Pith Number
pith:CPWOAHEV
pith:2023:CPWOAHEVNKD3YYSCKXGDIXRQH6
not attested
not anchored
not stored
refs pending
Learning Hidden Markov Models Using Conditional Samples
arxiv:2302.14753 v2 · 2023-02-28 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CPWOAHEVNKD3YYSCKXGDIXRQH6}
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 | 2026-07-05T07:48:45.359381Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13ece01c956a87bc624255cc345e303f897d993f807f9bd6e5c4cb9e19c3655e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CPWOAHEVNKD3YYSCKXGDIXRQH6 \
| 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: 13ece01c956a87bc624255cc345e303f897d993f807f9bd6e5c4cb9e19c3655e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02a7d7b2e53511ce7722cb944a823395905afb9a742b576bb144280cf2741a28",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-28T16:53:41Z",
"title_canon_sha256": "2f3fbba04771fb8d8b7c80d898debf81cc4f4150973fe4935bd66470a5b1ced4"
},
"schema_version": "1.0",
"source": {
"id": "2302.14753",
"kind": "arxiv",
"version": 2
}
}