Pith Number
pith:LGPNZIFX
pith:2019:LGPNZIFXKXKZPEW4JFURZTYY5Z
not attested
not anchored
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refs pending
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
arxiv:1904.11126 v1 · 2019-04-25 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LGPNZIFXKXKZPEW4JFURZTYY5Z}
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 | 2026-05-17T23:47:45.716592Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
599edca0b755d59792dc49691ccf18ee7809ac99bbb3b55513f6cb480d3f8b4d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LGPNZIFXKXKZPEW4JFURZTYY5Z \
| 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: 599edca0b755d59792dc49691ccf18ee7809ac99bbb3b55513f6cb480d3f8b4d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6a9881112bf38964dda82edb45cee5a17c272e4e2a56c5b74fe03cb77734524",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-25T02:24:55Z",
"title_canon_sha256": "bc9a202d1f8319d3c7c031784c985d82cb31623cefd06dd2208ba400563668d5"
},
"schema_version": "1.0",
"source": {
"id": "1904.11126",
"kind": "arxiv",
"version": 1
}
}