Pith Number
pith:EC2HTXA6
pith:2019:EC2HTXA6F4LFSU6CWAEWZECAFU
not attested
not anchored
not stored
refs pending
Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge
arxiv:1909.00735 v1 · 2019-09-02 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EC2HTXA6F4LFSU6CWAEWZECAFU}
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 | 2026-07-05T01:48:06.390961Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
20b479dc1e2f165953c2b0096c90402d085a09212cd71ef878aa23dc8a44e272
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EC2HTXA6F4LFSU6CWAEWZECAFU \
| 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: 20b479dc1e2f165953c2b0096c90402d085a09212cd71ef878aa23dc8a44e272
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2aa8caacdb875c1e908f5c7abf0bb2c1ac0a04126e5d2ab3f1430ced19d3fb87",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-09-02T14:35:32Z",
"title_canon_sha256": "788e6a9c942aa34939fee9d2a74e35b46a657cfdd426dab77da03bff57221341"
},
"schema_version": "1.0",
"source": {
"id": "1909.00735",
"kind": "arxiv",
"version": 1
}
}