Pith Number
pith:EDEO3QNY
pith:2026:EDEO3QNYVE3TDT5AN6IWH7HDBC
not attested
not anchored
not stored
refs pending
Why Aggregate Accuracy is Inadequate for Evaluating Fairness in Law Enforcement Facial Recognition Systems
arxiv:2603.28675 v2 · 2026-03-30 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EDEO3QNYVE3TDT5AN6IWH7HDBC}
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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 | 2026-05-21T01:04:25.135637Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20c8edc1b8a93731cfa06f9163fce308960c03a864aaf0e6365e6cbd8b92200f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDEO3QNYVE3TDT5AN6IWH7HDBC \
| 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: 20c8edc1b8a93731cfa06f9163fce308960c03a864aaf0e6365e6cbd8b92200f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "34e060377ce5c0deb5c19b624ec9357f2a7b25e680f7e67c329cda398b67a51a",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-03-30T16:56:54Z",
"title_canon_sha256": "924120610783df7d0016fbf116662be793e24e52647d84dd89c1a8a69956b0b0"
},
"schema_version": "1.0",
"source": {
"id": "2603.28675",
"kind": "arxiv",
"version": 2
}
}