Pith Number
pith:5LOJWJ6V
pith:2016:5LOJWJ6VECONPN54DDBLXW7SOP
not attested
not anchored
not stored
refs pending
Structured Convolution Matrices for Energy-efficient Deep learning
arxiv:1606.02407 v1 · 2016-06-08 · cs.NE · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5LOJWJ6VECONPN54DDBLXW7SOP}
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 | 2026-05-18T01:12:41.426482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eadc9b27d5209cd7b7bc18c2bbdbf273c9be4e30496dc4b7aa891fb79b557e19
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LOJWJ6VECONPN54DDBLXW7SOP \
| 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: eadc9b27d5209cd7b7bc18c2bbdbf273c9be4e30496dc4b7aa891fb79b557e19
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4224e1f145d91a3e46db4ee210b0aa25e48d55f534374b93242805cf1ab4d88",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-06-08T05:31:43Z",
"title_canon_sha256": "8d777cdbfc8a4af48e30c24a157bcc1ca28327fe4b618553c0f7a82613083c65"
},
"schema_version": "1.0",
"source": {
"id": "1606.02407",
"kind": "arxiv",
"version": 1
}
}