Pith Number
pith:OP3LMYE4
pith:2016:OP3LMYE4FSKPWE2HJEC6X44KTD
not attested
not anchored
not stored
refs pending
Training Input-Output Recurrent Neural Networks through Spectral Methods
arxiv:1603.00954 v5 · 2016-03-03 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OP3LMYE4FSKPWE2HJEC6X44KTD}
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 | 2026-05-18T01:00:53.260506Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73f6b6609c2c94fb13474905ebf38a98c5c33a518344893f151c3b09a4189667
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OP3LMYE4FSKPWE2HJEC6X44KTD \
| 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: 73f6b6609c2c94fb13474905ebf38a98c5c33a518344893f151c3b09a4189667
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "80ed350c096d22cae30999c72796e9a58695e10f7dd5f9bd5d5bd73c97deca51",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-03-03T03:14:47Z",
"title_canon_sha256": "3efb8e68a05896c881edc548d1b497ba8ba72270086dd635f7b731e4968d8e87"
},
"schema_version": "1.0",
"source": {
"id": "1603.00954",
"kind": "arxiv",
"version": 5
}
}