Pith Number
pith:ALDZW4JN
pith:2024:ALDZW4JNXTAJTFNW5A5MHWQWAN
not attested
not anchored
not stored
refs pending
Uncertainty Quantified Deep Learning and Regression Analysis Framework for Image Segmentation of Skin Cancer Lesions
arxiv:2412.20007 v1 · 2024-12-28 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ALDZW4JNXTAJTFNW5A5MHWQWAN}
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 | 2026-07-05T09:54:53.045337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ALDZW4JNXTAJTFNW5A5MHWQWAN \
| 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: 02c79b712dbcc09995b6e83ac3da1603407f1faab055bf0c6a269b4a552e009c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1587c709c09965b3edc768627519d029c070e2a1106d2448d3ce009fc2a177e1",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-12-28T04:06:44Z",
"title_canon_sha256": "fb14b525638c945ce69f2cbaed820be9ccfb617e64e6afd4809e56ddd89df301"
},
"schema_version": "1.0",
"source": {
"id": "2412.20007",
"kind": "arxiv",
"version": 1
}
}