Pith Number
pith:PQADGMTQ
pith:2025:PQADGMTQJU3B5W33LBULUYSGNG
not attested
not anchored
not stored
refs pending
Emotion Knowledge Enhancement for Vision Large Language Models: A Self-Verification Approach for High-Quality Emotion Instruction Data Generation
arxiv:2505.18168 v1 · 2025-05-14 · cs.LG · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PQADGMTQJU3B5W33LBULUYSGNG}
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
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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.
Receipt and verification
| First computed | 2026-07-05T11:08:42.317249Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c003332704d361edb7b5868ba624669bc79fd0dffcc8d584b222965881b9c7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQADGMTQJU3B5W33LBULUYSGNG \
| 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: 7c003332704d361edb7b5868ba624669bc79fd0dffcc8d584b222965881b9c7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bad50040d6cad4dcae39b0dc4914e303ef62a2ced5a22b1764e81cf43df7167e",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-14T03:00:20Z",
"title_canon_sha256": "747c7c29ba5c962c1c6e4dc031f9e51d968ee7bf4c45d15c25b55fe43df54762"
},
"schema_version": "1.0",
"source": {
"id": "2505.18168",
"kind": "arxiv",
"version": 1
}
}