Pith Number
pith:OY4TDD3J
pith:2023:OY4TDD3JPOCPBZ7X4C6HTE2QTR
not attested
not anchored
not stored
refs pending
Distributed Logistic Regression for Massive Data with Rare Events
arxiv:2304.02269 v1 · 2023-04-05 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OY4TDD3JPOCPBZ7X4C6HTE2QTR}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:58:24.029142Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7639318f697b84f0e7f7e0bc7993509c756c2d9f708581c0be70db1d053af28d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OY4TDD3JPOCPBZ7X4C6HTE2QTR \
| 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: 7639318f697b84f0e7f7e0bc7993509c756c2d9f708581c0be70db1d053af28d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a4e50276dab29969fa80fb49be3d8855e5426dd1b84452c99440f17e0866fae1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2023-04-05T07:32:38Z",
"title_canon_sha256": "5f72c519312099e93960f7d7f2c9d1a8123ee1d3d007d37d42329d700541a653"
},
"schema_version": "1.0",
"source": {
"id": "2304.02269",
"kind": "arxiv",
"version": 1
}
}