Pith Number
pith:WHMR7YVQ
pith:2015:WHMR7YVQYGJ4JD337N3DCBQLER
not attested
not anchored
not stored
refs pending
A Statistical Theory of Deep Learning via Proximal Splitting
arxiv:1509.06061 v1 · 2015-09-20 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WHMR7YVQYGJ4JD337N3DCBQLER}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T01:32:35.971739Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b1d91fe2b0c193c48f7bfb7631060b246825b5425d58fcef9570d199717c1d91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WHMR7YVQYGJ4JD337N3DCBQLER \
| 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: b1d91fe2b0c193c48f7bfb7631060b246825b5425d58fcef9570d199717c1d91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f2660126087dee8a2e8ac85967091d62d15ddf61002a6125a28c3e1296fd9169",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2015-09-20T21:39:47Z",
"title_canon_sha256": "448d120eab20030867ac795b23453fb14addbe28ed594bb8c9db0806bf909e61"
},
"schema_version": "1.0",
"source": {
"id": "1509.06061",
"kind": "arxiv",
"version": 1
}
}