Pith Number
pith:EBJMC4TC
pith:2014:EBJMC4TCQX7BDIYLLJVQ73LDYI
not attested
not anchored
not stored
refs pending
A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data
arxiv:1404.2124 v1 · 2014-04-08 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EBJMC4TCQX7BDIYLLJVQ73LDYI}
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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.
Receipt and verification
| First computed | 2026-05-18T02:54:38.488834Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2052c1726285fe11a30b5a6b0fed63c2310d7f0529aa538d783c78fd55c17d62
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EBJMC4TCQX7BDIYLLJVQ73LDYI \
| 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: 2052c1726285fe11a30b5a6b0fed63c2310d7f0529aa538d783c78fd55c17d62
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2e6fced422785a97872f07678b56802148eada537ff296d414ee7394832f15cf",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2014-04-08T13:34:29Z",
"title_canon_sha256": "ac84fd4c0d754e3bef1d21b056c6a2c632bb3c5792e544884f507845906d85de"
},
"schema_version": "1.0",
"source": {
"id": "1404.2124",
"kind": "arxiv",
"version": 1
}
}