Pith Number
pith:GWHX5H2R
pith:2022:GWHX5H2RK36ZY7JF3SLYMP2GEU
not attested
not anchored
not stored
refs pending
Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias
arxiv:2212.10678 v4 · 2022-12-20 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWHX5H2RK36ZY7JF3SLYMP2GEU}
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 | 2026-07-05T11:42:19.308199Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
358f7e9f5156fd9c7d25dc97863f4625322291bf1af6f738c86624028d1370ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWHX5H2RK36ZY7JF3SLYMP2GEU \
| 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: 358f7e9f5156fd9c7d25dc97863f4625322291bf1af6f738c86624028d1370ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "133af41fdf31227757f3632f807def60cf544422c0824072786b73b12ff83dee",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-12-20T22:41:24Z",
"title_canon_sha256": "a5408d1c6a9caf46e4423b26a2203ad28cf70b89501fd36f211aa2c01477074a"
},
"schema_version": "1.0",
"source": {
"id": "2212.10678",
"kind": "arxiv",
"version": 4
}
}