Pith Number
pith:QE6KB2UV
pith:2019:QE6KB2UV4K4WSAYTWT5JUNJQGV
not attested
not anchored
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refs pending
Can SGD Learn Recurrent Neural Networks with Provable Generalization?
arxiv:1902.01028 v2 · 2019-02-04 · cs.LG · cs.DS · cs.NE · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QE6KB2UV4K4WSAYTWT5JUNJQGV}
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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 | 2026-05-17T23:44:57.501643Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
813ca0ea95e2b9690313b4fa9a3530357ef48c053c159ee09dbc5a7e492fa2a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QE6KB2UV4K4WSAYTWT5JUNJQGV \
| 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: 813ca0ea95e2b9690313b4fa9a3530357ef48c053c159ee09dbc5a7e492fa2a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ba6ed4e507c8821582827ef00c0e8822cb50f471e6f00f3b4aa9f69bc8c52255",
"cross_cats_sorted": [
"cs.DS",
"cs.NE",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-04T04:21:00Z",
"title_canon_sha256": "0b2ef196ba6f87022a6a05c20a10a4a9b6a105f2c385532e6505213fd5d0340e"
},
"schema_version": "1.0",
"source": {
"id": "1902.01028",
"kind": "arxiv",
"version": 2
}
}