Pith Number
pith:AWR6B6KT
pith:2025:AWR6B6KTN46HBJ324JU2RE2URS
not attested
not anchored
not stored
refs pending
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
arxiv:2508.03483 v3 · 2025-08-05 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AWR6B6KTN46HBJ324JU2RE2URS}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-06-19T16:12:03.996047Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05a3e0f9536f3c70a77ae269a893548c95d64618fefdd23ca4a5e10988b5b179
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AWR6B6KTN46HBJ324JU2RE2URS \
| 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: 05a3e0f9536f3c70a77ae269a893548c95d64618fefdd23ca4a5e10988b5b179
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d8bde4f74218daab7c963edc6f05a87d7584286516c3323cd690030948e5ae6d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-05T14:15:53Z",
"title_canon_sha256": "e5d0612951e6f734efa044514a4428e1fd55486602b6e8ff604055c48f6ffc74"
},
"schema_version": "1.0",
"source": {
"id": "2508.03483",
"kind": "arxiv",
"version": 3
}
}