Pith Number
pith:LLFFT4L6
pith:2023:LLFFT4L6JNZHS5Y3EZTRSZU5IM
not attested
not anchored
not stored
refs pending
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation
arxiv:2303.09233 v3 · 2023-03-16 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LLFFT4L6JNZHS5Y3EZTRSZU5IM}
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 | 2026-07-05T09:56:19.973503Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5aca59f17e4b7279771b266719669d430cc862d4716e2515b03c1b7844732dac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LLFFT4L6JNZHS5Y3EZTRSZU5IM \
| 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: 5aca59f17e4b7279771b266719669d430cc862d4716e2515b03c1b7844732dac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aa418f8cd12c3e175a108130de63afa7be31362503495aca034c0f438e02d35e",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-03-16T11:16:02Z",
"title_canon_sha256": "a77db6e1dbcca4db616be81a6b58676598f013bebcd2aab720af09116c3ba143"
},
"schema_version": "1.0",
"source": {
"id": "2303.09233",
"kind": "arxiv",
"version": 3
}
}