Pith Number
pith:524ZXOZY
pith:2025:524ZXOZY7XWSI4P2K7V7IKZXO2
not attested
not anchored
not stored
refs pending
Zero-1-to-G: Taming Pretrained 2D Diffusion Model for Direct 3D Generation
arxiv:2501.05427 v1 · 2025-01-09 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{524ZXOZY7XWSI4P2K7V7IKZXO2}
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 | 2026-07-05T09:59:09.824044Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eeb99bbb38fded2471fa57ebf42b3776b51b6f51bb34e5783264d13aa1af519f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/524ZXOZY7XWSI4P2K7V7IKZXO2 \
| 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: eeb99bbb38fded2471fa57ebf42b3776b51b6f51bb34e5783264d13aa1af519f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "99acf232a5e4ebedbce3382c25c43621272992510171ef0313d766d6efd35a53",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-09T18:37:35Z",
"title_canon_sha256": "85e1b0ed90044b8e45a481db063d06d693560591977a7b875558b223f0b406ed"
},
"schema_version": "1.0",
"source": {
"id": "2501.05427",
"kind": "arxiv",
"version": 1
}
}