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Pith Number

pith:NKBMZQQE

pith:2017:NKBMZQQEOKZZ34F3THLM4KGWWV
not attested not anchored not stored refs pending

Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations

Arnulf Jentzen, Christian Beck, Weinan E

arxiv:1709.05963 v1 · 2017-09-18 · math.NA · cs.LG · cs.NA · cs.NE · math.PR · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NKBMZQQEOKZZ34F3THLM4KGWWV}

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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 2026-06-04T19:10:59.663228Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6a82ccc20472b39df0bb99d6ce28d6b56f27274e82ae4e5ca83d9091a7acb590

Aliases

arxiv: 1709.05963 · arxiv_version: 1709.05963v1 · doi: 10.48550/arxiv.1709.05963 · pith_short_12: NKBMZQQEOKZZ · pith_short_16: NKBMZQQEOKZZ34F3 · pith_short_8: NKBMZQQE
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NKBMZQQEOKZZ34F3THLM4KGWWV \
  | 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: 6a82ccc20472b39df0bb99d6ce28d6b56f27274e82ae4e5ca83d9091a7acb590
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "5b4c5f6e66e9f53b292b6074cc526a3cfcf652c6143d9e737dc2477146a4c504",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.NA",
      "cs.NE",
      "math.PR",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2017-09-18T14:16:06Z",
    "title_canon_sha256": "435d7d0a17291ade91f00ae53c6cad04dd985a8953c21fb9a08e48ff44a3b0af"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.05963",
    "kind": "arxiv",
    "version": 1
  }
}