Pith Number
pith:BXU5ZZHC
pith:2026:BXU5ZZHCFLW5MVGAOZVKEKQHAA
not attested
not anchored
not stored
refs pending
Trustworthy Medical Segmentation: Uncertainty-Aware U-Net Evaluation Under Clinical Image Degradation
arxiv:2607.22727 v1 · 2026-07-22 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BXU5ZZHCFLW5MVGAOZVKEKQHAA}
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 | 2026-07-28T00:21:51.384923Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0de9dce4e22aedd654c0766aa22a0700074ba5532a6bfdc1039361fb7e6e237e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BXU5ZZHCFLW5MVGAOZVKEKQHAA \
| 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: 0de9dce4e22aedd654c0766aa22a0700074ba5532a6bfdc1039361fb7e6e237e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ffc31bea6e72259ecd3522e726a3c24e3fa7c5834a32e547ac37c9217c99853",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-07-22T06:35:33Z",
"title_canon_sha256": "661ed80bd531cc882e0ca44a18120e3701e99c0f5a8b7f3d259f3319a6107bff"
},
"schema_version": "1.0",
"source": {
"id": "2607.22727",
"kind": "arxiv",
"version": 1
}
}