Pith Number
pith:GCPROQ5T
pith:2018:GCPROQ5TZHAPVYRJY3NTA3HHTF
not attested
not anchored
not stored
refs pending
On the Convergence Rate of Training Recurrent Neural Networks
arxiv:1810.12065 v4 · 2018-10-29 · cs.LG · cs.DS · cs.NE · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GCPROQ5TZHAPVYRJY3NTA3HHTF}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-17T23:45:04.331165Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
309f1743b3c9c0fae229c6db306ce79943fb2af9c332782c40df3a586eb58f1c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GCPROQ5TZHAPVYRJY3NTA3HHTF \
| 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: 309f1743b3c9c0fae229c6db306ce79943fb2af9c332782c40df3a586eb58f1c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c955e7c86c68e05bacd8ac9851858d4ebf62ce7d237c2a26d838aad977dfcfa4",
"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": "2018-10-29T11:45:02Z",
"title_canon_sha256": "8acdab021c5d00eba6619711a5ce7a4cecfdcf7877cef0671edd2ada0210c7c6"
},
"schema_version": "1.0",
"source": {
"id": "1810.12065",
"kind": "arxiv",
"version": 4
}
}