Pith Number
pith:GTWNZIJN
pith:2024:GTWNZIJN5OFGNC6LNVENJKJ4MJ
not attested
not anchored
not stored
refs pending
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data
arxiv:2407.10200 v1 · 2024-07-14 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GTWNZIJN5OFGNC6LNVENJKJ4MJ}
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 | 2026-07-05T08:43:40.526038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
34ecdca12deb8a668bcb6d48d4a93c627cd76ab50095ce0b3dc8e1b6a4b97998
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GTWNZIJN5OFGNC6LNVENJKJ4MJ \
| 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: 34ecdca12deb8a668bcb6d48d4a93c627cd76ab50095ce0b3dc8e1b6a4b97998
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cf60ac4fc7c74091f5a7b027f5f26e03f1179c3fdb845bdc9dad928c9aa7c1ad",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-07-14T13:42:05Z",
"title_canon_sha256": "b8c6b255a9f6c41815aa44c283549bd88c23efd83e99b0d7341bf919abfe6a76"
},
"schema_version": "1.0",
"source": {
"id": "2407.10200",
"kind": "arxiv",
"version": 1
}
}