Pith Number
pith:FHXLS242
pith:2023:FHXLS242TFB5P5N6FCQM4DJFAW
not attested
not anchored
not stored
refs pending
LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images
arxiv:2309.05780 v1 · 2023-09-11 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FHXLS242TFB5P5N6FCQM4DJFAW}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-07-05T06:49:46.453723Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29eeb96b9a9943d7f5be28a0ce0d2505ab343d928cb350c773af5aa8b1fd5749
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FHXLS242TFB5P5N6FCQM4DJFAW \
| 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: 29eeb96b9a9943d7f5be28a0ce0d2505ab343d928cb350c773af5aa8b1fd5749
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d9ff174cc8cc7d1854a87109c1d052d86356adac76b47474d431db4b8974dfc7",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-09-11T19:24:40Z",
"title_canon_sha256": "faa8229f4bee71f1fe84054960f8e3a5d445818bc5b904795b4a5a57005bf946"
},
"schema_version": "1.0",
"source": {
"id": "2309.05780",
"kind": "arxiv",
"version": 1
}
}