Pith Number
pith:S4JKPU3P
pith:2026:S4JKPU3P4NA6QK2GWRLEYMD3UN
not attested
not anchored
not stored
refs pending
Robustness of breast lesion segmentation under MRI undersampling improves with k-space-aware deep learning
arxiv:2605.22327 v1 · 2026-05-21 · cs.CV · physics.med-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S4JKPU3P4NA6QK2GWRLEYMD3UN}
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 | 2026-05-22T01:04:37.971605Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9712a7d36fe341e82b46b4564c307ba358a855dfb71703349b1887224c3ba19d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S4JKPU3P4NA6QK2GWRLEYMD3UN \
| 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: 9712a7d36fe341e82b46b4564c307ba358a855dfb71703349b1887224c3ba19d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "02b18eb8f89f725399d5a491780e3e6c53274d32934624db3bc2e30236b97cc5",
"cross_cats_sorted": [
"physics.med-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-21T11:18:26Z",
"title_canon_sha256": "f1ef9faa983affe2b86bed81bbb91e8c330d6abad8dc8312b77ee4ef160fa917"
},
"schema_version": "1.0",
"source": {
"id": "2605.22327",
"kind": "arxiv",
"version": 1
}
}