Pith Number
pith:ML56HZQP
pith:2017:ML56HZQPDPFQ26HOW7HRCAKW4Z
not attested
not anchored
not stored
refs pending
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
arxiv:1703.05165 v2 · 2017-03-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ML56HZQPDPFQ26HOW7HRCAKW4Z}
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 | 2026-05-18T00:20:27.614218Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62fbe3e60f1bcb0d78eeb7cf110156e65d548d7db6fb12a2a834b2e791b6b70b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ML56HZQPDPFQ26HOW7HRCAKW4Z \
| 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: 62fbe3e60f1bcb0d78eeb7cf110156e65d548d7db6fb12a2a834b2e791b6b70b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87abf8c11ef801eb01162c886cf42f19efda739931d9445c7661af597780c4cb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-03-15T14:18:23Z",
"title_canon_sha256": "59850414cdfae1ae8dca9265b3dd0207ece22c3e9878e8d2c268a1f638daabc8"
},
"schema_version": "1.0",
"source": {
"id": "1703.05165",
"kind": "arxiv",
"version": 2
}
}