Pith Number
pith:7GCHZUZO
pith:2022:7GCHZUZOAEUW2S4DS2PC3BJWTC
not attested
not anchored
not stored
refs pending
MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering
arxiv:2203.14371 v1 · 2022-03-27 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7GCHZUZOAEUW2S4DS2PC3BJWTC}
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 | 2026-07-05T04:09:04.149958Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9847cd32e01296d4b83969e2d8536989ba1b751d28b699e70d0144729a0a31b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7GCHZUZOAEUW2S4DS2PC3BJWTC \
| 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: f9847cd32e01296d4b83969e2d8536989ba1b751d28b699e70d0144729a0a31b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "345fa5ea088328f6c6c05837106bd09a3e4c12e983ea239eb3cc9f9d52792bcd",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-03-27T18:59:16Z",
"title_canon_sha256": "1e3985584c2338e79d3da80427de67c06923984a9f360124815e6bd4b8975010"
},
"schema_version": "1.0",
"source": {
"id": "2203.14371",
"kind": "arxiv",
"version": 1
}
}