Pith Number
pith:BBRWNOPT
pith:2019:BBRWNOPTBFS7THSBVGR74BYXYJ
not attested
not anchored
not stored
refs pending
3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
arxiv:1902.05247 v1 · 2019-02-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BBRWNOPTBFS7THSBVGR74BYXYJ}
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 | 2026-07-05T02:25:15.614042Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
086366b9f30965f99e41a9a3fe0717c265aa91125382931b23fc51659f1d4539
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BBRWNOPTBFS7THSBVGR74BYXYJ \
| 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: 086366b9f30965f99e41a9a3fe0717c265aa91125382931b23fc51659f1d4539
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "010f2c75bc5879592f15d513b1cc19d9f92a6a6bb8b9f0b9674db69c997d0b09",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-02-14T07:29:40Z",
"title_canon_sha256": "30abd62c2ac7364262f7427b7819aad6a5728cc3da4f56c1075a96606e0edba9"
},
"schema_version": "1.0",
"source": {
"id": "1902.05247",
"kind": "arxiv",
"version": 1
}
}