Pith Number
pith:4YKODAOJ
pith:2020:4YKODAOJD4S5HGIVVTDZ5SYXSQ
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Statistical theory for image classification using deep convolutional neural networks with cross-entropy loss under the hierarchical max-pooling model
arxiv:2011.13602 v2 · 2020-11-27 · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4YKODAOJD4S5HGIVVTDZ5SYXSQ}
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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.
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Receipt and verification
| First computed | 2026-07-05T08:13:06.203778Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e614e181c91f25d39915acc79ecb179421655248c36d5eb0028fb8800b3016b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4YKODAOJD4S5HGIVVTDZ5SYXSQ \
| 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: e614e181c91f25d39915acc79ecb179421655248c36d5eb0028fb8800b3016b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a49e5933b21dd6d46ceae084e67f8765fda8176eb8d27b138ab4d9ea2fa2aa4e",
"cross_cats_sorted": [
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.ST",
"submitted_at": "2020-11-27T08:33:51Z",
"title_canon_sha256": "607426d7db431431a9a9c494d6d68a008c8337b3c16fd47e97c0316d62a69c7b"
},
"schema_version": "1.0",
"source": {
"id": "2011.13602",
"kind": "arxiv",
"version": 2
}
}