Pith Number
pith:DNB7FTOB
pith:2023:DNB7FTOBCJ5D6THP44WWF2TNV4
not attested
not anchored
not stored
refs pending
Transforming ECG Diagnosis:An In-depth Review of Transformer-based DeepLearning Models in Cardiovascular Disease Detection
arxiv:2306.01249 v1 · 2023-06-02 · cs.LG · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DNB7FTOBCJ5D6THP44WWF2TNV4}
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 | 2026-07-05T06:16:39.921202Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b43f2cdc1127a3f4cefe72d62ea6daf2b7643954b0ba013bbb8e7c8eb77bfda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DNB7FTOBCJ5D6THP44WWF2TNV4 \
| 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: 1b43f2cdc1127a3f4cefe72d62ea6daf2b7643954b0ba013bbb8e7c8eb77bfda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c22d60008074e6ea6177c9860a90dc321c0b9155af516fcad48cf12c85ce341a",
"cross_cats_sorted": [
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-02T03:23:16Z",
"title_canon_sha256": "698975b8c340baf4074ca225009629b0ec74d379b33998b3154ffd88c8855ccc"
},
"schema_version": "1.0",
"source": {
"id": "2306.01249",
"kind": "arxiv",
"version": 1
}
}