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Pith Number

pith:7OHDXX4C

pith:2017:7OHDXX4CTWVRCVKLYMHZXUXNOR
not attested not anchored not stored refs pending

Efficient Monte Carlo Integration Using Boosted Decision Trees and Generative Deep Neural Networks

Joshua Bendavid

arxiv:1707.00028 v1 · 2017-06-30 · hep-ph · physics.comp-ph

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7OHDXX4CTWVRCVKLYMHZXUXNOR}

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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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:41:08.769947Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fb8e3bdf829dab11554bc30f9bd2ed744eb58abb8fc41989a0e367dbd2782215

Aliases

arxiv: 1707.00028 · arxiv_version: 1707.00028v1 · doi: 10.48550/arxiv.1707.00028 · pith_short_12: 7OHDXX4CTWVR · pith_short_16: 7OHDXX4CTWVRCVKL · pith_short_8: 7OHDXX4C
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7OHDXX4CTWVRCVKLYMHZXUXNOR \
  | 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: fb8e3bdf829dab11554bc30f9bd2ed744eb58abb8fc41989a0e367dbd2782215
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7d176d4e72b42943e2372b88ffbed6baba017bece2ed251ab5beab8add37b47d",
    "cross_cats_sorted": [
      "physics.comp-ph"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "hep-ph",
    "submitted_at": "2017-06-30T19:18:43Z",
    "title_canon_sha256": "ba4cab1865b71b93e2ac4479295fe6d61593dfcb28a86f9a8da40b01d45087c5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1707.00028",
    "kind": "arxiv",
    "version": 1
  }
}