Pith Number
pith:BWZGQCX4
pith:2017:BWZGQCX4BLD73DRMHAS3YGIX4S
not attested
not anchored
not stored
refs pending
SegAN: Adversarial Network with Multi-scale $L_1$ Loss for Medical Image Segmentation
arxiv:1706.01805 v2 · 2017-06-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BWZGQCX4BLD73DRMHAS3YGIX4S}
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 | 2026-05-18T00:16:45.279786Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0db2680afc0ac7fd8e2c3825bc1917e49fe8056dffd9a275b988b0312117b88a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWZGQCX4BLD73DRMHAS3YGIX4S \
| 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: 0db2680afc0ac7fd8e2c3825bc1917e49fe8056dffd9a275b988b0312117b88a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5ffcd3fe830a60fabc3c2651a030cbd1be6d6d9559788c09ad69ec82bb36ce9a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-06-06T15:01:57Z",
"title_canon_sha256": "5f21ced6f0ccff2e85cab5ab6506afd87c0674d9726b154ee811ea5355331cd1"
},
"schema_version": "1.0",
"source": {
"id": "1706.01805",
"kind": "arxiv",
"version": 2
}
}