Pith Number
pith:FCHE7MJR
pith:2021:FCHE7MJRYDMNA4BHKZ5F2Q4GS3
not attested
not anchored
not stored
refs pending
A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
arxiv:2104.03927 v1 · 2021-04-08 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCHE7MJRYDMNA4BHKZ5F2Q4GS3}
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 | 2026-07-05T02:30:25.090884Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
288e4fb131c0d8d07027567a5d438696da425d6937ecbf01a86a004ca4b26f27
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCHE7MJRYDMNA4BHKZ5F2Q4GS3 \
| 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: 288e4fb131c0d8d07027567a5d438696da425d6937ecbf01a86a004ca4b26f27
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a600875901cf4301b161045ef66820458fcb0580a2b06e3509091c2ab72d360d",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-04-08T17:16:12Z",
"title_canon_sha256": "7ecfdfa2a66ea51e105991e1e6a14a6e18b02ba931518a549b2d3b055c021ea9"
},
"schema_version": "1.0",
"source": {
"id": "2104.03927",
"kind": "arxiv",
"version": 1
}
}