Pith Number
pith:XXOQ4K5B
pith:2023:XXOQ4K5B2RJYFT3YPUCXIWQTEG
not attested
not anchored
not stored
refs pending
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
arxiv:2310.14592 v2 · 2023-10-23 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XXOQ4K5B2RJYFT3YPUCXIWQTEG}
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 | 2026-07-05T07:48:49.521531Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bddd0e2ba1d45382cf787d05745a132184ffd7b067b71212e418d5e91ee445a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XXOQ4K5B2RJYFT3YPUCXIWQTEG \
| 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: bddd0e2ba1d45382cf787d05745a132184ffd7b067b71212e418d5e91ee445a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a01b966310c5e32437a60721dcab7ce847c1ab8324c53a3739d72456f93ef180",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-10-23T06:00:24Z",
"title_canon_sha256": "8aaa9447fa5a70ddb4dd69c3f9befd38ed052aa2248367935377bffd296f6d15"
},
"schema_version": "1.0",
"source": {
"id": "2310.14592",
"kind": "arxiv",
"version": 2
}
}