Pith Number
pith:6XQFMTFT
pith:2017:6XQFMTFTXDAYOKPT2X6X745WW7
not attested
not anchored
not stored
refs pending
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network
arxiv:1702.04280 v2 · 2017-02-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6XQFMTFTXDAYOKPT2X6X745WW7}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:49:31.419331Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5e0564cb3b8c18729f3d5fd7ff3b6b7cc5fd300df7c874dcbfe2d900912bf69
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6XQFMTFTXDAYOKPT2X6X745WW7 \
| 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: f5e0564cb3b8c18729f3d5fd7ff3b6b7cc5fd300df7c874dcbfe2d900912bf69
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c02feb4689708d9429fa20b7070157f935a690678eb7490e575d9f4ecef9789d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-14T16:34:05Z",
"title_canon_sha256": "43b429b7cd92c4e4dbacc359200c392175358cad5c37e4495c60f9d357cf4919"
},
"schema_version": "1.0",
"source": {
"id": "1702.04280",
"kind": "arxiv",
"version": 2
}
}