Pith Number
pith:2KOTNHGJ
pith:2024:2KOTNHGJSTPG5HQ3AYGIJ3J7LR
not attested
not anchored
not stored
refs pending
Efficient Feature Extraction and Late Fusion Strategy for Audiovisual Emotional Mimicry Intensity Estimation
arxiv:2403.11757 v2 · 2024-03-18 · cs.MM · cs.LG · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2KOTNHGJSTPG5HQ3AYGIJ3J7LR}
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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.
Receipt and verification
| First computed | 2026-07-05T07:58:28.994658Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d29d369cc994de6e9e1b060c84ed3f5c77dc3d266a141c53c7dbdb9283c50cbc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2KOTNHGJSTPG5HQ3AYGIJ3J7LR \
| 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: d29d369cc994de6e9e1b060c84ed3f5c77dc3d266a141c53c7dbdb9283c50cbc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9625edc62a19368db1690a11e5db827f453bbeb7556e44baace126ce399028a9",
"cross_cats_sorted": [
"cs.LG",
"cs.SD",
"eess.AS"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.MM",
"submitted_at": "2024-03-18T13:11:10Z",
"title_canon_sha256": "02fd4240a62ff16db8c579625779be6ba1e213c2c3855577abdb32f68c4128c8"
},
"schema_version": "1.0",
"source": {
"id": "2403.11757",
"kind": "arxiv",
"version": 2
}
}