Pith Number
pith:DB4U3THO
pith:2025:DB4U3THOHOOE6WTT5XMBZ7V7NF
not attested
not anchored
not stored
refs pending
Hidden Bias in the Machine: Stereotypes in Text-to-Image Models
arxiv:2506.13780 v1 · 2025-06-09 · cs.CV · cs.AI · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DB4U3THOHOOE6WTT5XMBZ7V7NF}
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 | 2026-07-05T11:22:43.253634Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18794dccee3b9c4f5a73edd81cfebf69565aaf31d39b570cc117afe6dd239bfc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DB4U3THOHOOE6WTT5XMBZ7V7NF \
| 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: 18794dccee3b9c4f5a73edd81cfebf69565aaf31d39b570cc117afe6dd239bfc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4eca90853c482a31286a31ef2d760775260349bce69ebba1dacc1c1ba8c34f03",
"cross_cats_sorted": [
"cs.AI",
"cs.CY",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-09T23:06:04Z",
"title_canon_sha256": "3052c6265a09c45f151d8de2e222b08d60133df73c000c7d68f502365040a35e"
},
"schema_version": "1.0",
"source": {
"id": "2506.13780",
"kind": "arxiv",
"version": 1
}
}