Pith Number
pith:KCUUCUCE
pith:2025:KCUUCUCEIR73CQRBCWBFYNM3ZB
not attested
not anchored
not stored
refs pending
Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence
arxiv:2504.02799 v1 · 2025-04-03 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KCUUCUCEIR73CQRBCWBFYNM3ZB}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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Citations
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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 | 2026-07-05T10:44:02.528891Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
50a9415044447fb1422115825c359bc85825e6a8e7c60e43c831bceb6790563f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KCUUCUCEIR73CQRBCWBFYNM3ZB \
| 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: 50a9415044447fb1422115825c359bc85825e6a8e7c60e43c831bceb6790563f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aef679d53e148567b8aaf4bf1bae8454b6d5f06a2ad743266a6f19bf9a0f264f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-03T17:42:56Z",
"title_canon_sha256": "3d351331171265c9ea0be1ad98b78ee419b4b8149b3d6017e86128f2837c29ff"
},
"schema_version": "1.0",
"source": {
"id": "2504.02799",
"kind": "arxiv",
"version": 1
}
}