Pith Number
pith:2O3Y7WD3
pith:2019:2O3Y7WD3E4FWZN4OQLM2EJL3MW
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not anchored
not stored
refs pending
Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks
arxiv:1911.04852 v1 · 2019-11-12 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2O3Y7WD3E4FWZN4OQLM2EJL3MW}
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 | 2026-07-05T00:18:45.661956Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3b78fd87b270b6cb78e82d9a2257b659e3eaa623a21fd656e2dddb606d59df6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2O3Y7WD3E4FWZN4OQLM2EJL3MW \
| 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: d3b78fd87b270b6cb78e82d9a2257b659e3eaa623a21fd656e2dddb606d59df6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2cfbbfcb3d485fd1e29ed4424277a08d30d661f2631575b2fbb90fcc4db88a05",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-11-12T13:53:56Z",
"title_canon_sha256": "961ef5a601bbc0ee7c4bb6a1fbf33e828f0105d8b109150451fc74abd154e2f5"
},
"schema_version": "1.0",
"source": {
"id": "1911.04852",
"kind": "arxiv",
"version": 1
}
}