Pith. sign in
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

Danny Z. Chen, Jian Wu, Jintai Chen, Xiaojun Chen, Xiaoxian Yang, Yuexin Bian

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 open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2206.10592 · arxiv_version: 2206.10592v1 · doi: 10.48550/arxiv.2206.10592 · pith_short_12: MJU56F4MRXTT · pith_short_16: MJU56F4MRXTTWAWZ · pith_short_8: MJU56F4M
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
  }
}