Pith Number
pith:P6DEDZZV
pith:2019:P6DEDZZV2A3KCET4BLVUB6CIJX
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refs pending
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns
arxiv:1903.04478 v1 · 2019-03-11 · stat.ML · cs.LG · stat.CO · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P6DEDZZV2A3KCET4BLVUB6CIJX}
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Record completeness
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Bitcoin timestamp
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4
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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 | 2026-05-17T23:51:35.206183Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f8641e735d036a1127c0aeb40f8484df3df99f614d659646474969a61823027
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P6DEDZZV2A3KCET4BLVUB6CIJX \
| 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: 7f8641e735d036a1127c0aeb40f8484df3df99f614d659646474969a61823027
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5a1997df1e356324243f9a6e97aa4518ab68745fb755e11c63124d988bca02ce",
"cross_cats_sorted": [
"cs.LG",
"stat.CO",
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-03-11T17:54:59Z",
"title_canon_sha256": "f65e9fd4126c67e4fe935a758861e0b15b0452d19e7d46f828c6b17e9c58c8dd"
},
"schema_version": "1.0",
"source": {
"id": "1903.04478",
"kind": "arxiv",
"version": 1
}
}