Pith Number
pith:TVNNVDAY
pith:2021:TVNNVDAYONU3TMRS576CX4F3DB
not attested
not anchored
not stored
refs pending
Assessing Fairness in Classification Parity of Machine Learning Models in Healthcare
arxiv:2102.03717 v1 · 2021-02-07 · cs.LG · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TVNNVDAYONU3TMRS576CX4F3DB}
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 | 2026-07-05T02:13:26.469919Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9d5ada8c187369b9b232effc2bf0bb185983911215d37f0f408bedf93a233c09
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TVNNVDAYONU3TMRS576CX4F3DB \
| 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: 9d5ada8c187369b9b232effc2bf0bb185983911215d37f0f408bedf93a233c09
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a24ad20fb7bdc268ecab8a96c4b9cf4fea0a98bf16468acd6d5bc0499a3f803b",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-07T04:46:27Z",
"title_canon_sha256": "72142bd439c8c9cd8ab6033a39318e72499a7c746a0814bb967ac571c311e666"
},
"schema_version": "1.0",
"source": {
"id": "2102.03717",
"kind": "arxiv",
"version": 1
}
}