Pith Number
pith:EPJ4X3IR
pith:2025:EPJ4X3IRH3JLZCBJHPXEQMQYKE
not attested
not anchored
not stored
refs pending
APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration
arxiv:2508.19087 v1 · 2025-08-26 · cs.LG · cs.AI · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EPJ4X3IRH3JLZCBJHPXEQMQYKE}
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 | 2026-07-05T12:02:07.116270Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23d3cbed113ed2bc88293bee4832185116b7b984c7f5ad1a7fe49759a7ab8b07
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EPJ4X3IRH3JLZCBJHPXEQMQYKE \
| 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: 23d3cbed113ed2bc88293bee4832185116b7b984c7f5ad1a7fe49759a7ab8b07
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13e3d27d05e6f67f7752b6fd9bbde983aa52ce405b101e53de7c4fe792cc3793",
"cross_cats_sorted": [
"cs.AI",
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-26T14:48:29Z",
"title_canon_sha256": "be919e2d034ca88ec0b0c3932ab03098c33e9d22e1dd28ebee532d66251c3ad4"
},
"schema_version": "1.0",
"source": {
"id": "2508.19087",
"kind": "arxiv",
"version": 1
}
}