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Pith Number

pith:W34DWCK7

pith:2017:W34DWCK7RIHJZ2W3TGN66MPYJM
not attested not anchored not stored refs pending

When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications

Grace Wahba, Hao Henry Zhou, Sterling C. Johnson, Vamsi K. Ithapu, Vikas Singh, Yilin Zhang

arxiv:1709.00640 v1 · 2017-09-02 · stat.ME · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W34DWCK7RIHJZ2W3TGN66MPYJM}

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 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 2026-05-18T00:36:07.401489Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b6f83b095f8a0e9ceadb999bef31f84b086ef0257d68937ffb14ba0c27a68dc0

Aliases

arxiv: 1709.00640 · arxiv_version: 1709.00640v1 · doi: 10.48550/arxiv.1709.00640 · pith_short_12: W34DWCK7RIHJ · pith_short_16: W34DWCK7RIHJZ2W3 · pith_short_8: W34DWCK7
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W34DWCK7RIHJZ2W3TGN66MPYJM \
  | 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: b6f83b095f8a0e9ceadb999bef31f84b086ef0257d68937ffb14ba0c27a68dc0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "eefbe37760d80f97826ba3d5d996fafddb255ab86c8fa11d3345162d760d8459",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2017-09-02T22:17:31Z",
    "title_canon_sha256": "a92efbe74414ecfaf090538332559b9f023cfd30bc6a6a00afdad87bd6a6f2a8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.00640",
    "kind": "arxiv",
    "version": 1
  }
}