Pith Number
pith:BFVJWHYB
pith:2015:BFVJWHYB6S766MJWH5LEJENU4E
not attested
not anchored
not stored
refs pending
Improved Laplace Approximation for Marginal Likelihoods
arxiv:1502.06440 v2 · 2015-02-23 · stat.CO · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BFVJWHYB6S766MJWH5LEJENU4E}
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
✓
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 | 2026-05-18T00:53:51.376778Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
096a9b1f01f4bfef31363f564491b4e11840de60868da80817968636ebf46e22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BFVJWHYB6S766MJWH5LEJENU4E \
| 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: 096a9b1f01f4bfef31363f564491b4e11840de60868da80817968636ebf46e22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d3b0a804b9b4ff200eaccffb676ed911589af0721bcabd5fd1544f39896cc357",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2015-02-23T14:20:45Z",
"title_canon_sha256": "5a4488542768ecb1c75ffbca27c6296d6d434adba010ced6a233d93509305d19"
},
"schema_version": "1.0",
"source": {
"id": "1502.06440",
"kind": "arxiv",
"version": 2
}
}