Pith Number
pith:A2LTIMU5
pith:2013:A2LTIMU54VFK5S5NUGUPF3XVHJ
not attested
not anchored
not stored
refs pending
Riemannian metrics for neural networks II: recurrent networks and learning symbolic data sequences
arxiv:1306.0514 v4 · 2013-06-03 · cs.NE · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A2LTIMU54VFK5S5NUGUPF3XVHJ}
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 | 2026-05-18T02:28:05.565416Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
069734329de54aaecbada1a8f2eef53a5f8098e2a6b9c45594970aacb404d8eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A2LTIMU54VFK5S5NUGUPF3XVHJ \
| 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: 069734329de54aaecbada1a8f2eef53a5f8098e2a6b9c45594970aacb404d8eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd8f59ae0e7498cf4ce1526a72c7e11b8f3e9bf18371a1053f31142be2682194",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2013-06-03T17:36:14Z",
"title_canon_sha256": "57a241a36a1a42c3ad4befea975722223ae00342022a991a6f5fecff257c19b3"
},
"schema_version": "1.0",
"source": {
"id": "1306.0514",
"kind": "arxiv",
"version": 4
}
}