Pith Number
pith:MVJM4L32
pith:2025:MVJM4L32Z5JAGDJPFUNK56LKHT
not attested
not anchored
not stored
refs pending
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM
arxiv:2501.07017 v2 · 2025-01-13 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVJM4L32Z5JAGDJPFUNK56LKHT}
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
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claim
4
Citations
5
Replications
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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 | 2026-07-05T11:22:17.411772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6552ce2f7acf52030d2f2d1aaef96a3cee6371e3a6102d364a39facc2a0fe8fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVJM4L32Z5JAGDJPFUNK56LKHT \
| 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: 6552ce2f7acf52030d2f2d1aaef96a3cee6371e3a6102d364a39facc2a0fe8fe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "65fac7b6b9622bdfdb6f22590bc68e04e3015f6241981cbab9a58eb77a534f9a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-13T02:33:28Z",
"title_canon_sha256": "39b22cfb32c6a3fe6a1ef42dbf88a30afc54d73f3ee22857f99966e0579b6167"
},
"schema_version": "1.0",
"source": {
"id": "2501.07017",
"kind": "arxiv",
"version": 2
}
}