Pith Number
pith:5LBIWDRI
pith:2024:5LBIWDRIXTVZ45UHMV6BGQAAA7
not attested
not anchored
not stored
refs pending
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study
arxiv:2406.16012 v1 · 2024-06-23 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5LBIWDRIXTVZ45UHMV6BGQAAA7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:35:52.019952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eac28b0e28bceb9e7687657c13400007f1249121faea9aa71d53baf02ad8e040
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LBIWDRIXTVZ45UHMV6BGQAAA7 \
| 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: eac28b0e28bceb9e7687657c13400007f1249121faea9aa71d53baf02ad8e040
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8fe8e7d85ff1d893d51de0bcd28666cc408bca67fd24d77a612d773d3d1cdf67",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-06-23T05:01:51Z",
"title_canon_sha256": "d3281e2bd7f2ad2dcd934dc39f6174bdba79c9306184c96cf6c42b39f2c00db4"
},
"schema_version": "1.0",
"source": {
"id": "2406.16012",
"kind": "arxiv",
"version": 1
}
}