Pith Number
pith:ULTICMBH
pith:2023:ULTICMBH7GBQWEEF3FHHVRYYZO
not attested
not anchored
not stored
refs pending
LATR: 3D Lane Detection from Monocular Images with Transformer
arxiv:2308.04583 v2 · 2023-08-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ULTICMBH7GBQWEEF3FHHVRYYZO}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:43:05.242669Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a2e6813027f9830b1085d94e7ac718cb82d5a27a8b2aa4d9f679eb21a726c7d3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ULTICMBH7GBQWEEF3FHHVRYYZO \
| 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: a2e6813027f9830b1085d94e7ac718cb82d5a27a8b2aa4d9f679eb21a726c7d3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ac592fa1a0ef7679dcd12712ed72aa3bca75dadf56e54f50cabd46912c6ae88e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-08-08T21:08:42Z",
"title_canon_sha256": "f36066fda411d4432472dde1040e971b77a2466e2e89267950ac61af43b91f27"
},
"schema_version": "1.0",
"source": {
"id": "2308.04583",
"kind": "arxiv",
"version": 2
}
}