Pith Number
pith:GQY46NU7
pith:2024:GQY46NU7ZVBNOXQABH4SRS7P5B
not attested
not anchored
not stored
refs pending
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
arxiv:2402.11512 v6 · 2024-02-18 · cs.CL · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQY46NU7ZVBNOXQABH4SRS7P5B}
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 | 2026-07-05T09:57:39.560193Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3431cf369fcd42d75e0009f928cbefe84499b0358ecf80cc0f48f45ce63f5cfd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQY46NU7ZVBNOXQABH4SRS7P5B \
| 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: 3431cf369fcd42d75e0009f928cbefe84499b0358ecf80cc0f48f45ce63f5cfd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af7fcbf03837079eff27c675167d0dc65bfd08e4895b601ab369043d25655d20",
"cross_cats_sorted": [
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-18T08:53:41Z",
"title_canon_sha256": "985f8845f17f3583b2c7579b1eada118228751e32c747b1416ad5f1c214856fc"
},
"schema_version": "1.0",
"source": {
"id": "2402.11512",
"kind": "arxiv",
"version": 6
}
}