Pith Number
pith:ICKL3CGI
pith:2024:ICKL3CGID5GC2WVSEHNQISSHJF
not attested
not anchored
not stored
refs pending
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models
arxiv:2404.14567 v1 · 2024-04-22 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ICKL3CGID5GC2WVSEHNQISSHJF}
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 | 2026-07-05T08:11:07.157260Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4094bd88c81f4c2d5ab221db044a47497038216a1f0b10bb25b205581dac82eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ICKL3CGID5GC2WVSEHNQISSHJF \
| 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: 4094bd88c81f4c2d5ab221db044a47497038216a1f0b10bb25b205581dac82eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e3a54e17130cd829b943cb0ad7e71e8064704e3dfcb5bb7b9929b4aba6acc17",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-04-22T20:29:58Z",
"title_canon_sha256": "daee50788b75dd5288a9bcf0d9423d7e0dcf37618da95d7e4b506b0dfad446f0"
},
"schema_version": "1.0",
"source": {
"id": "2404.14567",
"kind": "arxiv",
"version": 1
}
}