Pith Number
pith:7FVIBTAR
pith:2016:7FVIBTARS625HFOBAG6Q5DJ3BV
not attested
not anchored
not stored
refs pending
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions
arxiv:1605.08618 v1 · 2016-05-27 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FVIBTARS625HFOBAG6Q5DJ3BV}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-05-18T01:13:29.476942Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f96a80cc1197b5d395c101bd0e8d3b0d696dd1491809acfca39606fe4f2eddde
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7FVIBTARS625HFOBAG6Q5DJ3BV \
| 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: f96a80cc1197b5d395c101bd0e8d3b0d696dd1491809acfca39606fe4f2eddde
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b8bbb4430402506e0b462b6522cacb31fd39b67fc5b5a9a067ad9e16a7fa0f55",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-05-27T13:00:31Z",
"title_canon_sha256": "78a7aef70f9a9fd60b8c0770047b5996884075647fe9e302b0b31b2a7ebb15dd"
},
"schema_version": "1.0",
"source": {
"id": "1605.08618",
"kind": "arxiv",
"version": 1
}
}