Pith Number
pith:SCS7FGJJ
pith:2019:SCS7FGJJSSZRP5TIFNBHUSE5TA
not attested
not anchored
not stored
refs pending
Parameterized Structured Pruning for Deep Neural Networks
arxiv:1906.05180 v1 · 2019-06-12 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SCS7FGJJSSZRP5TIFNBHUSE5TA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:43:29.272069Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
90a5f2992994b317f6682b427a489d982b830ce4d21d7ee31d6c9ef38c27dc5f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SCS7FGJJSSZRP5TIFNBHUSE5TA \
| 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: 90a5f2992994b317f6682b427a489d982b830ce4d21d7ee31d6c9ef38c27dc5f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10462f6b547d9ecd810591950f8b072c239b082e3c24a90ab4b89baf80de811c",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-12T14:46:01Z",
"title_canon_sha256": "888a2942399f962b7a41c09e8d2a155b349bad64a4a60a17c23617a4ca23c77e"
},
"schema_version": "1.0",
"source": {
"id": "1906.05180",
"kind": "arxiv",
"version": 1
}
}