Pith Number
pith:VJQ3TKD7
pith:2024:VJQ3TKD74DB27YTLBGB2MU65BZ
not attested
not anchored
not stored
refs pending
Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting
arxiv:2412.01682 v3 · 2024-12-02 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VJQ3TKD74DB27YTLBGB2MU65BZ}
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 | 2026-07-05T09:49:13.122281Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa61b9a87fe0c3afe26b0983a653dd0e657a510c322c0f6c1d9b7fbf944b1777
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJQ3TKD74DB27YTLBGB2MU65BZ \
| 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: aa61b9a87fe0c3afe26b0983a653dd0e657a510c322c0f6c1d9b7fbf944b1777
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6cf10d031b8c0745353868b52e391631fd75b2650c561bf36abca0f8bbf772f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-02T16:29:06Z",
"title_canon_sha256": "47124fa41818bdfe4d2688ed857b23325d2962e316c3236484ce653b5759f986"
},
"schema_version": "1.0",
"source": {
"id": "2412.01682",
"kind": "arxiv",
"version": 3
}
}