Pith Number
pith:UO4IGTF5
pith:2017:UO4IGTF5LTLL27DOVDXD2KOCKO
not attested
not anchored
not stored
refs pending
Recognizing Gender from Human Facial Regions using Genetic Algorithm
arxiv:1712.01661 v1 · 2017-12-05 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UO4IGTF5LTLL27DOVDXD2KOCKO}
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 | 2026-05-18T00:28:47.967912Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a3b8834cbd5cd6bd7c6ea8ee3d29c2539d11e210136c5660c8e51430339252c5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UO4IGTF5LTLL27DOVDXD2KOCKO \
| 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: a3b8834cbd5cd6bd7c6ea8ee3d29c2539d11e210136c5660c8e51430339252c5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd8d02e90bb7248da6d4a11dc9698c78a97acc38b1e33892965c595368403627",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-12-05T14:33:57Z",
"title_canon_sha256": "b5046181e63216699db1b0437a60c558f0d5cf9a7e7483f509e5c5fe8ebe2a3f"
},
"schema_version": "1.0",
"source": {
"id": "1712.01661",
"kind": "arxiv",
"version": 1
}
}