Pith Number
pith:5ZG7J3Z2
pith:2025:5ZG7J3Z24CGLOXWL4EDHP7QQY4
not attested
not anchored
not stored
refs pending
Perpetuating Misogyny with Generative AI: How Model Personalization Normalizes Gendered Harm
arxiv:2505.04600 v2 · 2025-05-07 · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5ZG7J3Z24CGLOXWL4EDHP7QQY4}
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 | 2026-07-05T11:05:43.954197Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee4df4ef3ae08cb75ecbe10677fe10c73c0e8a6dc8fc9a1aec9779c227026807
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ZG7J3Z24CGLOXWL4EDHP7QQY4 \
| 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: ee4df4ef3ae08cb75ecbe10677fe10c73c0e8a6dc8fc9a1aec9779c227026807
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "32e9138258550eef44b8863691456d7a1ceca321fbc11dea1227ead5363bd5eb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2025-05-07T17:43:52Z",
"title_canon_sha256": "90eed8635a5aa568f59060a3fca3ab610882e64768f4d82b906d1f6ccbd5f835"
},
"schema_version": "1.0",
"source": {
"id": "2505.04600",
"kind": "arxiv",
"version": 2
}
}