Pith Number
pith:MSYKUDKS
pith:2025:MSYKUDKSIYIIMQGOXOA36OYX7T
not attested
not anchored
not stored
refs pending
Multimodal Large Language Models for Medicine: A Comprehensive Survey
arxiv:2504.21051 v1 · 2025-04-29 · cs.LG · cs.CL · cs.MM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MSYKUDKSIYIIMQGOXOA36OYX7T}
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 | 2026-07-05T10:55:55.831933Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
64b0aa0d5246108640cebb81bf3b17fcf5322750dcd659e593c1925bc48d5a1f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MSYKUDKSIYIIMQGOXOA36OYX7T \
| 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: 64b0aa0d5246108640cebb81bf3b17fcf5322750dcd659e593c1925bc48d5a1f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fc1babd982253ca8541e0023a71efbf35ad90ad811d6219643d7adf75f0fbfd",
"cross_cats_sorted": [
"cs.CL",
"cs.MM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-29T03:07:38Z",
"title_canon_sha256": "4c735e20e2c9383c6efb76835ced0817f9fe799b9e328d371ffbc86c528222b1"
},
"schema_version": "1.0",
"source": {
"id": "2504.21051",
"kind": "arxiv",
"version": 1
}
}