Pith Number
pith:WRTTJ4E7
pith:2018:WRTTJ4E7WJFBZI4ABGM2MYICH7
not attested
not anchored
not stored
refs pending
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
arxiv:1812.03945 v1 · 2018-12-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WRTTJ4E7WJFBZI4ABGM2MYICH7}
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 | 2026-05-17T23:58:43.516152Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b46734f09fb24a1ca3800999a661023fe312688e59f0cfe7056a78d0035771b2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WRTTJ4E7WJFBZI4ABGM2MYICH7 \
| 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: b46734f09fb24a1ca3800999a661023fe312688e59f0cfe7056a78d0035771b2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d24b38084d0295534f5c43779503173ca757cb4e62ae3a61c3893b4d17f0d70b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-12-10T17:58:00Z",
"title_canon_sha256": "1a48798ab7796bdcf11ae61c4acecd87836481660254415bbbd708f3ba19c39a"
},
"schema_version": "1.0",
"source": {
"id": "1812.03945",
"kind": "arxiv",
"version": 1
}
}