Pith Number
pith:JGWNHDLB
pith:2024:JGWNHDLBKQJV6FWYD65A4VRQ3Y
not attested
not anchored
not stored
refs pending
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
arxiv:2403.11503 v2 · 2024-03-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JGWNHDLBKQJV6FWYD65A4VRQ3Y}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Receipt and verification
| First computed | 2026-07-05T08:43:27.154623Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49acd38d6154135f16d81fba0e5630de32e809208ad1c379be10d422f64b08a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JGWNHDLBKQJV6FWYD65A4VRQ3Y \
| 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: 49acd38d6154135f16d81fba0e5630de32e809208ad1c379be10d422f64b08a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac3f391890408e41cd6046b3225568f7fe0b1d5ad72e4318339d69e316457b34",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-03-18T06:18:59Z",
"title_canon_sha256": "597623c176da644a98e0369e76f798ad32bc9491750b725cf8336d0032eebc54"
},
"schema_version": "1.0",
"source": {
"id": "2403.11503",
"kind": "arxiv",
"version": 2
}
}