Pith Number
pith:MNZZ5HBH
pith:2025:MNZZ5HBHD2P77S4CPW4WHJALVQ
not attested
not anchored
not stored
refs pending
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset
arxiv:2504.08541 v2 · 2025-04-11 · cs.GR · cs.AI · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MNZZ5HBHD2P77S4CPW4WHJALVQ}
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 | 2026-07-05T11:04:48.857849Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ \
| 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: 63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "693176f4c5d2183e4bc50ac0a0120dc4a6db6b1ca389d8518c3ace1504ab75a3",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2025-04-11T13:54:19Z",
"title_canon_sha256": "fcfbfe5fc37413853668bbf1ba20db98d9d17172949704c2438461e5482cff55"
},
"schema_version": "1.0",
"source": {
"id": "2504.08541",
"kind": "arxiv",
"version": 2
}
}