Pith Number
pith:6XV5IKFW
pith:2023:6XV5IKFWNRW4H26YKUBMJQT34R
not attested
not anchored
not stored
refs pending
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers
arxiv:2309.02563 v1 · 2023-09-05 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6XV5IKFWNRW4H26YKUBMJQT34R}
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 | 2026-07-05T06:48:14.021824Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5ebd428b66c6dc3ebd85502c4c27be46f6a6d1b52178d10189f2837827ab6c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6XV5IKFWNRW4H26YKUBMJQT34R \
| 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: f5ebd428b66c6dc3ebd85502c4c27be46f6a6d1b52178d10189f2837827ab6c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5b5bbc91a428a0c5c784b291a3312a9360f870fa12a65b2386a081c246e055dd",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-09-05T20:24:27Z",
"title_canon_sha256": "c5d916a2ac14668ff7d9c9653176cc237e2eeea4b179234515c597a6c7ace358"
},
"schema_version": "1.0",
"source": {
"id": "2309.02563",
"kind": "arxiv",
"version": 1
}
}