Pith Number
pith:A3ACLLUZ
pith:2019:A3ACLLUZLY4FSXYDOZV3KRPVMH
not attested
not anchored
not stored
refs pending
Random Error Sampling-based Recurrent Neural Network Architecture Optimization
arxiv:1909.02425 v3 · 2019-09-04 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A3ACLLUZLY4FSXYDOZV3KRPVMH}
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 | 2026-07-05T02:22:54.943278Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
06c025ae995e38595f03766bb545f561ea0d7de811c8e36976b514b9b968cf6e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A3ACLLUZLY4FSXYDOZV3KRPVMH \
| 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: 06c025ae995e38595f03766bb545f561ea0d7de811c8e36976b514b9b968cf6e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed7fcc95bff9294db8dfb69a6dcc376d67532a12ea7168c655c29e2f32a97b97",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2019-09-04T10:38:41Z",
"title_canon_sha256": "369edec3cf3bc68af4e2ba0955c2731c7d7f67204be32ad64fa22c153254ffb4"
},
"schema_version": "1.0",
"source": {
"id": "1909.02425",
"kind": "arxiv",
"version": 3
}
}