Pith Number
pith:RXUR6GVM
pith:2019:RXUR6GVM22QCMV6NMK3IW7O4PD
not attested
not anchored
not stored
refs pending
Learning to Adaptively Scale Recurrent Neural Networks
arxiv:1902.05696 v1 · 2019-02-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RXUR6GVM22QCMV6NMK3IW7O4PD}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:53:56.480066Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8de91f1aacd6a02657cd62b68b7ddc78e25e9b713edf759bbb1f2131407bb5b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RXUR6GVM22QCMV6NMK3IW7O4PD \
| 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: 8de91f1aacd6a02657cd62b68b7ddc78e25e9b713edf759bbb1f2131407bb5b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dcd3dff53afd0eb881aa73743014c87f489852e4e19c23a0aa9e370b04241ce2",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-02-15T06:01:24Z",
"title_canon_sha256": "938801fc41ab657aa24de37ca95673c0a42bac83fcadbf54ea2c84b8702dfbbf"
},
"schema_version": "1.0",
"source": {
"id": "1902.05696",
"kind": "arxiv",
"version": 1
}
}