Pith Number
pith:G5YKEWUE
pith:2024:G5YKEWUEF5SEVUMEVAJR4TVIHU
not attested
not anchored
not stored
refs pending
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
arxiv:2409.17481 v2 · 2024-09-26 · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G5YKEWUEF5SEVUMEVAJR4TVIHU}
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 | 2026-07-05T09:45:55.278361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3770a25a842f644ad184a8131e4ea83d249a57ec9cb214e956b39232dbd8df1e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G5YKEWUEF5SEVUMEVAJR4TVIHU \
| 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: 3770a25a842f644ad184a8131e4ea83d249a57ec9cb214e956b39232dbd8df1e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d6db4a1386bff9e2b514743a5297628ca56c278a0b7471e8b8e1f31c0160913",
"cross_cats_sorted": [
"cs.CL",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2024-09-26T02:37:41Z",
"title_canon_sha256": "5cb0e558a0200435ecb0622bed62f5d7fdbaf92e567e89a2fad1f83357ba4211"
},
"schema_version": "1.0",
"source": {
"id": "2409.17481",
"kind": "arxiv",
"version": 2
}
}