Pith Number
pith:75QZAPZJ
pith:2025:75QZAPZJZCTENHE5GRD72KHMXE
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refs pending
Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages
arxiv:2503.21806 v1 · 2025-03-25 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{75QZAPZJZCTENHE5GRD72KHMXE}
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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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 | 2026-07-05T10:40:42.313429Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ff61903f29c8a6469c9d3447fd28ecb934857118692e3d0845277733bbca32e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/75QZAPZJZCTENHE5GRD72KHMXE \
| 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: ff61903f29c8a6469c9d3447fd28ecb934857118692e3d0845277733bbca32e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "290c8d62f6a2f0b71af02ca3cba9affd3195141970ab71b5ab1c219877826d37",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-03-25T05:58:18Z",
"title_canon_sha256": "db30445ae66167f8ba550a9d17e1b3fa5608e3d417d2d551a7264410a6b78c93"
},
"schema_version": "1.0",
"source": {
"id": "2503.21806",
"kind": "arxiv",
"version": 1
}
}