Pith Number
pith:HJNFSAAL
pith:2024:HJNFSAALNRWB5IQZLHHSAKVVKF
not attested
not anchored
not stored
refs pending
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
arxiv:2411.16527 v2 · 2024-11-25 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HJNFSAALNRWB5IQZLHHSAKVVKF}
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 | 2026-07-05T09:59:55.737574Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a5a59000b6c6c1ea21959cf202ab5516a63303ce49e882fd29fc589f760f402
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HJNFSAALNRWB5IQZLHHSAKVVKF \
| 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: 3a5a59000b6c6c1ea21959cf202ab5516a63303ce49e882fd29fc589f760f402
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbd1541386df5457c1e326bd2e3ff2b08e04fb90aec748a4cce4b66ef01df417",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-11-25T16:14:45Z",
"title_canon_sha256": "32d35474554d12526bb3f9da8f9c56e08216cfdf2f97c3f0ef7d8d55c93855ed"
},
"schema_version": "1.0",
"source": {
"id": "2411.16527",
"kind": "arxiv",
"version": 2
}
}