Pith Number
pith:KYAC6ASS
pith:2024:KYAC6ASS2NX7TJOGEGSBHOOOBO
not attested
not anchored
not stored
refs pending
How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies
arxiv:2407.11733 v2 · 2024-07-16 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KYAC6ASS2NX7TJOGEGSBHOOOBO}
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 | 2026-07-05T08:50:57.605143Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
56002f0252d36ff9a5c621a413b9ce0b902c999726e304144797331f04be9e7a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KYAC6ASS2NX7TJOGEGSBHOOOBO \
| 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: 56002f0252d36ff9a5c621a413b9ce0b902c999726e304144797331f04be9e7a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7a2289f3484b6097d888ddfd3ac10f417aec0422bb29e4f184755ba7a71d067c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-07-16T14:04:35Z",
"title_canon_sha256": "076305228507a74dd081d2eeda097f368f86b7b0f777c04126b97a75c319f105"
},
"schema_version": "1.0",
"source": {
"id": "2407.11733",
"kind": "arxiv",
"version": 2
}
}