Pith Number
pith:GPKHQEFI
pith:2023:GPKHQEFINTWHQ3ZCCPSMB5FURI
not attested
not anchored
not stored
refs pending
Evaluating Large Language Models through Gender and Racial Stereotypes
arxiv:2311.14788 v1 · 2023-11-24 · cs.CL · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GPKHQEFINTWHQ3ZCCPSMB5FURI}
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
✓
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 | 2026-07-05T07:16:52.566513Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
33d47810a86cec786f2213e4c0f4b48a0d13b68bf792ce6936e30f7822645dc4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GPKHQEFINTWHQ3ZCCPSMB5FURI \
| 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: 33d47810a86cec786f2213e4c0f4b48a0d13b68bf792ce6936e30f7822645dc4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b30eecaf19d8c56d8b7ff00876336a5f92b79d996b42f09579b94bc50f59cb2",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-11-24T18:41:16Z",
"title_canon_sha256": "f1003b226310defb385fd48e0f9ae60525c1cb8eaee5f37f15b48ca574c3eafe"
},
"schema_version": "1.0",
"source": {
"id": "2311.14788",
"kind": "arxiv",
"version": 1
}
}