pith. sign in
Pith Number

pith:ZLAUUYFT

pith:2017:ZLAUUYFTDAN3FW3SD64SVTB6J5
not attested not anchored not stored refs pending

Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models

Han Liu, Kean Ming Tan, Qiang Sun, Tong Zhang

arxiv:1706.01158 v1 · 2017-06-04 · stat.ML · math.ST · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZLAUUYFTDAN3FW3SD64SVTB6J5}

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 2026-05-18T00:43:04.308488Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

cac14a60b3181bb2db721fb92acc3e4f5ac9e39e1f2539652b834cdecac008c3

Aliases

arxiv: 1706.01158 · arxiv_version: 1706.01158v1 · doi: 10.48550/arxiv.1706.01158 · pith_short_12: ZLAUUYFTDAN3 · pith_short_16: ZLAUUYFTDAN3FW3S · pith_short_8: ZLAUUYFT
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZLAUUYFTDAN3FW3SD64SVTB6J5 \
  | 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: cac14a60b3181bb2db721fb92acc3e4f5ac9e39e1f2539652b834cdecac008c3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4fd76a77b8ae26909b025732680bc3598901424350b29cd4e6ccab8433e2e59a",
    "cross_cats_sorted": [
      "math.ST",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-06-04T23:20:13Z",
    "title_canon_sha256": "5bed644feb30f0263a4faedd8034ca0ecb295ac20886c171171e64becbeb2c69"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.01158",
    "kind": "arxiv",
    "version": 1
  }
}