Pith Number
pith:5CPBRG6U
pith:2023:5CPBRG6UWW4G7HEZMBWQDWLT34
not attested
not anchored
not stored
refs pending
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation
arxiv:2303.16892 v1 · 2023-03-29 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5CPBRG6UWW4G7HEZMBWQDWLT34}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:56:11.702603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e89e189bd4b5b86f9c99606d01d973df07f285bcbc63934b460b1946a8c716b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5CPBRG6UWW4G7HEZMBWQDWLT34 \
| 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: e89e189bd4b5b86f9c99606d01d973df07f285bcbc63934b460b1946a8c716b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96b1c901ec42cce365d67fac38963eb40a4eb07169a982d8220a776233c86be1",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-29T17:58:40Z",
"title_canon_sha256": "0ee4b67c2f845958041b1b124559f37e7426fc78d160fdeaa549483cdd209d52"
},
"schema_version": "1.0",
"source": {
"id": "2303.16892",
"kind": "arxiv",
"version": 1
}
}