Pith Number
pith:RNY4VQ3M
pith:2025:RNY4VQ3MNWAAD6RTU6XSJ2WRWW
not attested
not anchored
not stored
refs pending
EmoTech: A Multi-modal Speech Emotion Recognition Using Multi-source Low-level Information with Hybrid Recurrent Network
arxiv:2501.12674 v1 · 2025-01-22 · eess.AS · cs.SD
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RNY4VQ3MNWAAD6RTU6XSJ2WRWW}
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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.
Receipt and verification
| First computed | 2026-07-05T10:03:56.836810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b71cac36c6d8001fa33a7af24ead1b58274ebc6c1c2fd6f5f964c271ddd753d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNY4VQ3MNWAAD6RTU6XSJ2WRWW \
| 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: 8b71cac36c6d8001fa33a7af24ead1b58274ebc6c1c2fd6f5f964c271ddd753d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49ccc02345439b4811c762d9afac4d144aea25c0cbbb02a05973a237e219d60c",
"cross_cats_sorted": [
"cs.SD"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2025-01-22T06:23:36Z",
"title_canon_sha256": "c27cd3cc8097114c31992aa5bc6767cc5b6763dd59b65803a7eb549dff1022d9"
},
"schema_version": "1.0",
"source": {
"id": "2501.12674",
"kind": "arxiv",
"version": 1
}
}