Pith Number
pith:K4QVSN5P
pith:2023:K4QVSN5P2AR5HOGF2GBQCHF4F7
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A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges
arxiv:2305.06969 v2 · 2023-05-11 · cs.LG · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K4QVSN5P2AR5HOGF2GBQCHF4F7}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T06:40:33.952816Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
57215937afd023d3b8c5d183011cbc2fdb07e532eaf67af0f743c93d4da489c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4QVSN5P2AR5HOGF2GBQCHF4F7 \
| 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: 57215937afd023d3b8c5d183011cbc2fdb07e532eaf67af0f743c93d4da489c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "98ef7be964dbda2da75383899a1ba9b84b616b1f36b2e1272297e564e3f0b2ef",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-05-11T16:49:22Z",
"title_canon_sha256": "99d4aec099baad1c918452e537e330a6839186657a53e9326e5700bf8e7d7329"
},
"schema_version": "1.0",
"source": {
"id": "2305.06969",
"kind": "arxiv",
"version": 2
}
}