Pith Number
pith:XBJN6FBP
pith:2025:XBJN6FBPL74234GUK3VUOL6XI5
not attested
not anchored
not stored
refs pending
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?
arxiv:2501.15775 v2 · 2025-01-27 · cs.CV · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XBJN6FBPL74234GUK3VUOL6XI5}
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 | 2026-07-05T11:43:09.380126Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XBJN6FBPL74234GUK3VUOL6XI5 \
| 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: b852df142f5ff9adf0d456eb472fd7475c498b9bf38da39f757c63e976f398f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "81560acae99935d285f0490a8ae002fb7761bddd3617d4d8d4535ac8f837cfba",
"cross_cats_sorted": [
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-27T04:47:19Z",
"title_canon_sha256": "ae6d774fb0fd8313d7a710f051d080334373d89cfe66cb8dbd86e28f798cb114"
},
"schema_version": "1.0",
"source": {
"id": "2501.15775",
"kind": "arxiv",
"version": 2
}
}