Pith Number
pith:3N7WX5PL
pith:2024:3N7WX5PLIABL7SKQ7OOJOU5OKI
not attested
not anchored
not stored
refs pending
Gender Bias in Text-to-Video Generation Models: A case study of Sora
arxiv:2501.01987 v2 · 2024-12-30 · cs.CV · cs.AI · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3N7WX5PLIABL7SKQ7OOJOU5OKI}
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 | 2026-07-05T09:59:21.964585Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db7f6bf5eb4002bfc950fb9c9753ae521db7e1db8f59ab0e40261e480c8ea44b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3N7WX5PLIABL7SKQ7OOJOU5OKI \
| 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: db7f6bf5eb4002bfc950fb9c9753ae521db7e1db8f59ab0e40261e480c8ea44b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9fd6a265f8f6af3ec5649161987aba2fb9183ccc5681830123a9e30f3f358428",
"cross_cats_sorted": [
"cs.AI",
"cs.CY",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-30T18:08:13Z",
"title_canon_sha256": "e17d55c0d9b1b40b7591c0419c5a4a2d892cd6f40fc62e1bff6c50798fb4f7f5"
},
"schema_version": "1.0",
"source": {
"id": "2501.01987",
"kind": "arxiv",
"version": 2
}
}