Pith Number
pith:KZLUL4T2
pith:2020:KZLUL4T2DWY46HAMS4YII3XKBJ
not attested
not anchored
not stored
refs pending
Deep Learning Approaches for Extracting Adverse Events and Indications of Dietary Supplements from Clinical Text
arxiv:2009.07780 v2 · 2020-09-16 · cs.IR · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZLUL4T2DWY46HAMS4YII3XKBJ}
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 | 2026-07-05T01:53:22.189066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
565745f27a1db1cf1c0c9730846eea0a56781538ad1a79ce63f82f6a367c244d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZLUL4T2DWY46HAMS4YII3XKBJ \
| 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: 565745f27a1db1cf1c0c9730846eea0a56781538ad1a79ce63f82f6a367c244d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3e641d03371dbfe86fe3a1708307056f777a6c5047162cbab9c3f37693f2f337",
"cross_cats_sorted": [
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2020-09-16T16:18:04Z",
"title_canon_sha256": "7610afcfd3083c826d252b9f158ed89c332056cfe1fb82e6f6f581907497e2e3"
},
"schema_version": "1.0",
"source": {
"id": "2009.07780",
"kind": "arxiv",
"version": 2
}
}