Pith Number
pith:2RQJO6RY
pith:2025:2RQJO6RYAV66EFR27GRO3PAR3Z
not attested
not anchored
not stored
refs pending
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
arxiv:2502.09242 v1 · 2025-02-13 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2RQJO6RYAV66EFR27GRO3PAR3Z}
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 | 2026-07-05T11:59:57.357737Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d460977a38057de2163af9a2edbc11de6acc3cefd5cfb637b733d796ac23c535
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2RQJO6RYAV66EFR27GRO3PAR3Z \
| 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: d460977a38057de2163af9a2edbc11de6acc3cefd5cfb637b733d796ac23c535
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e585df8b59ff75917f6036ee618efea7b4ab90b024308b4a6078a7c4083d6bab",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-02-13T11:57:51Z",
"title_canon_sha256": "90bc579630109f8183957e3f56a0259740d1ce098b431e1d3f8e1298760a3482"
},
"schema_version": "1.0",
"source": {
"id": "2502.09242",
"kind": "arxiv",
"version": 1
}
}