Pith Number
pith:ZRNW5WJN
pith:2020:ZRNW5WJNKITBPRQNYANV2CYWDO
not attested
not anchored
not stored
refs pending
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
arxiv:2007.15546 v4 · 2020-07-29 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZRNW5WJNKITBPRQNYANV2CYWDO}
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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 | 2026-07-05T03:46:56.062020Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cc5b6ed92d522617c60dc01b5d0b161b9a38b214119b8c6b18ca4235b2e92c55
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZRNW5WJNKITBPRQNYANV2CYWDO \
| 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: cc5b6ed92d522617c60dc01b5d0b161b9a38b214119b8c6b18ca4235b2e92c55
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b8781998a53cbb61b56459124905c2d2dd6e0c768ed76e862a5e6d38b2c2555b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-07-29T10:40:39Z",
"title_canon_sha256": "bd57e6b1369f9e15b49b99317e020e6de3860c1329bd2a78d0f496607a4f3155"
},
"schema_version": "1.0",
"source": {
"id": "2007.15546",
"kind": "arxiv",
"version": 4
}
}