Pith Number
pith:3VFCPMMN
pith:2020:3VFCPMMN75J3WBCA5AI6ZF3CK3
not attested
not anchored
not stored
refs pending
Melanoma Diagnosis with Spatio-Temporal Feature Learning on Sequential Dermoscopic Images
arxiv:2006.10950 v1 · 2020-06-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3VFCPMMN75J3WBCA5AI6ZF3CK3}
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 | 2026-07-05T01:11:27.157004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dd4a27b18dff53bb0440e811ec976256f57973744a05f2f5e9362a8b69927fa6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3VFCPMMN75J3WBCA5AI6ZF3CK3 \
| 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: dd4a27b18dff53bb0440e811ec976256f57973744a05f2f5e9362a8b69927fa6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa69010ee96b779c04e25252e2555afa842e551339340fe7e88698ecb55014eb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-06-19T04:08:22Z",
"title_canon_sha256": "33e73105f4e91ad4d0a31c7a4baea878e8180232de13d46cb3f6f552e99f9091"
},
"schema_version": "1.0",
"source": {
"id": "2006.10950",
"kind": "arxiv",
"version": 1
}
}