Pith Number
pith:7MU2IMAU
pith:2025:7MU2IMAUP7KFCETAUWE7XVE6ZN
not attested
not anchored
not stored
refs pending
Mitigate One, Skew Another? Tackling Intersectional Biases in Text-to-Image Models
arxiv:2505.17280 v1 · 2025-05-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7MU2IMAUP7KFCETAUWE7XVE6ZN}
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
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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 | 2026-07-05T11:08:23.866581Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fb29a430147fd4511260a589fbd49ecb5bcd350c1adf9a71219b0714fce2379e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7MU2IMAUP7KFCETAUWE7XVE6ZN \
| 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: fb29a430147fd4511260a589fbd49ecb5bcd350c1adf9a71219b0714fce2379e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b63a610f4d512ffdf9eb00876b09758fd2fda0aec63b2387f3a5da1d8ae83427",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-22T20:56:38Z",
"title_canon_sha256": "1d2616e77b91ff1acafa8062869206a41818f18abbdccc659d041e9103a7cf9e"
},
"schema_version": "1.0",
"source": {
"id": "2505.17280",
"kind": "arxiv",
"version": 1
}
}