Pith Number
pith:MJU56F4M
pith:2022:MJU56F4MRXTTWAWZSYVJTC2JDX
not attested
not anchored
not stored
refs pending
Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
arxiv:2206.10592 v1 · 2022-06-16 · cs.AI · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MJU56F4MRXTTWAWZSYVJTC2JDX}
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 | 2026-07-05T04:33:53.691477Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6269df178c8de73b02d9962a998b491de05b6cb9d079b1691b196f788e76eec5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MJU56F4MRXTTWAWZSYVJTC2JDX \
| 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: 6269df178c8de73b02d9962a998b491de05b6cb9d079b1691b196f788e76eec5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "16b624132d75988209f8bb95ee161d26fdf5b6a083565697525f5822bde316dd",
"cross_cats_sorted": [
"cs.LG",
"eess.SP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2022-06-16T04:42:57Z",
"title_canon_sha256": "3baa0004c0f9d6635510ef87549424c16aaea9000eb8fa83d19a75d6e758fa6a"
},
"schema_version": "1.0",
"source": {
"id": "2206.10592",
"kind": "arxiv",
"version": 1
}
}