Pith Number
pith:OXEHT2UZ
pith:2025:OXEHT2UZRNOEQEARLI72MGVS4I
not attested
not anchored
not stored
refs pending
Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models
arxiv:2502.19160 v1 · 2025-02-26 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OXEHT2UZRNOEQEARLI72MGVS4I}
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 | 2026-07-05T10:20:27.910283Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OXEHT2UZRNOEQEARLI72MGVS4I \
| 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: 75c879ea998b5c4810115a3fa61ab2e2225dbcda6b27ceacbc1ff0f98d396360
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "771f475952b0326994fad4bc84d16434f0f73f3266f5de584322e426c5a9d407",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-26T14:15:28Z",
"title_canon_sha256": "50140cc93d2983018778cf07680fb0c33cdcca6a6fbba9e6de6d50bea390393e"
},
"schema_version": "1.0",
"source": {
"id": "2502.19160",
"kind": "arxiv",
"version": 1
}
}