Pith Number
pith:B5VFFZP5
pith:2025:B5VFFZP5FOWJUFGDMF6WAM7JZF
not attested
not anchored
not stored
refs pending
TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound
arxiv:2507.18082 v3 · 2025-07-24 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B5VFFZP5FOWJUFGDMF6WAM7JZF}
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 | 2026-07-05T11:45:38.071987Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f6a52e5fd2bac9a14c3617d6033e9c97c1dc79590e4e2f9a6f23d12d869c338
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5VFFZP5FOWJUFGDMF6WAM7JZF \
| 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: 0f6a52e5fd2bac9a14c3617d6033e9c97c1dc79590e4e2f9a6f23d12d869c338
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "73484ff313a43e7d5b2406b85cf5b0751fe5087fba99baeaeaa14d3c26074e0c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-24T04:17:06Z",
"title_canon_sha256": "4102e72baffde796db30c5e679745e733eaae88dde19aeb0fff6836ac6b30a90"
},
"schema_version": "1.0",
"source": {
"id": "2507.18082",
"kind": "arxiv",
"version": 3
}
}