Pith Number
pith:AIHEHH2O
pith:2021:AIHEHH2O5ORTPR4PZPNDBGSMHT
not attested
not anchored
not stored
refs pending
Modeling Techniques for Machine Learning Fairness: A Survey
arxiv:2111.03015 v2 · 2021-11-04 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AIHEHH2O5ORTPR4PZPNDBGSMHT}
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
· sign in to
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 | 2026-07-05T04:12:51.382889Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
020e439f4eeba337c78fcbda309a4c3cd7cc9e990276fd29dd1fd7b85fccf17a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AIHEHH2O5ORTPR4PZPNDBGSMHT \
| 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: 020e439f4eeba337c78fcbda309a4c3cd7cc9e990276fd29dd1fd7b85fccf17a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16a102e8468ece3ca71617e72707940eeb460823254474b435dafa5a0bfbf8a9",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-11-04T17:17:26Z",
"title_canon_sha256": "8292139c41e777050d0cbef1cb2812bd6457b95e424110a3ba11183015557032"
},
"schema_version": "1.0",
"source": {
"id": "2111.03015",
"kind": "arxiv",
"version": 2
}
}