Pith Number
pith:6YQ5JEEO
pith:2025:6YQ5JEEOFLZJC37OR4UVIAUKP7
not attested
not anchored
not stored
refs pending
ELMTEX: Fine-Tuning Large Language Models for Structured Clinical Information Extraction. A Case Study on Clinical Reports
arxiv:2502.05638 v1 · 2025-02-08 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6YQ5JEEOFLZJC37OR4UVIAUKP7}
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 | 2026-07-05T11:33:19.673026Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f621d4908e2af2916fee8f2954028a7fe1c4b3b620438cb8d01919b54f88cfcd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6YQ5JEEOFLZJC37OR4UVIAUKP7 \
| 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: f621d4908e2af2916fee8f2954028a7fe1c4b3b620438cb8d01919b54f88cfcd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "11de7528bde0556848e229ed45a2e27cb85c84f5d887a402463ec38b2fd34ac8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-02-08T16:44:56Z",
"title_canon_sha256": "cb2be58a9a8ec76ec66bf7c77109ef3278d3a09b7da092277bc4563bcdad0bb1"
},
"schema_version": "1.0",
"source": {
"id": "2502.05638",
"kind": "arxiv",
"version": 1
}
}