Pith Number
pith:7T67ZZ4A
pith:2024:7T67ZZ4AE54VMXHWF2D4EFYXED
not attested
not anchored
not stored
refs pending
Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling
arxiv:2408.04829 v1 · 2024-08-09 · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7T67ZZ4AE54VMXHWF2D4EFYXED}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:53:44.692996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fcfdfce7802779565cf62e87c2171720db9f456512460be742ec43dcdea76a5b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7T67ZZ4AE54VMXHWF2D4EFYXED \
| 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: fcfdfce7802779565cf62e87c2171720db9f456512460be742ec43dcdea76a5b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "969efeb972b9c96aeb6d328a4cc2b5fcc512ca26ce65d11cf9a708da0ee307cf",
"cross_cats_sorted": [
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2024-08-09T03:00:25Z",
"title_canon_sha256": "3c3d16aeb7fefdb7cb42292d9093a3ad39d44d84a37f0c9d8b2e4292b7e24d1d"
},
"schema_version": "1.0",
"source": {
"id": "2408.04829",
"kind": "arxiv",
"version": 1
}
}