Pith Number
pith:GXIDFNQA
pith:2020:GXIDFNQAUJS7TC5HK7YP2IQRN7
not attested
not anchored
not stored
refs pending
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI
arxiv:2007.06063 v1 · 2020-07-12 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GXIDFNQAUJS7TC5HK7YP2IQRN7}
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 | 2026-07-05T01:18:09.578586Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
35d032b600a265f98ba757f0fd22116fc605655c65ae2fae29355899a3821847
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GXIDFNQAUJS7TC5HK7YP2IQRN7 \
| 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: 35d032b600a265f98ba757f0fd22116fc605655c65ae2fae29355899a3821847
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7b8970391617f6e719e93c89b09968211044635fed453f6a51f1ce82930e350f",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-07-12T18:33:09Z",
"title_canon_sha256": "678d2a78c6ca7f01d5c631505a67f1428b27251bf9edf7f333646aaf92b20d22"
},
"schema_version": "1.0",
"source": {
"id": "2007.06063",
"kind": "arxiv",
"version": 1
}
}