Pith Number
pith:SJQBX2F7
pith:2025:SJQBX2F7B24N6WP4PWYZ3O4CPG
not attested
not anchored
not stored
refs pending
GUSL: A Novel and Efficient Machine Learning Model for Prostate Segmentation on MRI
arxiv:2506.23688 v1 · 2025-06-30 · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SJQBX2F7B24N6WP4PWYZ3O4CPG}
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 | 2026-07-05T11:29:26.387056Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92601be8bf0eb8df59fc7db19dbb827998b9f6bcb53f8d78bb77bc1310a9e739
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SJQBX2F7B24N6WP4PWYZ3O4CPG \
| 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: 92601be8bf0eb8df59fc7db19dbb827998b9f6bcb53f8d78bb77bc1310a9e739
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d392fefb2e5e7cfa3543aaf52fe3a2809e0d78d526d90f7d2561e55d956f1b9",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-30T10:08:25Z",
"title_canon_sha256": "3252bbb8776a568939a4667eef9af3a75a10fc6b2bdd8d8fda2becb446c11fee"
},
"schema_version": "1.0",
"source": {
"id": "2506.23688",
"kind": "arxiv",
"version": 1
}
}