Pith Number
pith:24FV5ALA
pith:2019:24FV5ALAQXOMAXLKIBDIJNNE73
not attested
not anchored
not stored
refs pending
Detection and Prediction of Cardiac Anomalies Using Wireless Body Sensors and Bayesian Belief Networks
arxiv:1904.07976 v1 · 2019-04-16 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{24FV5ALAQXOMAXLKIBDIJNNE73}
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 | 2026-05-17T23:48:19.199568Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d70b5e816085dcc05d6a404684b5a4fedc200d15ab24693862d4052ef3110ce3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/24FV5ALAQXOMAXLKIBDIJNNE73 \
| 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: d70b5e816085dcc05d6a404684b5a4fedc200d15ab24693862d4052ef3110ce3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fe550eda5e5bc9ec2297e4f82dc5555520991c4679adfe86663625b923b85b6",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-04-16T20:44:43Z",
"title_canon_sha256": "097bb89dce74368d65fe67df5dce207c3e02008694680b2125fe8364745610d7"
},
"schema_version": "1.0",
"source": {
"id": "1904.07976",
"kind": "arxiv",
"version": 1
}
}