Pith Number
pith:YRMJLQJ7
pith:2019:YRMJLQJ7PPSO7PL5QD6RFVQNFG
not attested
not anchored
not stored
refs pending
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
arxiv:1910.13574 v1 · 2019-10-29 · eess.IV · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YRMJLQJ7PPSO7PL5QD6RFVQNFG}
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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 | 2026-07-05T00:15:53.871678Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c45895c13f7be4efbd7d80fd12d60d2983ee9ae61d7a4a4d9901e11886bb86ac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YRMJLQJ7PPSO7PL5QD6RFVQNFG \
| 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: c45895c13f7be4efbd7d80fd12d60d2983ee9ae61d7a4a4d9901e11886bb86ac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d0cf6b3529b2bf7cabab6e1f6d609c139a710b69c8aaaec1317b2a965de542e1",
"cross_cats_sorted": [
"cs.CV",
"cs.LG",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-10-29T23:33:23Z",
"title_canon_sha256": "9f9a1c1abe9e4e4797ccafa6bf0d14874a03ed2b9859906aa48c86426e0938a2"
},
"schema_version": "1.0",
"source": {
"id": "1910.13574",
"kind": "arxiv",
"version": 1
}
}