Pith Number
pith:M7ZHQAT5
pith:2019:M7ZHQAT5QH7HBMO4TVBVAGFJWF
not attested
not anchored
not stored
refs pending
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications
arxiv:1902.03825 v4 · 2019-02-11 · cs.LG · cs.CY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M7ZHQAT5QH7HBMO4TVBVAGFJWF}
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 | 2026-05-17T23:52:50.894294Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67f278027d81fe70b1dc9d435018a9b14f8db511070512f2dea5adc029959665
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M7ZHQAT5QH7HBMO4TVBVAGFJWF \
| 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: 67f278027d81fe70b1dc9d435018a9b14f8db511070512f2dea5adc029959665
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "12b198baf5253b99db6f16396bfe8c07b70eb9af92eea955614b769abbcdcd0f",
"cross_cats_sorted": [
"cs.CY",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-11T11:31:38Z",
"title_canon_sha256": "bd1799779aab1b3e0075c05a4d528cc582fa9d878d6696742ebd5c405eb06c8e"
},
"schema_version": "1.0",
"source": {
"id": "1902.03825",
"kind": "arxiv",
"version": 4
}
}