Pith Number
pith:GQAVJQUH
pith:2018:GQAVJQUH4VKMZLP7FB7JMZNRLR
not attested
not anchored
not stored
refs pending
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma
arxiv:1810.09133 v1 · 2018-10-22 · stat.ML · cs.LG · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQAVJQUH4VKMZLP7FB7JMZNRLR}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:02:40.969014Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
340154c287e554ccadff287e9665b15c7ba809f91d6fbf8f1011fabe168ac984
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQAVJQUH4VKMZLP7FB7JMZNRLR \
| 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: 340154c287e554ccadff287e9665b15c7ba809f91d6fbf8f1011fabe168ac984
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ead347db7ce8b42d6e87429f9533a77d94429f8e2c347292560ef5bc1305e5ac",
"cross_cats_sorted": [
"cs.LG",
"cs.SD",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-10-22T08:20:59Z",
"title_canon_sha256": "657c75f6cd474b05d290b1aa8d203a8e8afe857c16707cc56a58196d123289a5"
},
"schema_version": "1.0",
"source": {
"id": "1810.09133",
"kind": "arxiv",
"version": 1
}
}