Pith Number
pith:3UAH4R7K
pith:2018:3UAH4R7KZJZGSJWVYCUKYNMSVB
not attested
not anchored
not stored
refs pending
Understanding Unequal Gender Classification Accuracy from Face Images
arxiv:1812.00099 v1 · 2018-11-30 · cs.CV · cs.CY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3UAH4R7KZJZGSJWVYCUKYNMSVB}
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 | 2026-05-17T23:59:27.290229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd007e47eaca726926d5c0a8ac3592a86fd16426dbf2cb475dc807af42bcf8ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3UAH4R7KZJZGSJWVYCUKYNMSVB \
| 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: dd007e47eaca726926d5c0a8ac3592a86fd16426dbf2cb475dc807af42bcf8ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ebcbcf97d8ac4b0e29104a871a5fc2339b03c2c8b88ec3002adb85430fbb167f",
"cross_cats_sorted": [
"cs.CY",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-30T23:47:52Z",
"title_canon_sha256": "9ac6dab26b72c74b843957bc08d89f5ce051ecc15bba50b03107b055eed1c1df"
},
"schema_version": "1.0",
"source": {
"id": "1812.00099",
"kind": "arxiv",
"version": 1
}
}