Pith Number
pith:LYRKKIQR
pith:2025:LYRKKIQRQUCSPIAHOJQR4D4S4Y
not attested
not anchored
not stored
refs pending
Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models
arxiv:2510.20042 v3 · 2025-10-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LYRKKIQRQUCSPIAHOJQR4D4S4Y}
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.
Cited by
Receipt and verification
| First computed | 2026-06-04T01:08:34.286017Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e22a52211850527a00772611e0f92e62648739f6b48259fdcefd19461ec9839
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYRKKIQRQUCSPIAHOJQR4D4S4Y \
| 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: 5e22a52211850527a00772611e0f92e62648739f6b48259fdcefd19461ec9839
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d359bea9b0e9b30a7d442474ef357685d721f9aee95ccfe86b1a7b55348940da",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-10-22T21:42:59Z",
"title_canon_sha256": "e50599b1cfef10c273ebdbc96ad4df09be38e948b3aa0b994f8db55eb984910d"
},
"schema_version": "1.0",
"source": {
"id": "2510.20042",
"kind": "arxiv",
"version": 3
}
}