Pith Number
pith:GDO5ENNB
pith:2018:GDO5ENNB5CLUJ5BT7MS3PLDV6B
not attested
not anchored
not stored
refs pending
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
arxiv:1807.00199 v1 · 2018-06-30 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDO5ENNB5CLUJ5BT7MS3PLDV6B}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:11:55.717997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30ddd235a1e89744f433fb25b7ac75f07bd33e44becfabda664163ec6570063c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDO5ENNB5CLUJ5BT7MS3PLDV6B \
| 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: 30ddd235a1e89744f433fb25b7ac75f07bd33e44becfabda664163ec6570063c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc0bd62c330e12f3862c42c79ca19493505ee994eedcba5957b27ab1b49f11a8",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-06-30T16:43:23Z",
"title_canon_sha256": "7c8920642050b934acab2d1038af0861c152827bd1a33055b7bb76fd318e7b89"
},
"schema_version": "1.0",
"source": {
"id": "1807.00199",
"kind": "arxiv",
"version": 1
}
}