Pith Number
pith:2OU2NZRB
pith:2025:2OU2NZRBZ6JGFSNADKVXB262E5
not attested
not anchored
not stored
refs pending
MELT: Towards Automated Multimodal Emotion Data Annotation by Leveraging LLM Embedded Knowledge
arxiv:2505.24493 v1 · 2025-05-30 · cs.AI · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2OU2NZRBZ6JGFSNADKVXB262E5}
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 | 2026-07-05T11:12:51.030810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3a9a6e621cf9262c9a01aab70ebda274c10a776475bbe8bff87759ebdbbe753
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2OU2NZRBZ6JGFSNADKVXB262E5 \
| 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: d3a9a6e621cf9262c9a01aab70ebda274c10a776475bbe8bff87759ebdbbe753
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "346776bfa2293c13e443642b8f47427fb8dc7244dffcca05ed42938dbeb8b286",
"cross_cats_sorted": [
"cs.SD",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-05-30T11:45:36Z",
"title_canon_sha256": "23c56be5fbe483084224d63d173140f13efcc283f04911fbfd26a43644b0eab3"
},
"schema_version": "1.0",
"source": {
"id": "2505.24493",
"kind": "arxiv",
"version": 1
}
}