Pith Number
pith:PWO4PWLK
pith:2024:PWO4PWLKK5VYBCIAAHCZR7AQ74
not attested
not anchored
not stored
refs pending
Fine-grained Speech Sentiment Analysis in Chinese Psychological Support Hotlines Based on Large-scale Pre-trained Model
arxiv:2405.04128 v1 · 2024-05-07 · cs.CL · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PWO4PWLKK5VYBCIAAHCZR7AQ74}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:16:32.287647Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d9dc7d96a576b80890001c598fc10ff3ea38091859adef28dc7a24c1493eb85
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PWO4PWLKK5VYBCIAAHCZR7AQ74 \
| 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: 7d9dc7d96a576b80890001c598fc10ff3ea38091859adef28dc7a24c1493eb85
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f84385105126e497b430b2c7d6ff115441e198ae2268c3f6d76c741d97267ca4",
"cross_cats_sorted": [
"cs.SD",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-05-07T08:53:25Z",
"title_canon_sha256": "bef0a5b5329f239c63dec95fd7e4259d7cfde47d60bb27c008e9503c42d23458"
},
"schema_version": "1.0",
"source": {
"id": "2405.04128",
"kind": "arxiv",
"version": 1
}
}