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Pith Number

pith:UYL6K5KE

pith:2017:UYL6K5KE25MH55BX3YA5HGI4ER
not attested not anchored not stored refs pending

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

Beilun Wang, Ji Gao, Yanjun Qi

arxiv:1702.02715 v3 · 2017-02-09 · stat.ML · cs.LG · cs.PF

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UYL6K5KE25MH55BX3YA5HGI4ER}

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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 2026-05-18T00:20:39.973336Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

a617e57544d7587ef437de01d3991c246941eac0623295ce446860fb069041de

Aliases

arxiv: 1702.02715 · arxiv_version: 1702.02715v3 · doi: 10.48550/arxiv.1702.02715 · pith_short_12: UYL6K5KE25MH · pith_short_16: UYL6K5KE25MH55BX · pith_short_8: UYL6K5KE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UYL6K5KE25MH55BX3YA5HGI4ER \
  | 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: a617e57544d7587ef437de01d3991c246941eac0623295ce446860fb069041de
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f7be3d09e91f3ae5eef8e316a2ef03b44a687a53395d6ee202018644dc20d678",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.PF"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-02-09T06:09:48Z",
    "title_canon_sha256": "5c1ca773ed42d4d7960ea18e21eee0f0b93aa004794bd0791f0d9049cb963ef0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1702.02715",
    "kind": "arxiv",
    "version": 3
  }
}