Pith Number
pith:UFVC37QN
pith:2025:UFVC37QN3IAKBI7JLQCJ5AQSNZ
not attested
not anchored
not stored
refs pending
Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations
arxiv:2510.21011 v3 · 2025-10-23 · cs.HC · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UFVC37QN3IAKBI7JLQCJ5AQSNZ}
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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 | 2026-06-03T01:05:06.829675Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a16a2dfe0dda00a0a3e95c049e82126e52ad4ca2cec79d847a26458e8d25147c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UFVC37QN3IAKBI7JLQCJ5AQSNZ \
| 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: a16a2dfe0dda00a0a3e95c049e82126e52ad4ca2cec79d847a26458e8d25147c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c5410aa5e496f9e2a66cd8476f7dda1c15f57afa3e9ab3d4b5ccab10164d1941",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.HC",
"submitted_at": "2025-10-23T21:43:08Z",
"title_canon_sha256": "ac9f850a73201934e6ae771dd3138d4e9ae91af0f4d4cda5b08721c993fad4c3"
},
"schema_version": "1.0",
"source": {
"id": "2510.21011",
"kind": "arxiv",
"version": 3
}
}