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Pith Number

pith:BYD5SXEF

pith:2015:BYD5SXEFJIJZGPOFGUEZQJLBO2
not attested not anchored not stored refs pending

Optimal Subsampling Approaches for Large Sample Linear Regression

Bin Yu, Michael W. Mahoney, Ping Ma, Rong Zhu

arxiv:1509.05111 v2 · 2015-09-17 · stat.ME · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BYD5SXEFJIJZGPOFGUEZQJLBO2}

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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 2026-05-18T01:26:17.794957Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0e07d95c854a13933dc5350998256176b9b29de04646711cd4289fdb097f897d

Aliases

arxiv: 1509.05111 · arxiv_version: 1509.05111v2 · doi: 10.48550/arxiv.1509.05111 · pith_short_12: BYD5SXEFJIJZ · pith_short_16: BYD5SXEFJIJZGPOF · pith_short_8: BYD5SXEF
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BYD5SXEFJIJZGPOFGUEZQJLBO2 \
  | 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: 0e07d95c854a13933dc5350998256176b9b29de04646711cd4289fdb097f897d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d04032755ff1af517068c6f25cf65e37c1cc6e08cf2d24d9afd9f31b5aa361c4",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2015-09-17T03:25:21Z",
    "title_canon_sha256": "5e7c11159db58282d16ebcdee1f9abf883b412d08d3ccc9d0021ea63b2e97e3f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1509.05111",
    "kind": "arxiv",
    "version": 2
  }
}