Pith Number
pith:CPBRX324
pith:2021:CPBRX324O3S7RU5MJZKWMB5AS2
not attested
not anchored
not stored
refs pending
Gendered Differences in Face Recognition Accuracy Explained by Hairstyles, Makeup, and Facial Morphology
arxiv:2112.14656 v1 · 2021-12-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CPBRX324O3S7RU5MJZKWMB5AS2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T03:44:24.253186Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
13c31bef5c76e5f8d3ac4e556607a0969a54032660233d763781575c0dc95a87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CPBRX324O3S7RU5MJZKWMB5AS2 \
| 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: 13c31bef5c76e5f8d3ac4e556607a0969a54032660233d763781575c0dc95a87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6f984538f9fda49966e82db0a177a45034a2551c9174d99f49d39c9958ba9f7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-12-29T17:07:33Z",
"title_canon_sha256": "6295af2e219192b37d49b3eb0cc7cb7e03e8239bd08f248ea66ec4db634c8923"
},
"schema_version": "1.0",
"source": {
"id": "2112.14656",
"kind": "arxiv",
"version": 1
}
}