Pith Number
pith:LPIV26OB
pith:2018:LPIV26OBGLPGLKMZSASKWI7YZV
not attested
not anchored
not stored
refs pending
3D Convolutional Neural Networks for Tumor Segmentation using Long-range 2D Context
arxiv:1807.08599 v1 · 2018-07-23 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LPIV26OBGLPGLKMZSASKWI7YZV}
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 | 2026-05-18T00:10:05.370172Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5bd15d79c132de65a9999024ab23f8cd444e5784cf29017de3f426fb0535030f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LPIV26OBGLPGLKMZSASKWI7YZV \
| 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: 5bd15d79c132de65a9999024ab23f8cd444e5784cf29017de3f426fb0535030f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "47569135f6ae1b3d2995d91982356dc28e57146c6cc316d5e9ea6c11895114df",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-23T13:31:51Z",
"title_canon_sha256": "6ef4b48752c13eb5eabb69c37c2af78e58937f3475819391a0995bca846c6b6a"
},
"schema_version": "1.0",
"source": {
"id": "1807.08599",
"kind": "arxiv",
"version": 1
}
}