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Pith Number

pith:MQMEJBOB

pith:2018:MQMEJBOB7H4LMMK4NHTL4VJ4RI
not attested not anchored not stored refs pending

A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment

Chuliang Weng, Jianguo Chen, Kashif Bilal, Kenli Li, Keqin Li, Shui Yu, Zhuo Tang

arxiv:1810.07748 v1 · 2018-10-17 · cs.DC

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\usepackage{pith}
\pithnumber{MQMEJBOB7H4LMMK4NHTL4VJ4RI}

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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 2026-07-05T00:21:22.318581Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

64184485c1f9f8b6315c69e6be553c8a0dc4c22753c7ed4a6033064725519829

Aliases

arxiv: 1810.07748 · arxiv_version: 1810.07748v1 · doi: 10.48550/arxiv.1810.07748 · pith_short_12: MQMEJBOB7H4L · pith_short_16: MQMEJBOB7H4LMMK4 · pith_short_8: MQMEJBOB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MQMEJBOB7H4LMMK4NHTL4VJ4RI \
  | 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: 64184485c1f9f8b6315c69e6be553c8a0dc4c22753c7ed4a6033064725519829
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "ae2dc96a0d087524f408258331ba3df60031785d05c6fc43015d26b5127fd07a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2018-10-17T19:40:14Z",
    "title_canon_sha256": "916e9b4ab153ed44bb9c9cf5270a2a7820c2d67f2bf4436484f5a61ecf5e6117"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1810.07748",
    "kind": "arxiv",
    "version": 1
  }
}