Pith Number
pith:XQFR4LYS
pith:2018:XQFR4LYSXYEYG5LPJMMIDACOMI
not attested
not anchored
not stored
refs pending
Automatic segmentation of skin lesions using deep learning
arxiv:1807.04893 v1 · 2018-07-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XQFR4LYSXYEYG5LPJMMIDACOMI}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:10:49.491458Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bc0b1e2f12be0983756f4b1881804e6216464880813ae027c20f23a6fda3815e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XQFR4LYSXYEYG5LPJMMIDACOMI \
| 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: bc0b1e2f12be0983756f4b1881804e6216464880813ae027c20f23a6fda3815e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca9c6196998a58ab731d2dccbe76203da4241026b1d09f7554408e961677763a",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-07-13T02:34:24Z",
"title_canon_sha256": "ad0b8520a15cd6de98c546c64f0342a0e63c898690539c0a1e5c12f7f514e4f6"
},
"schema_version": "1.0",
"source": {
"id": "1807.04893",
"kind": "arxiv",
"version": 1
}
}