Pith Number
pith:2S65ZY6S
pith:2026:2S65ZY6SUG7BH2J73WYZFQCTVT
not attested
not anchored
not stored
refs pending
Cardiac fat segmentation using computed tomography and an image-to-image conditional generative adversarial neural network
arxiv:2605.20064 v1 · 2026-05-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2S65ZY6SUG7BH2J73WYZFQCTVT}
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 | 2026-05-20T02:06:00.744396Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4bddce3d2a1be13e93fddb192c053acf9cbb0f58903ea484113a0e23b14bbd2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2S65ZY6SUG7BH2J73WYZFQCTVT \
| 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: d4bddce3d2a1be13e93fddb192c053acf9cbb0f58903ea484113a0e23b14bbd2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33947220d747fcc80584b8ced5005b39d9d445f63cbc8108ef9baaa9bd990072",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-19T16:20:24Z",
"title_canon_sha256": "f75d60e4e433538bf5a92b45b33e5b83e050a589857b61192ab1aee58c8ba041"
},
"schema_version": "1.0",
"source": {
"id": "2605.20064",
"kind": "arxiv",
"version": 1
}
}