Pith Number
pith:LMW2CR2N
pith:2026:LMW2CR2N3VVCADCNSXJ4TGAWBL
not attested
not anchored
not stored
refs pending
LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
arxiv:2603.13673 v2 · 2026-03-14 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMW2CR2N3VVCADCNSXJ4TGAWBL}
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
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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 | 2026-06-24T00:14:22.652799Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b2da1474ddd6a200c4d95d3c998160afbae2c84ebd4caa6b27c5ec04cc0f2d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMW2CR2N3VVCADCNSXJ4TGAWBL \
| 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: 5b2da1474ddd6a200c4d95d3c998160afbae2c84ebd4caa6b27c5ec04cc0f2d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9668ef1863a98d710494799883388adc59d2e4a18643acc686e67206650317c5",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-03-14T00:45:23Z",
"title_canon_sha256": "9cc147315835f33e0744c9e0da150339ef196a5af646cd4f0299310d32fee815"
},
"schema_version": "1.0",
"source": {
"id": "2603.13673",
"kind": "arxiv",
"version": 2
}
}