Pith Number
pith:BFPNS3VM
pith:2025:BFPNS3VMSI47SAPJICL335E4BW
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Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach
arxiv:2506.14846 v1 · 2025-06-16 · cs.CV · cs.AI · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BFPNS3VMSI47SAPJICL335E4BW}
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Record completeness
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4
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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.
Receipt and verification
| First computed | 2026-07-05T11:23:32.748669Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
095ed96eac9239f901e94097bdf49c0daee3d8ec63a62e5924bbb48a69a157c6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BFPNS3VMSI47SAPJICL335E4BW \
| 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: 095ed96eac9239f901e94097bdf49c0daee3d8ec63a62e5924bbb48a69a157c6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2ce8ab57baf0e7fd2455dac488cc084953f40a979cfc728204a627c59383d2da",
"cross_cats_sorted": [
"cs.AI",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-16T15:15:30Z",
"title_canon_sha256": "571897a349c376a2f8bae577734428fef1a9caef5f60f5ed0709de981b3b185e"
},
"schema_version": "1.0",
"source": {
"id": "2506.14846",
"kind": "arxiv",
"version": 1
}
}