Pith Number
pith:3FX6WNJ5
pith:2026:3FX6WNJ5QH2QJKBFCW3TJPAV3Q
not attested
not anchored
not stored
refs pending
PALS: Percentile-Aware Layerwise Sparsity for LLM Pruning
arxiv:2607.07557 v1 · 2026-07-08 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3FX6WNJ5QH2QJKBFCW3TJPAV3Q}
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 | 2026-07-09T01:20:29.424464Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d96feb353d81f504a82515b734bc15dc026bb16d7d21a4ac100df80e1dcb99f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3FX6WNJ5QH2QJKBFCW3TJPAV3Q \
| 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: d96feb353d81f504a82515b734bc15dc026bb16d7d21a4ac100df80e1dcb99f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fd8e1a4903d21dfb4c3453ce81373d18153a238f6e90c14ac045721ecb0d4a7",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-07-08T15:51:57Z",
"title_canon_sha256": "cfeafb107123f57388f0379df80d371dc93d10f2856940721c79d4dfa23436a0"
},
"schema_version": "1.0",
"source": {
"id": "2607.07557",
"kind": "arxiv",
"version": 1
}
}