Pith Number
pith:VL4S7YSV
pith:2024:VL4S7YSVX2MVVWQP6FQ7LDMQ2V
not attested
not anchored
not stored
refs pending
AMXFP4: Taming Activation Outliers with Asymmetric Microscaling Floating-Point for 4-bit LLM Inference
arxiv:2411.09909 v2 · 2024-11-15 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VL4S7YSVX2MVVWQP6FQ7LDMQ2V}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T11:12:22.224600Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VL4S7YSVX2MVVWQP6FQ7LDMQ2V \
| 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: aaf92fe255be995ada0ff161f58d90d57fee5eb05ae6a286d1d171f4c0ec7a65
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b7c1956e5e98f0a3630da779bddd8dd8effee7b0ca4be268f72a135ea960bc1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-11-15T03:11:19Z",
"title_canon_sha256": "57eda75bbc34ef248fb665d2abec416dbe1e6263a8bff60f5eab82dc79fc4e06"
},
"schema_version": "1.0",
"source": {
"id": "2411.09909",
"kind": "arxiv",
"version": 2
}
}