Pith Number
pith:MSO52PQJ
pith:2024:MSO52PQJBQX5TJJTY75GPSKA3E
not attested
not anchored
not stored
refs pending
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
arxiv:2501.17261 v1 · 2024-08-22 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSO52PQJBQX5TJJTY75GPSKA3E}
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 | 2026-07-05T10:06:50.286205Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
649ddd3e090c2fd9a533c7fa67c940d9387d909a8b6c4c537c0c5b93558b2aed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSO52PQJBQX5TJJTY75GPSKA3E \
| 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: 649ddd3e090c2fd9a533c7fa67c940d9387d909a8b6c4c537c0c5b93558b2aed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "894cd120490c4d47fe44adf369444008dd17fe214e2ba8765a13fc95bcf134b7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-08-22T08:34:39Z",
"title_canon_sha256": "5c48b2427df8e0835e142d90f30a06b1bb88e54185388d69f22883d01e2aa3d1"
},
"schema_version": "1.0",
"source": {
"id": "2501.17261",
"kind": "arxiv",
"version": 1
}
}