Pith Number
pith:6W26OJRH
pith:2025:6W26OJRHLUCFE2AMTERPKULRVX
not attested
not anchored
not stored
refs pending
FGMP: Fine-Grained Mixed-Precision Weight and Activation Quantization for Hardware-Accelerated LLM Inference
arxiv:2504.14152 v1 · 2025-04-19 · cs.AR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6W26OJRHLUCFE2AMTERPKULRVX}
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 | 2026-07-05T10:51:11.837789Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f5b5e726275d0452680c9922f55171adc2483d2369ecdf8792d507765db223ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6W26OJRHLUCFE2AMTERPKULRVX \
| 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: f5b5e726275d0452680c9922f55171adc2483d2369ecdf8792d507765db223ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e8c593ef7a3f4a564283ec98ce6caea17a298d2921e7ace48a7fdd949e910b36",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AR",
"submitted_at": "2025-04-19T02:51:45Z",
"title_canon_sha256": "74e0fa9571517e3ecb1ffe76edb106829709e1a5575ccb065c14e5cc7e629950"
},
"schema_version": "1.0",
"source": {
"id": "2504.14152",
"kind": "arxiv",
"version": 1
}
}