Pith Number
pith:VR7Y2SFB
pith:2023:VR7Y2SFBYTT743ORRBBXVO4BVD
not attested
not anchored
not stored
refs pending
Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU
arxiv:2311.00368 v1 · 2023-11-01 · cs.LG · cs.MS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VR7Y2SFBYTT743ORRBBXVO4BVD}
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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claim
4
Citations
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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 | 2026-07-05T07:07:56.488957Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac7f8d48a1c4e7fe6dd188437abb81a8ddb8563d87c71a75f8281834294d3b82
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VR7Y2SFBYTT743ORRBBXVO4BVD \
| 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: ac7f8d48a1c4e7fe6dd188437abb81a8ddb8563d87c71a75f8281834294d3b82
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bbd9d2e3f5548bac703264441fe8ca6a835b1764937b7839de254e53c9353a9f",
"cross_cats_sorted": [
"cs.MS"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-01T08:43:59Z",
"title_canon_sha256": "54bb6e83bf49698f1f0f089f8299dc1fe73ab158f82d1a2e36f4956946fa1045"
},
"schema_version": "1.0",
"source": {
"id": "2311.00368",
"kind": "arxiv",
"version": 1
}
}