Pith Number
pith:BLHNG7SN
pith:2024:BLHNG7SNPYUHZA6DLFAYSSKMLK
not attested
not anchored
not stored
refs pending
Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores
arxiv:2409.17870 v2 · 2024-09-26 · cs.LG · cs.AI · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BLHNG7SNPYUHZA6DLFAYSSKMLK}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:30:23.516724Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0aced37e4d7e287c83c3594189494c5a884d3f5626452e77c85e2312000f7792
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BLHNG7SNPYUHZA6DLFAYSSKMLK \
| 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: 0aced37e4d7e287c83c3594189494c5a884d3f5626452e77c85e2312000f7792
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a0a54ee058cf74beedfc6829a7309048fe6c09315d9c1b0f773bd01287c7f05",
"cross_cats_sorted": [
"cs.AI",
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-26T14:17:58Z",
"title_canon_sha256": "790c599e253aebd28d3257d1afc486b7b922af7b24af61e7980ead275f979bef"
},
"schema_version": "1.0",
"source": {
"id": "2409.17870",
"kind": "arxiv",
"version": 2
}
}