Pith Number
pith:QGYK5KB5
pith:2019:QGYK5KB5AWTLRFNSMOAS57IXZY
not attested
not anchored
not stored
refs pending
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
arxiv:1912.01094 v2 · 2019-12-02 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QGYK5KB5AWTLRFNSMOAS57IXZY}
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 | 2026-07-05T08:57:49.765911Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81b0aea83d05a6b895b263812efd17ce0572e989a5502e1f91b160c485785f76
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QGYK5KB5AWTLRFNSMOAS57IXZY \
| 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: 81b0aea83d05a6b895b263812efd17ce0572e989a5502e1f91b160c485785f76
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d3ed50e4a2623eb59e73fab7a739a94c04a4183e04d226bf3979ee2f0c001c4d",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-12-02T22:00:14Z",
"title_canon_sha256": "d7a9cd63fc3cceaffadcfe709e67b40ab068336853a111fe446c68458a1244b0"
},
"schema_version": "1.0",
"source": {
"id": "1912.01094",
"kind": "arxiv",
"version": 2
}
}