Pith Number
pith:QD2GH2RR
pith:2021:QD2GH2RRIIVMJ22W4DUFD6BOBN
not attested
not anchored
not stored
refs pending
Arabic Speech Emotion Recognition Employing Wav2vec2.0 and HuBERT Based on BAVED Dataset
arxiv:2110.04425 v1 · 2021-10-09 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QD2GH2RRIIVMJ22W4DUFD6BOBN}
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 | 2026-07-05T03:21:16.861227Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80f463ea31422ac4eb56e0e851f82e0b7ac061c033a396096fac4cfe6ef6f4da
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QD2GH2RRIIVMJ22W4DUFD6BOBN \
| 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: 80f463ea31422ac4eb56e0e851f82e0b7ac061c033a396096fac4cfe6ef6f4da
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1e14762bafe06ea5f3f2312f59a576609f9d92f4145d1b1f9cf30cc3958ff5c0",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-10-09T00:58:12Z",
"title_canon_sha256": "b0e5644882201579055738a8129378bab012f1665def07317e605ebb7c66ba1b"
},
"schema_version": "1.0",
"source": {
"id": "2110.04425",
"kind": "arxiv",
"version": 1
}
}