Pith Number
pith:7UG7BNCL
pith:2019:7UG7BNCLLI73AZQBIKNRR4JBZC
not attested
not anchored
not stored
refs pending
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters
arxiv:1908.05542 v1 · 2019-08-15 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7UG7BNCLLI73AZQBIKNRR4JBZC}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-07-04T23:56:53.696803Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fd0df0b44b5a3fb06601429b18f121c8bff773404735ada4d823f9b1c431de88
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7UG7BNCLLI73AZQBIKNRR4JBZC \
| 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: fd0df0b44b5a3fb06601429b18f121c8bff773404735ada4d823f9b1c431de88
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ed96f3882d1afbaa971f7e9f5402f34b74f73d4eb9bc0f103b6de91fc691852",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-08-15T13:52:22Z",
"title_canon_sha256": "35fd14ef59ae88176ee77af93113191fef6e5a0ae52d134a45f44711bf38aa60"
},
"schema_version": "1.0",
"source": {
"id": "1908.05542",
"kind": "arxiv",
"version": 1
}
}