Pith Number
pith:WSOLXENY
pith:2025:WSOLXENYOG24XWYFBLA4HFBZWN
not attested
not anchored
not stored
refs pending
FlashMLA-ETAP: Efficient Transpose Attention Pipeline for Accelerating MLA Inference on NVIDIA H20 GPUs
arxiv:2506.01969 v3 · 2025-05-13 · cs.DC · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WSOLXENYOG24XWYFBLA4HFBZWN}
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 | 2026-06-03T01:05:04.613339Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b49cbb91b871b5cbdb050ac1c39439b34a289074df3ed97592d57fa090aa3d96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WSOLXENYOG24XWYFBLA4HFBZWN \
| 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: b49cbb91b871b5cbdb050ac1c39439b34a289074df3ed97592d57fa090aa3d96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8439c402e56e198cd74ad0ba0b8c3e49c7953221b8dec8743a6d70d8e861bbd2",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2025-05-13T17:45:34Z",
"title_canon_sha256": "457a274a9b65d64181c65c3589b29991826b9b6d5e87b3ac1b019fe036491cb1"
},
"schema_version": "1.0",
"source": {
"id": "2506.01969",
"kind": "arxiv",
"version": 3
}
}