Pith Number
pith:6NBGV4FS
pith:2020:6NBGV4FSLCUDVOCTVUKCRPEOTZ
not attested
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refs pending
Natural Language Processing with Deep Learning for Medical Adverse Event Detection from Free-Text Medical Narratives: A Case Study of Detecting Total Hip Replacement Dislocation
arxiv:2004.08333 v2 · 2020-04-17 · cs.CL · cs.IR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6NBGV4FSLCUDVOCTVUKCRPEOTZ}
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Record completeness
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Bitcoin timestamp
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Citations
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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 | 2026-07-05T01:54:28.190948Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3426af0b258a83ab853ad1428bc8e9e527f3cb5c6df33117b2e523ecf34bb69
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6NBGV4FSLCUDVOCTVUKCRPEOTZ \
| 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: f3426af0b258a83ab853ad1428bc8e9e527f3cb5c6df33117b2e523ecf34bb69
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "feea13a2b4c7eed5ba47c92511bab706b7390f6e91ef1ab73823ac7803be6b53",
"cross_cats_sorted": [
"cs.IR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2020-04-17T16:25:36Z",
"title_canon_sha256": "22c94abbf5031f0d37a765eb7666320ef21cf7b200f314fefee96ecaeed7bbe0"
},
"schema_version": "1.0",
"source": {
"id": "2004.08333",
"kind": "arxiv",
"version": 2
}
}