Pith Number
pith:QUAQA3E5
pith:2017:QUAQA3E5FSCZLB7W3LTMB67LTS
not attested
not anchored
not stored
refs pending
Rough extreme learning machine: a new classification method based on uncertainty measure
arxiv:1710.10824 v2 · 2017-10-30 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QUAQA3E5FSCZLB7W3LTMB67LTS}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-18T00:21:34.573648Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8501006c9d2c859587f6dae6c0fbeb9cbbeca013d886c53f91150d66156c9e2f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QUAQA3E5FSCZLB7W3LTMB67LTS \
| 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: 8501006c9d2c859587f6dae6c0fbeb9cbbeca013d886c53f91150d66156c9e2f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "524b091d8eb750eb74283721e32ab2bec4b0f859b1d5833f38a7b80cf80ba009",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-10-30T09:37:20Z",
"title_canon_sha256": "cea0db3abed2e0b6147bbd7890de060e5ec8f90247f6cc027f47bb521fa3ae9d"
},
"schema_version": "1.0",
"source": {
"id": "1710.10824",
"kind": "arxiv",
"version": 2
}
}