Pith Number
pith:PYOQWCCD
pith:2017:PYOQWCCD5DJJDGXHDTEKNIEPCE
not attested
not anchored
not stored
refs pending
Structured Probabilistic Pruning for Convolutional Neural Network Acceleration
arxiv:1709.06994 v3 · 2017-09-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PYOQWCCD5DJJDGXHDTEKNIEPCE}
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 | 2026-05-18T00:05:56.606996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e1d0b0843e8d2919ae71cc8a6a08f1101d66cd5ebf57c47b41c2446d93e42c6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PYOQWCCD5DJJDGXHDTEKNIEPCE \
| 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: 7e1d0b0843e8d2919ae71cc8a6a08f1101d66cd5ebf57c47b41c2446d93e42c6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a2bdf0d15ac8ddd957886d6cb6a67609874f2f6484d7af4cf2a32bc1a505025",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-09-20T03:13:40Z",
"title_canon_sha256": "687e5be478742bb5ed0c632bbd04e331edc23ac4c1a9bff1f2944859287c5ae6"
},
"schema_version": "1.0",
"source": {
"id": "1709.06994",
"kind": "arxiv",
"version": 3
}
}