Pith Number
pith:EQP4WHQ5
pith:2018:EQP4WHQ5RRQROADHLFODIIJMXK
not attested
not anchored
not stored
refs pending
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning
arxiv:1804.03830 v1 · 2018-04-11 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EQP4WHQ5RRQROADHLFODIIJMXK}
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 | 2026-05-18T00:18:40.702516Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
241fcb1e1d8c61170067595c34212cba8779ed087d1d2af51fb0cba0981450bf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EQP4WHQ5RRQROADHLFODIIJMXK \
| 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: 241fcb1e1d8c61170067595c34212cba8779ed087d1d2af51fb0cba0981450bf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33211e952463a0602e9072b99ad9c1bd2a69f6cc5b7c0899c6383f48ff31a155",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-04-11T06:30:30Z",
"title_canon_sha256": "a7281f66904530b81d19a142dfec1dfef81155947c856bfa3e34b52421ad1ec8"
},
"schema_version": "1.0",
"source": {
"id": "1804.03830",
"kind": "arxiv",
"version": 1
}
}