Pith Number
pith:IPLOTZH6
pith:2023:IPLOTZH6XLRGUXRNT32FOTENRW
not attested
not anchored
not stored
refs pending
HoloDiffusion: Training a 3D Diffusion Model using 2D Images
arxiv:2303.16509 v2 · 2023-03-29 · cs.CV · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPLOTZH6XLRGUXRNT32FOTENRW}
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 | 2026-07-05T06:12:01.482923Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43d6e9e4febae26a5e2d9ef4574c8d8d8f6e27596a6f53ce4c77f6dfd773d34d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPLOTZH6XLRGUXRNT32FOTENRW \
| 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: 43d6e9e4febae26a5e2d9ef4574c8d8d8f6e27596a6f53ce4c77f6dfd773d34d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15d1cbb7cad2305df76ee691818348af66b881c93b2a8957458353989a81c268",
"cross_cats_sorted": [
"cs.GR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-29T07:35:56Z",
"title_canon_sha256": "ca00b69592ec2ee57eaefecb0e5d212f93bf36374f274ff02d1aa3bf40e8133e"
},
"schema_version": "1.0",
"source": {
"id": "2303.16509",
"kind": "arxiv",
"version": 2
}
}