Pith Number
pith:GQTB2DDN
pith:2025:GQTB2DDN7HPNTGYNGRPMUBYXSP
not attested
not anchored
not stored
refs pending
CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point Clouds
arxiv:2501.03879 v1 · 2025-01-07 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQTB2DDN7HPNTGYNGRPMUBYXSP}
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
· sign in to
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 | 2026-07-05T09:58:01.928668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
34261d0c6df9ded99b0d345eca071793f95df82fb95679915b10ec96cf071ece
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQTB2DDN7HPNTGYNGRPMUBYXSP \
| 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: 34261d0c6df9ded99b0d345eca071793f95df82fb95679915b10ec96cf071ece
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dbcebf32d142e893610eefe16e216582635be9c85d1febe380771663dedf3036",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-07T15:42:32Z",
"title_canon_sha256": "caef8d7833e95b6b01442ec0b7984f524138f8a3aa2e952bc2c6403ed390f4d4"
},
"schema_version": "1.0",
"source": {
"id": "2501.03879",
"kind": "arxiv",
"version": 1
}
}