Pith Number
pith:CKMQL37E
pith:2020:CKMQL37EZEPI2TTZUL36NO2JJ4
not attested
not anchored
not stored
refs pending
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field
arxiv:2011.13140 v2 · 2020-11-26 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CKMQL37EZEPI2TTZUL36NO2JJ4}
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 | 2026-07-05T02:10:41.195925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
129905efe4c91e8d4e79a2f7e6bb494f202e2bff34b9e14904118d13b712df28
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CKMQL37EZEPI2TTZUL36NO2JJ4 \
| 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: 129905efe4c91e8d4e79a2f7e6bb494f202e2bff34b9e14904118d13b712df28
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0334dfa47464560540109756d87810be87606ae67d90f73a49cb8dc7faf9300",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-11-26T06:07:24Z",
"title_canon_sha256": "7a0bb5db0f8f24533c5de4c5ae2dfc2965e3677835db75624c8a4cd7dc4c562f"
},
"schema_version": "1.0",
"source": {
"id": "2011.13140",
"kind": "arxiv",
"version": 2
}
}