Pith Number
pith:F3V3ZZTD
pith:2025:F3V3ZZTD2O46XGYJCSCQ6SZAI4
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not anchored
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refs pending
Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics
arxiv:2503.20428 v1 · 2025-03-26 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F3V3ZZTD2O46XGYJCSCQ6SZAI4}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:39:38.149864Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2eebbce663d3b9eb9b0914850f4b20472ddcb87aeb9c2ad57058ad25db7ed474
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F3V3ZZTD2O46XGYJCSCQ6SZAI4 \
| 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: 2eebbce663d3b9eb9b0914850f4b20472ddcb87aeb9c2ad57058ad25db7ed474
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ba3c253da5f5ba265c8e525560ad617227a4845c13d34ca53152609fbfc6f71",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-26T11:01:00Z",
"title_canon_sha256": "4866495c56ae985589980f7f4f4a2614838a587809986d895b8d42017c71ec4e"
},
"schema_version": "1.0",
"source": {
"id": "2503.20428",
"kind": "arxiv",
"version": 1
}
}