Pith Number
pith:FJVKRSMO
pith:2026:FJVKRSMOT2Q66GHPIC4NFJDMET
not attested
not anchored
not stored
refs pending
Two-Stage Fine-Tuning of ResNet50 for High-Sensitivity Melanoma Detection on Dermoscopic Images
arxiv:2606.17504 v1 · 2026-06-11 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FJVKRSMOT2Q66GHPIC4NFJDMET}
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 | 2026-06-19T16:10:14.571991Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a6aa8c98e9ea1ef18ef40b8d2a46c24ede8e7d734a37954a099d25b6b2c13ca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FJVKRSMOT2Q66GHPIC4NFJDMET \
| 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: 2a6aa8c98e9ea1ef18ef40b8d2a46c24ede8e7d734a37954a099d25b6b2c13ca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9e4f1b76247e1ee664621992bf651c0f805849a0c10aaf49f10513b3ef9a5f7d",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2026-06-11T15:15:45Z",
"title_canon_sha256": "e4ccea84a69b363348285ff7f8d67c9901f38b09e688eab1640047bfdcf21446"
},
"schema_version": "1.0",
"source": {
"id": "2606.17504",
"kind": "arxiv",
"version": 1
}
}