Pith Number
pith:V7IXRYH5
pith:2019:V7IXRYH5AG63HRFMYGD5HAUVXG
not attested
not anchored
not stored
refs pending
Better Approximate Inference for Partial Likelihood Models with a Latent Structure
arxiv:1910.10211 v2 · 2019-10-22 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V7IXRYH5AG63HRFMYGD5HAUVXG}
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
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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 | 2026-07-05T00:27:19.432473Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
afd178e0fd01bdb3c4acc187d38295b9974095ac154844c3f6abe2bc3e5678ed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V7IXRYH5AG63HRFMYGD5HAUVXG \
| 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: afd178e0fd01bdb3c4acc187d38295b9974095ac154844c3f6abe2bc3e5678ed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "345320dbbf8ce1509117cceb6890e0b01a4cd68b8db116cda0ef7cc7217a825f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-10-22T19:54:11Z",
"title_canon_sha256": "0f40ff2bd7fa593de86a8e1139368bac2c75023b4fce14ad48827a4132e63e88"
},
"schema_version": "1.0",
"source": {
"id": "1910.10211",
"kind": "arxiv",
"version": 2
}
}