Pith Number
pith:DU3S6LTJ
pith:2025:DU3S6LTJZ3HIRJVZ7TSF4DH234
not attested
not anchored
not stored
refs pending
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation
arxiv:2501.02788 v2 · 2025-01-06 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DU3S6LTJZ3HIRJVZ7TSF4DH234}
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.
Receipt and verification
| First computed | 2026-07-05T11:35:31.681352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d372f2e69cece88a6b9fce45e0cfadf38be7f4f204e470a0fd36a9bb70fd79b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DU3S6LTJZ3HIRJVZ7TSF4DH234 \
| 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: 1d372f2e69cece88a6b9fce45e0cfadf38be7f4f204e470a0fd36a9bb70fd79b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0f2fb1ac478d2e1d28a34e4cd964b7f30ed98eefb3a7b8fc9fab3326440e924e",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-01-06T06:07:40Z",
"title_canon_sha256": "8ab6c45b8f84e8214a1777473a30f650567582fce303600275963a914252ea84"
},
"schema_version": "1.0",
"source": {
"id": "2501.02788",
"kind": "arxiv",
"version": 2
}
}