Pith Number
pith:4TQUCALW
pith:2022:4TQUCALWGL4OILOR3XI3VVWUGL
not attested
not anchored
not stored
refs pending
Leveraging Structured Pruning of Convolutional Neural Networks
arxiv:2206.06247 v1 · 2022-06-13 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4TQUCALWGL4OILOR3XI3VVWUGL}
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 | 2026-07-05T05:24:12.522497Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e4e141017632f8e42dd1ddd1bad6d432c49cd01dd7e68f582b8597c1541c88ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4TQUCALWGL4OILOR3XI3VVWUGL \
| 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: e4e141017632f8e42dd1ddd1bad6d432c49cd01dd7e68f582b8597c1541c88ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f5c5bce8e962b3346caac0135460a1822418466533132597d76a5e077951178",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.NE",
"submitted_at": "2022-06-13T15:29:12Z",
"title_canon_sha256": "5c827eb3425263b9beb274dc46678b52e7368b92890a04c7809df6c7c3445f04"
},
"schema_version": "1.0",
"source": {
"id": "2206.06247",
"kind": "arxiv",
"version": 1
}
}