Pith Number
pith:3YL72S3K
pith:2024:3YL72S3K3DAEAISHEPTRBO7IZT
not attested
not anchored
not stored
refs pending
PetKaz at SemEval-2024 Task 3: Advancing Emotion Classification with an LLM for Emotion-Cause Pair Extraction in Conversations
arxiv:2404.05502 v1 · 2024-04-08 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3YL72S3K3DAEAISHEPTRBO7IZT}
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.
Receipt and verification
| First computed | 2026-07-05T08:05:41.493066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
de17fd4b6ad8c040224723e710bbe8cccf157ef9bbb9f46302b7e0f0b0ce6a2c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3YL72S3K3DAEAISHEPTRBO7IZT \
| 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: de17fd4b6ad8c040224723e710bbe8cccf157ef9bbb9f46302b7e0f0b0ce6a2c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e1dacf43811dbb20d16442dab4a044cde43a297c9447d9d64ab383bebe81afc3",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-08T13:25:03Z",
"title_canon_sha256": "5126eedafd64717bb156bf392e4007d3fab701d52da4efc2269590e4cf321bd0"
},
"schema_version": "1.0",
"source": {
"id": "2404.05502",
"kind": "arxiv",
"version": 1
}
}