Pith Number
pith:XYZ236SV
pith:2021:XYZ236SVF6YB72V3GOJ4EH2VY7
not attested
not anchored
not stored
refs pending
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era
arxiv:2104.10121 v1 · 2021-04-20 · cs.SD · cs.CL · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XYZ236SVF6YB72V3GOJ4EH2VY7}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T02:33:40.067397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
be33adfa552fb01feabb3393c21f55c7c5b6136c8245f9b8d4034ae64bc9870e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XYZ236SVF6YB72V3GOJ4EH2VY7 \
| 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: be33adfa552fb01feabb3393c21f55c7c5b6136c8245f9b8d4034ae64bc9870e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "01ecb8cd706a4af1068cb78e37b89ce6f5de83aa6266683e59d1dc6e85817466",
"cross_cats_sorted": [
"cs.CL",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.SD",
"submitted_at": "2021-04-20T17:10:01Z",
"title_canon_sha256": "c7ef343516eb2b4d517d4e360a42e7ce5ffbfe2f5fd794ce24af91179a020571"
},
"schema_version": "1.0",
"source": {
"id": "2104.10121",
"kind": "arxiv",
"version": 1
}
}