Pith Number
pith:GLNIXLS7
pith:2018:GLNIXLS7AGKYQ7XSWB3F3E2LPG
not attested
not anchored
not stored
refs pending
Action Learning for 3D Point Cloud Based Organ Segmentation
arxiv:1806.05724 v1 · 2018-06-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GLNIXLS7AGKYQ7XSWB3F3E2LPG}
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
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claim
4
Citations
5
Replications
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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 | 2026-05-18T00:13:09.621335Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
32da8bae5f0195887ef2b0765d934b79aa9b4d601c3d9ae4ae7663f7835c49cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GLNIXLS7AGKYQ7XSWB3F3E2LPG \
| 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: 32da8bae5f0195887ef2b0765d934b79aa9b4d601c3d9ae4ae7663f7835c49cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "68ca80c81a6760006fd4c9b303f00ae30b90c052a717a74c018f1857c9500e92",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-06-14T20:14:25Z",
"title_canon_sha256": "f8292d34b32a957eed272f23fe89a74bce7b13f5e564b3bb7d33c0d70446b554"
},
"schema_version": "1.0",
"source": {
"id": "1806.05724",
"kind": "arxiv",
"version": 1
}
}