Pith Number
pith:UXU44X5D
pith:2017:UXU44X5D7FNE5QWLZNMQL5OT22
not attested
not anchored
not stored
refs pending
An effective algorithm for hyperparameter optimization of neural networks
arxiv:1705.08520 v1 · 2017-05-23 · cs.AI · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UXU44X5D7FNE5QWLZNMQL5OT22}
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 | 2026-05-18T00:43:45.871185Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5e9ce5fa3f95a4ec2cbcb5905f5d3d6941da8f54480e52df3b77bbc86d9c8b7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UXU44X5D7FNE5QWLZNMQL5OT22 \
| 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: a5e9ce5fa3f95a4ec2cbcb5905f5d3d6941da8f54480e52df3b77bbc86d9c8b7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "696a18f88d37470f6cda991fc78ac975747280b17c4a96b9aa982ab18946a7d8",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-05-23T20:17:44Z",
"title_canon_sha256": "955005997ba25cffc6631cf17051642f668cd570a1079fe2eac926bdabb66e46"
},
"schema_version": "1.0",
"source": {
"id": "1705.08520",
"kind": "arxiv",
"version": 1
}
}