Pith Number
pith:H7V752J6
pith:2025:H7V752J6LXK56FDMPKB3J53WJH
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refs pending
A Stereotype Content Analysis on Color-related Social Bias in Large Vision Language Models
arxiv:2505.20901 v1 · 2025-05-27 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H7V752J6LXK56FDMPKB3J53WJH}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-05T11:10:20.669844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3febfee93e5dd5df146c7a83b4f77649d6d590d50c9e9aa8fa1dca47e8ac5748
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H7V752J6LXK56FDMPKB3J53WJH \
| 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: 3febfee93e5dd5df146c7a83b4f77649d6d590d50c9e9aa8fa1dca47e8ac5748
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14b02fb09a90eb4238b370954d88bad3d3f1280cea23d85cabf4670551f25e84",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-05-27T08:44:05Z",
"title_canon_sha256": "9b7a9d4cc1c6fd75f67efb5395d3a705121db5c96f82abf2edde142142927b74"
},
"schema_version": "1.0",
"source": {
"id": "2505.20901",
"kind": "arxiv",
"version": 1
}
}