Pith Number
pith:CVPZLXFM
pith:2024:CVPZLXFMJ5VFS2VFPJNB4YXAH7
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Sample Rate Independent Recurrent Neural Networks for Audio Effects Processing
arxiv:2406.06293 v1 · 2024-06-10 · eess.AS · cs.SD · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CVPZLXFMJ5VFS2VFPJNB4YXAH7}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:29:40.323052Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
155f95dcac4f6a596aa57a5a1e62e03fd68d9bc2fac59f6302ee855a43f5b6bc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CVPZLXFMJ5VFS2VFPJNB4YXAH7 \
| 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: 155f95dcac4f6a596aa57a5a1e62e03fd68d9bc2fac59f6302ee855a43f5b6bc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "367800981d31b3280f3e5a6ab4311b3a3c082a6ccb55c7f6e4eac96f34dcb1cc",
"cross_cats_sorted": [
"cs.SD",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.AS",
"submitted_at": "2024-06-10T14:14:23Z",
"title_canon_sha256": "effd1672715c2f85aa27800711ac23c73c1255a91813d8f6bc4c541bf662b6e5"
},
"schema_version": "1.0",
"source": {
"id": "2406.06293",
"kind": "arxiv",
"version": 1
}
}