Pith Number
pith:VBFIJG6H
pith:2024:VBFIJG6HU7VRYXUUQSQTYUPTUB
not attested
not anchored
not stored
refs pending
What is Your Favorite Gender, MLM? Gender Bias Evaluation in Multilingual Masked Language Models
arxiv:2404.06621 v1 · 2024-04-09 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VBFIJG6HU7VRYXUUQSQTYUPTUB}
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.
Receipt and verification
| First computed | 2026-07-05T08:06:14.886982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a84a849bc7a7eb1c5e9484a13c51f3a06602695c30f71c30a3c49e5f04fcc928
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VBFIJG6HU7VRYXUUQSQTYUPTUB \
| 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: a84a849bc7a7eb1c5e9484a13c51f3a06602695c30f71c30a3c49e5f04fcc928
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "871e8b5f69ee9620d1ff7bc82ab24fb6f72941d650ec0c5b122d612d1ed5165b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-09T21:12:08Z",
"title_canon_sha256": "a37625e908187f3857e5874c65f7149b3d30eb0f87ee5bd1889408f7c4f09f3d"
},
"schema_version": "1.0",
"source": {
"id": "2404.06621",
"kind": "arxiv",
"version": 1
}
}