Pith Number
pith:OIAZHYZM
pith:2018:OIAZHYZMDO65IVDCAR7W4AF3GI
not attested
not anchored
not stored
refs pending
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
arxiv:1803.09082 v1 · 2018-03-24 · stat.ML · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OIAZHYZMDO65IVDCAR7W4AF3GI}
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 | 2026-05-18T00:20:12.659929Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
720193e32c1bbdd45462047f6e00bb322b25e019f8ca85ff71251fd1dc283d1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OIAZHYZMDO65IVDCAR7W4AF3GI \
| 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: 720193e32c1bbdd45462047f6e00bb322b25e019f8ca85ff71251fd1dc283d1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f48580aae14ad9cf0625251efd30d11a7472ab29155b1f5dd05cafc571e186f3",
"cross_cats_sorted": [
"cs.LG",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-03-24T09:17:27Z",
"title_canon_sha256": "d53dc44d58336b39b76177631fba90fb0307a7235129d654570af2fcce3f3e7d"
},
"schema_version": "1.0",
"source": {
"id": "1803.09082",
"kind": "arxiv",
"version": 1
}
}