Pith Number
pith:GWU37IR3
pith:2019:GWU37IR3AB3HFWWXNJCQMPLKP4
not attested
not anchored
not stored
refs pending
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification
arxiv:1901.07759 v2 · 2019-01-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GWU37IR3AB3HFWWXNJCQMPLKP4}
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 | 2026-05-17T23:55:38.004425Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35a9bfa23b007672dad76a45063d6a7f17eebe4a7757b01364aec2a30c46eecc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GWU37IR3AB3HFWWXNJCQMPLKP4 \
| 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: 35a9bfa23b007672dad76a45063d6a7f17eebe4a7757b01364aec2a30c46eecc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c10c16309c3bb9b59186c8d3d613d18e1d29d94de0764e351ad4d13a5b40b06",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-23T08:03:51Z",
"title_canon_sha256": "75d6118719a8c3e020ebf9ec44f26a8663c1e2bff4c0bf77ac60190a90c74349"
},
"schema_version": "1.0",
"source": {
"id": "1901.07759",
"kind": "arxiv",
"version": 2
}
}