Pith Number
pith:7CNRKHIR
pith:2019:7CNRKHIR2QXPTYC7Z3NJPFCBWO
not attested
not anchored
not stored
refs pending
Recurrent Neural Networks with Stochastic Layers for Acoustic Novelty Detection
arxiv:1902.04980 v1 · 2019-02-13 · eess.AS · cs.LG · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7CNRKHIR2QXPTYC7Z3NJPFCBWO}
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 | 2026-05-17T23:47:58.071145Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f89b151d11d42ef9e05fceda979441b3984a69209074db50b485087ba4891a00
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7CNRKHIR2QXPTYC7Z3NJPFCBWO \
| 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: f89b151d11d42ef9e05fceda979441b3984a69209074db50b485087ba4891a00
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "758684157d365cc951f3c0afe9cd4df664bcae6ae36041a6b880fd91a320643b",
"cross_cats_sorted": [
"cs.LG",
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2019-02-13T16:13:52Z",
"title_canon_sha256": "9dde8f0e0ac07e3ce0a0924ca20229c994781ad7121a76af18b65eff96501af3"
},
"schema_version": "1.0",
"source": {
"id": "1902.04980",
"kind": "arxiv",
"version": 1
}
}