Pith Number
pith:P43DTZ7F
pith:2019:P43DTZ7FTMMPWZTWPLAX4ZLDB4
not attested
not anchored
not stored
refs pending
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction
arxiv:1909.09557 v1 · 2019-09-20 · q-bio.QM · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{P43DTZ7FTMMPWZTWPLAX4ZLDB4}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:07:17.781413Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7f3639e7e59b18fb66767ac17e65630f0946624e396e8a44880b8f9909d47dcc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P43DTZ7FTMMPWZTWPLAX4ZLDB4 \
| 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: 7f3639e7e59b18fb66767ac17e65630f0946624e396e8a44880b8f9909d47dcc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7db094bbcfa193d153445423df8e0489d538facdfeeeabaad553624dd2982b7e",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2019-09-20T15:20:09Z",
"title_canon_sha256": "a4f7cd5a35b7addd81c3ed432f91acc6c5e285fc69ed5504d795aade83a8cc23"
},
"schema_version": "1.0",
"source": {
"id": "1909.09557",
"kind": "arxiv",
"version": 1
}
}