Pith Number
pith:QD4WHNUI
pith:2017:QD4WHNUIWVVJS7NZINCOYU6MWQ
not attested
not anchored
not stored
refs pending
Stochastic Gradient MCMC Methods for Hidden Markov Models
arxiv:1706.04632 v1 · 2017-06-14 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QD4WHNUIWVVJS7NZINCOYU6MWQ}
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 | 2026-05-18T00:42:19.470241Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80f963b688b56a997db94344ec53ccb429557535db396304b6fb44df80dca6ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QD4WHNUIWVVJS7NZINCOYU6MWQ \
| 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: 80f963b688b56a997db94344ec53ccb429557535db396304b6fb44df80dca6ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e133a237d7af7f5b5ad2aa4368dfc27786296a26f435d149123fa055f228b8c2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-06-14T18:44:29Z",
"title_canon_sha256": "8b06ecd9f5311ae8f4132389ade5b0e01ec0b0d625b65df68979de5f7c1c5930"
},
"schema_version": "1.0",
"source": {
"id": "1706.04632",
"kind": "arxiv",
"version": 1
}
}