Pith Number
pith:XX6SHNQQ
pith:2018:XX6SHNQQ3DME6BSSZVGAHD2Q2P
not attested
not anchored
not stored
refs pending
Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method
arxiv:1811.07555 v2 · 2018-11-19 · cs.LG · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XX6SHNQQ3DME6BSSZVGAHD2Q2P}
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
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claim
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 | 2026-05-17T23:45:52.547177Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bdfd23b610d8d84f0652cd4c038f50d3f10ee26156b798fe0546b2f94f6bcbd5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XX6SHNQQ3DME6BSSZVGAHD2Q2P \
| 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: bdfd23b610d8d84f0652cd4c038f50d3f10ee26156b798fe0546b2f94f6bcbd5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "008e573d48e010aa8c9214ffcd23b8e9ac71bfd66254463a26bce103bba42bc7",
"cross_cats_sorted": [
"cs.CV",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-11-19T08:40:00Z",
"title_canon_sha256": "e0c0126e0838d80e148ffe046e982d2b338ccd9329439c8d18ed3cd5f470b67b"
},
"schema_version": "1.0",
"source": {
"id": "1811.07555",
"kind": "arxiv",
"version": 2
}
}