Pith Number
pith:BW3YOUEU
pith:2019:BW3YOUEUI2Y5D6FN6T2NGVL5AJ
not attested
not anchored
not stored
refs pending
Brain MRI Tumor Segmentation with Adversarial Networks
arxiv:1910.02717 v2 · 2019-10-07 · eess.IV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BW3YOUEUI2Y5D6FN6T2NGVL5AJ}
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 | 2026-07-05T01:39:24.873102Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0db787509446b1d1f8adf4f4d3557d027e020fd17a1a6e70bb1ef1e1b6c55ddd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BW3YOUEUI2Y5D6FN6T2NGVL5AJ \
| 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: 0db787509446b1d1f8adf4f4d3557d027e020fd17a1a6e70bb1ef1e1b6c55ddd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7777220c7aba4bfc745e56552db9d4e54e3c6733ff679a07f9f21f7f28d5f4c8",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-10-07T10:51:56Z",
"title_canon_sha256": "5dcd318994400a18dcf2d00cb28a75059245ea41d1dbc5ebdfff8717461723c9"
},
"schema_version": "1.0",
"source": {
"id": "1910.02717",
"kind": "arxiv",
"version": 2
}
}