Pith Number
pith:IPFT2R3Y
pith:2022:IPFT2R3YHFUOM2KMSNJM467LBJ
not attested
not anchored
not stored
refs pending
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
arxiv:2209.11163 v1 · 2022-09-22 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPFT2R3YHFUOM2KMSNJM467LBJ}
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 | 2026-07-05T05:00:10.959154Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
43cb3d47783968e6694c9352ce7beb0a5263d4edd473ff670159e387674818b5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPFT2R3YHFUOM2KMSNJM467LBJ \
| 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: 43cb3d47783968e6694c9352ce7beb0a5263d4edd473ff670159e387674818b5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68f2863bec6647cb524d01d01f125b1ffce1ad6445b179ac0710b4a0bb267e5d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-09-22T17:16:19Z",
"title_canon_sha256": "4a1c9514d5d0339c0e04cf7462bae399ab3e84e528a842f577093a2c09563b53"
},
"schema_version": "1.0",
"source": {
"id": "2209.11163",
"kind": "arxiv",
"version": 1
}
}