Pith Number
pith:HX2NDTK7
pith:2024:HX2NDTK7UVDGZG72K7LPLMHKNF
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refs pending
A Lightweight Attention-based Deep Network via Multi-Scale Feature Fusion for Multi-View Facial Expression Recognition
arxiv:2403.14318 v2 · 2024-03-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HX2NDTK7UVDGZG72K7LPLMHKNF}
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 | 2026-07-05T10:11:58.277727Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3df4d1cd5fa5466c9bfa57d6f5b0ea6975d5e789b29771eb0a2a4652a046cc6a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HX2NDTK7UVDGZG72K7LPLMHKNF \
| 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: 3df4d1cd5fa5466c9bfa57d6f5b0ea6975d5e789b29771eb0a2a4652a046cc6a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "349e79878b0c96dceeaa9bab34106dce6bce7399b50cbdf6312d35e7a546128b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-21T11:40:51Z",
"title_canon_sha256": "754e1b97b197f2641df0fcb62dd3ee6174a1ab98fc06302a76139b8974e97878"
},
"schema_version": "1.0",
"source": {
"id": "2403.14318",
"kind": "arxiv",
"version": 2
}
}