Pith Number
pith:Q6GBTZX3
pith:2024:Q6GBTZX3I7JU4EZ37UNXGGFPC7
not attested
not anchored
not stored
refs pending
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization
arxiv:2411.05282 v4 · 2024-11-08 · cs.AR · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q6GBTZX3I7JU4EZ37UNXGGFPC7}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:55:53.941654Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
878c19e6fb47d34e133bfd1b7318af17f87bb3bf208b60910af7c18b4c07046c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q6GBTZX3I7JU4EZ37UNXGGFPC7 \
| 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: 878c19e6fb47d34e133bfd1b7318af17f87bb3bf208b60910af7c18b4c07046c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5c044efb9fcc633b8a780c135d46fe628d6c911652eb620677165ff0d37ccf2b",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AR",
"submitted_at": "2024-11-08T02:25:45Z",
"title_canon_sha256": "b13af6f17c535d43fa4b856f265b626145f8ff6bdb77ade208466bd4d6efbede"
},
"schema_version": "1.0",
"source": {
"id": "2411.05282",
"kind": "arxiv",
"version": 4
}
}