b9920ac7abc9f44a9e77ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2YSTRU2LCXV5RX3K7KWJC3COTK \
| 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: d62538d34b15ebd8df6afaac916c4e9a9e63064ee9b9920ac7abc9f44a9e77ce
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b2982a8b2f225b32747c7731bcc3f5c07cdc845aca740f31da9bb15a4e21bc4d",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2024-05-13T01:06:15Z",
"title_canon_sha256": "bb9f32585e5c19b42cedb64361c45d5f9bb189b03d5bc0f1f3e71603390c579e"
},
"schema_version": "1.0",
"source": {
"id": "2405.07408",
"kind": "arxiv",
"version": 1
}
}