Pith Number
pith:FN4HI3R3
pith:2017:FN4HI3R3JZHJHZ7UIWB2NCQRNO
not attested
not anchored
not stored
refs pending
Improved Human Emotion Recognition Using Symmetry of Facial Key Points with Dihedral Group
arxiv:1706.07757 v1 · 2017-04-14 · cs.CV · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FN4HI3R3JZHJHZ7UIWB2NCQRNO}
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 | 2026-05-18T00:37:57.407776Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2b78746e3b4e4e93e7f44583a68a116b85713d12a516ec86a6c6e9ad71d71a41
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FN4HI3R3JZHJHZ7UIWB2NCQRNO \
| 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: 2b78746e3b4e4e93e7f44583a68a116b85713d12a516ec86a6c6e9ad71d71a41
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7438acde5236ac8f263e8ff20e26ae317dd19718b9125b27a1bc1e9d816150a8",
"cross_cats_sorted": [
"cs.HC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-04-14T14:54:14Z",
"title_canon_sha256": "93c63a3b77874b5651f73cac4304492fe1d80f9909eb9bae2989935e89e1623b"
},
"schema_version": "1.0",
"source": {
"id": "1706.07757",
"kind": "arxiv",
"version": 1
}
}