Pith Number
pith:PLCUBSKR
pith:2023:PLCUBSKRIAOPVXGJVPB6GDT7VN
not attested
not anchored
not stored
refs pending
Can pruning make Large Language Models more efficient?
arxiv:2310.04573 v1 · 2023-10-06 · cs.LG · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PLCUBSKRIAOPVXGJVPB6GDT7VN}
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 | 2026-07-05T06:58:20.133364Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7ac540c951401cfadcc9abc3e30e7fab7570961cc4af8816faca1c9ca12e5933
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PLCUBSKRIAOPVXGJVPB6GDT7VN \
| 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: 7ac540c951401cfadcc9abc3e30e7fab7570961cc4af8816faca1c9ca12e5933
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7013828bfe2d1d63e6e2320a00617b5df5ca3f02da5856c64c0d5fbe7599ece",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-10-06T20:28:32Z",
"title_canon_sha256": "37b457ad711d249a408594c0c397b7989e72ceacfb31d1b90a587ef1ceb8767b"
},
"schema_version": "1.0",
"source": {
"id": "2310.04573",
"kind": "arxiv",
"version": 1
}
}