Pith Number
pith:6UPHJN47
pith:2016:6UPHJN475JZFCXQHZS4BHV2IMK
not attested
not anchored
not stored
refs pending
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference
arxiv:1612.06007 v2 · 2016-12-18 · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6UPHJN475JZFCXQHZS4BHV2IMK}
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
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:53:57.343944Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f51e74b79fea72515e07ccb813d74862875f3e6ecccefd69796e4c39368f603c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6UPHJN475JZFCXQHZS4BHV2IMK \
| 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: f51e74b79fea72515e07ccb813d74862875f3e6ecccefd69796e4c39368f603c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1252c94d7d9c79a9a8dfb70d90a84b33d36473943074b115ef9ebe798fe6c956",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-12-18T23:02:02Z",
"title_canon_sha256": "a6a1597dd9b2522ac774d7cb33193ee0c83d9661dc5e4529b92203bfee4ea116"
},
"schema_version": "1.0",
"source": {
"id": "1612.06007",
"kind": "arxiv",
"version": 2
}
}