Pith Number
pith:MHK7UYW4
pith:2018:MHK7UYW4EU44SFL6G47H5QOVNY
not attested
not anchored
not stored
refs pending
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model
arxiv:1805.01024 v1 · 2018-05-02 · cs.CV · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MHK7UYW4EU44SFL6G47H5QOVNY}
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 | 2026-05-18T00:16:52.843418Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
61d5fa62dc2539c9157e373e7ec1d56e0680d7d11fc51e883cf2c02c432b3624
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MHK7UYW4EU44SFL6G47H5QOVNY \
| 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: 61d5fa62dc2539c9157e373e7ec1d56e0680d7d11fc51e883cf2c02c432b3624
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68611cd8e932686c3013449246f758e0c947f2c952d79069c138eebe7a5b631c",
"cross_cats_sorted": [
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-02T21:08:47Z",
"title_canon_sha256": "29bf651618289e2137593d071bb95d882feaab6c3f981f0860d1fde4a8a11028"
},
"schema_version": "1.0",
"source": {
"id": "1805.01024",
"kind": "arxiv",
"version": 1
}
}