Pith Number
pith:JH2W7N6H
pith:2023:JH2W7N6HQKILN5XYCWL4EWDB3O
not attested
not anchored
not stored
refs pending
ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency
arxiv:2304.06247 v1 · 2023-04-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JH2W7N6HQKILN5XYCWL4EWDB3O}
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.
Receipt and verification
| First computed | 2026-07-05T06:00:40.696941Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49f56fb7c78290b6f6f81597c25861db8cd3fad0fcf74f8b58a519fb14d03b0e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JH2W7N6HQKILN5XYCWL4EWDB3O \
| 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: 49f56fb7c78290b6f6f81597c25861db8cd3fad0fcf74f8b58a519fb14d03b0e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ce7e26ed807bc10df1639a39fad906b2b55ebc9fac1d7243fbbab5845f20d784",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-04-13T03:53:12Z",
"title_canon_sha256": "420a0bb8ffb55a084522fbc9326a56bf43107c559cc57146e1a36405b0592709"
},
"schema_version": "1.0",
"source": {
"id": "2304.06247",
"kind": "arxiv",
"version": 1
}
}