Pith Number
pith:IH2RGY7I
pith:2019:IH2RGY7IVOV4LZIPA4JRNW2LU6
not attested
not anchored
not stored
refs pending
Learning to Segment Skin Lesions from Noisy Annotations
arxiv:1906.03815 v2 · 2019-06-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IH2RGY7IVOV4LZIPA4JRNW2LU6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-04T23:58:57.847716Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
41f51363e8ababc5e50f071316db4ba7b6220168b54b7b4cbff6b40b56367d39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IH2RGY7IVOV4LZIPA4JRNW2LU6 \
| 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: 41f51363e8ababc5e50f071316db4ba7b6220168b54b7b4cbff6b40b56367d39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8921d4437adfccc800a715a14cb3a0d4e0eb2ce50ae3b47fddcdd52c46585115",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-06-10T06:51:21Z",
"title_canon_sha256": "cb6ad1361547664e4e5d65ec98882fc86570e4d5d4d2bb119cdae32d07a738a3"
},
"schema_version": "1.0",
"source": {
"id": "1906.03815",
"kind": "arxiv",
"version": 2
}
}