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Pith Number

pith:LP37CFJK

pith:2013:LP37CFJKTXCKP7XP3ZACZSCWB5
not attested not anchored not stored refs pending

A remarkably simple and accurate method for computing the Bayes Factor from a Markov chain Monte Carlo Simulation of the Posterior Distribution in high dimension

Ilsang Yoon, Martin D. Weinberg, Neal Katz

arxiv:1301.3156 v1 · 2013-01-14 · astro-ph.IM · stat.ME

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 2026-05-18T03:36:26.348100Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5bf7f1152a9dc4a7feefde402cc8560f5497ace9d88d64a29dedcf2d22ccfc55

Aliases

arxiv: 1301.3156 · arxiv_version: 1301.3156v1 · doi: 10.48550/arxiv.1301.3156 · pith_short_12: LP37CFJKTXCK · pith_short_16: LP37CFJKTXCKP7XP · pith_short_8: LP37CFJK
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LP37CFJKTXCKP7XP3ZACZSCWB5 \
  | 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: 5bf7f1152a9dc4a7feefde402cc8560f5497ace9d88d64a29dedcf2d22ccfc55
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d75f62fa450d4a5ee8bc73315418b928dfac519da9917e247a7dc349e5b468a5",
    "cross_cats_sorted": [
      "stat.ME"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2013-01-14T21:10:59Z",
    "title_canon_sha256": "cd5617dabe1f09bfa7124acab216cbaa9ddff69dde38c45b5a5fd40d8d1b264d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1301.3156",
    "kind": "arxiv",
    "version": 1
  }
}