Pith Number
pith:7FS2MFWV
pith:2017:7FS2MFWVUA7JDTK42CGLUTB4BX
not attested
not anchored
not stored
refs pending
An Empirical Bayes Approach to Regularization Using Previously Published Models
arxiv:1710.03866 v1 · 2017-10-11 · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FS2MFWVUA7JDTK42CGLUTB4BX}
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 | 2026-05-18T00:33:05.790859Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f965a616d5a03e91cd5cd08cba4c3c0de5cf4809c061c92255323c7a0f4a07f3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7FS2MFWVUA7JDTK42CGLUTB4BX \
| 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: f965a616d5a03e91cd5cd08cba4c3c0de5cf4809c061c92255323c7a0f4a07f3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a1863900027089bfa9033803f074cfe5b088f3a66adef5a60b40f1cb08941f7a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2017-10-11T00:41:01Z",
"title_canon_sha256": "ddfdec2a60284e0442be9346f8bf97168fb76afc0b246324e67b021f82fd5156"
},
"schema_version": "1.0",
"source": {
"id": "1710.03866",
"kind": "arxiv",
"version": 1
}
}