Pith Number
pith:BVVBVO53
pith:2017:BVVBVO535CLP5Z3YZUMAHJMANS
not attested
not anchored
not stored
refs pending
An Empirical Bayes Approach for High Dimensional Classification
arxiv:1702.05056 v1 · 2017-02-16 · stat.ML · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVVBVO535CLP5Z3YZUMAHJMANS}
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 | 2026-05-18T00:50:36.348364Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d6a1abbbbe896fee778cd1803a5806c9ec0365c00d71a7da1e6d75dab80e435
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVVBVO535CLP5Z3YZUMAHJMANS \
| 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: 0d6a1abbbbe896fee778cd1803a5806c9ec0365c00d71a7da1e6d75dab80e435
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb4bd4ad75b2738d57ac7bb9865baecd4d15c67a6debce867d3c0ffd2e65b4dd",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-02-16T17:11:01Z",
"title_canon_sha256": "72ad143c69c9e42ddeacad0aa59b1ce2c4b43052f37c7e4faad4e420d7c6950b"
},
"schema_version": "1.0",
"source": {
"id": "1702.05056",
"kind": "arxiv",
"version": 1
}
}