Pith Number
pith:WDN22I4F
pith:2022:WDN22I4FGQ7ZK5UPGJ46KW7CLU
not attested
not anchored
not stored
refs pending
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets
arxiv:2202.06884 v3 · 2022-02-14 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WDN22I4FGQ7ZK5UPGJ46KW7CLU}
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 | 2026-07-05T05:52:52.233529Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b0dbad2385343f95768f3279e55be25d389a3952ae3242e6c301fdffb07f46ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WDN22I4FGQ7ZK5UPGJ46KW7CLU \
| 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: b0dbad2385343f95768f3279e55be25d389a3952ae3242e6c301fdffb07f46ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e29b67cf931be55432d15c778824c9d1104c241e54604c003c009a69f8e27482",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-02-14T17:19:23Z",
"title_canon_sha256": "b3e9a9c9cf023735fbd3b95e1bf69988fb51fd58ef5f7aab74de9971287c714a"
},
"schema_version": "1.0",
"source": {
"id": "2202.06884",
"kind": "arxiv",
"version": 3
}
}