Pith Number
pith:5RX76CQT
pith:2016:5RX76CQTYO454GCTPX2PY3JCGQ
not attested
not anchored
not stored
refs pending
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs
arxiv:1606.05688 v1 · 2016-06-17 · cs.DC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5RX76CQTYO454GCTPX2PY3JCGQ}
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 | 2026-05-18T01:12:16.288313Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec6fff0a13c3b9de18537df4fc6d223419d7563206cb7fae01c1f2ced29a57a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5RX76CQTYO454GCTPX2PY3JCGQ \
| 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: ec6fff0a13c3b9de18537df4fc6d223419d7563206cb7fae01c1f2ced29a57a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b05951fbd5c9ec65c9a9e544056a2d71830a0481e8f730647137c3f4eaf6de3c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2016-06-17T22:16:39Z",
"title_canon_sha256": "6034dbc4f6580a8a4838198ddd6ed586b8f8dc7e998e4b70bb47b2b55c2175e7"
},
"schema_version": "1.0",
"source": {
"id": "1606.05688",
"kind": "arxiv",
"version": 1
}
}