Pith Number
pith:W3CGHZ5N
pith:2024:W3CGHZ5NFJP2BYZQQ4VZP6W5T3
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Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
arxiv:2403.14917 v2 · 2024-03-22 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W3CGHZ5NFJP2BYZQQ4VZP6W5T3}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T08:05:12.340389Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b6c463e7ad2a5fa0e330872b97fadd9eea30b4e1e544f8cbc3dd19f479dc4187
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W3CGHZ5NFJP2BYZQQ4VZP6W5T3 \
| 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: b6c463e7ad2a5fa0e330872b97fadd9eea30b4e1e544f8cbc3dd19f479dc4187
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2971b1a471579e1c74ddb402da3b9b5072b7636a736a0bde44c67fa8a6df91ab",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-03-22T02:41:57Z",
"title_canon_sha256": "50a3d0a5d11638aa9844fb6e39072ceb4a9c7c6508ab834fa6e29308e31d9f02"
},
"schema_version": "1.0",
"source": {
"id": "2403.14917",
"kind": "arxiv",
"version": 2
}
}