Pith Number
pith:6NXIDW4B
pith:2021:6NXIDW4BEW2K6YQQXCJFSNKZ2H
not attested
not anchored
not stored
refs pending
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
arxiv:2112.07198 v1 · 2021-12-14 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6NXIDW4BEW2K6YQQXCJFSNKZ2H}
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 | 2026-07-05T03:40:55.714609Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f36e81db8125b4af6210b892593559d1c5323fc87f6fbea6177e0cfb36845844
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6NXIDW4BEW2K6YQQXCJFSNKZ2H \
| 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: f36e81db8125b4af6210b892593559d1c5323fc87f6fbea6177e0cfb36845844
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88dde7cea443ab00e309dd4298a762e2d258940b8766daa2503cb24c019f3557",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-12-14T07:14:09Z",
"title_canon_sha256": "91c9237163c7a17a7aa01acba11327a57fa3898682df1eee1ade3e0e7911e2fd"
},
"schema_version": "1.0",
"source": {
"id": "2112.07198",
"kind": "arxiv",
"version": 1
}
}