Pith Number
pith:HLBBRFS6
pith:2021:HLBBRFS66KANWWGRLKMHMGB3HK
not attested
not anchored
not stored
refs pending
Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
arxiv:2104.01985 v1 · 2021-04-05 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HLBBRFS66KANWWGRLKMHMGB3HK}
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 | 2026-07-05T02:29:06.188844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ac218965ef280db58d15a9876183b3aa8ac1d9d530db6605e940395492c1d35
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HLBBRFS66KANWWGRLKMHMGB3HK \
| 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: 3ac218965ef280db58d15a9876183b3aa8ac1d9d530db6605e940395492c1d35
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "315228f0064a02f81eaad3c8dc58a5f8116ce7e0540c8ad1e9d57d403db078cc",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-04-05T16:24:32Z",
"title_canon_sha256": "87ae4da458bc52c1ce5ed1659a5d8ca825059b8927083bdb6a37754bb7b75865"
},
"schema_version": "1.0",
"source": {
"id": "2104.01985",
"kind": "arxiv",
"version": 1
}
}