Pith Number
pith:LKWYQGCK
pith:2022:LKWYQGCKBLL6UP4UVFMBQFTS3W
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refs pending
Optimizing Temporal Resolution Of Convolutional Recurrent Neural Networks For Sound Event Detection
arxiv:2210.10208 v1 · 2022-10-18 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LKWYQGCKBLL6UP4UVFMBQFTS3W}
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Record completeness
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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 | 2026-07-05T05:08:07.432119Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5aad88184a0ad7ea3f94a958181672ddba833775a27dcdb5ae635852410b2462
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LKWYQGCKBLL6UP4UVFMBQFTS3W \
| 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: 5aad88184a0ad7ea3f94a958181672ddba833775a27dcdb5ae635852410b2462
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "eef20f17c579cfdaee7d5c399f14fa91353af20b224f1491ce94bc54f7780ffe",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2022-10-18T23:25:11Z",
"title_canon_sha256": "f62bbf3979b6f23250f66b799ec6d80c80da300d97dbf8c1192df077e66138aa"
},
"schema_version": "1.0",
"source": {
"id": "2210.10208",
"kind": "arxiv",
"version": 1
}
}