Pith Number
pith:4HYE3WKW
pith:2026:4HYE3WKWCCQODG3G5ZXR6VPAN3
not attested
not anchored
not stored
refs pending
Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization
arxiv:2606.26453 v1 · 2026-06-24 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4HYE3WKWCCQODG3G5ZXR6VPAN3}
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 | 2026-06-26T00:15:41.692680Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1f04dd95610a0e19b66ee6f1f55e06ed854679dc5391a2c875e0b8bf8395b93
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4HYE3WKWCCQODG3G5ZXR6VPAN3 \
| 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: e1f04dd95610a0e19b66ee6f1f55e06ed854679dc5391a2c875e0b8bf8395b93
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "49bf208159126277be40270161c128bd1c60d05bd5bcb3679704bf643ffd5e97",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-24T23:28:09Z",
"title_canon_sha256": "0ac31bab232803b8ce3a09230278c8961a639e7931a41b5542b8388bb2b4ae44"
},
"schema_version": "1.0",
"source": {
"id": "2606.26453",
"kind": "arxiv",
"version": 1
}
}