pith. sign in
Pith Number

pith:ZZ4YEOLR

pith:2019:ZZ4YEOLRYRYG7S32FISH3UMK2W
not attested not anchored not stored refs pending

Faster Algorithms for High-Dimensional Robust Covariance Estimation

David Woodruff, Ilias Diakonikolas, Rong Ge, Yu Cheng

arxiv:1906.04661 v1 · 2019-06-11 · cs.LG · cs.DS · math.ST · stat.ML · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZZ4YEOLRYRYG7S32FISH3UMK2W}

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 2026-05-17T23:43:33.826710Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ce79823971c4706fcb7a2a247dd18ad591c9c25eca2d1bea9738b7fd7050b614

Aliases

arxiv: 1906.04661 · arxiv_version: 1906.04661v1 · doi: 10.48550/arxiv.1906.04661 · pith_short_12: ZZ4YEOLRYRYG · pith_short_16: ZZ4YEOLRYRYG7S32 · pith_short_8: ZZ4YEOLR
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZZ4YEOLRYRYG7S32FISH3UMK2W \
  | 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: ce79823971c4706fcb7a2a247dd18ad591c9c25eca2d1bea9738b7fd7050b614
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "2e97ccf89e94066ea19c8a9ea5c773eec02dc8681e1d5ac465b623d2e8401ee8",
    "cross_cats_sorted": [
      "cs.DS",
      "math.ST",
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2019-06-11T15:41:44Z",
    "title_canon_sha256": "08444e49b72d8bff38b4025168189e4878842362dbbcdbb67621daa7844e68f4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1906.04661",
    "kind": "arxiv",
    "version": 1
  }
}