Pith Number
pith:6BQHRV2W
pith:2015:6BQHRV2W5I2BLI4KOUGY2DJNTH
not attested
not anchored
not stored
refs pending
Modeling Compositional Regression with uncorrelated and correlated errors: a Bayesian approach
arxiv:1507.00225 v1 · 2015-07-01 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6BQHRV2W5I2BLI4KOUGY2DJNTH}
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 | 2026-05-18T01:37:29.494682Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f06078d756ea3415a38a750d8d0d2d99ea65333f64ad353e19e84c35d20ec6f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6BQHRV2W5I2BLI4KOUGY2DJNTH \
| 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: f06078d756ea3415a38a750d8d0d2d99ea65333f64ad353e19e84c35d20ec6f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e30b8ba3784d7689296a8a85b89e7f22ca8ad044f5ba75ee3793a0f88618927f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2015-07-01T13:24:27Z",
"title_canon_sha256": "674502a038c8ea9d04f954f34132091a5761347fff639aeaa01ed9bb81e36a92"
},
"schema_version": "1.0",
"source": {
"id": "1507.00225",
"kind": "arxiv",
"version": 1
}
}