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Pith Number

pith:PN76LMQ7

pith:2016:PN76LMQ7HXNQDEEYL2GTB3M2IW
not attested not anchored not stored refs pending

Group Sparse Regularization for Deep Neural Networks

Amir Hussain, Aurelio Uncini, Danilo Comminiello, Simone Scardapane

arxiv:1607.00485 v1 · 2016-07-02 · stat.ML · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PN76LMQ7HXNQDEEYL2GTB3M2IW}

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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.
Receipt and verification
First computed 2026-05-18T00:50:56.942668Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

7b7fe5b21f3ddb0190985e8d30ed9a45aeb726972b6b5ffe9c53db217a15059d

Aliases

arxiv: 1607.00485 · arxiv_version: 1607.00485v1 · doi: 10.48550/arxiv.1607.00485 · pith_short_12: PN76LMQ7HXNQ · pith_short_16: PN76LMQ7HXNQDEEY · pith_short_8: PN76LMQ7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PN76LMQ7HXNQDEEYL2GTB3M2IW \
  | 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: 7b7fe5b21f3ddb0190985e8d30ed9a45aeb726972b6b5ffe9c53db217a15059d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "8c2be599d7bc9e1aed6cca9dcdfdea6b59da66df69a1ceee370e79edf2c8a830",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2016-07-02T09:55:26Z",
    "title_canon_sha256": "cfa670e516b17881fb0faef9eef14bae5f64e1f6c8d3815332c7174ca3ecf57f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1607.00485",
    "kind": "arxiv",
    "version": 1
  }
}