Pith Number
pith:5SGM3FIB
pith:2025:5SGM3FIBZGOL77TFMMLI3MX66M
not attested
not anchored
not stored
refs pending
GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
arxiv:2506.21245 v1 · 2025-06-26 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5SGM3FIBZGOL77TFMMLI3MX66M}
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 | 2026-07-05T11:27:42.170519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec8ccd9501c99cbffe6563168db2fef302a8b63763335fe60dd7ee2243f71210
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5SGM3FIBZGOL77TFMMLI3MX66M \
| 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: ec8ccd9501c99cbffe6563168db2fef302a8b63763335fe60dd7ee2243f71210
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "81639944e01a4cdee746a38fe3fcc4782e8e26610149b3adf373b79ff1b6906f",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-06-26T13:28:09Z",
"title_canon_sha256": "46495d80f85eade99dfdaa24ceba66a229e01ea83b0fdd0ab0e6dbbca20ead8b"
},
"schema_version": "1.0",
"source": {
"id": "2506.21245",
"kind": "arxiv",
"version": 1
}
}