Pith Number
pith:ZTNJ7IVE
pith:2024:ZTNJ7IVEDPDLTK4NHE23452OMN
not attested
not anchored
not stored
refs pending
How well do LLMs cite relevant medical references? An evaluation framework and analyses
arxiv:2402.02008 v1 · 2024-02-03 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZTNJ7IVEDPDLTK4NHE23452OMN}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T07:41:09.675773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ccda9fa2a41bc6b9ab8d3935be774e634e4742524dbf3c0a9d3a0918de614e94
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZTNJ7IVEDPDLTK4NHE23452OMN \
| 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: ccda9fa2a41bc6b9ab8d3935be774e634e4742524dbf3c0a9d3a0918de614e94
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88c42ca177cd0b4d1b2ffcf4fe4056592aef73b400be0442a1b69c9fce3cce83",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-02-03T03:44:57Z",
"title_canon_sha256": "c8ae533cde398de9e2c9dd16e9639a5d8a35c56034912947d08682203b5efc99"
},
"schema_version": "1.0",
"source": {
"id": "2402.02008",
"kind": "arxiv",
"version": 1
}
}