Pith Number
pith:YNADOCJE
pith:2016:YNADOCJECJRJNUUMPKJGLXH6IK
not attested
not anchored
not stored
refs pending
The observer-assisted method for adjusting hyper-parameters in deep learning algorithms
arxiv:1611.10328 v1 · 2016-11-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YNADOCJECJRJNUUMPKJGLXH6IK}
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 | 2026-05-18T00:56:10.737192Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c340370924126296d28c7a9265dcfe42a35afee515494bd637640264c59175e2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YNADOCJECJRJNUUMPKJGLXH6IK \
| 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: c340370924126296d28c7a9265dcfe42a35afee515494bd637640264c59175e2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3c5b6712ce963ffbdd0121753b89c45d8e272522255aa96934ce839970095a1",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-11-30T19:37:48Z",
"title_canon_sha256": "1f1d882b92dcbe2dff2ca491596977de74fc2ac23152345449716f9b8c648b4c"
},
"schema_version": "1.0",
"source": {
"id": "1611.10328",
"kind": "arxiv",
"version": 1
}
}