Pith Number
pith:5ZB5F64Y
pith:2019:5ZB5F64Y373BH6AU4VMSL5OVM2
not attested
not anchored
not stored
refs pending
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
arxiv:1912.07398 v2 · 2019-12-16 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5ZB5F64Y373BH6AU4VMSL5OVM2}
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 | 2026-07-05T01:07:51.891477Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee43d2fb98dff613f814e55925f5d56698b0ca7f89aed25d18ccee94eb168096
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ZB5F64Y373BH6AU4VMSL5OVM2 \
| 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: ee43d2fb98dff613f814e55925f5d56698b0ca7f89aed25d18ccee94eb168096
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b962cb17445aedb7c4894cab935ea09d4af57b4bc7459b3fc2939945a5d9d860",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-12-16T14:27:10Z",
"title_canon_sha256": "283b8b5674ec97e595b7b6a13fa7f067237c8f19d4c9557c7e1b9f2faa17120d"
},
"schema_version": "1.0",
"source": {
"id": "1912.07398",
"kind": "arxiv",
"version": 2
}
}