Pith Number
pith:XERIYRSD
pith:2019:XERIYRSD4HGXFZLMDGOL3VMDDW
not attested
not anchored
not stored
refs pending
Limitations of Lazy Training of Two-layers Neural Networks
arxiv:1906.08899 v1 · 2019-06-21 · stat.ML · cs.LG · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XERIYRSD4HGXFZLMDGOL3VMDDW}
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 | 2026-05-17T23:42:47.484516Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9228c4643e1cd72e56c199cbdd5831dab337f4296f3293e5cc22b8ce835e57f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XERIYRSD4HGXFZLMDGOL3VMDDW \
| 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: b9228c4643e1cd72e56c199cbdd5831dab337f4296f3293e5cc22b8ce835e57f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "31778cf7f8c00f5293f0830e12d8b0aaff476108ab5615a55230c9550b2a88e6",
"cross_cats_sorted": [
"cs.LG",
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-06-21T00:29:54Z",
"title_canon_sha256": "3d2f8609b2bad0ecf331eb92e93bfcde3d92b845323f47a010bcb4f482f9480c"
},
"schema_version": "1.0",
"source": {
"id": "1906.08899",
"kind": "arxiv",
"version": 1
}
}