Pith Number
pith:IJ4BEKYS
pith:2022:IJ4BEKYSWNQY4SFBX7RWQ6DKVA
not attested
not anchored
not stored
refs pending
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
arxiv:2202.04645 v2 · 2022-02-09 · eess.IV · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IJ4BEKYSWNQY4SFBX7RWQ6DKVA}
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 | 2026-07-05T04:00:22.709580Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4278122b12b3618e48a1bfe368786aa80b8d852469c85786632c6200bb52ba71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IJ4BEKYSWNQY4SFBX7RWQ6DKVA \
| 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: 4278122b12b3618e48a1bfe368786aa80b8d852469c85786632c6200bb52ba71
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "687e2a7d2f95a9a856b648d8dfc93533a3a34a435e7ebc8200384d99c479d925",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2022-02-09T06:41:44Z",
"title_canon_sha256": "2e5848785bb5da5b58e49616f9e0108948c800d2e76807f4e42c3b5dcfa94d1b"
},
"schema_version": "1.0",
"source": {
"id": "2202.04645",
"kind": "arxiv",
"version": 2
}
}