Pith Number
pith:YFGRGOWO
pith:2017:YFGRGOWOIOWR7A43JWNMTND7YL
not attested
not anchored
not stored
refs pending
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
arxiv:1703.00102 v2 · 2017-03-01 · stat.ML · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YFGRGOWOIOWR7A43JWNMTND7YL}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:35:51.488019Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c14d133ace43ad1f839b4d9ac9b47fc2db9bc12075e704e3914cef9eb9f752a0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YFGRGOWOIOWR7A43JWNMTND7YL \
| 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: c14d133ace43ad1f839b4d9ac9b47fc2db9bc12075e704e3914cef9eb9f752a0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d7c2189669394bdd31df7be902f0c2df2c718149c392bf7b1249da491ca862f",
"cross_cats_sorted": [
"cs.LG",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-03-01T02:08:32Z",
"title_canon_sha256": "f5cb6dda6bfe7a20657f9f367e335f20c33a5949dc0ac910ebb3b75a81feead3"
},
"schema_version": "1.0",
"source": {
"id": "1703.00102",
"kind": "arxiv",
"version": 2
}
}