Pith Number
pith:ZPY4243Z
pith:2018:ZPY4243Z52LUFLJYMZVGYG56B2
not attested
not anchored
not stored
refs pending
Multichannel Sound Event Detection Using 3D Convolutional Neural Networks for Learning Inter-channel Features
arxiv:1801.09522 v1 · 2018-01-29 · cs.SD · cs.LG · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZPY4243Z52LUFLJYMZVGYG56B2}
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
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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 | 2026-05-18T00:24:57.157361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cbf1cd7379ee9742ad38666a6c1bbe0e80657f471e6469cda4f6e6a0699fc786
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZPY4243Z52LUFLJYMZVGYG56B2 \
| 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: cbf1cd7379ee9742ad38666a6c1bbe0e80657f471e6469cda4f6e6a0699fc786
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d8c63445c6a618e5fe5c5913d6be4eee06b740ad321aafa045e1d5a2aad282d1",
"cross_cats_sorted": [
"cs.LG",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2018-01-29T14:24:39Z",
"title_canon_sha256": "b3c8723261ecbc39fa6f0a6587bf9efe8762424ca67d01bc1a7db806ff66adcf"
},
"schema_version": "1.0",
"source": {
"id": "1801.09522",
"kind": "arxiv",
"version": 1
}
}