Pith Number
pith:JD6VPTO6
pith:2023:JD6VPTO6YWQUOHKY43N4D3TXGC
not attested
not anchored
not stored
refs pending
Cross-modal tumor segmentation using generative blending augmentation and self training
arxiv:2304.01705 v2 · 2023-04-04 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JD6VPTO6YWQUOHKY43N4D3TXGC}
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 | 2026-07-05T08:01:58.785397Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
48fd57cddec5a1471d58e6dbc1ee77309f6a4ddd68e0a3526a17b8b2f0c1c19d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JD6VPTO6YWQUOHKY43N4D3TXGC \
| 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: 48fd57cddec5a1471d58e6dbc1ee77309f6a4ddd68e0a3526a17b8b2f0c1c19d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b4e806d8b424c574d35b73d640d9d121dc318007e55275bf74d9d0618ee647e0",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-04-04T11:01:46Z",
"title_canon_sha256": "3af4977bf42edd16e478db81ea76cc669139c540d2951c13f12b0188df61e7db"
},
"schema_version": "1.0",
"source": {
"id": "2304.01705",
"kind": "arxiv",
"version": 2
}
}