Pith Number
pith:ZQZICT7L
pith:2023:ZQZICT7LLUJ7JUN4VMPRPWQHXI
not attested
not anchored
not stored
refs pending
Mutilmodal Feature Extraction and Attention-based Fusion for Emotion Estimation in Videos
arxiv:2303.10421 v1 · 2023-03-18 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZQZICT7LLUJ7JUN4VMPRPWQHXI}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T05:52:32.163106Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cc32814feb5d13f4d1bcab1f17da07ba12f461e8dcbd99175c1929779596f39c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZQZICT7LLUJ7JUN4VMPRPWQHXI \
| 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: cc32814feb5d13f4d1bcab1f17da07ba12f461e8dcbd99175c1929779596f39c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9e4f2de6cd0ae95362c338792ba4e391e227df847fb65b73893a964f6e3878b",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-18T14:08:06Z",
"title_canon_sha256": "0055759eae21cdcb776c1ddfb4e1e6817ce2ba70713005e64bdbeb7fc91f79bc"
},
"schema_version": "1.0",
"source": {
"id": "2303.10421",
"kind": "arxiv",
"version": 1
}
}