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Pith Number

pith:WHMR7YVQ

pith:2015:WHMR7YVQYGJ4JD337N3DCBQLER
not attested not anchored not stored refs pending

A Statistical Theory of Deep Learning via Proximal Splitting

Brandon T. Willard, Massoud Heidari, Nicholas G. Polson

arxiv:1509.06061 v1 · 2015-09-20 · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WHMR7YVQYGJ4JD337N3DCBQLER}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

1 paper in Pith

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

arxiv: 1509.06061 · arxiv_version: 1509.06061v1 · doi: 10.48550/arxiv.1509.06061 · pith_short_12: WHMR7YVQYGJ4 · pith_short_16: WHMR7YVQYGJ4JD33 · pith_short_8: WHMR7YVQ
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
  }
}