Pith Number
pith:JXVVLUWB
pith:2024:JXVVLUWBWIOTA5LSJ5BLBZEY2Q
not attested
not anchored
not stored
refs pending
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
arxiv:2409.07960 v1 · 2024-09-12 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JXVVLUWBWIOTA5LSJ5BLBZEY2Q}
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
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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 | 2026-07-05T09:06:18.063342Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4deb55d2c1b21d3075724f42b0e498d41cad1673212356cced99ae1001d3de94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JXVVLUWBWIOTA5LSJ5BLBZEY2Q \
| 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: 4deb55d2c1b21d3075724f42b0e498d41cad1673212356cced99ae1001d3de94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4786353ccd3af2af6d6d9a81fa14597633038426488e3ded81e98ab06d73081",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-12T11:41:35Z",
"title_canon_sha256": "7588836f1b5d46c81ff26fe7b73ccf0debd6f35caa8ec8a56ca1e3cb4aa50a97"
},
"schema_version": "1.0",
"source": {
"id": "2409.07960",
"kind": "arxiv",
"version": 1
}
}