Pith Number
pith:NKPQWU5F
pith:2024:NKPQWU5FZNM5IWFRQYCV5HDUNU
not attested
not anchored
not stored
refs pending
Do large language vision models understand 3D shapes?
arxiv:2412.10908 v5 · 2024-12-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NKPQWU5FZNM5IWFRQYCV5HDUNU}
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
✓
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 | 2026-07-05T11:41:20.470982Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a9f0b53a5cb59d458b186055e9c746d0245eed41bb4c7ad384934d9d215e53e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NKPQWU5FZNM5IWFRQYCV5HDUNU \
| 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: 6a9f0b53a5cb59d458b186055e9c746d0245eed41bb4c7ad384934d9d215e53e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4dd0db10057eb0d5f1fc33829dde646a2a3ed19edf04738d8c8f1e475ec6dcb",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-14T17:35:27Z",
"title_canon_sha256": "82d4a61d3d2a4f47651633cc8ce2cf8638f7d15b23609fb36b64cf59c7d4c486"
},
"schema_version": "1.0",
"source": {
"id": "2412.10908",
"kind": "arxiv",
"version": 5
}
}