Pith Number
pith:HF62SQVI
pith:2021:HF62SQVI6HGJHV46NHKMQ4POTD
not attested
not anchored
not stored
refs pending
Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning
arxiv:2107.09998 v3 · 2021-07-21 · eess.AS · cs.AI · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HF62SQVI6HGJHV46NHKMQ4POTD}
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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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 | 2026-07-05T03:20:22.656990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
397da942a8f1cc93d79e69d4c871ee98c1f058bc1650d492f1a5d82583163bcc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HF62SQVI6HGJHV46NHKMQ4POTD \
| 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: 397da942a8f1cc93d79e69d4c871ee98c1f058bc1650d492f1a5d82583163bcc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c2be1c16678921f6305e648c9926d5d136e3925614edd036d4613fc07e8a5329",
"cross_cats_sorted": [
"cs.AI",
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2021-07-21T10:31:28Z",
"title_canon_sha256": "cc54585d4682988d7ba89795ee39ce8ea8b4b9fef0246fb3fb529f69ff259d15"
},
"schema_version": "1.0",
"source": {
"id": "2107.09998",
"kind": "arxiv",
"version": 3
}
}