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Pith Number

pith:46WCWXSC

pith:2017:46WCWXSCK62QGMW4IKGESJNPGZ
not attested not anchored not stored refs pending

Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions

Andrew J. Majda, Nan Chen, Xin T. Tong

arxiv:1709.05585 v1 · 2017-09-17 · math.ST · stat.TH

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{46WCWXSCK62QGMW4IKGESJNPGZ}

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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 2026-05-18T00:35:00.241202Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

e7ac2b5e4257b50332dc428c4925af365f3313799d1615dc37be0aa609bb23b8

Aliases

arxiv: 1709.05585 · arxiv_version: 1709.05585v1 · doi: 10.48550/arxiv.1709.05585 · pith_short_12: 46WCWXSCK62Q · pith_short_16: 46WCWXSCK62QGMW4 · pith_short_8: 46WCWXSC
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/46WCWXSCK62QGMW4IKGESJNPGZ \
  | 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: e7ac2b5e4257b50332dc428c4925af365f3313799d1615dc37be0aa609bb23b8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "b9c948642320a4efd4e15325c821c2bb969ffb20ecf66db3c05f861a423eeb0d",
    "cross_cats_sorted": [
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2017-09-17T00:24:40Z",
    "title_canon_sha256": "e62d07911d7eaed6c89f21107f5d4192f37355be4c94c187d87516c0065f1530"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1709.05585",
    "kind": "arxiv",
    "version": 1
  }
}