Pith Number
pith:OBMJYVVX
pith:2016:OBMJYVVX3Q67I2JJMTD64FKTYB
not attested
not anchored
not stored
refs pending
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
arxiv:1605.09593 v2 · 2016-05-31 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OBMJYVVX3Q67I2JJMTD64FKTYB}
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
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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 | 2026-05-18T00:34:10.418775Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
70589c56b7dc3df4692964c7ee1553c0414d59bc9975053a282252c2560528c2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OBMJYVVX3Q67I2JJMTD64FKTYB \
| 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: 70589c56b7dc3df4692964c7ee1553c0414d59bc9975053a282252c2560528c2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af987786de35740f684e5361d9a6364a55df0a160a518c00eb0cd80ac8174555",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-05-31T12:11:51Z",
"title_canon_sha256": "ff50778514bf5b25909d479b127260b39ff7b3a3c2c6f69c21823bebe7b201c2"
},
"schema_version": "1.0",
"source": {
"id": "1605.09593",
"kind": "arxiv",
"version": 2
}
}