Pith Number
pith:52LUWP2M
pith:2025:52LUWP2MQUCON7PIGX3C4RMQJI
not attested
not anchored
not stored
refs pending
Performance Analysis of Convolutional Neural Network By Applying Unconstrained Binary Quadratic Programming
arxiv:2506.00247 v1 · 2025-05-30 · cs.LG · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{52LUWP2MQUCON7PIGX3C4RMQJI}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
5
Replications
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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 | 2026-07-05T11:13:31.485067Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee974b3f4c8504e6fde835f62e45904a30614dbf7b84c19771db98ee27bc7a77
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/52LUWP2MQUCON7PIGX3C4RMQJI \
| 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: ee974b3f4c8504e6fde835f62e45904a30614dbf7b84c19771db98ee27bc7a77
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d7461b66ed91a2408e175c2129fd02a5e9d2b59621ef6cac3055693babee81bf",
"cross_cats_sorted": [
"cs.ET"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-30T21:25:31Z",
"title_canon_sha256": "7c7130e863b1d138cc9c53d3be5a1a76e8d563adc0a591e1d30e0cddd22666b6"
},
"schema_version": "1.0",
"source": {
"id": "2506.00247",
"kind": "arxiv",
"version": 1
}
}