Pith Number
pith:ZIGIDMT2
pith:2019:ZIGIDMT2QF76TUXIVMOUQOHV4B
not attested
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not stored
refs pending
TopoResNet: A hybrid deep learning architecture and its application to skin lesion classification
arxiv:1905.08607 v1 · 2019-05-13 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZIGIDMT2QF76TUXIVMOUQOHV4B}
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 | 2026-05-17T23:45:42.693800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ca0c81b27a817fe9d2e8ab1d4838f5e045129f437dbe34dfc3851e2fec842d90
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZIGIDMT2QF76TUXIVMOUQOHV4B \
| 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: ca0c81b27a817fe9d2e8ab1d4838f5e045129f437dbe34dfc3851e2fec842d90
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e7da0f03cafc018c0ea1e4ffe3ab8be61da9976e734ac5c77619c97a42dea1f9",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-13T21:16:39Z",
"title_canon_sha256": "0ffd10985c130e0a1cebce6951fc046f974d6169cd1aaa8e59c8f8930ae33beb"
},
"schema_version": "1.0",
"source": {
"id": "1905.08607",
"kind": "arxiv",
"version": 1
}
}